The study type you choose decides almost everything about your first project: how long it takes, whether you need ethics approval, how much help you need, and how likely you are to finish. Most students pick based on what sounds impressive. Pick based on the time and access you actually have, and you will finish. Pick based on prestige, and you will stall.
Here is the honest framing nobody gives you. There is no "best" study type. There is the one that fits your constraints, and there is everything else. This guide walks through the common designs a student or early resident can realistically run, what each one costs you, and how to tell which fits.
Start from your constraints, not the design
Before you look at any study type, answer four questions honestly.
- How much time do you have, and over what window? Five hours a week for three months is a very different project from twenty hours a week over a summer.
- Do you have access to data? A clinical database, a chart system, a patient population, or none of the above. This single factor rules most options in or out.
- Can you get ethics approval, and how fast? At some institutions an IRB review is two weeks. At others it is four months. This is the silent killer of student timelines.
- Are you working alone or with a team? Some designs are miserable solo and pleasant with three people splitting the work.
Write your four answers down. Now the choice gets much easier, because each study type maps cleanly onto a different set of constraints.
The case report
What it is: a detailed write-up of one unusual or instructive patient.
Time: weeks, if you already have the case.
Best when: you are on a clinical rotation and encounter something genuinely rare or a presentation that teaches a lesson.
The case report is the classic first paper for a reason. It is short, it does not need statistical analysis, and the bar to publication in a case-reports journal is reachable. The catch is that you cannot manufacture one. You need an actual interesting patient, and you need consent. If a case lands in your lap during a rotation, grab it and find a supervising clinician the same week, because the window closes when the patient moves on.
The mistake students make is forcing a mundane case into a report. A straightforward presentation of a common disease is not publishable no matter how well written. The case has to teach something the reader did not already know.
The retrospective chart review
What it is: you look back through existing patient records to answer a question about a group of patients who already presented.
Time: a few months, mostly data extraction.
Best when: you have access to a chart system and a clean, narrow question.
For most students with hospital access, this is the sweet spot. The data already exists, so there is no recruitment, no waiting for patients, no intervention. You define a question ("among patients admitted with X over the last five years, how often did Y happen?"), pull the relevant charts, extract the variables into a spreadsheet, and analyze.
The work is real but predictable, which is exactly what you want on a first project. The two things that sink chart reviews are a question that is too broad (you drown in variables) and underestimating the ethics timeline (you still need approval to touch records, even retrospectively). Keep the question narrow enough that one focused spreadsheet answers it, and start the ethics paperwork before anything else.
The systematic review or scoping review
What it is: a structured, reproducible summary of all the existing literature on a specific question.
Time: several months, front-loaded and screening-heavy.
Best when: you have no data access or no ethics route, but you have time and at least one co-screener.
This is the most accessible design for a student with no clinical data, because the "data" is published papers. You do not need an IRB. You do not need patients. You need a sharp question, a search strategy, and the discipline to screen hundreds of abstracts against your criteria.
The honest warning: it is more work than it looks, and the screening stage is tedious. A proper systematic review also wants two independent screeners to reduce bias, so this is a design that strongly rewards having a collaborator. If you are weighing a full systematic review against a lighter scoping review, the rough rule is that a systematic review answers a narrow question with pooled evidence, while a scoping review maps what exists across a broader area. New researchers often overreach toward the systematic review when a scoping review matches both their question and their time.
The survey or questionnaire study
What it is: you design a questionnaire, distribute it to a defined population, and analyze the responses.
Time: a few months, with a hard dependency on response rate.
Best when: your question is about attitudes, knowledge, or experiences rather than clinical outcomes.
Surveys are appealing because you generate your own data and you do not need patient records. They are deceptively hard to do well. A badly designed question produces data you cannot use, and low response rates can sink the whole thing. They still need ethics approval in most cases, because you are collecting data from human participants.
If you go this route, spend real effort on validating your questions and on the distribution plan before you launch. You only get to send it once. A survey is a good fit when you have a captive, reachable population (your own cohort of students, a department's clinicians) and a question that genuinely needs their input.
The prospective study
What it is: you define a question, then collect new data going forward, or run an intervention and measure what happens.
Time: a year or more, often much more.
Best when: you have a committed mentor, real institutional support, and a long runway.
Prospective and interventional studies are where the strongest evidence comes from, and they are almost never the right first solo project for a student. Recruitment is slow, ethics review is heavier, and the timeline routinely outlasts a student's availability. That does not mean avoid them. It means join one that is already running rather than starting one from scratch. Coming onto an established prospective study as the person who handles data collection or analysis gives you the experience without betting your only window on a multi-year build.
The platform does not gate any of these by methodology, by the way. Interventional studies, trials, basic science, and qualitative work are all in scope. The point of this section is purely practical: match the design to the time you have.
A quick way to decide
Run your constraints through this and you will land in the right place:
- No data access, no ethics route, but you have time and a co-screener? A scoping or systematic review.
- Chart access and a narrow clinical question? A retrospective chart review.
- An unusual patient in front of you right now? A case report, this week.
- A reachable population and a question about their views or knowledge? A survey.
- A long runway and a committed mentor? Join an existing prospective study rather than launching your own.
Whatever you pick, define the question narrowly enough that you can describe it in one sentence, confirm the ethics route before you do anything else, and be honest about how many hours you can actually give it. Those three habits matter more than the design label on the front of the paper.
See what others are actually working on
The fastest way to calibrate is to read real projects. Browse open ones on iCohort to see how people scope a question and which roles they need, or post your own and find collaborators to split the work. Free during early access.
Browse open projects