# 13 Surgical audit and research

# ANAL YSING A SCIENTIFIC ARTICLE

ANAL YSING A SCIENTIFIC ARTICLE

The simplest way to analyse an article from a scientiﬁc journal is to look at the checklist of  requirements for good scientiﬁc research. A group of  scientists and editors developed the Consolidated Standards of  Reporting Trials (CONSORT) statement to improve the quality of  reporting of  RCTs. Looking in detail at the study design is often the best way of  deciding whether a trial is of  value. The CONSORT document includes a checklist for the conduct of  good RCTs ( Table 13.3 ). Often clinicians overlook biases that others ﬁnd obvious to detect, which can have a profound inﬂuence on the outcome of  any study . Even the randomised design does not always guarantee quality , and a core component of  systematic review is the grading of  trial quality; several scoring systems have been developed (e.g. Jadad score). Recent guidelines have been published formalising the methods of  systematic review and meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA] guidelines), and also many other types of  article. These can be found in the instruc tions to authors of  most surgical journals, which will now only accept articles that follow those rules. ANAL YSING A SCIENTIFIC ARTICLE

The simplest way to analyse an article from a scientiﬁc journal is to look at the checklist of  requirements for good scientiﬁc research. A group of  scientists and editors developed the Consolidated Standards of  Reporting Trials (CONSORT) statement to improve the quality of  reporting of  RCTs. Looking in detail at the study design is often the best way of  deciding whether a trial is of  value. The CONSORT document includes a checklist for the conduct of  good RCTs ( Table 13.3 ). Often clinicians overlook biases that others ﬁnd obvious to detect, which can have a profound inﬂuence on the outcome of  any study . Even the randomised design does not always guarantee quality , and a core component of  systematic review is the grading of  trial quality; several scoring systems have been developed (e.g. Jadad score). Recent guidelines have been published formalising the methods of  systematic review and meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA] guidelines), and also many other types of  article. These can be found in the instruc tions to authors of  most surgical journals, which will now only accept articles that follow those rules. ANAL YSING A SCIENTIFIC ARTICLE

The simplest way to analyse an article from a scientiﬁc journal is to look at the checklist of  requirements for good scientiﬁc research. A group of  scientists and editors developed the Consolidated Standards of  Reporting Trials (CONSORT) statement to improve the quality of  reporting of  RCTs. Looking in detail at the study design is often the best way of  deciding whether a trial is of  value. The CONSORT document includes a checklist for the conduct of  good RCTs ( Table 13.3 ). Often clinicians overlook biases that others ﬁnd obvious to detect, which can have a profound inﬂuence on the outcome of  any study . Even the randomised design does not always guarantee quality , and a core component of  systematic review is the grading of  trial quality; several scoring systems have been developed (e.g. Jadad score). Recent guidelines have been published formalising the methods of  systematic review and meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA] guidelines), and also many other types of  article. These can be found in the instruc tions to authors of  most surgical journals, which will now only accept articles that follow those rules.

# AUDIT AND SERVICE EVALUATION

AUDIT AND SERVICE EVALUATION

Clinical audit is a process used by clinicians who seek to improve patient care. The process involves comparing aspects of care (structure, process and outcome) against explicit criteria and deﬁned standards. Keeping track of  personal that a surgeon’s own performance is monitored continuously and can be compared with a national data set to ensure compliance with agreed standards. Involvement in active audit processes is also an essential component of  revalidation for the individual surgeon in the UK. If  care falls short of the guidance standard being compared against, some change in the way that care is organised should be proposed. This change may be required at one of  many levels. It might be an individual who needs training or surgical equipment that needs replacing. At times, the change may need to take place at the team level. Sometimes, the only appropriate action is change at an institutional level (e.g. a new antibiotic policy), regional level (provision of  a tertiary referral centre) or, indeed, national level (screening programmes and health education campaigns). There are two main types of  audit in common practice – single site/local audits and multisite regional, national or international audits. Both are designed to improve the quality of  care. In an ideal world local audits might identify needs closest to the patient, which can then be further investig in multisite larger scale audits. For example, hospital topics are often identiﬁed at departmental morbidity and mortality meetings, where issues relating to patient care are discussed. The reporting process might identify a possible national issue, and a national or international audit could be designed to be delivered by local surgical teams. Audits are formal processes that require a structure. The following steps are essential to establish an audit cycle: 1 Deﬁne the audit question in a multidisciplinary team. 2 Identify the body of  evidence and current standards. 3 Design the audit to measure performance against agreed standards based on strong evidence. Seek appropriate advice (local audit department in the UK) and ensure insti tutions have agreed to undertake the audit. 4 Measure over an agreed interval. 5 Analyse results and compare performance against agreed standards. 6 Undertake gap analysis: a if  all standards are reached, reaudit after an agreed interval; b if there is a need for improvement, identify possible interventions such as training, and agree with the involved parties. 7 Reaudit. A new type of  audit that has developed signiﬁcant trac tion in surgery over recent years is the ‘multicentre snapshot audit’, whereby many collaborators across multiple hospitals prospectively collate anonymised patient-level data for a spe ciﬁc condition, presentation or intervention over a short time period of normally around 6–8 weeks. This allows explora tion of  di ﬀ er ences in patients, techniques and management across the cohort to identify areas of  practice variability that may result in apparent di ﬀ erences in outcome. These studies Archibald Leman Cochrane , 1909–1988, Director of  the UK Medical Research Council Epidemiology Unit, Cardi ﬀ , UK, after whom the Cochrane Collaboration is named. tive research is needed. Key advantages of  these snapshot audits are their easy accessibility and the fact that they can be conducted at almost zero cost, so they can be an excellent means of bringing a new group together to collaborate and create contemporaneous and ‘real-world’ data together. AUDIT AND SERVICE EVALUATION

Clinical audit is a process used by clinicians who seek to improve patient care. The process involves comparing aspects of care (structure, process and outcome) against explicit criteria and deﬁned standards. Keeping track of  personal that a surgeon’s own performance is monitored continuously and can be compared with a national data set to ensure compliance with agreed standards. Involvement in active audit processes is also an essential component of  revalidation for the individual surgeon in the UK. If  care falls short of the guidance standard being compared against, some change in the way that care is organised should be proposed. This change may be required at one of  many levels. It might be an individual who needs training or surgical equipment that needs replacing. At times, the change may need to take place at the team level. Sometimes, the only appropriate action is change at an institutional level (e.g. a new antibiotic policy), regional level (provision of  a tertiary referral centre) or, indeed, national level (screening programmes and health education campaigns). There are two main types of  audit in common practice – single site/local audits and multisite regional, national or international audits. Both are designed to improve the quality of  care. In an ideal world local audits might identify needs closest to the patient, which can then be further investig in multisite larger scale audits. For example, hospital topics are often identiﬁed at departmental morbidity and mortality meetings, where issues relating to patient care are discussed. The reporting process might identify a possible national issue, and a national or international audit could be designed to be delivered by local surgical teams. Audits are formal processes that require a structure. The following steps are essential to establish an audit cycle: 1 Deﬁne the audit question in a multidisciplinary team. 2 Identify the body of  evidence and current standards. 3 Design the audit to measure performance against agreed standards based on strong evidence. Seek appropriate advice (local audit department in the UK) and ensure insti tutions have agreed to undertake the audit. 4 Measure over an agreed interval. 5 Analyse results and compare performance against agreed standards. 6 Undertake gap analysis: a if  all standards are reached, reaudit after an agreed interval; b if there is a need for improvement, identify possible interventions such as training, and agree with the involved parties. 7 Reaudit. A new type of  audit that has developed signiﬁcant trac tion in surgery over recent years is the ‘multicentre snapshot audit’, whereby many collaborators across multiple hospitals prospectively collate anonymised patient-level data for a spe ciﬁc condition, presentation or intervention over a short time period of normally around 6–8 weeks. This allows explora tion of  di ﬀ er ences in patients, techniques and management across the cohort to identify areas of  practice variability that may result in apparent di ﬀ erences in outcome. These studies Archibald Leman Cochrane , 1909–1988, Director of  the UK Medical Research Council Epidemiology Unit, Cardi ﬀ , UK, after whom the Cochrane Collaboration is named. tive research is needed. Key advantages of  these snapshot audits are their easy accessibility and the fact that they can be conducted at almost zero cost, so they can be an excellent means of bringing a new group together to collaborate and create contemporaneous and ‘real-world’ data together. AUDIT AND SERVICE EVALUATION

Clinical audit is a process used by clinicians who seek to improve patient care. The process involves comparing aspects of care (structure, process and outcome) against explicit criteria and deﬁned standards. Keeping track of  personal that a surgeon’s own performance is monitored continuously and can be compared with a national data set to ensure compliance with agreed standards. Involvement in active audit processes is also an essential component of  revalidation for the individual surgeon in the UK. If  care falls short of the guidance standard being compared against, some change in the way that care is organised should be proposed. This change may be required at one of  many levels. It might be an individual who needs training or surgical equipment that needs replacing. At times, the change may need to take place at the team level. Sometimes, the only appropriate action is change at an institutional level (e.g. a new antibiotic policy), regional level (provision of  a tertiary referral centre) or, indeed, national level (screening programmes and health education campaigns). There are two main types of  audit in common practice – single site/local audits and multisite regional, national or international audits. Both are designed to improve the quality of  care. In an ideal world local audits might identify needs closest to the patient, which can then be further investig in multisite larger scale audits. For example, hospital topics are often identiﬁed at departmental morbidity and mortality meetings, where issues relating to patient care are discussed. The reporting process might identify a possible national issue, and a national or international audit could be designed to be delivered by local surgical teams. Audits are formal processes that require a structure. The following steps are essential to establish an audit cycle: 1 Deﬁne the audit question in a multidisciplinary team. 2 Identify the body of  evidence and current standards. 3 Design the audit to measure performance against agreed standards based on strong evidence. Seek appropriate advice (local audit department in the UK) and ensure insti tutions have agreed to undertake the audit. 4 Measure over an agreed interval. 5 Analyse results and compare performance against agreed standards. 6 Undertake gap analysis: a if  all standards are reached, reaudit after an agreed interval; b if there is a need for improvement, identify possible interventions such as training, and agree with the involved parties. 7 Reaudit. A new type of  audit that has developed signiﬁcant trac tion in surgery over recent years is the ‘multicentre snapshot audit’, whereby many collaborators across multiple hospitals prospectively collate anonymised patient-level data for a spe ciﬁc condition, presentation or intervention over a short time period of normally around 6–8 weeks. This allows explora tion of  di ﬀ er ences in patients, techniques and management across the cohort to identify areas of  practice variability that may result in apparent di ﬀ erences in outcome. These studies Archibald Leman Cochrane , 1909–1988, Director of  the UK Medical Research Council Epidemiology Unit, Cardi ﬀ , UK, after whom the Cochrane Collaboration is named. tive research is needed. Key advantages of  these snapshot audits are their easy accessibility and the fact that they can be conducted at almost zero cost, so they can be an excellent means of bringing a new group together to collaborate and create contemporaneous and ‘real-world’ data together.

# AUDIT OR RESEARCH

AUDIT OR RESEARCH?

Health professionals are expected to undertake audit and service evaluation as part of  quality assurance. These usually involve minimal additional risk, burden or intrusion for partici pants. It is important to determine at an early stage whether a project is audit or research, and sometimes that is not as easy as it seems. T he decision will determine the framework in which the study is undertaken. In the UK, the Health Research Authority (HRA) has developed a decision tool to help decide whether your project is classiﬁed as research (http://www .hra-decisiontools.org.uk/research/). This tool crystallises the di ﬀ erentiation between audit and research to three overarching questions: 1 Are the participants in your study randomised to di ﬀ erent groups? 2 Does your study protocol demand changing treatment/ care/services from accepted standards for any of  the patients/service users involved? 3 Is your study designed to produce generalisable or trans - ferable ﬁndings? - Although the ﬁrst two questions are simple to comprehend, the third can create some confusion at times. The HRA states that, in this context, ‘generalisable’ means the ﬁndings can be reliably extrapolated from the study to a br oader population of  patients/service users and/or applied to settings or con - - texts other than those in which they were tested. The majority of  audits can be assumed to be hypothesis generating as they would require subsequent prospective testing in a new popula - tion before ﬁndings could be considered as new ‘evidence’ – as . The such they do not fulﬁl this generalisability criterion. Finally , in this context, ‘transferable’ means that the ﬁndings of a qualita - tiv e study can be assumed to be applicable to a similar context or setting. Most qualitative studies are not usually generalisable - but can quite often be considered to be transferable. Further useful information on classifying your proposed project can be found in the HRA leaﬂet ‘Di ﬀ er entiating clinical audit, service evaluation, research and usual practice/surveil - lance work in pub lic health’ (http://www .hra-decisiontools. org.uk/research/docs/DeﬁningResearchTable_Oct2017-1. pdf). - 

How to review a journal article and determine
•
its value

AUDIT OR RESEARCH?

