Literature DB >> 30764659

A review of the impact of utilising electronic medical records for clinical research recruitment.

Yan See Lai1,2,3, Janyne Dawn Afseth1.   

Abstract

INTRODUCTION: Recruitment is an important aspect of clinical research, as poor recruitment could undermine the scientific value of a trial or delay the development process of new treatments. The development of electronic medical records provides a new way to identify potential participants for trials by matching the eligibility criteria with patients' data within electronic medical records.
METHODS: A literature search was performed to examine the effectiveness and efficiency of the electronic medical record recruitment method using MEDLINE, PubMed, PubMed Central, CINAHL Plus with Full Text, ScienceDirect and Cochrane Library databases. These searches generated 11 articles that met the eligibility criteria, and handsearching reference lists generated two additional articles bringing the total number of articles to 13. These articles were subjected to critical appraisal utilising the Effective Public Health Practice Project tool.
RESULTS: Out of the 13 included articles, 11 provided quantitative data on recruitment effectiveness while seven articles provided quantitative data on recruitment efficiency. The automation in screening and patient identification by using alerts, a notification system, to notify research staff of a potential participant, was observed to contribute to higher recruitment yield and reduced workload due to its specificity on participant screening. The use of electronic medical record alerts was found to be associated with better recruitment outcomes when they were sent to dedicated research staff rather than physicians. Using electronic medical records for recruitment was found to be effective due to its capability for patient identification outside working hours and fast processing time, which was particularly useful for clinical trials in acute conditions. Several challenges may hinder the impact of the electronic medical record recruitment method, including the lack of conformity of clinical trial eligibility criteria and electronic medical record data structure and missing data. 'Alert fatigue' could also impact on the effectiveness of this method in the long term.
CONCLUSION: The results from this review supports electronic medical record being an effective and efficient method for clinical trial recruitment. Recommendations were made in order to maximise the potential of the electronic medical record recruitment method and also for future research in order to improve the quality of evidence to support this strategy for recruitment.

Entities:  

Keywords:  Electronic medical record; clinical research; clinical trial; electronic health record; recruitment

Mesh:

Year:  2019        PMID: 30764659     DOI: 10.1177/1740774519829709

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  10 in total

1.  Electronic Health Record-Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study.

Authors:  Janelle W Coughlin; Lindsay M Martin; Di Zhao; Attia Goheer; Thomas B Woolf; Katherine Holzhauer; Harold P Lehmann; Michelle R Lent; Kathleen M McTigue; Jeanne M Clark; Wendy L Bennett
Journal:  J Med Internet Res       Date:  2022-06-10       Impact factor: 7.076

2.  Utilization of a Best Practice Alert (BPA) at Point-of-Care for Recruitment into a US-Based Autism Research Study.

Authors:  Andrea R Simon; Kelli L Ahmed; Danica L Limon; Gabrielle F Duhon; Gabriela Marzano; Robin P Goin-Kochel
Journal:  J Autism Dev Disord       Date:  2022-01-28

3.  Using a health information technology survey to explore the availability of addiction treatment data in the electronic health records: A National Drug Abuse Treatment Clinical Trials Network study.

Authors:  Li-Tzy Wu; Elizabeth H Payne; Kimberly Roseman; Ashley Case; Casey Nelson; Robert Lindblad
Journal:  J Subst Abuse Treat       Date:  2020-03

4.  Shared-Task Worklists Improve Clinical Trial Recruitment Workflow in an Academic Emergency Department.

Authors:  Kevin S Naceanceno; Stacey L House; Phillip V Asaro
Journal:  Appl Clin Inform       Date:  2021-04-07       Impact factor: 2.342

Review 5.  Applications of artificial intelligence in drug development using real-world data.

Authors:  Zhaoyi Chen; Xiong Liu; William Hogan; Elizabeth Shenkman; Jiang Bian
Journal:  Drug Discov Today       Date:  2020-12-24       Impact factor: 7.851

6.  Clinical Workflow and Substance Use Screening, Brief Intervention, and Referral to Treatment Data in the Electronic Health Records: A National Drug Abuse Treatment Clinical Trials Network Study.

Authors:  Li-Tzy Wu; Elizabeth H Payne; Kimberly Roseman; Carla Kingsbury; Ashley Case; Casey Nelson; Robert Lindblad
Journal:  EGEMS (Wash DC)       Date:  2019-08-01

7.  Use of a Best Practice Alert (BPA) to Increase Diversity Within a US-Based Autism Research Cohort.

Authors:  Gabrielle F Duhon; Andrea R Simon; Danica L Limon; Kelli L Ahmed; Gabriela Marzano; Robin P Goin-Kochel
Journal:  J Autism Dev Disord       Date:  2022-01-08

8.  Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis.

Authors:  Wendy L Bennett; Carolyn T Bramante; Scott D Rothenberger; Jennifer L Kraschnewski; Sharon J Herring; Michelle R Lent; Jeanne M Clark; Molly B Conroy; Harold Lehmann; Nickie Cappella; Megan Gauvey-Kern; Jody McCullough; Kathleen M McTigue
Journal:  J Med Internet Res       Date:  2021-05-27       Impact factor: 5.428

9.  Using a 3 stage process to create a consumer research contact list in a paediatric health setting: the PARTICIPATE project.

Authors:  Fenella J Gill; Catherine Pienaar; Tanya Jones
Journal:  Res Involv Engagem       Date:  2021-08-07

Review 10.  Realising the full potential of data-enabled trials in the UK: a call for action.

Authors:  Matthew R Sydes; Yolanda Barbachano; Louise Bowman; Tom Denwood; Andrew Farmer; Steph Garfield-Birkbeck; Martin Gibson; Martin C Gulliford; David A Harrison; Catherine Hewitt; Jennifer Logue; Will Navaie; John Norrie; Martin O'Kane; Jennifer K Quint; Jo Rycroft-Malone; Jonathan Sheffield; Liam Smeeth; Frank Sullivan; Juliet Tizzard; Paula Walker; John Wilding; Paula R Williamson; Martin Landray; Andrew Morris; Rhoswyn R Walker; Hywel C Williams; Janet Valentine
Journal:  BMJ Open       Date:  2021-06-16       Impact factor: 2.692

  10 in total

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