Electronic Screening Improves Efficiency in Clinical Trial Recruitment

This study evaluated the performance of an electronic screening (E-screening) method and used it to recruit patients for the NIH sponsored ACCORD trial. Out of the 193 E-screened patients, 125 met the age criterion (“age ≥ 40”). For all of these 125 patients, the performance of E-screening was compa...

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Bibliographic Details
Published in:Journal of the American Medical Informatics Association : JAMIA 2009-11, Vol.16 (6), p.869-873
Main Authors: Thadani, Samir R., Weng, Chunhua, Bigger, J. Thomas, Ennever, John F., Wajngurt, David
Format: Article
Language:English
Subjects:
Adult
Data Mining
Diabetes Mellitus, Type 2
Eligibility Determination
Humans
Information Storage and Retrieval
Medical Records Systems, Computerized
New York City
Original Investigation: Case Report
Patient Selection
Predictive Value of Tests
Sensitivity and Specificity
Workflow
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Summary:This study evaluated the performance of an electronic screening (E-screening) method and used it to recruit patients for the NIH sponsored ACCORD trial. Out of the 193 E-screened patients, 125 met the age criterion (“age ≥ 40”). For all of these 125 patients, the performance of E-screening was compared with investigator review. E-screening achieved a negative predictive accuracy of 100% (95% CI: 98–100%), a positive predictive accuracy of 13% (95% CI: 6–13%), a sensitivity of 100% (95% CI: 45–100%), and a specificity of 84% (95% CI: 82–84%). The method maximized the use of a patient database query (i.e., excluded ineligible patients with a 100% accuracy and automatically assembled patient information to facilitate manual review of only patients who were classified as “potentially eligible” by E-screening) and significantly reduced the screening burden associated with the ACCORD trial.
ISSN:1067-5027
1527-974X
1527-974X
DOI:10.1197/jamia.M3119