Health professionals are expected to undertake audit and service evaluation as part of  quality assurance. These usually involve minimal additional risk, burden or intrusion for partici pants. It is important to determine at an early stage whether a project is audit or research, and sometimes that is not as easy as it seems. T he decision will determine the framework in which the study is undertaken. In the UK, the Health Research Authority (HRA) has developed a decision tool to help decide whether your project is classiﬁed as research (http://www .hra-decisiontools.org.uk/research/). This tool crystallises the di ﬀ erentiation between audit and research to three overarching questions: 1 Are the participants in your study randomised to di ﬀ erent groups? 2 Does your study protocol demand changing treatment/ care/services from accepted standards for any of  the patients/service users involved? 3 Is your study designed to produce generalisable or trans - ferable ﬁndings? - Although the ﬁrst two questions are simple to comprehend, the third can create some confusion at times. The HRA states that, in this context, ‘generalisable’ means the ﬁndings can be reliably extrapolated from the study to a br oader population of  patients/service users and/or applied to settings or con - - texts other than those in which they were tested. The majority of  audits can be assumed to be hypothesis generating as they would require subsequent prospective testing in a new popula - tion before ﬁndings could be considered as new ‘evidence’ – as . The such they do not fulﬁl this generalisability criterion. Finally , in this context, ‘transferable’ means that the ﬁndings of a qualita - tiv e study can be assumed to be applicable to a similar context or setting. Most qualitative studies are not usually generalisable - but can quite often be considered to be transferable. Further useful information on classifying your proposed project can be found in the HRA leaﬂet ‘Di ﬀ er entiating clinical audit, service evaluation, research and usual practice/surveil - lance work in pub lic health’ (http://www .hra-decisiontools. org.uk/research/docs/DeﬁningResearchTable_Oct2017-1. pdf). - 

How to review a journal article and determine
•
its value

AUDIT OR RESEARCH?

Health professionals are expected to undertake audit and service evaluation as part of  quality assurance. These usually involve minimal additional risk, burden or intrusion for partici pants. It is important to determine at an early stage whether a project is audit or research, and sometimes that is not as easy as it seems. T he decision will determine the framework in which the study is undertaken. In the UK, the Health Research Authority (HRA) has developed a decision tool to help decide whether your project is classiﬁed as research (http://www .hra-decisiontools.org.uk/research/). This tool crystallises the di ﬀ erentiation between audit and research to three overarching questions: 1 Are the participants in your study randomised to di ﬀ erent groups? 2 Does your study protocol demand changing treatment/ care/services from accepted standards for any of  the patients/service users involved? 3 Is your study designed to produce generalisable or trans - ferable ﬁndings? - Although the ﬁrst two questions are simple to comprehend, the third can create some confusion at times. The HRA states that, in this context, ‘generalisable’ means the ﬁndings can be reliably extrapolated from the study to a br oader population of  patients/service users and/or applied to settings or con - - texts other than those in which they were tested. The majority of  audits can be assumed to be hypothesis generating as they would require subsequent prospective testing in a new popula - tion before ﬁndings could be considered as new ‘evidence’ – as . The such they do not fulﬁl this generalisability criterion. Finally , in this context, ‘transferable’ means that the ﬁndings of a qualita - tiv e study can be assumed to be applicable to a similar context or setting. Most qualitative studies are not usually generalisable - but can quite often be considered to be transferable. Further useful information on classifying your proposed project can be found in the HRA leaﬂet ‘Di ﬀ er entiating clinical audit, service evaluation, research and usual practice/surveil - lance work in pub lic health’ (http://www .hra-decisiontools. org.uk/research/docs/DeﬁningResearchTable_Oct2017-1. pdf). - 

How to review a journal article and determine
•
its value

# Computer software packages available

Computer software packages available

Statistical computer packages o ﬀ er a quick way of  analysing descriptive statistics such as mean, median and range, as well as the most commonly used statistical tests such as the chi-squared test. Various packages are available commercially and are useful tools in data analysis. Computer software packages available

Statistical computer packages o ﬀ er a quick way of  analysing descriptive statistics such as mean, median and range, as well as the most commonly used statistical tests such as the chi-squared test. Various packages are available commercially and are useful tools in data analysis. Computer software packages available

Statistical computer packages o ﬀ er a quick way of  analysing descriptive statistics such as mean, median and range, as well as the most commonly used statistical tests such as the chi-squared test. Various packages are available commercially and are useful tools in data analysis.

# EVIDENCE-BASED SURGERY

EVIDENCE-BASED SURGERY

Surgical practice has been considered an art: ask 50 surgeons how to manage a patient and you will probably get 50 di ﬀ erent answers. There is so much clinical information available that no surgeon can know it all. Evidence-based surgery is a move to ﬁnd the best ways of  managing patients using clinical evidence from collected studies. It was estimated that su ﬃ cient evidence to justify routine myocardial thrombolysis for heart attacks was available years before the randomised clinical studies that ﬁnally made it clinically acceptable; no one had gathered all the available information together. Centres such as the Cochrane Collaboration have been collecting randomised trials and reviews to provide up-to-date information for clinicians. The Cochrane Library presently includes a database of  systema tic reviews, reviews of  surgical e ﬀ ectiveness and a register of  controlled trials. The BJS been collecting surgical randomised trials on its website archive for 20 years (www .bjs.co.uk) . As evidence accumulates, it is expected that this will gradually smooth out the di ﬀ erences between clinicians as the best way of  managing patients becomes mor e obvious. Collecting published evidence together and analysing it often requires reviews of  multiple randomised designed to interpret multiple ﬁndings and synthesise the - results of  multiple studies. EVIDENCE-BASED SURGERY

Surgical practice has been considered an art: ask 50 surgeons how to manage a patient and you will probably get 50 di ﬀ erent answers. There is so much clinical information available that no surgeon can know it all. Evidence-based surgery is a move to ﬁnd the best ways of  managing patients using clinical evidence from collected studies. It was estimated that su ﬃ cient evidence to justify routine myocardial thrombolysis for heart attacks was available years before the randomised clinical studies that ﬁnally made it clinically acceptable; no one had gathered all the available information together. Centres such as the Cochrane Collaboration have been collecting randomised trials and reviews to provide up-to-date information for clinicians. The Cochrane Library presently includes a database of  systema tic reviews, reviews of  surgical e ﬀ ectiveness and a register of  controlled trials. The BJS been collecting surgical randomised trials on its website archive for 20 years (www .bjs.co.uk) . As evidence accumulates, it is expected that this will gradually smooth out the di ﬀ erences between clinicians as the best way of  managing patients becomes mor e obvious. Collecting published evidence together and analysing it often requires reviews of  multiple randomised designed to interpret multiple ﬁndings and synthesise the - results of  multiple studies. EVIDENCE-BASED SURGERY

Surgical practice has been considered an art: ask 50 surgeons how to manage a patient and you will probably get 50 di ﬀ erent answers. There is so much clinical information available that no surgeon can know it all. Evidence-based surgery is a move to ﬁnd the best ways of  managing patients using clinical evidence from collected studies. It was estimated that su ﬃ cient evidence to justify routine myocardial thrombolysis for heart attacks was available years before the randomised clinical studies that ﬁnally made it clinically acceptable; no one had gathered all the available information together. Centres such as the Cochrane Collaboration have been collecting randomised trials and reviews to provide up-to-date information for clinicians. The Cochrane Library presently includes a database of  systema tic reviews, reviews of  surgical e ﬀ ectiveness and a register of  controlled trials. The BJS been collecting surgical randomised trials on its website archive for 20 years (www .bjs.co.uk) . As evidence accumulates, it is expected that this will gradually smooth out the di ﬀ erences between clinicians as the best way of  managing patients becomes mor e obvious. Collecting published evidence together and analysing it often requires reviews of  multiple randomised designed to interpret multiple ﬁndings and synthesise the - results of  multiple studies.

# Eliminating bias

Eliminating bias

It is important to imagine how a study could be invalidated by thinking of  things that could go wrong. One way to eliminate any bias inherent in the data collection is to have observers or recorders who do not know which treatment has been used (blinded observer). It might also be possible to ensure that the patient is unaware of  the treatment allocation (single blind). In the best randomised studies, neither patient nor researcher is aware of  which therapy has been used until after the study has ﬁnished (double blind). Randomised trials are essential for testing new drugs. In practice, however, in some surgical trials, randomisation may not be possible or ethical. Eliminating bias

It is important to imagine how a study could be invalidated by thinking of  things that could go wrong. One way to eliminate any bias inherent in the data collection is to have observers or recorders who do not know which treatment has been used (blinded observer). It might also be possible to ensure that the patient is unaware of  the treatment allocation (single blind). In the best randomised studies, neither patient nor researcher is aware of  which therapy has been used until after the study has ﬁnished (double blind). Randomised trials are essential for testing new drugs. In practice, however, in some surgical trials, randomisation may not be possible or ethical. Eliminating bias

It is important to imagine how a study could be invalidated by thinking of  things that could go wrong. One way to eliminate any bias inherent in the data collection is to have observers or recorders who do not know which treatment has been used (blinded observer). It might also be possible to ensure that the patient is unaware of  the treatment allocation (single blind). In the best randomised studies, neither patient nor researcher is aware of  which therapy has been used until after the study has ﬁnished (double blind). Randomised trials are essential for testing new drugs. In practice, however, in some surgical trials, randomisation may not be possible or ethical.

# Ethics

Ethics

In the ﬁrst instance, common sense is the best guide to whether or not a study is ethical. It is still important to seek advice from an independent research ethics committee whenever research is contemplated. In the UK the requirement is that an NHS Research Eth - ics Committee (NHS REC) provides an independent ethical review of  all health and social care research if  it involves - patients and/or carers. The Go vernance arrangements for - Research Ethics Committees (GafREC) provides detailed guid - ance about NHS REC review requirements. The application for NHS REC review is made using the Integrated Research Application System (IRAS). IRAS enables entry of  informa - - tion about the pr oject once, instead of  duplicating information in separate application forms for regulators. If  the study does not require review b y an NHS REC, the need for an independent ethical review should still be con - sidered. Universities have developed their own ethical review infrastructure and this will be institute speciﬁc and loca tion speciﬁc. For collaborative research, local ethical review should be obtained wher e possible, and developing a local ethics infrastructure should be considered if  it does not already exist. Duplication of  ethical review should be avoided. Ethics committee forms may seem long and detailed, but it is important that these are ﬁlled in correctly as this helps to All dealings with ethics committees should be intelligent and courteous. It is important to attend the meeting at which the study will be discussed, if invited, as it provides a forum for direct communication in relation to the study . It can save time as possible concerns of  the ethics committee can be addressed at the time, avoiding lengthy correspondence. Ethics

In the ﬁrst instance, common sense is the best guide to whether or not a study is ethical. It is still important to seek advice from an independent research ethics committee whenever research is contemplated. In the UK the requirement is that an NHS Research Eth - ics Committee (NHS REC) provides an independent ethical review of  all health and social care research if  it involves - patients and/or carers. The Go vernance arrangements for - Research Ethics Committees (GafREC) provides detailed guid - ance about NHS REC review requirements. The application for NHS REC review is made using the Integrated Research Application System (IRAS). IRAS enables entry of  informa - - tion about the pr oject once, instead of  duplicating information in separate application forms for regulators. If  the study does not require review b y an NHS REC, the need for an independent ethical review should still be con - sidered. Universities have developed their own ethical review infrastructure and this will be institute speciﬁc and loca tion speciﬁc. For collaborative research, local ethical review should be obtained wher e possible, and developing a local ethics infrastructure should be considered if  it does not already exist. Duplication of  ethical review should be avoided. Ethics committee forms may seem long and detailed, but it is important that these are ﬁlled in correctly as this helps to All dealings with ethics committees should be intelligent and courteous. It is important to attend the meeting at which the study will be discussed, if invited, as it provides a forum for direct communication in relation to the study . It can save time as possible concerns of  the ethics committee can be addressed at the time, avoiding lengthy correspondence. Ethics

In the ﬁrst instance, common sense is the best guide to whether or not a study is ethical. It is still important to seek advice from an independent research ethics committee whenever research is contemplated. In the UK the requirement is that an NHS Research Eth - ics Committee (NHS REC) provides an independent ethical review of  all health and social care research if  it involves - patients and/or carers. The Go vernance arrangements for - Research Ethics Committees (GafREC) provides detailed guid - ance about NHS REC review requirements. The application for NHS REC review is made using the Integrated Research Application System (IRAS). IRAS enables entry of  informa - - tion about the pr oject once, instead of  duplicating information in separate application forms for regulators. If  the study does not require review b y an NHS REC, the need for an independent ethical review should still be con - sidered. Universities have developed their own ethical review infrastructure and this will be institute speciﬁc and loca tion speciﬁc. For collaborative research, local ethical review should be obtained wher e possible, and developing a local ethics infrastructure should be considered if  it does not already exist. Duplication of  ethical review should be avoided. Ethics committee forms may seem long and detailed, but it is important that these are ﬁlled in correctly as this helps to All dealings with ethics committees should be intelligent and courteous. It is important to attend the meeting at which the study will be discussed, if invited, as it provides a forum for direct communication in relation to the study . It can save time as possible concerns of  the ethics committee can be addressed at the time, avoiding lengthy correspondence.

