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Retrospective descriptive analysis of a managed care population with obesity.
- Source :
-
Current Medical Research & Opinion . Jan 2022, Vol. 38 Issue 1, p83-89. 7p. - Publication Year :
- 2022
-
Abstract
- To reveal the extent of obesity in a single healthcare system and provide a blueprint for other health systems to perform similar analyses, this study describes characteristics and weight change patterns of patients classified with overweight and obesity at a large integrated delivery network (IDN) in the South-Central United States. A descriptive, observational, retrospective study was conducted using electronic medical records and claims data. Patients were ≥18 years old, body mass index (BMI) ≥27 kg/m2, and continuously enrolled in the IDN plan for ≥6 months before and ≥12 months after the index date. Demographics, comorbidities, BMI, and weight were collected. Weight changes were assessed annually, and anti-obesity medications (AOM) use was also captured. A total of 36,430 eligible patients were identified. A subset of 22,712 patients was continuously enrolled for the entire study period (mean age: 57.2) and were primarily white (83.3%) and commercially insured (54.3%). Most patients were categorized as overweight (40.1%) or obesity class I (32.5%) at baseline. At years 1 and 4 post-index, patients who maintained index weight (±3%) was 56.2% and 37.0%, respectively, whereas weight gain (≥3% increase) was 23.7% and 33.3%, respectively. AOM use (1.1%) primarily consisted of phentermine-hydrochloride (n = 114, 0.5%) and orlistat (n = 115, 0.5%). An increasing proportion of patients gained weight over time, combined with low AOM use, emphasizing the need for weight-loss interventions in this population. Findings from this study provide a foundation for health systems to perform similar analyses. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03007995
- Volume :
- 38
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Current Medical Research & Opinion
- Publication Type :
- Academic Journal
- Accession number :
- 154497636
- Full Text :
- https://doi.org/10.1080/03007995.2021.1991900