Randomized controlled trial
Why this level?
Participants or clusters are randomly allocated to concurrent comparison groups. NHMRC 2009 sourceRandom allocation places this intervention design at Level II. Allocation concealment, adherence, analysis choices and follow-up still require separate appraisal; the design label does not certify study quality.
What question does this help answer?
RCTs are best suited to questions about the causal effect of an intervention when random assignment is feasible, ethical, and aligned with the research objective.
When to use it
Use an RCT when the investigator can assign an intervention, a credible comparison condition exists, prospective follow-up is possible, and the main goal is to estimate an intervention effect. Randomization is especially valuable when confounding would otherwise make treatment groups difficult to compare.
When not to use it
An RCT may be inappropriate when the exposure cannot ethically or practically be assigned, when the intervention is already universally implemented, when very long latency makes a trial infeasible, or when the question is primarily descriptive rather than causal.
How it works in plain language
Eligible participants are enrolled, assigned using a random process, followed over time, and compared on prespecified outcomes. Allocation concealment, blinding when possible, complete follow-up, prespecified outcomes, and intention-to-treat analysis help preserve the validity created by randomization.
What the trial's flow looks like
What a trial's Table 1 looks like
| Characteristic | Group 1 (n = 250) | Group 2 (n = 250) |
|---|---|---|
| Age, mean (SD), y | 64.2 (12.1) | 63.0 (13.1) |
| Female, No. (%) | 142 (56.8) | 138 (55.2) |
| Comorbidity index, mean (SD) | 2.6 (1.7) | 2.5 (1.9) |
| Insurance type, No. (%) | 62 (27.2) | 56 (25.2) |
| Baseline severity score, mean (SD) | 5.4 (2.2) | 5.2 (2.4) |
Why Mallard may recommend it
Mallard may recommend an RCT when the research question asks whether a modifiable intervention causes a change in an outcome and the study context suggests prospective assignment is feasible.
Key assumptions and design requirements
- A truly random allocation process is used.
- The allocation process is protected from prediction or manipulation.
- Outcome definitions and primary analyses are prespecified.
- Differential loss to follow-up, nonadherence, and missing outcomes are addressed.
- Analysis respects the randomized assignment unless a different estimand is explicitly justified.
What to watch out for
Calling a study “randomized” does not make it rigorous if the sequence is predictable, allocation is not concealed, follow-up differs between groups, or outcomes are switched after results are known.
Clinical example
Question: Does a new clinician reminder reduce inappropriate antibiotic prescribing? Design: Randomize clinics or clinicians to receive the reminder or usual workflow, then compare prescribing outcomes over a prespecified follow-up period.
- CONSORT 2025 statement: updated guideline for reporting randomised trials (opens in a new tab) · BMJ · doi 10.1136/bmj-2024-081123
- SPIRIT 2025 and CONSORT 2025 published statements (opens in a new tab) · CONSORT-SPIRIT
- SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (opens in a new tab) · BMJ · doi 10.1136/bmj-2024-081660
- Overview of clinical study designs (opens in a new tab) · Clin Exp Emerg Med · doi 10.15441/ceem.23.036