# FORMING A TEAM

FORMING A TEAM

One of  the most common reasons for the failure of  an other wise good research project is failure to involve others. Only the smallest single-centre project can be delivered by an individual researcher working alone; almost any project worth doing will need a team to deliver it. This team can bring the necessary skills and e xperience to help bring the project to fruition but also, and perhaps more importantly , it can provide the momen tum required to keep pushing a project through to completion when the inevitable hurdles are met. There may be local colleagues who form a natural team for a project, perhaps with the oversight of  an experienced trainer or mentor. Another solution can be to get involved in a collaborative research gr oup. Surgery has led the way with collaborative research working over recent years. The ﬁrst trainee-level research collaborative in the UK was formed in 2008 when a group of  surgical trainees who shared the same frustrations around the challenges of  conducting high-quality research while eng aged in a full-time training programme came together to create the West Midlands Research Collaborative (WMRC). The premise was simple: to create and conduct prospective r esearch projects that simultaneously collate data from across all of  the members’ - units and to take advantage of  the rotation of  trainees’ postings between units to ensure project longevity and thus enable longer term outcome collection. By achieving a critical mass of  engaged members in these projects, the collective momentum ensured completion even if  individuals were - unable to personally contribute in a consistent manner because of  examinations, family life or busy clinical periods. Such research collaboratives can be most e ﬀ ective in undertaking two key types of  study: (i) simple randomised controlled trials (RCTs) and (ii) multicentre snapshot audits (see Audit and - service evaluation ). The ﬁrst RCT undertaken by the WMRC was the ROSSINI trial, which explored the clinical e ﬀ ectiveness of a simple wound-edge protection device in reducing wound infections after abdominal surgery . A network of  trainees mobilised 21 units f or the trial and together they completed - the trial 2 /uni00A0 months ahead of  schedule, having randomised 760 patients over a 23-month period, completing in January 2013. This achievement galvanised the research collaborative model and stimulated other new groups to form. There are now general surgical research collaboratives in every region of  the UK and national collaboratives for each surgical subspeciality area such as neurosurgery and cardiothoracic surgery . Many other countries with rotational surgical training programmes have also formed their own par - allel collaboratives, including Australia, Portugal, Italy , The Netherlands and Canada. The collaborative movement has 

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accessibility of Cochrane Reviews published
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tice, engaged thousands of  surgical trainees and their consul tant mentors and created an active network of  research active clinicians at many hospitals across the world. In the UK, trainee collaboratives have, to date, developed at least 10 RCTs and been awar ded competitive grant fund ing worth over £8 /uni00A0 million. The model has also extended to medical student collaboratives (STARSurg), and all 42 medical sc hools in the UK now have an active network student research collaborative. More r ecently , similar research collaboratives have also formed, utilising the established core principles, in non-surgical specialities such as anaesthetics, gastroenterology and elderly care. All of  these collaborative groups work on a principle of complete inclusivity – any interested person is very welcome to get involved in the collaborative; both in existing projects and in suggesting new ideas. People can join at any stage fr om medical student to consultant. Anyone interested in sur gical research should seek out their local or national surgical research collaborative group and get involved. FORMING A TEAM

One of  the most common reasons for the failure of  an other wise good research project is failure to involve others. Only the smallest single-centre project can be delivered by an individual researcher working alone; almost any project worth doing will need a team to deliver it. This team can bring the necessary skills and e xperience to help bring the project to fruition but also, and perhaps more importantly , it can provide the momen tum required to keep pushing a project through to completion when the inevitable hurdles are met. There may be local colleagues who form a natural team for a project, perhaps with the oversight of  an experienced trainer or mentor. Another solution can be to get involved in a collaborative research gr oup. Surgery has led the way with collaborative research working over recent years. The ﬁrst trainee-level research collaborative in the UK was formed in 2008 when a group of  surgical trainees who shared the same frustrations around the challenges of  conducting high-quality research while eng aged in a full-time training programme came together to create the West Midlands Research Collaborative (WMRC). The premise was simple: to create and conduct prospective r esearch projects that simultaneously collate data from across all of  the members’ - units and to take advantage of  the rotation of  trainees’ postings between units to ensure project longevity and thus enable longer term outcome collection. By achieving a critical mass of  engaged members in these projects, the collective momentum ensured completion even if  individuals were - unable to personally contribute in a consistent manner because of  examinations, family life or busy clinical periods. Such research collaboratives can be most e ﬀ ective in undertaking two key types of  study: (i) simple randomised controlled trials (RCTs) and (ii) multicentre snapshot audits (see Audit and - service evaluation ). The ﬁrst RCT undertaken by the WMRC was the ROSSINI trial, which explored the clinical e ﬀ ectiveness of a simple wound-edge protection device in reducing wound infections after abdominal surgery . A network of  trainees mobilised 21 units f or the trial and together they completed - the trial 2 /uni00A0 months ahead of  schedule, having randomised 760 patients over a 23-month period, completing in January 2013. This achievement galvanised the research collaborative model and stimulated other new groups to form. There are now general surgical research collaboratives in every region of  the UK and national collaboratives for each surgical subspeciality area such as neurosurgery and cardiothoracic surgery . Many other countries with rotational surgical training programmes have also formed their own par - allel collaboratives, including Australia, Portugal, Italy , The Netherlands and Canada. The collaborative movement has 

Coverage
Availability
Internet
PubMed comprises more than 25 million
citations for biomedical literature from
MEDLINE, life science journals and online
books
Citations may include links to full-text content
from PubMed Central and publisher websites
Internet
Full-text archive of biomedical and life
sciences journal literature at the US National
Institutes of Health’s National Library of
Medicine
Subscription
Providing extensive coverage of peer-
reviewed biomedical literature, along
with indexing, searching and information
management tools
Cumulated index to nursing and allied health
Subscription
literature
Internet
Preparing, updating and promoting the
accessibility of Cochrane Reviews published
online in The Cochrane Library

tice, engaged thousands of  surgical trainees and their consul tant mentors and created an active network of  research active clinicians at many hospitals across the world. In the UK, trainee collaboratives have, to date, developed at least 10 RCTs and been awar ded competitive grant fund ing worth over £8 /uni00A0 million. The model has also extended to medical student collaboratives (STARSurg), and all 42 medical sc hools in the UK now have an active network student research collaborative. More r ecently , similar research collaboratives have also formed, utilising the established core principles, in non-surgical specialities such as anaesthetics, gastroenterology and elderly care. All of  these collaborative groups work on a principle of complete inclusivity – any interested person is very welcome to get involved in the collaborative; both in existing projects and in suggesting new ideas. People can join at any stage fr om medical student to consultant. Anyone interested in sur gical research should seek out their local or national surgical research collaborative group and get involved. FORMING A TEAM

One of  the most common reasons for the failure of  an other wise good research project is failure to involve others. Only the smallest single-centre project can be delivered by an individual researcher working alone; almost any project worth doing will need a team to deliver it. This team can bring the necessary skills and e xperience to help bring the project to fruition but also, and perhaps more importantly , it can provide the momen tum required to keep pushing a project through to completion when the inevitable hurdles are met. There may be local colleagues who form a natural team for a project, perhaps with the oversight of  an experienced trainer or mentor. Another solution can be to get involved in a collaborative research gr oup. Surgery has led the way with collaborative research working over recent years. The ﬁrst trainee-level research collaborative in the UK was formed in 2008 when a group of  surgical trainees who shared the same frustrations around the challenges of  conducting high-quality research while eng aged in a full-time training programme came together to create the West Midlands Research Collaborative (WMRC). The premise was simple: to create and conduct prospective r esearch projects that simultaneously collate data from across all of  the members’ - units and to take advantage of  the rotation of  trainees’ postings between units to ensure project longevity and thus enable longer term outcome collection. By achieving a critical mass of  engaged members in these projects, the collective momentum ensured completion even if  individuals were - unable to personally contribute in a consistent manner because of  examinations, family life or busy clinical periods. Such research collaboratives can be most e ﬀ ective in undertaking two key types of  study: (i) simple randomised controlled trials (RCTs) and (ii) multicentre snapshot audits (see Audit and - service evaluation ). The ﬁrst RCT undertaken by the WMRC was the ROSSINI trial, which explored the clinical e ﬀ ectiveness of a simple wound-edge protection device in reducing wound infections after abdominal surgery . A network of  trainees mobilised 21 units f or the trial and together they completed - the trial 2 /uni00A0 months ahead of  schedule, having randomised 760 patients over a 23-month period, completing in January 2013. This achievement galvanised the research collaborative model and stimulated other new groups to form. There are now general surgical research collaboratives in every region of  the UK and national collaboratives for each surgical subspeciality area such as neurosurgery and cardiothoracic surgery . Many other countries with rotational surgical training programmes have also formed their own par - allel collaboratives, including Australia, Portugal, Italy , The Netherlands and Canada. The collaborative movement has 

Coverage
Availability
Internet
PubMed comprises more than 25 million
citations for biomedical literature from
MEDLINE, life science journals and online
books
Citations may include links to full-text content
from PubMed Central and publisher websites
Internet
Full-text archive of biomedical and life
sciences journal literature at the US National
Institutes of Health’s National Library of
Medicine
Subscription
Providing extensive coverage of peer-
reviewed biomedical literature, along
with indexing, searching and information
management tools
Cumulated index to nursing and allied health
Subscription
literature
Internet
Preparing, updating and promoting the
accessibility of Cochrane Reviews published
online in The Cochrane Library

tice, engaged thousands of  surgical trainees and their consul tant mentors and created an active network of  research active clinicians at many hospitals across the world. In the UK, trainee collaboratives have, to date, developed at least 10 RCTs and been awar ded competitive grant fund ing worth over £8 /uni00A0 million. The model has also extended to medical student collaboratives (STARSurg), and all 42 medical sc hools in the UK now have an active network student research collaborative. More r ecently , similar research collaboratives have also formed, utilising the established core principles, in non-surgical specialities such as anaesthetics, gastroenterology and elderly care. All of  these collaborative groups work on a principle of complete inclusivity – any interested person is very welcome to get involved in the collaborative; both in existing projects and in suggesting new ideas. People can join at any stage fr om medical student to consultant. Anyone interested in sur gical research should seek out their local or national surgical research collaborative group and get involved.

# FURTHER READING

FURTHER READING

Altman DG, Machin D, Bryant TN, Gardner MJ. Statistics with conﬁ - dence , 2nd edn. London: BMJ Publishing  Group,  2002. Dindo D, Demartines N, Clavien P-A. Classiﬁcation of  surgical com - plications: a new proposal with evaluation of  a cohort of  6336 patients and the results of  a survey . Ann Surg 2004; 240: 205–13. Greenhalgh T . How to read a paper: the basics of  evidence-based medicine , 6th edn. Hoboken NJ: Wiley Blackwell, 2019. Kilkenny C, Browne WJ, Cuthill IC et al . Improving bioscience re - search reporting: the ARRIVE guidelines for reporting animal re - search. PloS Biol 2010; 8 (6): e1000413. - Kirkwood BR Essentials of  medical statistics, 2nd edn. Oxford: Blackwell Publishing, 2003. - McCulloch P , Altman DG, Campbell WB et al . No surgical innovation without evaluation: the IDEAL recommendations. Lancet 2009; 374 (9695): 1105–13. Moher D, Cooke DJ, Eastwood S et al. Improving the quality of  re - - ports of  meta-analyses of  randomised controlled trials: the QUO - RUM statement. Lancet 2009; 354: 1896–900. Moher D, Liberati A, Tetzla ﬀ J et al. , The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the - PRISMA Statement. Open Med 2009; 3 : 123–30. Pinkney TD, Calvert M, Bartlett DC et al . Impact of  wound edge protection devices on surgical site infection after laparotomy: mul - ticentre randomised controlled trial (ROSSINI Trial). BMJ 2013; BMJ 347 : f4305. - FURTHER READING

Altman DG, Machin D, Bryant TN, Gardner MJ. Statistics with conﬁ - dence , 2nd edn. London: BMJ Publishing  Group,  2002. Dindo D, Demartines N, Clavien P-A. Classiﬁcation of  surgical com - plications: a new proposal with evaluation of  a cohort of  6336 patients and the results of  a survey . Ann Surg 2004; 240: 205–13. Greenhalgh T . How to read a paper: the basics of  evidence-based medicine , 6th edn. Hoboken NJ: Wiley Blackwell, 2019. Kilkenny C, Browne WJ, Cuthill IC et al . Improving bioscience re - search reporting: the ARRIVE guidelines for reporting animal re - search. PloS Biol 2010; 8 (6): e1000413. - Kirkwood BR Essentials of  medical statistics, 2nd edn. Oxford: Blackwell Publishing, 2003. - McCulloch P , Altman DG, Campbell WB et al . No surgical innovation without evaluation: the IDEAL recommendations. Lancet 2009; 374 (9695): 1105–13. Moher D, Cooke DJ, Eastwood S et al. Improving the quality of  re - - ports of  meta-analyses of  randomised controlled trials: the QUO - RUM statement. Lancet 2009; 354: 1896–900. Moher D, Liberati A, Tetzla ﬀ J et al. , The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the - PRISMA Statement. Open Med 2009; 3 : 123–30. Pinkney TD, Calvert M, Bartlett DC et al . Impact of  wound edge protection devices on surgical site infection after laparotomy: mul - ticentre randomised controlled trial (ROSSINI Trial). BMJ 2013; BMJ 347 : f4305. - FURTHER READING

Altman DG, Machin D, Bryant TN, Gardner MJ. Statistics with conﬁ - dence , 2nd edn. London: BMJ Publishing  Group,  2002. Dindo D, Demartines N, Clavien P-A. Classiﬁcation of  surgical com - plications: a new proposal with evaluation of  a cohort of  6336 patients and the results of  a survey . Ann Surg 2004; 240: 205–13. Greenhalgh T . How to read a paper: the basics of  evidence-based medicine , 6th edn. Hoboken NJ: Wiley Blackwell, 2019. Kilkenny C, Browne WJ, Cuthill IC et al . Improving bioscience re - search reporting: the ARRIVE guidelines for reporting animal re - search. PloS Biol 2010; 8 (6): e1000413. - Kirkwood BR Essentials of  medical statistics, 2nd edn. Oxford: Blackwell Publishing, 2003. - McCulloch P , Altman DG, Campbell WB et al . No surgical innovation without evaluation: the IDEAL recommendations. Lancet 2009; 374 (9695): 1105–13. Moher D, Cooke DJ, Eastwood S et al. Improving the quality of  re - - ports of  meta-analyses of  randomised controlled trials: the QUO - RUM statement. Lancet 2009; 354: 1896–900. Moher D, Liberati A, Tetzla ﬀ J et al. , The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the - PRISMA Statement. Open Med 2009; 3 : 123–30. Pinkney TD, Calvert M, Bartlett DC et al . Impact of  wound edge protection devices on surgical site infection after laparotomy: mul - ticentre randomised controlled trial (ROSSINI Trial). BMJ 2013; BMJ 347 : f4305. -

