Designing the Study

Preliminary Planning

The first step is to specify the research study question using the PICOT format which serves as an aid in developing the research question.

  • Population
  • Intervention (or for observational studies, the procedures for measurement)
  • Comparison(s)
  • Outcome measures
  • Time

For more information about devising a PICOT question, see the following:

After the Research Question is Defined: Next Steps

With the research question identified, the next step for any study that goes beyond being purely descriptive is to identify collaborators including a statistician or someone knowledgeable about statistics to assist with the study design and planning. Failure to have adequate statistical input at the outset is amongst the most common reasons for studies being deferred rather than approved.

Before the details are finalized, it is best to create a 3 - 5 page high-level concept protocol or synopsis that includes the key design elements. The synopsis and ultimately the final protocol, need to follow the basic precepts for the type of research design that is chosen. While it may seem an obvious step, the majority of protocols submitted to the IRB do not have a succinct summary of the research design.

After all collaborators have agreed on the concept protocol, the feasibility of the resulting study needs to be assessed. Over half of all studies fail to meet their enrollment timelines. Are there enough potential subjects? Will additional sites be required? Is there funding for the scope of the study? Only after the feasibility of the study is assured should the details of the protocol be finalized. The final protocol should provide sufficient information so that the scientific reviewers, the DSMB (if applicable), the IRB, and ultimately the target journals where the study hopes to be published all have the information that they will need to assess the research.

Study Design Steps

Choose the Right Study Design

Classification Clinical Research Image

Clinical research can be categorized into one of a few basic clinical study designs. Additional specificity may pertain, such as economic analysis, ethnography, focus groups, etc. OHRP's IRB Guidebook has a nice overview of clinical research design written for the audience of IRB members.

Key Decisions

  • Will there be a study intervention (e.g., a drug, a diet or an educational strategy)?
    • If YES, this is a Clinical Trial, which could be randomized or non-randomized and have historical, active, concurrent or no control subjects.
    • If NO, this is an Observational study
  • Is there an analytic plan with comparisons?
    • If NO, this is a Descriptive study with no comparisons between groups and an analytic plan limited to summary statistics (e.g., study of natural history of disease, summary of experience with treating a condition).
  • If YES, will subjects be followed over time?
    • In a Cohort study, subjects are followed from identification of a risk factor forward in time;
    • Case-Control studies identify subjects with outcomes of interest and look backwards for risk factors;
    • Cross-Sectional studies observe subjects at a single moment in time (e.g., on a single day, at a fixed time, at a single clinic visit)

Note: All observational studies can be either retrospective, prospective or a combination.

Why is the choice of study design important?

The study design affects the types of questions that can be asked, the type of data gathered, the appropriate approach to analysis of the data and the kinds of conclusions that can be drawn from the study. It also impacts the risks associated with the research activity. All of these issues and many more need to be specified in the protocol. Conducting a research study without first defining the basic structure of the study design is like driving a car in a new city without a map (or GPS).

Basic Resources for Clinical Investigators

There are many textbooks, journal articles and online resources that discuss clinical epidemiology and biostatistics. The resources below include basic sources that the CHOP IRB has found useful as an introduction to the field of clinical research.

Basic Textbooks

Designing Clinical Research Textbook Image

Designing Clinical Research: An Epidemiologic Approach
SB Hulley, SR Cummings, WS Browner, DG Grady, TB Newman

An excellent introduction to clinical research, epidemiology and study design. The authors cover observational studies, clinical trials, diagnostic studies and include chapters on basic statistics, data management, research ethics and overall study management.

More Details

Designing Clinical Research Textbook Image

Clinical Epidemiology: How to Do Clinical Practice Research
RB Haynes, DL Sackett, GH Guyatt, P Tugwell

A fabulous resource written by the MacMaster group. This is a follow-up to their first two texts which focused on understanding epidemiology from the perspective of the clinician and as the basis for evidence-based practice. The focus of this book is on clinical trials but this text should be of interest to anyone conducting clinical research.

More Details

Designing Clinical Research Textbook Image

Fundamentals of Clinical Trials
LM Friedman, CD Furberg, DL DeMets

This is a small, readable text devoted to the planning, conduct and analysis of clinical trials. A great place to start for those planning on getting started as a clinical trialist.

