Bariatric surgery does not reduce overall health care costs in the long term. Also, there is no evidence that any one type of surgery is more likely to reduce long-term health care costs. To assess the value of bariatric surgery, future studies should focus on the potential benefit of improved health and well-being of persons undergoing the procedure rather than on cost savings.
Background Bariatric surgery is the most effective weight loss treatment, yet few studies have reported on short- and long-term outcomes postsurgery. Methods Using claims data from seven Blue Cross/Blue Shield health plans serving seven states, we conducted a non-concurrent, matched cohort study. We followed 22,693 persons who underwent bariatric surgery during 2003–2007 and were enrolled at least 6 months before and after surgery. Using logistic regression, we compared serious and less serious adverse clinical outcomes, hospitalizations, planned procedures, and obesity-related co-morbidities between groups for up to 5 years. Results Relative to controls, surgery patients were more likely to experience a serious [odds ratio (OR) 1.9; 95% confidence interval (CI) 1.8–2.0] or less serious (OR 2.5, CI 2.4–2.7) adverse clinical outcome or hospitalization (OR 1.3, CI 1.3–1.4) at 1 year postsurgery. The risk remained elevated until 4 years postsurgery for serious events and 5 years for less serious outcomes and hospitalizations. Some complication rates were lower for patients undergoing laparoscopic surgery. Planned procedures, such as skin reduction, peaked in postsurgery year 2 but remained elevated through year 5. Surgery patients had a 55% decreased risk of obesity-related co-morbidities, such as type 2 diabetes, in the first year postsurgery, which remained low throughout the study (year 5: OR 0.4, CI 0.4–0.5). Conclusions While bariatric surgery is associated with a higher risk of adverse clinical outcomes compared to controls, it also substantially decreased obesity-related co-morbidities during the 5-year follow-up.
Obesity is underdiagnosed, hampering system-based health promotion and research. Our objective was to develop and validate a claims-based risk model to identify obese persons using medical diagnosis and prescription records. We conducted a cross-sectional analysis of de-identified claims data from enrollees of 3 Blue Cross Blue Shield plans who completed a health risk assessment capturing height and weight. The final sample of 71,057 enrollees was randomly split into 2 subsamples for development and validation of the obesity risk model. Using the Johns Hopkins Adjusted Clinical Groups case-mix/predictive risk methodology, we categorized study members' diagnosis (ICD) codes. Logistic regression was used to determine which claims-based risk markers were associated with a body mass index (BMI) > or = 35 kg/m(2). The sensitivities of the scores > or =90(th) percentile to detect obesity were 26% to 33%, while the specificities were >90%. The areas under the receiver operator curve ranged from 0.67 to 0.73. In contrast, a diagnosis of obesity or an obesity medication alone had very poor sensitivity (10% and 1%, respectively); the obesity risk model identified an additional 22% of obese members. Varying the percentile cut-point from the 70(th) to the 99(th) percentile resulted in positive predictive values ranging from 15.5 to 59.2. An obesity risk score was highly specific for detecting a BMI > or = 35 kg/m(2) and substantially increased the detection of obese members beyond a provider-coded obesity diagnosis or medication claim. This model could be used for obesity care management and health promotion or for obesity-related research.
Several prescription medications are approved to treat obesity, yet little is known about their use in the United States. Our objective was to describe recent trends and patterns of obesity reduction medication use in an insured US population. From among ∼4.2 million persons enrolled in two Blue Cross and Blue Shield plans, we obtained all medical and pharmacy claims for 86,804 persons who took an obesity reduction medication anytime during 2002–2005. Overall, obesity reduction medication use decreased significantly over time from 1% in 2002 to 0.7% in 2005 (P for trend <0.001), which was most notable for the newer medications (orlistat and sibutramine). Few (range: 11–18%) used these medications longer than 3 months regardless of whether they were Federal Drug Administration (FDA)‐approved for long‐term use or not. More than half (57%) of obesity reduction medication users also took narcotics and 38% took antidepressants. Few sympathomimetic users had potential serious contraindications prior to medication initiation, including cardiovascular diseases (2.4%), schizophrenia (2.5%), and age >65 (1.2%). Despite the high prevalence of obesity, obesity reduction medication use was low and decreased significantly from 2002 through 2005. Prescribers of these agents should be aware of approved durations, potential contraindications, and consider screening for depression and substance abuse.
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