# I SE

I SE

- 

R
essure dressing for
R
eduction
I
n
S
urgical
E
mergency laparotomy
840 patients
Inclusion criteria:
• Adults undergoing emergency
laparotomy
laparotomy
Exclusion criteria:
• Abdominal surgery within the
preceeding 3 months
• Age <16 years
• Dressing contraindication
• Laparoscopic surgery
• Laparotomy wound <5 cm
1:1 randomisation
420 Standard
dressings

I SE

- 

R
essure dressing for
R
eduction
I
n
S
urgical
E
mergency laparotomy
840 patients
Inclusion criteria:
• Adults undergoing emergency
laparotomy
laparotomy
Exclusion criteria:
• Abdominal surgery within the
preceeding 3 months
• Age <16 years
• Dressing contraindication
• Laparoscopic surgery
• Laparotomy wound <5 cm
1:1 randomisation
420 Standard
dressings

I SE

- 

R
essure dressing for
R
eduction
I
n
S
urgical
E
mergency laparotomy
840 patients
Inclusion criteria:
• Adults undergoing emergency
laparotomy
laparotomy
Exclusion criteria:
• Abdominal surgery within the
preceeding 3 months
• Age <16 years
• Dressing contraindication
• Laparoscopic surgery
• Laparotomy wound <5 cm
1:1 randomisation
420 Standard
dressings

# IDENTIFYING A RESEARCH TOPIC

IDENTIFYING A RESEARCH TOPIC

Research is designed to generate new knowledge and might involve testing a new treatment or regimen. Once an idea has been formed, or a question asked, it needs to be transformed into a hypothesis. It is helpful to approach surgeons who regularly publish articles and who have a special interest in the subject area being considered. As ideas are suggested, it is important to consider whether the question posed really matters. Spending time reﬁning the question (hypothesis) is probably the most important part of the process. Choosing the wrong topic can lead to many wasted hours. Once a topic has been identiﬁed, it is also important not rush into the study . ated The worst possible outcome is to ﬁnd at the end of  a long arduous study that the research has already been performed or that the chosen methodology did not support investigation of  the primary/secondary outcomes. The ﬁrst port of  call for information is the Internet (with assistance as needed from a medical librarian). Current arti - cles about the proposed research should be retrieved; review articles and meta-analyses can be particularly helpful. It is v ery important to learn how to do an accurate and e ﬃ cient search as early as possible. Collections of  reviews are availab le – the Cochrane Collaboration brings together evidence-based medical information and is available in most libraries. Once informa tion on the subject has been obtained and the rele - vant literature identiﬁed, it is important that these are carefully - perused. It is not su ﬃ cient to just read the abstract! Further information is given in Table 13.1 . An excellent source of  ideas where research is needed can come from reviewing high-quality national guidelines such as those produced by the UK National Institute for Health and Care Excellence (NICE) on a particular area of  interest, many of  whic h include a section beneath the headline guidance being made on ‘recommendations for research’. This section is populated after the currently available evidence for an inter - vention or treatment has been reviewed by the expert team and found lacking. Designing a research project to cover one or more of  these agreed areas can be easily justiﬁed to both funders and clinicians alike. - Finally , there is an increased number of  Priority Setting Partnerships across all aspects of  surgery , including those for - mally undertaken by the James Lind Alliance and by others - run by surgical associations and their patient–partner gr oups. These partnerships consist of  patients, carers, healthcare pro - - fessionals and organisations or charities representing people with the particular condition. They focus on identifying and prioritising research gaps or important speciﬁc questions for which additional new research is needed to answer them. Again, creating research projects in these areas is likely to be well received; sometimes such studies are also prioritised for funding support. It is also helpful to seek support from speciﬁc networks set up to support health research. In the UK, the National Insti tute for Health Resear ch (NIHR) runs the Research Design Service (RDS), which provides free and conﬁdential advice on research design, writing funding applications and obtaining public engagement in research for all researc hers. There are also a number of  training courses available in research meth odology and application. 

Database
Producer
US National Library of Medicine
PubMed
(NLM)
http://www.ncbi.nlm.nih.gov/
pubmed
PubMed Central
US National Institutes of Health (NIH)
http://www.ncbi.nlm.nih.gov/pmc
free digital archive
EMBASE
EMBASE
http://embase.com
CINAHL is owned and operated by
CINAHL
EBSCO Publishing
https://www.ebsco.com/products/
r
esearch-databases/cinahl-database
Cochrane Collaboration and Library
Global independent network of
http://uk.cochrane.org
researchers, professionals, patients,
carers and people interested
in health to produce credible,
accessible health information that is
free from commercial sponsorship
and other con
/f_l
icts of interest

IDENTIFYING A RESEARCH TOPIC

Research is designed to generate new knowledge and might involve testing a new treatment or regimen. Once an idea has been formed, or a question asked, it needs to be transformed into a hypothesis. It is helpful to approach surgeons who regularly publish articles and who have a special interest in the subject area being considered. As ideas are suggested, it is important to consider whether the question posed really matters. Spending time reﬁning the question (hypothesis) is probably the most important part of the process. Choosing the wrong topic can lead to many wasted hours. Once a topic has been identiﬁed, it is also important not rush into the study . ated The worst possible outcome is to ﬁnd at the end of  a long arduous study that the research has already been performed or that the chosen methodology did not support investigation of  the primary/secondary outcomes. The ﬁrst port of  call for information is the Internet (with assistance as needed from a medical librarian). Current arti - cles about the proposed research should be retrieved; review articles and meta-analyses can be particularly helpful. It is v ery important to learn how to do an accurate and e ﬃ cient search as early as possible. Collections of  reviews are availab le – the Cochrane Collaboration brings together evidence-based medical information and is available in most libraries. Once informa tion on the subject has been obtained and the rele - vant literature identiﬁed, it is important that these are carefully - perused. It is not su ﬃ cient to just read the abstract! Further information is given in Table 13.1 . An excellent source of  ideas where research is needed can come from reviewing high-quality national guidelines such as those produced by the UK National Institute for Health and Care Excellence (NICE) on a particular area of  interest, many of  whic h include a section beneath the headline guidance being made on ‘recommendations for research’. This section is populated after the currently available evidence for an inter - vention or treatment has been reviewed by the expert team and found lacking. Designing a research project to cover one or more of  these agreed areas can be easily justiﬁed to both funders and clinicians alike. - Finally , there is an increased number of  Priority Setting Partnerships across all aspects of  surgery , including those for - mally undertaken by the James Lind Alliance and by others - run by surgical associations and their patient–partner gr oups. These partnerships consist of  patients, carers, healthcare pro - - fessionals and organisations or charities representing people with the particular condition. They focus on identifying and prioritising research gaps or important speciﬁc questions for which additional new research is needed to answer them. Again, creating research projects in these areas is likely to be well received; sometimes such studies are also prioritised for funding support. It is also helpful to seek support from speciﬁc networks set up to support health research. In the UK, the National Insti tute for Health Resear ch (NIHR) runs the Research Design Service (RDS), which provides free and conﬁdential advice on research design, writing funding applications and obtaining public engagement in research for all researc hers. There are also a number of  training courses available in research meth odology and application. 

Database
Producer
US National Library of Medicine
PubMed
(NLM)
http://www.ncbi.nlm.nih.gov/
pubmed
PubMed Central
US National Institutes of Health (NIH)
http://www.ncbi.nlm.nih.gov/pmc
free digital archive
EMBASE
EMBASE
http://embase.com
CINAHL is owned and operated by
CINAHL
EBSCO Publishing
https://www.ebsco.com/products/
r
esearch-databases/cinahl-database
Cochrane Collaboration and Library
Global independent network of
http://uk.cochrane.org
researchers, professionals, patients,
carers and people interested
in health to produce credible,
accessible health information that is
free from commercial sponsorship
and other con
/f_l
icts of interest

IDENTIFYING A RESEARCH TOPIC

Research is designed to generate new knowledge and might involve testing a new treatment or regimen. Once an idea has been formed, or a question asked, it needs to be transformed into a hypothesis. It is helpful to approach surgeons who regularly publish articles and who have a special interest in the subject area being considered. As ideas are suggested, it is important to consider whether the question posed really matters. Spending time reﬁning the question (hypothesis) is probably the most important part of the process. Choosing the wrong topic can lead to many wasted hours. Once a topic has been identiﬁed, it is also important not rush into the study . ated The worst possible outcome is to ﬁnd at the end of  a long arduous study that the research has already been performed or that the chosen methodology did not support investigation of  the primary/secondary outcomes. The ﬁrst port of  call for information is the Internet (with assistance as needed from a medical librarian). Current arti - cles about the proposed research should be retrieved; review articles and meta-analyses can be particularly helpful. It is v ery important to learn how to do an accurate and e ﬃ cient search as early as possible. Collections of  reviews are availab le – the Cochrane Collaboration brings together evidence-based medical information and is available in most libraries. Once informa tion on the subject has been obtained and the rele - vant literature identiﬁed, it is important that these are carefully - perused. It is not su ﬃ cient to just read the abstract! Further information is given in Table 13.1 . An excellent source of  ideas where research is needed can come from reviewing high-quality national guidelines such as those produced by the UK National Institute for Health and Care Excellence (NICE) on a particular area of  interest, many of  whic h include a section beneath the headline guidance being made on ‘recommendations for research’. This section is populated after the currently available evidence for an inter - vention or treatment has been reviewed by the expert team and found lacking. Designing a research project to cover one or more of  these agreed areas can be easily justiﬁed to both funders and clinicians alike. - Finally , there is an increased number of  Priority Setting Partnerships across all aspects of  surgery , including those for - mally undertaken by the James Lind Alliance and by others - run by surgical associations and their patient–partner gr oups. These partnerships consist of  patients, carers, healthcare pro - - fessionals and organisations or charities representing people with the particular condition. They focus on identifying and prioritising research gaps or important speciﬁc questions for which additional new research is needed to answer them. Again, creating research projects in these areas is likely to be well received; sometimes such studies are also prioritised for funding support. It is also helpful to seek support from speciﬁc networks set up to support health research. In the UK, the National Insti tute for Health Resear ch (NIHR) runs the Research Design Service (RDS), which provides free and conﬁdential advice on research design, writing funding applications and obtaining public engagement in research for all researc hers. There are also a number of  training courses available in research meth odology and application. 

Database
Producer
US National Library of Medicine
PubMed
(NLM)
http://www.ncbi.nlm.nih.gov/
pubmed
PubMed Central
US National Institutes of Health (NIH)
http://www.ncbi.nlm.nih.gov/pmc
free digital archive
EMBASE
EMBASE
http://embase.com
CINAHL is owned and operated by
CINAHL
EBSCO Publishing
https://www.ebsco.com/products/
r
esearch-databases/cinahl-database
Cochrane Collaboration and Library
Global independent network of
http://uk.cochrane.org
researchers, professionals, patients,
carers and people interested
in health to produce credible,
accessible health information that is
free from commercial sponsorship
and other con
/f_l
icts of interest

# Introduction

INTRODUCTION

Surgeons are innovators and a key aspect of a surgical career is to constantly adapt, tweak and improve surgical techniques and treatments to provide the best outcomes for those under our care. In addition, few others in the hospital use more technology or devices on a day-to-day basis than surgeons. It is therefore beholden upon all surgeons to be able to critically evaluate both our individual performance and the impact of adaptations in techniques, devices and treatment pathways on the individual and collective outcomes of  our patients. Involvement in research and audit activities will form a sta ble cornerstone within a long and successful surgical career. The aim of  this chapter is to outline both how to undertake a successful audit cycle and how to design and conduct a surgical research study . Key aspects associated with enhanced chances of a successful project are discussed, including how collabora tion with others can be crucial. Large numbers of  clinical papers appear in the surgical literature every year. Many are ﬂawed, and it is important that a surgeon has the skills to examine publications critically best way to develop a critical understanding of  the research and audit undertaken by others is to perform studies of  one’s own. The hardest part of  audit and research is writing it up, and the hardest article to write is the ﬁrst. This chapter con tains the information required to write a surgical paper and to evaluate the publications of  others.

