Disparities Seen in Weight Loss Drug Prescriptions, Fills

Socioeconomic factors and insurance type greatly influence the odds of a person with obesity receiving a prescription for a weight loss medication and subsequently filling it, new research finds.

The results come from a retrospective study of Florida and Ohio electronic health records of more than 50,000 adults with a body mass index (BMI) of ≥ 30 kg/m² who sought care for obesity from 2015 through June 2023. Only 8.0% overall had received prescriptions for weight loss medications and just 4.4% had filled them. Factors associated with lower likelihood of both prescription receipt and fills included male sex, Hispanic ethnicity, Medicaid, traditional Medicare, and Medicare Advantage insurance types.

The fill rate increased to 26% in 2022-2023 after the newer glucagon-like peptide 1 (GLP-1) agonists became available, but the identified disparities persisted throughout, study author Hamlet Gasoyan, PhD, told Medscape Medical News. “Things are changing, but this study provides a very good picture of who’s getting prescriptions and the implications for policy decisions.”

Gasoyan, of the Center for Value-Based Care Research at the Cleveland Clinic, Cleveland, Ohio, noted that Medicare doesn’t currently cover antiobesity medications nor do most Medicaid programs (neither Florida’s nor Ohio’s do), but there is now at least one bill in Congress to change that. “Medicare and other government payers are currently facing important policy decisions about antiobesity medication coverage. I think they should consider how their policies could impact existing inequalities in obesity care.”

Another noteworthy finding, Gasoyan said, is that “despite all the recent hype, the real data shows these medications are underutilized and probably will remain so.”

Asked to comment, David B. Sarwer, PhD, Director of the Center for Obesity Research and Education at Temple University, Philadelphia, Pennsylvania, told Medscape Medical News, “there’s a tremendous amount of enthusiasm in the obesity treatment community that these newer medications have the potential to be game-changers. I think what this study shows us, as does other work from this group and others, is that we still have some significant issues around access to care and long-term engagement with these medications that we need to address for them to realize their full potential.” 

Sarwer acknowledged, as did Gasoyan, that the study timing is a limitation and more data will need to be collected prospectively with the new incretin drugs. As of now, though, “These medications are very expensive. While there are some insurance plans that are offering payment for them, many are not. Until we wrestle that to the ground there are always going to be questions about whether these medications are getting to the people who need them the most. I think one of the highlights of this paper is it reminds us that obesity is a disease that differentially impacts persons from underserved groups.”

Moreover, Sarwer noted, “In this day and age, many physicians don’t have a lot of time to spend with individual patients. Conversations around weight can be challenging and often very emotional for patients. I’m not sure we’ve trained physicians how to have productive, targeted conversations that lead to effective use of a weight-loss intervention. Maybe in some ways that’s what we’re seeing here.” 

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,” 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 ant-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. 

Gasoyan told Medscape Medical News, “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.” 

Gasoyan had no disclosures. Sarwer received grant funding from the National Institutes of Health and declared having consulting relationships with NovoNordisk and Twenty30 Health. 

Miriam E. Tucker is a freelance journalist based in the Washington DC area. She is a regular contributor to Medscape, with other work appearing in the Washington Post, NPR’s Shots blog, and Diatribe. She is on X (formerly Twitter) @MiriamETucker.