Clinical Research Design Simplified
A step-by-step guide for nurses, physicians and allied-health researchers.
The problem it solves
Clinicians see the problem on the ward every day and know there should be a better way. Turning that observation into a study that survives an IRB and holds up under scrutiny is a different skill, and it is rarely taught to people who already have a full clinical job.
How it works
Written for practising healthcare professionals rather than methodologists: no prior research background assumed, and no statistics degree required to follow it.
Who it is for
- Nurses, physicians and allied-health professionals designing a first study
- Clinicians with a research idea and no formal methods training
- Trainees whose protocol has been sent back and who were not told why
Who should look elsewhere. If you already have data and need to analyse it, this is the wrong end of the process. If your project is local improvement against an existing standard, it is probably audit rather than research — the clinical audit workbook is the better fit and takes a much shorter governance route.
What is inside
- Turning a clinical observation into a researchable question with PICOT
- Testing that question against FINER before committing to it
- Matching a design to the question rather than to what you have seen before
- Sampling, and the difference between what is ideal and what is achievable in a clinic
- Choosing measures, and the validity and reliability an examiner will ask about
- Anticipating what an ethics committee will query, before submission
- Planning analysis before data collection, so the data can answer the question
What you will have finished
- Clinical questions turned into researchable ones using PICOT and FINER
- A study design matched to the question rather than to habit
- A protocol that anticipates what an ethics committee will ask
- Sampling, measurement and analysis planned before data collection starts
What this adds to the free guidance
Most clinical research texts are written for people whose job is research. This one is written for people whose job is clinical care and who have a research requirement attached — no prior methods background assumed, no statistics degree needed to follow it, and the worked examples come from practice rather than from a methods seminar.
Built on PICOT, FINER. Original tools that operationalise the published standards and point to the free official sources.
Frequently asked questions
Can I do this alongside a full clinical job?
That is the assumption it is written on. The chapters are short and each ends with a decision recorded rather than an essay written, which is what makes the work survivable in the gaps between clinical commitments. Design work is front-loaded on purpose: the decisions that cost the most to reverse are the ones you make first.
My protocol was rejected. Will this tell me why?
Probably. The most common reasons a first protocol is sent back are an unclear question, a design that cannot answer it, a sampling plan with no justification, and measures whose validity is asserted rather than evidenced. Each has a chapter, and the ethics chapter covers the queries committees raise most often.
Does it cover qualitative designs?
Yes, as design choices rather than as an afterthought — when a qualitative or mixed design answers the question better, and what that commits you to. It does not teach qualitative analysis itself; the coding workbook does that.
Do I need statistics training to use this?
No. It covers the design decisions that determine which analysis is appropriate, and makes you plan the analysis before collecting data. It does not teach you to run the tests, and it says plainly where a statistician should be involved.
How is this different from audit or service evaluation?
Research sets out to produce generalisable new knowledge and needs ethics review. Audit measures local practice against an existing standard and normally does not. The distinction determines your governance route and can cost months if you get it wrong, which is why it is settled early.
What is FINER and why use it alongside PICOT?
PICOT makes a question specific — population, intervention, comparison, outcome, time. FINER asks whether it is worth doing and can be done: feasible, interesting, novel, ethical, relevant. A question can be perfectly specific and still be unanswerable in your setting, and FINER is what catches that.