# Learning objectives

Learning objectives

To understand: The planning and conduct of surgical audit and • research How to write up a project • Learning objectives

To understand: The planning and conduct of surgical audit and • research How to write up a project • Learning objectives

To understand: The planning and conduct of surgical audit and • research How to write up a project •

# ONLINE RESOURCES

ONLINE RESOURCES

AcoRD: https://www .gov .uk/government/publications/guidance-on - - attributing-the-costs-of-health-and-social-care-research CLAHRC: https://clahrcprojects.co.uk/about Clinical Evidence: www .clinicalevidence.com Cochrane Library: www .cochrane.org/index.htm Concordat to Support Research Integrity: https://ukrio.org/revised - concordat-to-support-research-integrity-published Consolidated Standards of  Reporting Trials: http://www .consort - statement.org Data Archive: http://www .data-archive.ac.uk Eudract database: https://www .clinicaltrialsregister.eu European Code of  Conduct: https://allea.org/wp-content/ uploads/2017/05/ALLEA-European-Code-of-Conduct-for - Research-Integrity-2017.pdf GafREC: https://www .hra.nhs.uk/planning-and-improving-research/ policies-standards-legislation/governance-arrangement-research - ethics-committees Health Research Authority: http://www .hra.nhs.uk Integrated Research Application System: https://www .hra.nhs.uk/ about-us/committees-and-services/integrated-research-application - system ISRCTN: http://www .isrctn.com MHRA: https://www .gov .uk/government/organisations/medicines - and-healthcare-products-regulatory-agency National Institute for Health and Care Excellence (NICE): https:// has www .nice.org.uk NHS England audits: https://www .england.nhs.uk/clinaudit REDCap: https://projectredcap.org Scottish Intercollegiate Guideline Network (SIGN): www .sign.ac.uk Singapore Statement on Research Integrity: https://wcrif.org/ guidance/singapore-statement Vascular Society: http://www .vascularsociety .org.uk ONLINE RESOURCES

AcoRD: https://www .gov .uk/government/publications/guidance-on - - attributing-the-costs-of-health-and-social-care-research CLAHRC: https://clahrcprojects.co.uk/about Clinical Evidence: www .clinicalevidence.com Cochrane Library: www .cochrane.org/index.htm Concordat to Support Research Integrity: https://ukrio.org/revised - concordat-to-support-research-integrity-published Consolidated Standards of  Reporting Trials: http://www .consort - statement.org Data Archive: http://www .data-archive.ac.uk Eudract database: https://www .clinicaltrialsregister.eu European Code of  Conduct: https://allea.org/wp-content/ uploads/2017/05/ALLEA-European-Code-of-Conduct-for - Research-Integrity-2017.pdf GafREC: https://www .hra.nhs.uk/planning-and-improving-research/ policies-standards-legislation/governance-arrangement-research - ethics-committees Health Research Authority: http://www .hra.nhs.uk Integrated Research Application System: https://www .hra.nhs.uk/ about-us/committees-and-services/integrated-research-application - system ISRCTN: http://www .isrctn.com MHRA: https://www .gov .uk/government/organisations/medicines - and-healthcare-products-regulatory-agency National Institute for Health and Care Excellence (NICE): https:// has www .nice.org.uk NHS England audits: https://www .england.nhs.uk/clinaudit REDCap: https://projectredcap.org Scottish Intercollegiate Guideline Network (SIGN): www .sign.ac.uk Singapore Statement on Research Integrity: https://wcrif.org/ guidance/singapore-statement Vascular Society: http://www .vascularsociety .org.uk ONLINE RESOURCES

AcoRD: https://www .gov .uk/government/publications/guidance-on - - attributing-the-costs-of-health-and-social-care-research CLAHRC: https://clahrcprojects.co.uk/about Clinical Evidence: www .clinicalevidence.com Cochrane Library: www .cochrane.org/index.htm Concordat to Support Research Integrity: https://ukrio.org/revised - concordat-to-support-research-integrity-published Consolidated Standards of  Reporting Trials: http://www .consort - statement.org Data Archive: http://www .data-archive.ac.uk Eudract database: https://www .clinicaltrialsregister.eu European Code of  Conduct: https://allea.org/wp-content/ uploads/2017/05/ALLEA-European-Code-of-Conduct-for - Research-Integrity-2017.pdf GafREC: https://www .hra.nhs.uk/planning-and-improving-research/ policies-standards-legislation/governance-arrangement-research - ethics-committees Health Research Authority: http://www .hra.nhs.uk Integrated Research Application System: https://www .hra.nhs.uk/ about-us/committees-and-services/integrated-research-application - system ISRCTN: http://www .isrctn.com MHRA: https://www .gov .uk/government/organisations/medicines - and-healthcare-products-regulatory-agency National Institute for Health and Care Excellence (NICE): https:// has www .nice.org.uk NHS England audits: https://www .england.nhs.uk/clinaudit REDCap: https://projectredcap.org Scottish Intercollegiate Guideline Network (SIGN): www .sign.ac.uk Singapore Statement on Research Integrity: https://wcrif.org/ guidance/singapore-statement Vascular Society: http://www .vascularsociety .org.uk

# PRESENTING AND PUBLISHING AN ARTICLE

PRESENTING AND PUBLISHING AN ARTICLE

There is no point in conducting a research or audit project and then leaving the results unreported. Even when results are negative, they are worth distributing; no project if  properly conducted is worthless. Under-reporting of  negative outcomes causes a systematic bias in the literature in favour of  positive trials. Most studies do not provide dramatic results, and few surgeons publish seminal articles. The key to both presentation and publication is to decide on the message and then aim for an appropriate forum. Big important randomised studies or national audits merit presen tation at national or international meetings and publication in international journals . Small observational studies and audits Alejandro R Jadad Bechara , b.1963, Canadian–Colombian physician, University of  Toronto, ON, Canada. - - are more often accepted for presentation at regional meetings and for publication in smaller specialist journals. Help and - advice from clinicians familiar with presentation and publica - tion are invaluable at this stage. The most important piece of advice is to follow accurately the instructions for journal sub - mission. Most international meetings will accept presentations eagerly (especially by poster) as this increases the attendance at a conference . Most surgeons publish research in peer-reviewed journals . The work that is submitted is checked anonymously by other surgeons before publication. If in doubt about whether to sub - mit to a journal, many editors will give advice about the suit - ability of  an article for submission to their journal. It is usually free to publish in surgical journals since the cost of  refereeing and editing is borne by the journal subscriber. A second model of publication is becoming mor e prevalent: open access, in which the author pays. This ensures that all research is visible to anyone, by pushing the costs of  the editorial process onto the - study budget. It may well become standard in future. Convention dictates that articles are submitted in IMRAD form: introduction, methods, results and discussion. Increas - 

(CONSORT) checklist for authors.
Heading Subheading Descriptor
Title
Identify as randomised trial
Abstract
Structured format
Introduction
Prospectively de
/f_i
ned
hypotheses, clinical objective
Protocol
Methods
Study population
Intervention, timing
Primary and secondary
outcome
Statistical rationale
Stopping rules
Assignment Unit of randomisation
Method: allocation schedule
Masking (blinding)
Results Participant
/f_l
ow
Trial pro
/f_i
le,
/f_l
ow diagram
and follow-up
Analysis
Estimated effect of
intervention
Summary data with
appropriate inferential
statistics
Protocol deviation
Comment
Speci
/f_i
c interpretation of
study
Sources of bias
External validity
General interpretation
From the CONSORT statement:
Journal of the American Medical
Association
1996; 276: 637–9.

face of  scientiﬁc publication and, in the next decade, these restrictions on style may disappear. For now , the IMRAD for mat remains inviolable. The length of  an article is important: a paper should be as long as the size of  the message. Readers of  large randomised multicentre trials need to kno w as much detail about the study as possible; reports on small and simple trials should be brief. /uni25CF Introduction . This should always be short. A brief background of  the study should be presented and then the aims of  the trial or audit outlined. /uni25CF Methods . The methodology and study design should be given in detail. It is important to identify potential biases. New techniques or investigations should be detailed in full; if  they are common practice or have been described else where, this should be referenced instead of  described. /uni25CF Results . Results are almost always best shown diagram matically using tables and ﬁgures. Results shown in the form of  a diagram need not then be duplicated in the text. /uni25CF Discussion . It is important not to repeat the introduc tion or reiterate the results in this section. The study should be interpreted intelligently and any suggestions for future studies or changes in management should be made. It is prudent not to indulge in ﬂights of  fantasy or wild imagi nation about future possibilities; most journal editors will delete these. Recently , a standard format for the discussion section has been promoted, and journals such as the are keen that authors use it. /uni25CF References . This section should include all relevant papers recording previous studies on the subject in ques tion. The reference section does not usually have to be exhaustive, but should include up-to-date articles. Remem ber to present the references in the style of  the journal of submission. PRESENTING AND PUBLISHING AN ARTICLE

There is no point in conducting a research or audit project and then leaving the results unreported. Even when results are negative, they are worth distributing; no project if  properly conducted is worthless. Under-reporting of  negative outcomes causes a systematic bias in the literature in favour of  positive trials. Most studies do not provide dramatic results, and few surgeons publish seminal articles. The key to both presentation and publication is to decide on the message and then aim for an appropriate forum. Big important randomised studies or national audits merit presen tation at national or international meetings and publication in international journals . Small observational studies and audits Alejandro R Jadad Bechara , b.1963, Canadian–Colombian physician, University of  Toronto, ON, Canada. - - are more often accepted for presentation at regional meetings and for publication in smaller specialist journals. Help and - advice from clinicians familiar with presentation and publica - tion are invaluable at this stage. The most important piece of advice is to follow accurately the instructions for journal sub - mission. Most international meetings will accept presentations eagerly (especially by poster) as this increases the attendance at a conference . Most surgeons publish research in peer-reviewed journals . The work that is submitted is checked anonymously by other surgeons before publication. If in doubt about whether to sub - mit to a journal, many editors will give advice about the suit - ability of  an article for submission to their journal. It is usually free to publish in surgical journals since the cost of  refereeing and editing is borne by the journal subscriber. A second model of publication is becoming mor e prevalent: open access, in which the author pays. This ensures that all research is visible to anyone, by pushing the costs of  the editorial process onto the - study budget. It may well become standard in future. Convention dictates that articles are submitted in IMRAD form: introduction, methods, results and discussion. Increas - 

(CONSORT) checklist for authors.
Heading Subheading Descriptor
Title
Identify as randomised trial
Abstract
Structured format
Introduction
Prospectively de
/f_i
ned
hypotheses, clinical objective
Protocol
Methods
Study population
Intervention, timing
Primary and secondary
outcome
Statistical rationale
Stopping rules
Assignment Unit of randomisation
Method: allocation schedule
Masking (blinding)
Results Participant
/f_l
ow
Trial pro
/f_i
le,
/f_l
ow diagram
and follow-up
Analysis
Estimated effect of
intervention
Summary data with
appropriate inferential
statistics
Protocol deviation
Comment
Speci
/f_i
c interpretation of
study
Sources of bias
External validity
General interpretation
From the CONSORT statement:
Journal of the American Medical
Association
1996; 276: 637–9.

face of  scientiﬁc publication and, in the next decade, these restrictions on style may disappear. For now , the IMRAD for mat remains inviolable. The length of  an article is important: a paper should be as long as the size of  the message. Readers of  large randomised multicentre trials need to kno w as much detail about the study as possible; reports on small and simple trials should be brief. /uni25CF Introduction . This should always be short. A brief background of  the study should be presented and then the aims of  the trial or audit outlined. /uni25CF Methods . The methodology and study design should be given in detail. It is important to identify potential biases. New techniques or investigations should be detailed in full; if  they are common practice or have been described else where, this should be referenced instead of  described. /uni25CF Results . Results are almost always best shown diagram matically using tables and ﬁgures. Results shown in the form of  a diagram need not then be duplicated in the text. /uni25CF Discussion . It is important not to repeat the introduc tion or reiterate the results in this section. The study should be interpreted intelligently and any suggestions for future studies or changes in management should be made. It is prudent not to indulge in ﬂights of  fantasy or wild imagi nation about future possibilities; most journal editors will delete these. Recently , a standard format for the discussion section has been promoted, and journals such as the are keen that authors use it. /uni25CF References . This section should include all relevant papers recording previous studies on the subject in ques tion. The reference section does not usually have to be exhaustive, but should include up-to-date articles. Remem ber to present the references in the style of  the journal of submission. PRESENTING AND PUBLISHING AN ARTICLE

There is no point in conducting a research or audit project and then leaving the results unreported. Even when results are negative, they are worth distributing; no project if  properly conducted is worthless. Under-reporting of  negative outcomes causes a systematic bias in the literature in favour of  positive trials. Most studies do not provide dramatic results, and few surgeons publish seminal articles. The key to both presentation and publication is to decide on the message and then aim for an appropriate forum. Big important randomised studies or national audits merit presen tation at national or international meetings and publication in international journals . Small observational studies and audits Alejandro R Jadad Bechara , b.1963, Canadian–Colombian physician, University of  Toronto, ON, Canada. - - are more often accepted for presentation at regional meetings and for publication in smaller specialist journals. Help and - advice from clinicians familiar with presentation and publica - tion are invaluable at this stage. The most important piece of advice is to follow accurately the instructions for journal sub - mission. Most international meetings will accept presentations eagerly (especially by poster) as this increases the attendance at a conference . Most surgeons publish research in peer-reviewed journals . The work that is submitted is checked anonymously by other surgeons before publication. If in doubt about whether to sub - mit to a journal, many editors will give advice about the suit - ability of  an article for submission to their journal. It is usually free to publish in surgical journals since the cost of  refereeing and editing is borne by the journal subscriber. A second model of publication is becoming mor e prevalent: open access, in which the author pays. This ensures that all research is visible to anyone, by pushing the costs of  the editorial process onto the - study budget. It may well become standard in future. Convention dictates that articles are submitted in IMRAD form: introduction, methods, results and discussion. Increas - 

(CONSORT) checklist for authors.
Heading Subheading Descriptor
Title
Identify as randomised trial
Abstract
Structured format
Introduction
Prospectively de
/f_i
ned
hypotheses, clinical objective
Protocol
Methods
Study population
Intervention, timing
Primary and secondary
outcome
Statistical rationale
Stopping rules
Assignment Unit of randomisation
Method: allocation schedule
Masking (blinding)
Results Participant
/f_l
ow
Trial pro
/f_i
le,
/f_l
ow diagram
and follow-up
Analysis
Estimated effect of
intervention
Summary data with
appropriate inferential
statistics
Protocol deviation
Comment
Speci
/f_i
c interpretation of
study
Sources of bias
External validity
General interpretation
From the CONSORT statement:
Journal of the American Medical
Association
1996; 276: 637–9.

face of  scientiﬁc publication and, in the next decade, these restrictions on style may disappear. For now , the IMRAD for mat remains inviolable. The length of  an article is important: a paper should be as long as the size of  the message. Readers of  large randomised multicentre trials need to kno w as much detail about the study as possible; reports on small and simple trials should be brief. /uni25CF Introduction . This should always be short. A brief background of  the study should be presented and then the aims of  the trial or audit outlined. /uni25CF Methods . The methodology and study design should be given in detail. It is important to identify potential biases. New techniques or investigations should be detailed in full; if  they are common practice or have been described else where, this should be referenced instead of  described. /uni25CF Results . Results are almost always best shown diagram matically using tables and ﬁgures. Results shown in the form of  a diagram need not then be duplicated in the text. /uni25CF Discussion . It is important not to repeat the introduc tion or reiterate the results in this section. The study should be interpreted intelligently and any suggestions for future studies or changes in management should be made. It is prudent not to indulge in ﬂights of  fantasy or wild imagi nation about future possibilities; most journal editors will delete these. Recently , a standard format for the discussion section has been promoted, and journals such as the are keen that authors use it. /uni25CF References . This section should include all relevant papers recording previous studies on the subject in ques tion. The reference section does not usually have to be exhaustive, but should include up-to-date articles. Remem ber to present the references in the style of  the journal of submission.

