Back to Search
Start Over
EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites
- Source :
- Journal of the American Medical Informatics Association : JAMIA. 29(4)
- Publication Year :
- 2021
-
Abstract
- Objective The 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 Methods In 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. Results From 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. Conclusion The 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.
- Subjects :
- Response rate (survey)
education.field_of_study
medicine.medical_specialty
Computer science
business.industry
Eligible study
Population
Health Informatics
Health informatics
Research Personnel
United States
Clinical trial
Cohort Studies
National Institutes of Health (U.S.)
Research Design
Cohort
medicine
Electronic Health Records
Humans
Medical physics
Translational science
education
business
Service line
Algorithms
Subjects
Details
- ISSN :
- 1527974X
- Volume :
- 29
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of the American Medical Informatics Association : JAMIA
- Accession number :
- edsair.doi.dedup.....2836ecc4028a8b0c2398d96fd88c4ee3