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SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US
Disclosure: K. Ezendu: Employee; Self; Eli Lilly & Company. C.K. Choong: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. M. Brown: Employee; Self; Eli Lilly & Company. R. Malik: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & C...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555360/ http://dx.doi.org/10.1210/jendso/bvad114.112 |
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author | Ezendu, Kyrian Choong, Casey Kar-Chan Brown, Madeline Malik, Raleigh Hankosky, Emily R |
author_facet | Ezendu, Kyrian Choong, Casey Kar-Chan Brown, Madeline Malik, Raleigh Hankosky, Emily R |
author_sort | Ezendu, Kyrian |
collection | PubMed |
description | Disclosure: K. Ezendu: Employee; Self; Eli Lilly & Company. C.K. Choong: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. M. Brown: Employee; Self; Eli Lilly & Company. R. Malik: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. E.R. Hankosky: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. Background: The prevalence of obesity and overweight is high and growing in the US adult population. Current trends in diagnosis and treatment with anti-obesity medications (AOMs) of obesity or overweight are unknown. Objectives: To describe obesity and overweight diagnosis rates, AOM prescribing rates, and AOM fill rates in AOM-eligible adults from 2016 to 2021. Methods: Separate cohorts of AOM-eligible adults (18-80 years) were constructed from Optum’s de-identified Market Clarity Data for each year from 2016 to 2021. AOM-eligible individuals were defined as adults with obesity (≥1 body mass index (BMI) value ≥30 kg/m(2)) or adults with overweight (≥1 BMI 27 - <30 kg/m(2)) and ≥1 obesity-related complication (ORC) including type 2 diabetes, hypertension, obstructive sleep apnea, dyslipidemia, and cardiovascular diseases. Obesity or overweight diagnosis rates in each cohort (2016-2021) were determined as the percentage of adults with obesity or overweight (as determined by BMI in the electronic health record (EHR)), respectively, who had a corresponding ICD-10 diagnosis in claims or EHR. The prescribing or fill rate of AOMs (i.e., phentermine-topiramate, lorcaserin, orlistat, naltrexone-bupropion, liraglutide, and semaglutide) was determined as the percentage of AOM-eligible members with a written prescription of an AOM in the EHR or at least one filled AOM prescription based on pharmacy claims in each year, respectively. Results: There were between 1,606,593 to 2,277,415 AOM-eligible adults constituting each cohort. The cohorts had similar distributions for age, gender, race, BMI, and insurance type. The obesity diagnosis rate increased from 39.4% in 2016 to 57.2% in 2021, with the diagnosis rate in claims only at 33.5% in 2016 and 47.3% in 2021. The overweight diagnosis rate rose from 18.1% in 2016 to 31.2% in 2021, with the claims-based rate at 15.4% in 2016 and 29.2% in 2021. The prescribing rate for AOMs was low, ranging from 0.4% to 0.5% across all years. Similarly, the fill rates for AOMs rose from 0.4% in 2016 to 0.6% in 2021. From 2016 to 2021, the prescribing and fill rates for incretin AOMs (i.e., liraglutide and semaglutide) doubled (from 0.1% to 0.2%) and quadrupled (from 0.1% to 0.4%), respectively. Conclusions: Despite some increases in recent years, obesity and overweight diagnosis rates remain low, suggesting a significant clinical care gap. Even in the most recent year, less than 3 of 5 people with obesity received an official diagnosis and less than half received a claims-based diagnosis. The overall obesity and overweight diagnoses were higher than reported in claims, signaling a gap in reimbursement. AOM prescribing and filling remained consistently low, with less than 7 in 1000 AOM-eligible adults receiving or filling AOM prescriptions. The clinical care gap for overweight and obesity is substantial, needing effective measures to reduce barriers for obesity care. Presentation: Saturday, June 17, 2023 |
format | Online Article Text |
