Literature DB >> 33677529

Using a population health management approach to enroll participants in a diabetes prevention trial: reach outcomes from the PREDICTS randomized clinical trial.

Kathryn E Wilson1,2, Tzeyu L Michaud3,4, Fabio A Almeida3,4, Robert J Schwab3,5, Gwenndolyn C Porter3, Kathryn H Aquilina3, Fabiana A Brito3,4, Caitlin A Golden3, Emily V Dressler6, Carol A Kittel6, Lea N Harvin6, Ashley E Boggs7, Jeffrey A Katula7, Paul A Estabrooks3,4.   

Abstract

Population health management (PHM) strategies to address diabetes prevention have the potential to engage large numbers of at-risk individuals in a short duration. We examined a PHM approach to recruit participants to a diabetes prevention clinical trial in a metropolitan health system. We examined reach and representativeness and assessed differences from active and passive respondents to recruitment outreach, and participants enrolled through two clinical screening protocols. The PHM approach included an electronic health record (EHR) query, physician review of identified patients, letter invitation, and telephone follow-up. Data describe the reach and representativeness of potential participants at multiple stages during the recruitment process. Subgroup analyses examined proportional reach, participant differences based on passive versus active recruitment response, and clinical screening method used to determine diabetes risk status. The PHM approach identified 10,177 potential participants to receive a physician letter invitation, 60% were contacted by telephone, 2,796 (46%) completed telephone screening, 1,961 were eligible from telephone screen, and 599 were enrolled in 15 months. Accrual was unaffected by shifting clinical screening protocols despite the increase in participant burden. Relative to census data, study participants were more likely to be obese, female, older, and Caucasian. Relative to the patient population, enrolled participants were less likely to be Black and were older. Active respondents were more likely to have a higher income than passive responders. PHM strategies have the potential to reach a large number of participants in a relatively short period, though concerted efforts are needed to increase participant diversity.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.

Entities:  

Keywords:  Diabetes prevention program; EHR; Feasibility; Implementation; Representativeness

Year:  2021        PMID: 33677529     DOI: 10.1093/tbm/ibab010

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  3 in total

1.  Feasibility and Comparative Effectiveness for the Delivery of the National Diabetes Prevention Program through Cooperative Extension in Rural Communities.

Authors:  Anna M Gorczyca; Richard A Washburn; Patricia Smith; Robert N Montgomery; Lyndsie M Koon; Mary Hastert; Kameron B Suire; Joseph E Donnelly
Journal:  Int J Environ Res Public Health       Date:  2022-08-11       Impact factor: 4.614

2.  Reach of a Fully Digital Diabetes Prevention Program in Health Professional Shortage Areas.

Authors:  Lisa A Auster-Gussman; Kimberly G Lockwood; Sarah A Graham; Natalie Stein; OraLee H Branch
Journal:  Popul Health Manag       Date:  2022-02-24       Impact factor: 2.290

3.  Costing a population health management approach for participant recruitment to a diabetes prevention study.

Authors:  Tzeyu L Michaud; Kathryn Wilson; Fabiana Silva; Fabio Almeida; Jeff Katula; Paul Estabrooks
Journal:  Transl Behav Med       Date:  2021-10-23       Impact factor: 3.046

  3 in total

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