Eva Tseng1, Raquel C Greer2,3, Paul O'Rourke4, Hsin-Chieh Yeh2,3,5, Maura M McGuire2,6, Jeanne M Clark2,3,5, Nisa M Maruthur2,3,5. 1. Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA. etseng3@jhmi.edu. 2. Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA. 3. Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA. 4. Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA. 5. Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. 6. Johns Hopkins Community Physicians, Baltimore, MD, USA.
Abstract
BACKGROUND: Prediabetes affects 86 million US adults, but primary care providers' (PCPs') knowledge, practices, attitudes and beliefs toward prediabetes are unclear. OBJECTIVE: Assess PCPs' (1) knowledge of risk factors that should prompt prediabetes screening, laboratory criteria for diagnosing prediabetes and guidelines for management of prediabetes; (2) management practices around prediabetes; (3) attitudes and beliefs about prediabetes. DESIGN: Self-administered written survey of PCPs. PARTICIPANTS: One hundred forty of 155 PCPs (90%) attending an annual provider retreat for academically affiliated multispecialty practices in the mid-Atlantic region. MAIN MEASURES: Descriptive analyses of survey questions on knowledge, management, and attitudes and beliefs related to prediabetes. Multivariate logistic regression was used to determine the association between provider characteristics (gender, race/ethnicity, years since training, specialty and provider type) and knowledge, management, and attitudes and beliefs about prediabetes. KEY RESULTS: Six percent of PCPs correctly identified all of the risk factors that should prompt prediabetes screening. Only 17% of PCPs correctly identified the laboratory parameters for diagnosing prediabetes based on both fasting glucose and hemoglobin A1c. Nearly 90% of PCPs reported close follow-up (within 6 months) of patients with prediabetes. Few PCPs (11%) selected referral to a behavioral weight loss program as the recommended initial management approach to prediabetes. PCPs agreed that patient-related factors are important barriers to lifestyle change and metformin use. Provider characteristics were generally not associated with knowledge, management, attitudes and beliefs about prediabetes in multivariate analyses. CONCLUSIONS: Addressing gaps in knowledge and the underutilization of behavioral weight loss programs in prediabetes are two essential areas where PCPs could take a lead in curbing the diabetes epidemic.
BACKGROUND: Prediabetes affects 86 million US adults, but primary care providers' (PCPs') knowledge, practices, attitudes and beliefs toward prediabetes are unclear. OBJECTIVE: Assess PCPs' (1) knowledge of risk factors that should prompt prediabetes screening, laboratory criteria for diagnosing prediabetes and guidelines for management of prediabetes; (2) management practices around prediabetes; (3) attitudes and beliefs about prediabetes. DESIGN: Self-administered written survey of PCPs. PARTICIPANTS: One hundred forty of 155 PCPs (90%) attending an annual provider retreat for academically affiliated multispecialty practices in the mid-Atlantic region. MAIN MEASURES: Descriptive analyses of survey questions on knowledge, management, and attitudes and beliefs related to prediabetes. Multivariate logistic regression was used to determine the association between provider characteristics (gender, race/ethnicity, years since training, specialty and provider type) and knowledge, management, and attitudes and beliefs about prediabetes. KEY RESULTS: Six percent of PCPs correctly identified all of the risk factors that should prompt prediabetes screening. Only 17% of PCPs correctly identified the laboratory parameters for diagnosing prediabetes based on both fasting glucose and hemoglobin A1c. Nearly 90% of PCPs reported close follow-up (within 6 months) of patients with prediabetes. Few PCPs (11%) selected referral to a behavioral weight loss program as the recommended initial management approach to prediabetes. PCPs agreed that patient-related factors are important barriers to lifestyle change and metformin use. Provider characteristics were generally not associated with knowledge, management, attitudes and beliefs about prediabetes in multivariate analyses. CONCLUSIONS: Addressing gaps in knowledge and the underutilization of behavioral weight loss programs in prediabetes are two essential areas where PCPs could take a lead in curbing the diabetes epidemic.
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