# PROJECT DESIGN

PROJECT DESIGN

During the ﬁrst phase, it is important to keep in the mind some important questions ( Summary box 13.1 ). Summary box 13.1 Questions to answer before undertaking research /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF There are many di ﬀ erent types of  scientiﬁc study . The design used depends on the study . Time spent carefully design ing a potential project is never wasted. An RCT is regarded as one of  the best methods of  scientiﬁc research; however, much surgical practice has been advanced through other di ﬀ erent types of  study suc h as those listed in Table 13.2 . For example, testing a new type of  operation often requires a pilot study to assess feasibility , which is then followed by a formal RCT . The introduction of  innovative surgical techniques may require novel handling, and recommendations have been made by the IDEAL collaborators (see Further reading ). Research can be qualitative or quantitative. Quantitative research allows hard facts to speak for themselves. A medical condition is analysed systematically using hard, objective end Pierre-Alain Clavien , contemporary , Professor of  Surgery , Zurich, Switzerland. Daniel Dindo , contemporary , surgeon, Zurich, Switzerland. - - - points such as death or major complications, which should be clearly deﬁned. For example, surgical complications are now classiﬁed using the Clavien–Dindo system. In qualitative research, data often come from patient narratives, and the psychosocial impact of  the disease and its treatment are anal - ysed; for example, narratives from patients with breast cancer. These kinds of  data are often collected using quality-of-life measurements. A variety of  di ﬀ erent quality-of-life question - naires exist to suit several di ﬀ erent clinical situa tions. Much of the best research is both quantitative and qualitative. Recently , the importance of  outcomes from the patient’s perspective has been emphasised: patient-re ported outcome measures (PROMs) are now an important component of the evaluation of  surgical procedures. Research should be focused according to institutional, national and international strategies. As ﬁnances for health care are always limited, it is important to consider including a cost–beneﬁt analysis in any major area of  research so that the value of the proposed intervention or change in treatment - can be assessed. The NIHR provides the framework through which the Department of  Health maintains and manages the research, research sta ﬀ and research infrastructure of  the National Health Service (NHS) in England. 

Why do the study?
Will it answer a useful question?
Is it practical?
Can it be accomplished in the available time and with the
available resources?
Will the project bene
/f_i
t from collaboration to increase numbers
or make best use of high-technology equipment?
What
/f_i
ndings are expected?
What are the research governance requirements?
What are the ethical issues?
What impact could it have?
Type of study
De
/f_i
nition
Observational
Evaluation of condition or treatment in a
de
/f_i
ned population
Retrospective: analysis of past events
Prospective: contemporaneous collection of
data
Case–control
Series of patients with a particular disease
or condition compared with matched control
patients
Cross-sectional
Measurements made on a single occasion, not
looking at the whole population but selecting a
small similar group and expanding results
Longitudinal
Measurements taken over a period of time, not
looking at the whole population but selecting a
small similar group and expanding results
Experimental
Two or more treatments are compared.
Allocation to treatment groups is under the
control of the researcher
Randomised
Two or more randomly allocated treatments
Randomised
Includes a control group with standard
controlled
treatment

PROJECT DESIGN

During the ﬁrst phase, it is important to keep in the mind some important questions ( Summary box 13.1 ). Summary box 13.1 Questions to answer before undertaking research /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF There are many di ﬀ erent types of  scientiﬁc study . The design used depends on the study . Time spent carefully design ing a potential project is never wasted. An RCT is regarded as one of  the best methods of  scientiﬁc research; however, much surgical practice has been advanced through other di ﬀ erent types of  study suc h as those listed in Table 13.2 . For example, testing a new type of  operation often requires a pilot study to assess feasibility , which is then followed by a formal RCT . The introduction of  innovative surgical techniques may require novel handling, and recommendations have been made by the IDEAL collaborators (see Further reading ). Research can be qualitative or quantitative. Quantitative research allows hard facts to speak for themselves. A medical condition is analysed systematically using hard, objective end Pierre-Alain Clavien , contemporary , Professor of  Surgery , Zurich, Switzerland. Daniel Dindo , contemporary , surgeon, Zurich, Switzerland. - - - points such as death or major complications, which should be clearly deﬁned. For example, surgical complications are now classiﬁed using the Clavien–Dindo system. In qualitative research, data often come from patient narratives, and the psychosocial impact of  the disease and its treatment are anal - ysed; for example, narratives from patients with breast cancer. These kinds of  data are often collected using quality-of-life measurements. A variety of  di ﬀ erent quality-of-life question - naires exist to suit several di ﬀ erent clinical situa tions. Much of the best research is both quantitative and qualitative. Recently , the importance of  outcomes from the patient’s perspective has been emphasised: patient-re ported outcome measures (PROMs) are now an important component of the evaluation of  surgical procedures. Research should be focused according to institutional, national and international strategies. As ﬁnances for health care are always limited, it is important to consider including a cost–beneﬁt analysis in any major area of  research so that the value of the proposed intervention or change in treatment - can be assessed. The NIHR provides the framework through which the Department of  Health maintains and manages the research, research sta ﬀ and research infrastructure of  the National Health Service (NHS) in England. 

Why do the study?
Will it answer a useful question?
Is it practical?
Can it be accomplished in the available time and with the
available resources?
Will the project bene
/f_i
t from collaboration to increase numbers
or make best use of high-technology equipment?
What
/f_i
ndings are expected?
What are the research governance requirements?
What are the ethical issues?
What impact could it have?
Type of study
De
/f_i
nition
Observational
Evaluation of condition or treatment in a
de
/f_i
ned population
Retrospective: analysis of past events
Prospective: contemporaneous collection of
data
Case–control
Series of patients with a particular disease
or condition compared with matched control
patients
Cross-sectional
Measurements made on a single occasion, not
looking at the whole population but selecting a
small similar group and expanding results
Longitudinal
Measurements taken over a period of time, not
looking at the whole population but selecting a
small similar group and expanding results
Experimental
Two or more treatments are compared.
Allocation to treatment groups is under the
control of the researcher
Randomised
Two or more randomly allocated treatments
Randomised
Includes a control group with standard
controlled
treatment

PROJECT DESIGN

During the ﬁrst phase, it is important to keep in the mind some important questions ( Summary box 13.1 ). Summary box 13.1 Questions to answer before undertaking research /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF /uni25CF There are many di ﬀ erent types of  scientiﬁc study . The design used depends on the study . Time spent carefully design ing a potential project is never wasted. An RCT is regarded as one of  the best methods of  scientiﬁc research; however, much surgical practice has been advanced through other di ﬀ erent types of  study suc h as those listed in Table 13.2 . For example, testing a new type of  operation often requires a pilot study to assess feasibility , which is then followed by a formal RCT . The introduction of  innovative surgical techniques may require novel handling, and recommendations have been made by the IDEAL collaborators (see Further reading ). Research can be qualitative or quantitative. Quantitative research allows hard facts to speak for themselves. A medical condition is analysed systematically using hard, objective end Pierre-Alain Clavien , contemporary , Professor of  Surgery , Zurich, Switzerland. Daniel Dindo , contemporary , surgeon, Zurich, Switzerland. - - - points such as death or major complications, which should be clearly deﬁned. For example, surgical complications are now classiﬁed using the Clavien–Dindo system. In qualitative research, data often come from patient narratives, and the psychosocial impact of  the disease and its treatment are anal - ysed; for example, narratives from patients with breast cancer. These kinds of  data are often collected using quality-of-life measurements. A variety of  di ﬀ erent quality-of-life question - naires exist to suit several di ﬀ erent clinical situa tions. Much of the best research is both quantitative and qualitative. Recently , the importance of  outcomes from the patient’s perspective has been emphasised: patient-re ported outcome measures (PROMs) are now an important component of the evaluation of  surgical procedures. Research should be focused according to institutional, national and international strategies. As ﬁnances for health care are always limited, it is important to consider including a cost–beneﬁt analysis in any major area of  research so that the value of the proposed intervention or change in treatment - can be assessed. The NIHR provides the framework through which the Department of  Health maintains and manages the research, research sta ﬀ and research infrastructure of  the National Health Service (NHS) in England. 

Why do the study?
Will it answer a useful question?
Is it practical?
Can it be accomplished in the available time and with the
available resources?
Will the project bene
/f_i
t from collaboration to increase numbers
or make best use of high-technology equipment?
What
/f_i
ndings are expected?
What are the research governance requirements?
What are the ethical issues?
What impact could it have?
Type of study
De
/f_i
nition
Observational
Evaluation of condition or treatment in a
de
/f_i
ned population
Retrospective: analysis of past events
Prospective: contemporaneous collection of
data
Case–control
Series of patients with a particular disease
or condition compared with matched control
patients
Cross-sectional
Measurements made on a single occasion, not
looking at the whole population but selecting a
small similar group and expanding results
Longitudinal
Measurements taken over a period of time, not
looking at the whole population but selecting a
small similar group and expanding results
Experimental
Two or more treatments are compared.
Allocation to treatment groups is under the
control of the researcher
Randomised
Two or more randomly allocated treatments
Randomised
Includes a control group with standard
controlled
treatment

# Peer review

Peer review

Once the protocol is ﬁnalised, formal peer review is needed. In the UK, evidence of  peer review will be needed before submitting an application to a research ethics committee and for HRA approval. Many funders of  research will undertake their own independent peer review . There is usually feedback from this process that can provide valuable advice about the study . Peer review

Once the protocol is ﬁnalised, formal peer review is needed. In the UK, evidence of  peer review will be needed before submitting an application to a research ethics committee and for HRA approval. Many funders of  research will undertake their own independent peer review . There is usually feedback from this process that can provide valuable advice about the study . Peer review

Once the protocol is ﬁnalised, formal peer review is needed. In the UK, evidence of  peer review will be needed before submitting an application to a research ethics committee and for HRA approval. Many funders of  research will undertake their own independent peer review . There is usually feedback from this process that can provide valuable advice about the study .

# Regulatory approvals

Regulatory approvals

Interventional clinical or device trials are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. Researchers are encouraged to use an existing and established international register such as ISRCTN or ClinicalTrials.gov to ensure that the public is aware of  a trial before recruitment of the ﬁrst participant. Trials involving sites speciﬁcally in EU countries must be registered in the EU Clin ical Trials Register. Trials should be registered before applying to the MHRA for a clinical trial authorisation via the MHRA submissions portal and researc hers must ensure that the registry is kept up to date and trial results are uploaded in the appropriate timeframe. This can be a complicated and trying process, and support should be sought from the investigators’ employing institution. Editors of  the major surgical journals now agree that all clinical trials should have been registered before an article relating to a trial can be published. All studies undertaken with NHS patients and/or carers will need HRA Approval  and conﬁrmation of  capacity and capability from NHS sites. Studies involving animals require approval fr om statutory licensing authorities. In the UK this is the Home O ﬃ ce. Animal research should be based on ARRIVE guidelines (Animal Research: Reporting of  In Vivo Experiments). Regulatory approvals

Interventional clinical or device trials are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. Researchers are encouraged to use an existing and established international register such as ISRCTN or ClinicalTrials.gov to ensure that the public is aware of  a trial before recruitment of the ﬁrst participant. Trials involving sites speciﬁcally in EU countries must be registered in the EU Clin ical Trials Register. Trials should be registered before applying to the MHRA for a clinical trial authorisation via the MHRA submissions portal and researc hers must ensure that the registry is kept up to date and trial results are uploaded in the appropriate timeframe. This can be a complicated and trying process, and support should be sought from the investigators’ employing institution. Editors of  the major surgical journals now agree that all clinical trials should have been registered before an article relating to a trial can be published. All studies undertaken with NHS patients and/or carers will need HRA Approval  and conﬁrmation of  capacity and capability from NHS sites. Studies involving animals require approval fr om statutory licensing authorities. In the UK this is the Home O ﬃ ce. Animal research should be based on ARRIVE guidelines (Animal Research: Reporting of  In Vivo Experiments). Regulatory approvals

Interventional clinical or device trials are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. Researchers are encouraged to use an existing and established international register such as ISRCTN or ClinicalTrials.gov to ensure that the public is aware of  a trial before recruitment of the ﬁrst participant. Trials involving sites speciﬁcally in EU countries must be registered in the EU Clin ical Trials Register. Trials should be registered before applying to the MHRA for a clinical trial authorisation via the MHRA submissions portal and researc hers must ensure that the registry is kept up to date and trial results are uploaded in the appropriate timeframe. This can be a complicated and trying process, and support should be sought from the investigators’ employing institution. Editors of  the major surgical journals now agree that all clinical trials should have been registered before an article relating to a trial can be published. All studies undertaken with NHS patients and/or carers will need HRA Approval  and conﬁrmation of  capacity and capability from NHS sites. Studies involving animals require approval fr om statutory licensing authorities. In the UK this is the Home O ﬃ ce. Animal research should be based on ARRIVE guidelines (Animal Research: Reporting of  In Vivo Experiments).

