James W Keck1, Karen L Roper2, Laura B Hieronymus3, Alisha R Thomas4, Zhengyuan Huang5, Philip M Westgate5, John L Fowlkes6, Roberto Cardarelli2. 1. Department of Family and Community Medicine, University of Kentucky College of Medicine, Lexington, Kentucky; Department of Preventive Medicine and Environmental Health, University of Kentucky College of Public Health, Lexington, Kentucky. Electronic address: james.keck@uky.edu. 2. Department of Family and Community Medicine, University of Kentucky College of Medicine, Lexington, Kentucky. 3. University of Kentucky Barnstable Brown Diabetes Center, Lexington, Kentucky; University of Kentucky College of Nursing, Lexington, Kentucky. 4. Department of Preventive Medicine and Environmental Health, University of Kentucky College of Public Health, Lexington, Kentucky. 5. Department of Biostatistics, University of Kentucky College of Public Health, Lexington, Kentucky. 6. University of Kentucky Barnstable Brown Diabetes Center, Lexington, Kentucky.
Abstract
INTRODUCTION: The Diabetes Prevention Program, an intensive lifestyle change program, effectively reduces the risk of progression from prediabetes to type 2 diabetes but is underutilized. An implementation study using formative research was undertaken to increase Diabetes Prevention Program referrals at a primary care clinic. STUDY DESIGN: A pragmatic, cluster randomized, mixed-methods study. SETTING/PARTICPANTS: Clusters were teams of primary care clinicians from 2 primary care clinics. The 3 intervention clusters had 8-11 clinicians, and the 3 control clusters had 7-20 clinicians. INTERVENTION: Implementation activities occurred from December 2017 to February 2019. The activities included targeted clinician education, a prediabetes clinician champion, and a custom electronic health record report identifying patients with prediabetes. MAIN OUTCOME MEASURES: The primary outcome was referral of patients with prediabetes to the institutional Diabetes Prevention Program. Study data, including patient demographic and clinical variables, came from electronic health record. Interviews with clinicians evaluated the implementation strategies. Generalized estimating equation analyses that accounted for multiple levels of correlation and interview content analysis occurred in 2019. RESULTS: Study clinicians cared for 2,992 patients with a prediabetes diagnosis or HbA1c indicative of prediabetes (5.7%-6.4%). Clinicians in the intervention clusters referred 6.9% (87 of 1,262) of patients with prediabetes to the Diabetes Prevention Program and those in the control clusters referred 1.5% (26 of 1,730). When adjusted for patient age, sex, race, HbA1c value, HbA1c test location, and insurance type, intervention clinicians had 3.85 (95% CI=0.40, 36.78) greater odds of referring a patient with prediabetes to the Diabetes Prevention Program. The 11 interviewed intervention clinicians had mixed opinions about the utility of the interventions, reporting the prediabetes clinic champion (n=7, 64%) and educational presentations (n=6, 55%) as most helpful. CONCLUSIONS: Intervention clinicians were more likely to make Diabetes Prevention Program referrals; however, the study lacked power to achieve statistical significance. Clinician interviews suggested that intervention components that triggered Diabetes Prevention Program referrals varied among clinicians.
RCT Entities:
INTRODUCTION: The Diabetes Prevention Program, an intensive lifestyle change program, effectively reduces the risk of progression from prediabetes to type 2 diabetes but is underutilized. An implementation study using formative research was undertaken to increase Diabetes Prevention Program referrals at a primary care clinic. STUDY DESIGN: A pragmatic, cluster randomized, mixed-methods study. SETTING/PARTICPANTS: Clusters were teams of primary care clinicians from 2 primary care clinics. The 3 intervention clusters had 8-11 clinicians, and the 3 control clusters had 7-20 clinicians. INTERVENTION: Implementation activities occurred from December 2017 to February 2019. The activities included targeted clinician education, a prediabetes clinician champion, and a custom electronic health record report identifying patients with prediabetes. MAIN OUTCOME MEASURES: The primary outcome was referral of patients with prediabetes to the institutional Diabetes Prevention Program. Study data, including patient demographic and clinical variables, came from electronic health record. Interviews with clinicians evaluated the implementation strategies. Generalized estimating equation analyses that accounted for multiple levels of correlation and interview content analysis occurred in 2019. RESULTS: Study clinicians cared for 2,992 patients with a prediabetes diagnosis or HbA1c indicative of prediabetes (5.7%-6.4%). Clinicians in the intervention clusters referred 6.9% (87 of 1,262) of patients with prediabetes to the Diabetes Prevention Program and those in the control clusters referred 1.5% (26 of 1,730). When adjusted for patient age, sex, race, HbA1c value, HbA1c test location, and insurance type, intervention clinicians had 3.85 (95% CI=0.40, 36.78) greater odds of referring a patient with prediabetes to the Diabetes Prevention Program. The 11 interviewed intervention clinicians had mixed opinions about the utility of the interventions, reporting the prediabetes clinic champion (n=7, 64%) and educational presentations (n=6, 55%) as most helpful. CONCLUSIONS: Intervention clinicians were more likely to make Diabetes Prevention Program referrals; however, the study lacked power to achieve statistical significance. Clinician interviews suggested that intervention components that triggered Diabetes Prevention Program referrals varied among clinicians.
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