Literature DB >> 19717797

Electronic screening improves efficiency in clinical trial recruitment.

Samir R Thadani1, Chunhua Weng, J Thomas Bigger, John F Ennever, David Wajngurt.   

Abstract

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>or=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.

Entities:  

Mesh:

Year:  2009        PMID: 19717797      PMCID: PMC3002129          DOI: 10.1197/jamia.M3119

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  4 in total

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Authors:  G Hripcsak; J J Cimino; S Sengupta
Journal:  Proc AMIA Symp       Date:  1999

2.  Effect of a clinical trial alert system on physician participation in trial recruitment.

Authors:  Peter J Embi; Anil Jain; Jeffrey Clark; Susan Bizjack; Richard Hornung; C Martin Harris
Journal:  Arch Intern Med       Date:  2005-10-24

3.  Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial: design and methods.

Authors:  John B Buse; J Thomas Bigger; Robert P Byington; Lawton S Cooper; William C Cushman; William T Friedewald; Saul Genuth; Hertzel C Gerstein; Henry N Ginsberg; David C Goff; Richard H Grimm; Karen L Margolis; Jeffrey L Probstfield; Denise G Simons-Morton; Mark D Sullivan
Journal:  Am J Cardiol       Date:  2007-04-16       Impact factor: 2.778

4.  Physicians' perceptions of an electronic health record-based clinical trial alert approach to subject recruitment: a survey.

Authors:  Peter J Embi; Anil Jain; C Martin Harris
Journal:  BMC Med Inform Decis Mak       Date:  2008-04-02       Impact factor: 2.796

  4 in total
  69 in total

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Authors:  Shreya Chakrabarti; Anando Sen; Vojtech Huser; Gregory W Hruby; Alexander Rusanov; David J Albers; Chunhua Weng
Journal:  J Healthc Inform Res       Date:  2017-06-08

2.  Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.

Authors:  Yuan Luo; Özlem Uzuner; Peter Szolovits
Journal:  Brief Bioinform       Date:  2016-02-05       Impact factor: 11.622

3.  Does an interactive trust-enhanced electronic consent improve patient experiences when asked to share their health records for research? A randomized trial.

Authors:  Christopher A Harle; Elizabeth H Golembiewski; Kiarash P Rahmanian; Babette Brumback; Janice L Krieger; Kenneth W Goodman; Arch G Mainous; Ray E Moseley
Journal:  J Am Med Inform Assoc       Date:  2019-07-01       Impact factor: 4.497

4.  A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.

Authors:  Casey Lynnette Overby; Jyotishman Pathak; Omri Gottesman; Krystl Haerian; Adler Perotte; Sean Murphy; Kevin Bruce; Stephanie Johnson; Jayant Talwalkar; Yufeng Shen; Steve Ellis; Iftikhar Kullo; Christopher Chute; Carol Friedman; Erwin Bottinger; George Hripcsak; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2013-07-09       Impact factor: 4.497

5.  A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.

Authors:  C Weng; Y Li; P Ryan; Y Zhang; F Liu; J Gao; J T Bigger; G Hripcsak
Journal:  Appl Clin Inform       Date:  2014-05-07       Impact factor: 2.342

6.  EliXR: an approach to eligibility criteria extraction and representation.

Authors:  Chunhua Weng; Xiaoying Wu; Zhihui Luo; Mary Regina Boland; Dimitri Theodoratos; Stephen B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-07-31       Impact factor: 4.497

7.  Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.

Authors:  Hansi Zhang; Zhe He; Xing He; Yi Guo; David R Nelson; François Modave; Yonghui Wu; William Hogan; Mattia Prosperi; Jiang Bian
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

8.  A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria.

Authors:  Zhihui Luo; Riccardo Miotto; Chunhua Weng
Journal:  J Biomed Inform       Date:  2012-07-27       Impact factor: 6.317

9.  Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Authors:  Amber Stubbs; Michele Filannino; Ergin Soysal; Samuel Henry; Özlem Uzuner
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

10.  Challenges and opportunities using online portals to recruit diverse patients to behavioral trials.

Authors:  Amir Alishahi Tabriz; Patrice Jordan Fleming; Yongyun Shin; Ken Resnicow; Resa M Jones; Susan A Flocke; Deirdre A Shires; Sarah T Hawley; David Willens; Jennifer Elston Lafata
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

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