Emergency Medicine Research: Study Designs and Opportunities
Emergency medicine research addresses time-critical care, undifferentiated presentations and high patient volumes. Beginners can contribute through retrospective studies of process measures, diagnostic accuracy studies, prospective observational projects and reviews, with attention to consent and data quality in busy settings.
Designs that fit
- Retrospective cohort or cross-sectional studies of emergency department (ED) records: time to treatment, return visits, disposition.
- Diagnostic accuracy studies of clinical decision rules, point-of-care tests or imaging.
- Prospective observational studies with trained data collectors.
- Pre-hospital and trauma registries.
- Quality improvement and process studies.
- Systematic or scoping reviews.
- Randomised trials in emergency settings, which need special consent approaches and are usually led by experienced teams.
Particular challenges
- Consent: patients may be unable to consent in emergencies; ethics committees may approve alternatives such as deferred or waived consent under defined conditions (see What Is Informed Consent in Clinical Research?).
- Data quality: time stamps and variables may be recorded inconsistently.
- Case-mix and crowding vary across shifts and seasons.
- Outcome ascertainment: follow-up after discharge is often limited.
Illustrative example
Invented for teaching. "In adults presenting with chest pain to one ED in 2024, what are the sensitivity and specificity of a clinical decision score for 30-day major cardiac events, using hospital records and a follow-up call?" Design: diagnostic accuracy study, reported with STARD. Limitations: incomplete follow-up and spectrum bias.
A practical start
Shadow a shift to see how data are recorded, then ask which fields are reliable (arrival time, triage category, disposition) and which are not. Pilot your data extraction on 20 charts, compare it with a colleague's extraction and refine definitions. For prospective projects, train data collectors, agree how to capture patients who leave early and plan how missed cases will be reported.
Common pitfalls
- Selecting only patients who stayed in the department.
- Using time stamps without checking their meaning.
Key takeaways
- Choose designs that fit the setting and data; plan consent and data quality early.
- Define outcomes and follow-up clearly.
References and further reading
- Hulley SB, Cummings SR, Browner WS, Grady D, Newman TB. Designing Clinical Research. 4th ed. Lippincott Williams & Wilkins; 2013. Link
- 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. BMJ. 2007;335:806-808. doi:10.1136/bmj.39335.541782.AD
- 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. doi:10.1136/bmj.h5527
- Schulz KF, Altman DG, Moher D; CONSORT Group. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c332. doi:10.1136/bmj.c332
Related reading
This page is general educational information about research methods. It is not medical, legal or regulatory advice; follow your institution's ethics board and your target journal's instructions.