id | pubmed-10555360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105553602023-10-06 SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US Ezendu, Kyrian Choong, Casey Kar-Chan Brown, Madeline Malik, Raleigh Hankosky, Emily R J Endocr Soc Adipose Tissue, Appetite, & Obesity Disclosure: K. Ezendu: Employee; Self; Eli Lilly & Company. C.K. Choong: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. M. Brown: Employee; Self; Eli Lilly & Company. R. Malik: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. E.R. Hankosky: Employee; Self; Eli Lilly & Company. Stock Owner; Self; Eli Lilly & Company. Background: The prevalence of obesity and overweight is high and growing in the US adult population. Current trends in diagnosis and treatment with anti-obesity medications (AOMs) of obesity or overweight are unknown. Objectives: To describe obesity and overweight diagnosis rates, AOM prescribing rates, and AOM fill rates in AOM-eligible adults from 2016 to 2021. Methods: Separate cohorts of AOM-eligible adults (18-80 years) were constructed from Optum’s de-identified Market Clarity Data for each year from 2016 to 2021. AOM-eligible individuals were defined as adults with obesity (≥1 body mass index (BMI) value ≥30 kg/m(2)) or adults with overweight (≥1 BMI 27 - <30 kg/m(2)) and ≥1 obesity-related complication (ORC) including type 2 diabetes, hypertension, obstructive sleep apnea, dyslipidemia, and cardiovascular diseases. Obesity or overweight diagnosis rates in each cohort (2016-2021) were determined as the percentage of adults with obesity or overweight (as determined by BMI in the electronic health record (EHR)), respectively, who had a corresponding ICD-10 diagnosis in claims or EHR. The prescribing or fill rate of AOMs (i.e., phentermine-topiramate, lorcaserin, orlistat, naltrexone-bupropion, liraglutide, and semaglutide) was determined as the percentage of AOM-eligible members with a written prescription of an AOM in the EHR or at least one filled AOM prescription based on pharmacy claims in each year, respectively. Results: There were between 1,606,593 to 2,277,415 AOM-eligible adults constituting each cohort. The cohorts had similar distributions for age, gender, race, BMI, and insurance type. The obesity diagnosis rate increased from 39.4% in 2016 to 57.2% in 2021, with the diagnosis rate in claims only at 33.5% in 2016 and 47.3% in 2021. The overweight diagnosis rate rose from 18.1% in 2016 to 31.2% in 2021, with the claims-based rate at 15.4% in 2016 and 29.2% in 2021. The prescribing rate for AOMs was low, ranging from 0.4% to 0.5% across all years. Similarly, the fill rates for AOMs rose from 0.4% in 2016 to 0.6% in 2021. From 2016 to 2021, the prescribing and fill rates for incretin AOMs (i.e., liraglutide and semaglutide) doubled (from 0.1% to 0.2%) and quadrupled (from 0.1% to 0.4%), respectively. Conclusions: Despite some increases in recent years, obesity and overweight diagnosis rates remain low, suggesting a significant clinical care gap. Even in the most recent year, less than 3 of 5 people with obesity received an official diagnosis and less than half received a claims-based diagnosis. The overall obesity and overweight diagnoses were higher than reported in claims, signaling a gap in reimbursement. AOM prescribing and filling remained consistently low, with less than 7 in 1000 AOM-eligible adults receiving or filling AOM prescriptions. The clinical care gap for overweight and obesity is substantial, needing effective measures to reduce barriers for obesity care. Presentation: Saturday, June 17, 2023 Oxford University Press 2023-10-05 /pmc/articles/PMC10555360/ http://dx.doi.org/10.1210/jendso/bvad114.112 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Adipose Tissue, Appetite, & Obesity Ezendu, Kyrian Choong, Casey Kar-Chan Brown, Madeline Malik, Raleigh Hankosky, Emily R SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US |
title | SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US |
title_full | SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US |
title_fullStr | SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US |
title_full_unstemmed | SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US |
title_short | SAT664 Obesity And Overweight Diagnosis, Physician Prescription And Patient Filling Of Anti-Obesity Medications In US |
title_sort | sat664 obesity and overweight diagnosis, physician prescription and patient filling of anti-obesity medications in us |
topic | Adipose Tissue, Appetite, & Obesity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555360/ http://dx.doi.org/10.1210/jendso/bvad114.112 |
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