# Regulatory framework

Regulatory framework

In the UK, the implementation of  the UK Policy Framework for Health and Social Care Research provides a framework Regulatory framework

In the UK, the implementation of  the UK Policy Framework for Health and Social Care Research provides a framework Regulatory framework

In the UK, the implementation of  the UK Policy Framework for Health and Social Care Research provides a framework

# Research integrity

Research integrity

In 2013, Universities UK, in collaboration with major funders of  research, developed The Concordat to Support Research Integrity , which sets out key commitments to ensure a high standard in research. It highlights the principles and profes sional responsibilities of  researchers and research institutions that are fundamental to the integrity of  research wherever it is undertaken. These centre on: /uni25CF honesty in all aspects of  research; /uni25CF accountability and transparency in the conduct of  re search; /uni25CF professional courtesy and fairness in working with others; /uni25CF good stewardship of  research. A study should not under any circumstances commence until appropriate approvals have been granted and compli ance with the principles of research integrity is ensured. A helpful international summary of  country-speciﬁc approval requirements is available from NIH (https://clinregs nih.gov). Henry Berthold Mann , 1905–2000, and his student Donald Ransom Whitney ‘On a test of  whether one of  two random variables is stochastically larger than the other’ in 1947. Frank Wilcoxon , 1892–1965, born County Cork, Ireland, American chemist and statistician. Both audit and research commonly require statistical analysis. Many surgeons ﬁnd the statistical analysis of  a project the most di ﬃ cult part. It is also the most commonly criticised part of  papers written by clinicians. There are many useful books about statistics (see Further reading ); if  in any doubt, a statis - tician will be pleased to give assistance. Statisticians should be consulted before research or audit has been conducted rather than being presented with the data at the end; they often give helpful advice over stud y design and can be an important part of  the project team. The following terms are frequently used when summaris - ing statistical data: /uni25CF Mean : the result of  dividing the total by the number of observations (the average). - /uni25CF Median : the middle value with equal numbers of  obser - vations above and below – used for numerical or ranked data. /uni25CF Mode : the value with the highest frequency observed – used for nominal data collection. /uni25CF Range : the largest to the smallest value. The most important decision for analysis is whether the distribution of  the data is normal (i.e. parametric or non-para - metric). Normally , distributed data have a symmetrical bell- shaped curve, and the mean, median and mode all lie at the same value . The type of  data collected determines which sta - tistical test should be used. 1 Numerical and normally distributed (e.g. blood pressure) – use an unpaired t -test to compare two groups or a paired t -test to assess whether a variable has changed between two time points. 2 Numerical but not normally distributed (e.g. tumour size) – use a Mann–Whitney U -test to compare two groups or a Wilcoxon signed rank test to assess whether a variable has increased/stayed the same/decreased between two time points. 3 Categorical (e.g. admitted or not admitted to an intensive - care unit) – a chi-squared test can be used to compare two groups. ( Note : the use of  these and any other statistical tests may beneﬁt from professional advice.) Conﬁdence intervals are the best guide to the possible - range in which the true di ﬀ erences are likely to lie. A conﬁ - dence interval that includes zero usually implies a lack of  sta - tistical signiﬁcance. Scientists usually employ probability ( P -values) to describe statistical chance. A P -value <0.05 is commonly taken to imply a true di ﬀ erence. It is important not to forget that P /uni00A0 = /uni00A0 0.05 - simply means that there is only a 1:20 chance that the di ﬀ er - ences between the variables would have happened by chance when in fact there is no real di ﬀ erence. If  enough variables are .niaid. examined in any study , signiﬁcant di ﬀ erences will occur simply , 1915–2007, Ohio State University , OH, USA, published their seminal paper more sophisticated analysis to determine the signiﬁcance of individual risk factors. Univariable or multivariable logistic regression analysis techniques may be appropriate. Statistics simply deal with the chance that observations between populations are di ﬀ erent and should be treated with caution. Clinical results should show clear di ﬀ erences. If  sta tistics are required to demonstrate di ﬀ erences betw een results, it is likely that they are unlikely to have major clinical signiﬁ cance. Research integrity

In 2013, Universities UK, in collaboration with major funders of  research, developed The Concordat to Support Research Integrity , which sets out key commitments to ensure a high standard in research. It highlights the principles and profes sional responsibilities of  researchers and research institutions that are fundamental to the integrity of  research wherever it is undertaken. These centre on: /uni25CF honesty in all aspects of  research; /uni25CF accountability and transparency in the conduct of  re search; /uni25CF professional courtesy and fairness in working with others; /uni25CF good stewardship of  research. A study should not under any circumstances commence until appropriate approvals have been granted and compli ance with the principles of research integrity is ensured. A helpful international summary of  country-speciﬁc approval requirements is available from NIH (https://clinregs nih.gov). Henry Berthold Mann , 1905–2000, and his student Donald Ransom Whitney ‘On a test of  whether one of  two random variables is stochastically larger than the other’ in 1947. Frank Wilcoxon , 1892–1965, born County Cork, Ireland, American chemist and statistician. Both audit and research commonly require statistical analysis. Many surgeons ﬁnd the statistical analysis of  a project the most di ﬃ cult part. It is also the most commonly criticised part of  papers written by clinicians. There are many useful books about statistics (see Further reading ); if  in any doubt, a statis - tician will be pleased to give assistance. Statisticians should be consulted before research or audit has been conducted rather than being presented with the data at the end; they often give helpful advice over stud y design and can be an important part of  the project team. The following terms are frequently used when summaris - ing statistical data: /uni25CF Mean : the result of  dividing the total by the number of observations (the average). - /uni25CF Median : the middle value with equal numbers of  obser - vations above and below – used for numerical or ranked data. /uni25CF Mode : the value with the highest frequency observed – used for nominal data collection. /uni25CF Range : the largest to the smallest value. The most important decision for analysis is whether the distribution of  the data is normal (i.e. parametric or non-para - metric). Normally , distributed data have a symmetrical bell- shaped curve, and the mean, median and mode all lie at the same value . The type of  data collected determines which sta - tistical test should be used. 1 Numerical and normally distributed (e.g. blood pressure) – use an unpaired t -test to compare two groups or a paired t -test to assess whether a variable has changed between two time points. 2 Numerical but not normally distributed (e.g. tumour size) – use a Mann–Whitney U -test to compare two groups or a Wilcoxon signed rank test to assess whether a variable has increased/stayed the same/decreased between two time points. 3 Categorical (e.g. admitted or not admitted to an intensive - care unit) – a chi-squared test can be used to compare two groups. ( Note : the use of  these and any other statistical tests may beneﬁt from professional advice.) Conﬁdence intervals are the best guide to the possible - range in which the true di ﬀ erences are likely to lie. A conﬁ - dence interval that includes zero usually implies a lack of  sta - tistical signiﬁcance. Scientists usually employ probability ( P -values) to describe statistical chance. A P -value <0.05 is commonly taken to imply a true di ﬀ erence. It is important not to forget that P /uni00A0 = /uni00A0 0.05 - simply means that there is only a 1:20 chance that the di ﬀ er - ences between the variables would have happened by chance when in fact there is no real di ﬀ erence. If  enough variables are .niaid. examined in any study , signiﬁcant di ﬀ erences will occur simply , 1915–2007, Ohio State University , OH, USA, published their seminal paper more sophisticated analysis to determine the signiﬁcance of individual risk factors. Univariable or multivariable logistic regression analysis techniques may be appropriate. Statistics simply deal with the chance that observations between populations are di ﬀ erent and should be treated with caution. Clinical results should show clear di ﬀ erences. If  sta tistics are required to demonstrate di ﬀ erences betw een results, it is likely that they are unlikely to have major clinical signiﬁ cance. Research integrity

In 2013, Universities UK, in collaboration with major funders of  research, developed The Concordat to Support Research Integrity , which sets out key commitments to ensure a high standard in research. It highlights the principles and profes sional responsibilities of  researchers and research institutions that are fundamental to the integrity of  research wherever it is undertaken. These centre on: /uni25CF honesty in all aspects of  research; /uni25CF accountability and transparency in the conduct of  re search; /uni25CF professional courtesy and fairness in working with others; /uni25CF good stewardship of  research. A study should not under any circumstances commence until appropriate approvals have been granted and compli ance with the principles of research integrity is ensured. A helpful international summary of  country-speciﬁc approval requirements is available from NIH (https://clinregs nih.gov). Henry Berthold Mann , 1905–2000, and his student Donald Ransom Whitney ‘On a test of  whether one of  two random variables is stochastically larger than the other’ in 1947. Frank Wilcoxon , 1892–1965, born County Cork, Ireland, American chemist and statistician. Both audit and research commonly require statistical analysis. Many surgeons ﬁnd the statistical analysis of  a project the most di ﬃ cult part. It is also the most commonly criticised part of  papers written by clinicians. There are many useful books about statistics (see Further reading ); if  in any doubt, a statis - tician will be pleased to give assistance. Statisticians should be consulted before research or audit has been conducted rather than being presented with the data at the end; they often give helpful advice over stud y design and can be an important part of  the project team. The following terms are frequently used when summaris - ing statistical data: /uni25CF Mean : the result of  dividing the total by the number of observations (the average). - /uni25CF Median : the middle value with equal numbers of  obser - vations above and below – used for numerical or ranked data. /uni25CF Mode : the value with the highest frequency observed – used for nominal data collection. /uni25CF Range : the largest to the smallest value. The most important decision for analysis is whether the distribution of  the data is normal (i.e. parametric or non-para - metric). Normally , distributed data have a symmetrical bell- shaped curve, and the mean, median and mode all lie at the same value . The type of  data collected determines which sta - tistical test should be used. 1 Numerical and normally distributed (e.g. blood pressure) – use an unpaired t -test to compare two groups or a paired t -test to assess whether a variable has changed between two time points. 2 Numerical but not normally distributed (e.g. tumour size) – use a Mann–Whitney U -test to compare two groups or a Wilcoxon signed rank test to assess whether a variable has increased/stayed the same/decreased between two time points. 3 Categorical (e.g. admitted or not admitted to an intensive - care unit) – a chi-squared test can be used to compare two groups. ( Note : the use of  these and any other statistical tests may beneﬁt from professional advice.) Conﬁdence intervals are the best guide to the possible - range in which the true di ﬀ erences are likely to lie. A conﬁ - dence interval that includes zero usually implies a lack of  sta - tistical signiﬁcance. Scientists usually employ probability ( P -values) to describe statistical chance. A P -value <0.05 is commonly taken to imply a true di ﬀ erence. It is important not to forget that P /uni00A0 = /uni00A0 0.05 - simply means that there is only a 1:20 chance that the di ﬀ er - ences between the variables would have happened by chance when in fact there is no real di ﬀ erence. If  enough variables are .niaid. examined in any study , signiﬁcant di ﬀ erences will occur simply , 1915–2007, Ohio State University , OH, USA, published their seminal paper more sophisticated analysis to determine the signiﬁcance of individual risk factors. Univariable or multivariable logistic regression analysis techniques may be appropriate. Statistics simply deal with the chance that observations between populations are di ﬀ erent and should be treated with caution. Clinical results should show clear di ﬀ erences. If  sta tistics are required to demonstrate di ﬀ erences betw een results, it is likely that they are unlikely to have major clinical signiﬁ cance.

# SUNRR

SUNRR

that enhances the integrity of  the study and includes require ments for sponsorship by an institution to ensure the following: peer review , independent ethics review , compliance with data protection principles , ﬁnancial probity , dissemination and management of  intellectual property . Sponsorship is deﬁned by the HRA as the individual, company , institution or organisation that takes on ultimate responsibility for the initiation, management (or arranging the initiation and management) of  and/or ﬁnancing (or arrang ing the ﬁnancing) for tha t research. The sponsor takes pri mary responsibility for ensuring that the design of  the study meets appropriate standards and that arrangements are in place to ensure appropriate conduct and reporting (https:// www .hra.nhs.uk/planning-and-improving-research/research planning/roles-and-responsibilities/#sponsor). 

SUNRRISE: S
ingle
U
se
N
egative p
site infection following
Multicentre, prospective
undergoing emergency
RCT (minimum 25
general surgical units)
Sample size calculation:
90% power to detect
reduction of SSI at 30
days from 25% to 15%
Predicted attrition rate
of 20%
420 SUNPD
Figure 13.1
SUNRRISE trial: protocol summary and recruitment
/f_l
owchart. Permission is granted by Birmingham Clinical Trials Unit, University
of Birmingham, UK. RCT, randomised controlled trial; SSI, surgical site infection; SUNPD: single-use negative-pressure dressing.

SUNRR

that enhances the integrity of  the study and includes require ments for sponsorship by an institution to ensure the following: peer review , independent ethics review , compliance with data protection principles , ﬁnancial probity , dissemination and management of  intellectual property . Sponsorship is deﬁned by the HRA as the individual, company , institution or organisation that takes on ultimate responsibility for the initiation, management (or arranging the initiation and management) of  and/or ﬁnancing (or arrang ing the ﬁnancing) for tha t research. The sponsor takes pri mary responsibility for ensuring that the design of  the study meets appropriate standards and that arrangements are in place to ensure appropriate conduct and reporting (https:// www .hra.nhs.uk/planning-and-improving-research/research planning/roles-and-responsibilities/#sponsor). 

SUNRRISE: S
ingle
U
se
N
egative p
site infection following
Multicentre, prospective
undergoing emergency
RCT (minimum 25
general surgical units)
Sample size calculation:
90% power to detect
reduction of SSI at 30
days from 25% to 15%
Predicted attrition rate
of 20%
420 SUNPD
Figure 13.1
SUNRRISE trial: protocol summary and recruitment
/f_l
owchart. Permission is granted by Birmingham Clinical Trials Unit, University
of Birmingham, UK. RCT, randomised controlled trial; SSI, surgical site infection; SUNPD: single-use negative-pressure dressing.

SUNRR

that enhances the integrity of  the study and includes require ments for sponsorship by an institution to ensure the following: peer review , independent ethics review , compliance with data protection principles , ﬁnancial probity , dissemination and management of  intellectual property . Sponsorship is deﬁned by the HRA as the individual, company , institution or organisation that takes on ultimate responsibility for the initiation, management (or arranging the initiation and management) of  and/or ﬁnancing (or arrang ing the ﬁnancing) for tha t research. The sponsor takes pri mary responsibility for ensuring that the design of  the study meets appropriate standards and that arrangements are in place to ensure appropriate conduct and reporting (https:// www .hra.nhs.uk/planning-and-improving-research/research planning/roles-and-responsibilities/#sponsor). 

