ArticleJournal of the American Medical Informatics Association : JAMIA2022
EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utilization of EHRs for clinical trials: a systematic review.BMC medical research methodology · 2024Pooled it
- Insights from the trial innovation network's initial consultation process.Journal of clinical and translational science · 2025Article
- Selecting trial centers using a standardized, automated site assessment survey instrument (SASI).Contemporary clinical trials · 2024Article
- Leveraging the Expertise of the CTSA Program to Increase the Impact and Efficiency of Clinical Trials.JAMA network open · 2023Article
- Approaches for enhancing the informativeness and quality of clinical trials: Innovations and principles for implementing multicenter trials from the Trial Innovation Network.Journal of clinical and translational science · 2023Article
- The Trial Innovation Network Liaison Team: building a national clinical and translational community of practice.Journal of clinical and translational science · 2023Article
- Research data warehouse best practices: catalyzing national data sharing through informatics innovation.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Selecting EHR-driven recruitment strategies: An evidence-based decision guide.Journal of clinical and translational science · 2022Article
- Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveThe Recruitment Innovation Center (RIC), partnering with the Trial Innovation Network and institutions in the National Institutes of Health-sponsored Clinical and Translational Science Awards (CTSA) Program, aimed to develop a service line to retrieve study population estimates from electronic health record (EHR) systems for use in selecting enrollment sites for multicenter clinical trials. Our goal was to create and field-test a low burden, low tech, and high-yield method. MATERIALS AND
methodsIn building this service line, the RIC strove to complement, rather than replace, CTSA hubs' existing cohort assessment tools. For each new EHR cohort request, we work with the investigator to develop a computable phenotype algorithm that targets the desired population. CTSA hubs run the phenotype query and return results using a standardized survey. We provide a comprehensive report to the investigator to assist in study site selection.
resultsFrom 2017 to 2020, the RIC developed and socialized 36 phenotype-dependent cohort requests on behalf of investigators. The average response rate to these requests was 73%. DISCUSSION: Achieving enrollment goals in a multicenter clinical trial requires that researchers identify study sites that will provide sufficient enrollment. The fast and flexible method the RIC has developed, with CTSA feedback, allows hubs to query their EHR using a generalizable, vetted phenotype algorithm to produce reliable counts of potentially eligible study participants.
conclusionThe RIC's EHR cohort assessment process for evaluating sites for multicenter trials has been shown to be efficient and helpful. The model may be replicated for use by other programs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.