• Stephanie B Wilhoit-Reeves, Laurel A G Sisler, Shannon E Aymes, Shiara M Ortiz-Pujols, Deborah S Porterfield, and Adam O Goldstein.
• Department of Family Medicine, University of North Carolina, Chapel Hill, North Carolina.
• Fam Med. 2020 Jun 1; 52 (6): 427-431.

Background And ObjectivesThe growing prevalence of obesity in the United States and globally highlights the need for innovative strategies to provide obesity treatment in primary care settings. This report describes and evaluates the Weight Management Program (WMP), an interprofessional program in an academic family medicine clinic delivering intensive behavioral therapy (IBT) following evidenced-based guidelines.MethodsWe extracted WMP participant health data from the electronic health record and evaluated retrospectively. Eligible participants completed at least four WMP visits and had a baseline weight, blood pressure, and hemoglobin A1c (HbA1c) recorded within 1 year prior to their first visit. Paired t tests were used to assess changes in, weight, HbA1c and systolic and diastolic blood pressures from baseline.ResultsWMP counseled 673 patients over 3,895 visits from September 2015 to June 2019. Of these, 186 met eligibility criteria (at least four visits), with a median of eight visits (mean=11.3, SD=8.1). Participants saw an average weight decrease during program participation of 9.7 lbs (P<.001), an average decrease in HbA1c of 0.2 points (P=.004), and an average blood pressure reduction of 2.8 mmHg systolic (P=.002) and 1.9 mmHg diastolic (P=.03). One-third of participants (n=60) achieved clinically significant weight loss (>5%) at 18 months. The program has become financially sustainable through billing for preventive counseling services and a $125 out-of-pocket enrollment fee.ConclusionsWMP provides one model for primary care practices to develop a financially sustainable and evidence-based behavioral therapy weight management program for their patients with obesity. Future work will include assessment of longer-term program benefits, quality metrics, and health care costs.

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