SUNRRISE: S
ingle
U
se
N
egative p
site infection following
Multicentre, prospective
undergoing emergency
RCT (minimum 25
general surgical units)
Sample size calculation:
90% power to detect
reduction of SSI at 30
days from 25% to 15%
Predicted attrition rate
of 20%
420 SUNPD
Figure 13.1
SUNRRISE trial: protocol summary and recruitment
/f_l
owchart. Permission is granted by Birmingham Clinical Trials Unit, University
of Birmingham, UK. RCT, randomised controlled trial; SSI, surgical site infection; SUNPD: single-use negative-pressure dressing.

# Sample size

Sample size

Calculating the number of  patients required to perform a satis - factory investigation is an important prerequisite to any study . An incorrect sample size is probably the most frequent reason for research being invalid. Often, surgical trials are marred by the possibility of error caused by the inadequate number of patients investigated. none (false positive). /uni25CF Type II error . Beneﬁt is missed when it was there to be found (false negative). Calculating the number of  patients required in the study can overcome this bias. Unfortunately , it often reveals larger number of  patients is needed for the study than can pos sibly be obtained from available local resources. This usually means expanding enrolment by running a multicentre study – which has the added beneﬁt of improving the external validity of ﬁndings. More patients will need to be randomised than the ﬁnal sample size to take into account patients who die, drop out or are lost to follow-up; this is known as the attrition rate. A longer time from trial entry to primary outcome assessment will result in an increased attrition rate of  participants. The following is an example calculation for a study to recruit patients into two groups. In order to calculate a sam ple size, it is now common practice to set the level of  pow for the study at 90% with a 5% signiﬁcance level. This means that, if  there is a di ﬀ erence between study groups, there is a 90% c hance of  detecting it. Based on previous studies, realistic expectations of  di ﬀ erences between groups (i.e. the magnitude of  the e ﬀ ect seen from utilising the intervention under study), according to the best available evidence, should be used to cal culate the sample size. The formula below uses the results of  a reduction in event rate from 30% to 20% (e.g. a new treatment expected to reduce the complication rate such as wound infec tion from 30% = r to 20% = s ). [ r (100 − r ) + s (100 − s )] 9 × 2 ( r − s ) [30(100 − 30) + 20(100 − 20)] e.g. 9 × 2 (30 − 20) = 333 needed in each group Sample size

Calculating the number of  patients required to perform a satis - factory investigation is an important prerequisite to any study . An incorrect sample size is probably the most frequent reason for research being invalid. Often, surgical trials are marred by the possibility of error caused by the inadequate number of patients investigated. none (false positive). /uni25CF Type II error . Beneﬁt is missed when it was there to be found (false negative). Calculating the number of  patients required in the study can overcome this bias. Unfortunately , it often reveals larger number of  patients is needed for the study than can pos sibly be obtained from available local resources. This usually means expanding enrolment by running a multicentre study – which has the added beneﬁt of improving the external validity of ﬁndings. More patients will need to be randomised than the ﬁnal sample size to take into account patients who die, drop out or are lost to follow-up; this is known as the attrition rate. A longer time from trial entry to primary outcome assessment will result in an increased attrition rate of  participants. The following is an example calculation for a study to recruit patients into two groups. In order to calculate a sam ple size, it is now common practice to set the level of  pow for the study at 90% with a 5% signiﬁcance level. This means that, if  there is a di ﬀ erence between study groups, there is a 90% c hance of  detecting it. Based on previous studies, realistic expectations of  di ﬀ erences between groups (i.e. the magnitude of  the e ﬀ ect seen from utilising the intervention under study), according to the best available evidence, should be used to cal culate the sample size. The formula below uses the results of  a reduction in event rate from 30% to 20% (e.g. a new treatment expected to reduce the complication rate such as wound infec tion from 30% = r to 20% = s ). [ r (100 − r ) + s (100 − s )] 9 × 2 ( r − s ) [30(100 − 30) + 20(100 − 20)] e.g. 9 × 2 (30 − 20) = 333 needed in each group Sample size

Calculating the number of  patients required to perform a satis - factory investigation is an important prerequisite to any study . An incorrect sample size is probably the most frequent reason for research being invalid. Often, surgical trials are marred by the possibility of error caused by the inadequate number of patients investigated. none (false positive). /uni25CF Type II error . Beneﬁt is missed when it was there to be found (false negative). Calculating the number of  patients required in the study can overcome this bias. Unfortunately , it often reveals larger number of  patients is needed for the study than can pos sibly be obtained from available local resources. This usually means expanding enrolment by running a multicentre study – which has the added beneﬁt of improving the external validity of ﬁndings. More patients will need to be randomised than the ﬁnal sample size to take into account patients who die, drop out or are lost to follow-up; this is known as the attrition rate. A longer time from trial entry to primary outcome assessment will result in an increased attrition rate of  participants. The following is an example calculation for a study to recruit patients into two groups. In order to calculate a sam ple size, it is now common practice to set the level of  pow for the study at 90% with a 5% signiﬁcance level. This means that, if  there is a di ﬀ erence between study groups, there is a 90% c hance of  detecting it. Based on previous studies, realistic expectations of  di ﬀ erences between groups (i.e. the magnitude of  the e ﬀ ect seen from utilising the intervention under study), according to the best available evidence, should be used to cal culate the sample size. The formula below uses the results of  a reduction in event rate from 30% to 20% (e.g. a new treatment expected to reduce the complication rate such as wound infec tion from 30% = r to 20% = s ). [ r (100 − r ) + s (100 − s )] 9 × 2 ( r − s ) [30(100 − 30) + 20(100 − 20)] e.g. 9 × 2 (30 − 20) = 333 needed in each group

# Study protocol

Study protocol

Now that the research question has been decided, and it has been checked that su ﬃ cient patients should be available to enrol into the study , it is time to prepare the detail of  the trial. At this stage, a study protocol should be constructed to deﬁne the research plan. It should contain the background of  the deﬁnitions of population and sample sizes and methods of proposed analysis. It should include the patient numbers, inclusion and e xclusion criteria and the timescale for the work. The protocol should be detailed enough for another party to come along in the future and theoretically replicate the study . that a It is useful to construct a ﬂow diagram giving a clear summary - of the research protocol and its requirements ( Figure 13.1 ). It is helpful to imagine the paper that will be written about the study before the study is performed. This may prevent errors in data collection. When a study is planned, su ﬃ cient time should be r eserved at the beginning for fund-raising and obtaining ethical, regula - tory and or other approvals (e.g. HRA). Time for data analysis and preparation of  publication needs to be included in fund - ing applications. The cost of  any non-routine investiga tions and extra treatments should be identiﬁed and covered by the - research grant in line with national guidance (in the UK, the er Attributing the costs of  health and social care Resear ch and Development [AcoRD] guidance; https://www .gov .uk/gov - ernment/publications/guidance-on-attributing-the-costs-of - health-and-social-care-research). A data collection form should be designed or a computer collection package developed. If  data are collected on a com - - puter, appropriate safeguards for privacy , conﬁdentiality and data quality will be necessary to comply with legislation. At this stage it is important to consider any validation require - - ments and needs for open access, either in a recognised archive (e.g. the UK Data Archive) or in an institutional repository . Any form of  data collection needs to be quality assured. The quality assurance process will include training, standard oper - ating procedures as w ell as monitoring and checking a certain sample of  the data. At the end of  data collection and analysis, a ﬁnal database with all data should be locked and kept for future reference in a safe location. A da ta-archiving policy with a nominated data custodian should be in place. Research is no longer conﬁned by institutional or even geo - graphical boundaries. Collaborative research groups in sur - gery at a national or international level have come together to undertake high-quality surgical research in recent years, aided by online communication and the a vailability of secure elec - tronic databases such as REDCap™. The SUNRRISE trial shown in Figure 13.1 was undertaken by researchers from two trainee-led research collaborative g roups across the UK, in conjunction with a parallel collaborative group in Australia. All patients were included within the same study cohort in real time: the Australian sites were e ﬀ ectively identical to those in the UK because of  online electronic randomisation systems and online live data capture via REDCap. Some publishers require registration of  a study at the time it is set up on a publicly available database (e.g. the World Health Organization’s recognised registries suc h as ISRCTN, EudraCT and ClinicalTrials.gov). It is becoming increasingly popular to consider publication of  a protocol paper. Study protocol

Now that the research question has been decided, and it has been checked that su ﬃ cient patients should be available to enrol into the study , it is time to prepare the detail of  the trial. At this stage, a study protocol should be constructed to deﬁne the research plan. It should contain the background of  the deﬁnitions of population and sample sizes and methods of proposed analysis. It should include the patient numbers, inclusion and e xclusion criteria and the timescale for the work. The protocol should be detailed enough for another party to come along in the future and theoretically replicate the study . that a It is useful to construct a ﬂow diagram giving a clear summary - of the research protocol and its requirements ( Figure 13.1 ). It is helpful to imagine the paper that will be written about the study before the study is performed. This may prevent errors in data collection. When a study is planned, su ﬃ cient time should be r eserved at the beginning for fund-raising and obtaining ethical, regula - tory and or other approvals (e.g. HRA). Time for data analysis and preparation of  publication needs to be included in fund - ing applications. The cost of  any non-routine investiga tions and extra treatments should be identiﬁed and covered by the - research grant in line with national guidance (in the UK, the er Attributing the costs of  health and social care Resear ch and Development [AcoRD] guidance; https://www .gov .uk/gov - ernment/publications/guidance-on-attributing-the-costs-of - health-and-social-care-research). A data collection form should be designed or a computer collection package developed. If  data are collected on a com - - puter, appropriate safeguards for privacy , conﬁdentiality and data quality will be necessary to comply with legislation. At this stage it is important to consider any validation require - - ments and needs for open access, either in a recognised archive (e.g. the UK Data Archive) or in an institutional repository . Any form of  data collection needs to be quality assured. The quality assurance process will include training, standard oper - ating procedures as w ell as monitoring and checking a certain sample of  the data. At the end of  data collection and analysis, a ﬁnal database with all data should be locked and kept for future reference in a safe location. A da ta-archiving policy with a nominated data custodian should be in place. Research is no longer conﬁned by institutional or even geo - graphical boundaries. Collaborative research groups in sur - gery at a national or international level have come together to undertake high-quality surgical research in recent years, aided by online communication and the a vailability of secure elec - tronic databases such as REDCap™. The SUNRRISE trial shown in Figure 13.1 was undertaken by researchers from two trainee-led research collaborative g roups across the UK, in conjunction with a parallel collaborative group in Australia. All patients were included within the same study cohort in real time: the Australian sites were e ﬀ ectively identical to those in the UK because of  online electronic randomisation systems and online live data capture via REDCap. Some publishers require registration of  a study at the time it is set up on a publicly available database (e.g. the World Health Organization’s recognised registries suc h as ISRCTN, EudraCT and ClinicalTrials.gov). It is becoming increasingly popular to consider publication of  a protocol paper. Study protocol

Now that the research question has been decided, and it has been checked that su ﬃ cient patients should be available to enrol into the study , it is time to prepare the detail of  the trial. At this stage, a study protocol should be constructed to deﬁne the research plan. It should contain the background of  the deﬁnitions of population and sample sizes and methods of proposed analysis. It should include the patient numbers, inclusion and e xclusion criteria and the timescale for the work. The protocol should be detailed enough for another party to come along in the future and theoretically replicate the study . that a It is useful to construct a ﬂow diagram giving a clear summary - of the research protocol and its requirements ( Figure 13.1 ). It is helpful to imagine the paper that will be written about the study before the study is performed. This may prevent errors in data collection. When a study is planned, su ﬃ cient time should be r eserved at the beginning for fund-raising and obtaining ethical, regula - tory and or other approvals (e.g. HRA). Time for data analysis and preparation of  publication needs to be included in fund - ing applications. The cost of  any non-routine investiga tions and extra treatments should be identiﬁed and covered by the - research grant in line with national guidance (in the UK, the er Attributing the costs of  health and social care Resear ch and Development [AcoRD] guidance; https://www .gov .uk/gov - ernment/publications/guidance-on-attributing-the-costs-of - health-and-social-care-research). A data collection form should be designed or a computer collection package developed. If  data are collected on a com - - puter, appropriate safeguards for privacy , conﬁdentiality and data quality will be necessary to comply with legislation. At this stage it is important to consider any validation require - - ments and needs for open access, either in a recognised archive (e.g. the UK Data Archive) or in an institutional repository . Any form of  data collection needs to be quality assured. The quality assurance process will include training, standard oper - ating procedures as w ell as monitoring and checking a certain sample of  the data. At the end of  data collection and analysis, a ﬁnal database with all data should be locked and kept for future reference in a safe location. A da ta-archiving policy with a nominated data custodian should be in place. Research is no longer conﬁned by institutional or even geo - graphical boundaries. Collaborative research groups in sur - gery at a national or international level have come together to undertake high-quality surgical research in recent years, aided by online communication and the a vailability of secure elec - tronic databases such as REDCap™. The SUNRRISE trial shown in Figure 13.1 was undertaken by researchers from two trainee-led research collaborative g roups across the UK, in conjunction with a parallel collaborative group in Australia. All patients were included within the same study cohort in real time: the Australian sites were e ﬀ ectively identical to those in the UK because of  online electronic randomisation systems and online live data capture via REDCap. Some publishers require registration of  a study at the time it is set up on a publicly available database (e.g. the World Health Organization’s recognised registries suc h as ISRCTN, EudraCT and ClinicalTrials.gov). It is becoming increasingly popular to consider publication of  a protocol paper.