More Details

Reporting Guidelines

A consensus statement on writing clinical trial protocols (SPIRIT) and for reporting of study results - e.g. clinical trials (CONSORT), observational studies (STROBE) and diagnostic tests (STARD) - have been developed. More information can be found at the websites below. Adherence to these guidelines helps ensure that all critical elements for conducting and reporting of clinical research studies are included in the study protocol. Journal references for each are included in the next section.

Journal Articles

Basic introductory references are included below from introductory series and consensus statements for the reporting of clinical trials, observational studies and diagnostic studies. If the protocol does not contain all of the information that will be required for reporting results, then the quality and validity of the research is suspect.

Overview
Grimes DA, Schulz KF. An overview of clinical research: the lay of the land. Lancet. 2002;359:57-61.

Observational Studies
Grimes DA, Schulz KF. Bias and causal associations in observational research. Lancet. 2002;359:248-252.

Mann CJ. Observational research methods. Research design II: cohort, cross sectional, and case-control studies. Emerg Med J. 2003;20:54-60.

Descriptive Studies
Grimes DA, Schulz KF. Descriptive studies: what they can and cannot do. Lancet. 2002;359:145-149.

Vandenbroucke JP. In defense of case reports and case series. Ann Intern Med. 2001;134:330-334.

Cohort Studies
Grimes DA, Schulz KF. Cohort studies: marching towards outcomes. Lancet. 2002;359:341-345.

Rochon PA, Gurwitz JH, Sykora K, et al. Reader's guide to critical appraisal of cohort studies: 1. Role and design. BMJ. 2005;330:895-897.

Mamdani M, Sykora K, Li P, et al. Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding. BMJ. 2005;330:960-962.

Normand SL, Sykora K, Li P, Mamdani M, Rochon PA, Anderson GM. Readers guide to critical appraisal of cohort studies: 3. Analytical strategies to reduce confounding. BMJ. 2005;330:1021-1023.

Case-Control Studies
Schulz KF, Grimes DA. Case-control studies: research in reverse. Lancet. 2002;359:431-434

Reporting Guidelines for Observational Studies
von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147:573-577.

Vandenbroucke JP, von Elm E, Altman DG, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Ann Intern Med. 2007;147:W163-W194.

Clinical Trials
Kendall JM. Designing a research project: randomised controlled trials and their principles. Emerg Med J. 2003;20:164-168.

Schulz KF, Grimes DA. Blinding in randomised trials: hiding who got what. Lancet. 2002;359:696-700.

Schulz KF, Grimes DA. Allocation concealment in randomised trials: defending against deciphering. Lancet. 2002;359:614-618.

Schulz KF, Grimes DA. Generation of allocation sequences in randomised trials: chance, not choice. Lancet. 2002;359:515-519.

Perera R and colleagues. A graphical method for depicting randomised trials of complex interventions. BMJ 2007; 334:127-9

CEBM (Center for Evidence Based Medicine) includes web-based access to the PaT Plot tooldescribed by Perea et al. for generating graphical representations of complex clinical trials.

Reporting Guidelines for Clinical Trials
Moher D, Schulz KF, Altman DG, CONSORT GROUP (Consolidated Standards of Reporting Trials). The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials. Ann Intern Med. 2001;134:657-662.

Altman DG, Schulz KF, Moher D, et al. The revised CONSORT statement for reporting randomized trials: explanation and elaboration. Ann Intern Med. 2001;134:663-694.

Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P, CONSORT Group. Extending the CONSORT statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008;148:295-309.

Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P, CONSORT Group. Methods and processes of the CONSORT Group: example of an extension for trials assessing nonpharmacologic treatments. Ann Intern Med. 2008;148:W60-W66.

Diagnostic Tests
Altman DG, Bland JM. Diagnostic tests. 1: sensitivity and specificity. BMJ. 1994;308:1552.

Altman DG, Bland JM. Diagnostic tests 2: predictive values. BMJ. 1994;309:102.

Altman DG, Bland JM. Diagnostic tests 3: receiver operating characteristic plots. BMJ. 1994;309:188.

Deeks, JJ, Altman DG. Diagnostic tests 4: likelihood ratios. BMJ. 1994;309:188.

Reporting Guidelines for Diagnostic Studies
Bossuyt PM, Reitsma JB, Bruns DE, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ 2015;351:h5527

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