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Published on: August 1, 2019
Randomized Controlled Trials of Electronic Health Record Interventions: Design, Conduct, and Reporting Considerations
Mark J Pletcher1, Valerie Flaherman1, Nader Najafi1
1University of California, San Francisco, San Francisco, California (M.J.P., V.F., N.N., S.P., R.J.R., A.H., A.R., R.J.C., C.E.M., R.G., A.A.).
Designing randomized controlled trials (RCTs) for electronic health record (EHR) interventions requires careful consideration of randomization units and computational components. This ensures effective evaluation of novel EHR-driven clinical decision support tools.
Area of Science:
- Clinical Informatics
- Health Services Research
- Biostatistics
Background:
- Electronic health record (EHR) systems offer potential for novel interventions influencing clinical decision-making.
- EHR interventions require efficient randomized controlled trials (RCTs) to assess effectiveness, safety, and costs.
- Designing RCTs for EHR interventions presents unique challenges compared to traditional clinical trials.
Purpose of the Study:
- To outline key considerations for designing and conducting RCTs of EHR interventions.
- To provide guidance on methodological choices impacting the validity and efficiency of EHR intervention trials.
- To ensure robust evaluation of EHR-based clinical decision support and its impact on healthcare delivery.
Main Methods:
- Discusses the critical choice of randomization unit (patient, encounter, clinician, clinical unit) and its implications for contamination and confounder control.
- Addresses the timing of computational assessment components (e.g., predictive algorithms) relative to randomization (pre- or post-randomization).
- Highlights the need to consider subgroup heterogeneity when computational components are applied post-randomization.
- Emphasizes institutional review board (IRB) review, informed consent, data and safety monitoring, and CONSORT reporting guidelines.
Main Results:
- Careful selection of randomization units balances contamination risks with confounder control.
- Pre- or post-randomization application of computational components affects trial design and analysis.
- Heterogeneity in subgroup effects necessitates specific analytic approaches and sample size considerations.
- RCTs of EHR interventions may not always require patient-level informed consent under minimal risk or quality improvement conditions.
Conclusions:
- Effective RCT design for EHR interventions hinges on strategic decisions regarding randomization units and computational components.
- Adherence to reporting standards like CONSORT, with extensions for pragmatic and cluster RCTs, is crucial for reproducibility.
- Robust trial conduct, including appropriate monitoring and ethical review, ensures reliable evidence for implementing EHR interventions.
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