Disparities Seen in Both Prescriptions and Fills
The 50,678 study subjects all not only met BMI criteria (≥ 30 kg/m2) but also attended at least one weight management program (n = 48,711) and/or received a weight-loss medication prescription (n = 4047). “We know BMI isn’t a perfect measure of obesity, so we specifically looked at where the patient or provider had identified excess weight as an issue and wanted to do something about it…You would expect that in this group the use of antiobesity medications would be high, but it wasn’t, unfortunately,” Dr. Gasoyan commented.
Participants had a mean BMI of 38 kg/m2 and mean age 50 years. Slightly more than half (54%) were women, 66% were White individuals, 24% Black individuals, and 5.3% Hispanic individuals. A majority (56%) had private insurance, and 41% had diabetes. Mean follow-up time was 4.7 years.
The main measures were prescriptions for naltrexone-bupropion, orlistat, phentermine-topiramate, 3.0 mg liraglutide, 2.4 mg semaglutide, and a fill for one of those during the study follow-up.
Overall, 8.0% had a new anti-obesity medication prescription, and of those, 55% had at least one documented fill of the prescription. Among the fills, 39% were for naltrexone-buproprion, 29% for phentermine-topiramate, 19% for semaglutide, 11% for liraglutide, and 1.2% for orlistat.
In the multivariable model, receipt of an antiobesity medication prescription was significantly less likely among Black patients (adjusted odds ratio, 0.68), Hispanic individuals (0.72), and those from other racial or ethnic backgrounds (0.70) than among White patients. Men had lower odds than women (0.38).
Compared with privately insured patients, significantly lower odds of receiving prescriptions were seen in those with Medicaid (0.44), traditional Medicare (0.35), Medicare Advantage (0.36), and self-paying (0.65) and other insurance types (0.53). Those in the highest quartile of economic disadvantage also had lower antiobesity medication prescription odds (0.81).
Also associated with lower prescription odds were younger age, higher age-adjusted Charlson comorbidity score, presence of diabetes diagnosis, and a history of myocardial infarction or heart failure.
Factors associated with lower odds of filling antiobesity medication prescriptions included Hispanic ethnicity vs White ethnicity (0.51) but not Black race. Compared with private insurance, lower odds of filling the prescriptions were seen among those with Medicaid (0.41), traditional Medicare (0.38), and Medicare Advantage (0.37).
Over the study period, compared with naltrexone-buproprion, phentermine-topiramate had higher odds of being filled (1.27), while liraglutide (0.61) and orlistat (0.11) had lower odds, and semaglutide didn’t differ significantly (0.90).
Older age, female sex, and the presence of diabetes diagnosis were associated with higher odds of prescription fills, while deprivation quartile, history of myocardial infarction, history of heart failure, and age-adjusted Charlson comorbidity score were not significantly associated with medication fill.
Dr. Gasoyan told this news organization, “This study is unique in that we were able to look at patterns of use and barriers at several stages…We just recently published another study where we found patients weren’t often taking these medications long-term. So, patients are facing challenges on receiving obesity pharmacotherapy at several stages. …Hopefully these data will highlight the issues and inform future decisions. We see clear areas where we could obviously do better.”
Dr. Gasoyan had no disclosures. Dr. Sarwer received grant funding from the National Institutes of Health and declared having consulting relationships with NovoNordisk and Twenty30 Health.
A version of this article appeared on Medscape.com.