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The use of electronic medical records for recruitment in clinical trials: findings from the Lifestyle Intervention for Treatment of Diabetes trial

Overview of attention for article published in Trials, October 2016
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Title
The use of electronic medical records for recruitment in clinical trials: findings from the Lifestyle Intervention for Treatment of Diabetes trial
Published in
Trials, October 2016
DOI 10.1186/s13063-016-1631-7
Pubmed ID
Authors

Valery S. Effoe, Jeffrey A. Katula, Julienne K Kirk, Carolyn F Pedley, Linda Y. Bollhalter, W. Mark Brown, Margaret R. Savoca, Stedman T. Jones, Janet Baek, Alain G. Bertoni, the LIFT Diabetes Research Team

Abstract

The use of the electronic medical record (EMR) system in recruitment in clinical trials has the potential for providing a very reliable and cost-effective recruiting methodology which may improve participant recruitment in clinical trials. We examined a recruitment approach centered on the use of the EMR, as well as other traditional methods, in the Lifestyle Intervention for Treatment of Diabetes (LIFT Diabetes) trial. LIFT Diabetes is a randomized controlled trial designed to investigate the effects of two contrasting interventions on cardiovascular disease risk: a community-based intensive lifestyle program aimed at achieving weight loss and a clinic-based enhanced diabetes self-management program. Eligible participants were overweight/obese (body mass index, BMI ≥25 kg/m(2)) patients with type 2 diabetes who were aged 21 years or older. Recruitment strategies included the use of the EMR system (primary), direct referrals, media advertisements, and community screenings. A total of 1102 telephone screens were conducted, resulting in randomization of 260 participants (61.5 % from EMR, mean age 56.3 years, 66.2 % women, 48.1 % non-Hispanic blacks) over a 21-month period, with a yield of 23.6 %. Recruitment yields differed by recruitment method, with referrals having the highest yield (27.5 %). A history of cardiovascular disease was the main health reason for exclusion from the study (16.5 %). An additional 8.9 % were excluded for BMI <25 kg/m(2) (<27 kg/m(2) for insulin users), 5.4 % could not exercise, 5.2 % had an HbA1c >11 %, and 34.9 % were excluded for other non-medical reasons. Exclusion criteria did not appear to differentially affect enrollment in terms of race or ethnicity. Future clinical studies should tailor their recruitment strategies based on the participant demographics of interest. Efficient methods such as using the EMR system and referrals should be prioritized over labor-intensive, low-yielding methods such as community screenings and mass mailings. ClinicalTrials.gov: NCT01806727 . Registered on 5 March 2013.

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Geographical breakdown

Country Count As %
Ghana 1 <1%
Unknown 223 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 14%
Student > Master 28 13%
Researcher 23 10%
Student > Ph. D. Student 20 9%
Student > Doctoral Student 13 6%
Other 27 12%
Unknown 82 37%
Readers by discipline Count As %
Nursing and Health Professions 44 20%
Medicine and Dentistry 39 17%
Sports and Recreations 8 4%
Biochemistry, Genetics and Molecular Biology 7 3%
Psychology 7 3%
Other 32 14%
Unknown 87 39%