Literature DB >> 25515869

Regional variation in use of a new class of antidiabetic medication among medicare beneficiaries: the case of incretin mimetics.

Zachary A Marcum1, Julia Driessen2, Carolyn T Thorpe3, Julie M Donohue2, Walid F Gellad3.   

Abstract

BACKGROUND: When incretin mimetic (IM) medications were introduced in 2005, their effectiveness compared with other less-expensive second-line diabetes therapies was unknown, especially for older adults. Physicians likely had some uncertainty about the role of IMs in the diabetes treatment armamentarium. Regional variation in uptake of IMs may be a marker of such uncertainty.
OBJECTIVE: To investigate the extent of regional variation in the use of IMs among beneficiaries and estimate the cost implications for Medicare.
METHODS: This was a cross-sectional analysis of 2009-2010 claims data from a nationally representative sample of 238 499 Medicare Part D beneficiaries aged ≥65 years, who were continuously enrolled in fee-for-service Medicare and Part D and filled ≥1 antidiabetic prescription. Beneficiaries were assigned to 1 of 306 hospital-referral regions (HRRs) using ZIP codes. The main outcome was adjusted proportion of antidiabetic users in an HRR receiving an IM.
RESULTS: Overall, 29 933 beneficiaries (12.6%) filled an IM prescription, including 26 939 (11.3%) for sitagliptin or saxagliptin and 3718 (1.6%) for exenatide or liraglutide. The adjusted proportion of beneficiaries using IMs varied more than 3-fold across HRRs, from 5th and 95th percentiles of 5.2% to 17.0%. Compared with non-IM users, IM users faced a 155% higher annual Part D plan ($1067 vs $418) and 144% higher patient ($369 vs $151) costs for antidiabetic prescriptions.
CONCLUSION: Among older Part D beneficiaries using antidiabetic drugs, substantial regional variation exists in the use of IMs, not accounted for by sociodemographics and health status. IM use was associated with substantially greater costs for Part D plans and beneficiaries.
© The Author(s) 2014.

Entities:  

Keywords:  Medicare; diabetes; pharmacoepidemiology; regional variation

Mesh:

Substances:

Year:  2014        PMID: 25515869      PMCID: PMC4876962          DOI: 10.1177/1060028014563951

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  23 in total

1.  Management of hyperglycaemia in type 2 diabetes: a patient-centered approach. Position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  S E Inzucchi; R M Bergenstal; J B Buse; M Diamant; E Ferrannini; M Nauck; A L Peters; A Tsapas; R Wender; D R Matthews
Journal:  Diabetologia       Date:  2012-04-20       Impact factor: 10.122

2.  Has pancreatic damage from glucagon suppressing diabetes drugs been underplayed?

Authors:  Deborah Cohen
Journal:  BMJ       Date:  2013-06-07

3.  Geographic variation in health care spending in the United States: insights from an Institute of Medicine report.

Authors:  Joseph P Newhouse; Alan M Garber
Journal:  JAMA       Date:  2013-09-25       Impact factor: 56.272

4.  Geographic variation in Medicare services.

Authors:  Joseph P Newhouse; Alan M Garber
Journal:  N Engl J Med       Date:  2013-03-23       Impact factor: 91.245

5.  Over and under-utilization of cyclooxygenase-2 selective inhibitors by primary care physicians and specialists: the tortoise and the hare revisited.

Authors:  Brian D De Smet; A Mark Fendrick; James G Stevenson; Steven J Bernstein
Journal:  J Gen Intern Med       Date:  2006-07       Impact factor: 5.128

6.  Gallstones, a cholecystectomy, chronic pancreatitis, and the risk of subsequent pancreatic cancer in diabetic patients: a population-based cohort study.

Authors:  Hsueh-Chou Lai; I-Ju Tsai; Pei-Chun Chen; Chih-Hsin Muo; Jen-Wei Chou; Cheng-Yuan Peng; Shih-Wei Lai; Fung-Chang Sung; Shu-Yu Lyu; Donald E Morisky
Journal:  J Gastroenterol       Date:  2012-10-03       Impact factor: 7.527

7.  The use of automated data to identify complications and comorbidities of diabetes: a validation study.

Authors:  K M Newton; E H Wagner; S D Ramsey; D McCulloch; R Evans; N Sandhu; C Davis
Journal:  J Clin Epidemiol       Date:  1999-03       Impact factor: 6.437

Review 8.  A review of geographic variation and Geographic Information Systems (GIS) applications in prescription drug use research.

Authors:  Victoria Wangia; Theresa I Shireman
Journal:  Res Social Adm Pharm       Date:  2013-01-18

9.  How quickly do physicians adopt new drugs? The case of second-generation antipsychotics.

Authors:  Haiden A Huskamp; A James O'Malley; Marcela Horvitz-Lennon; Anna Levine Taub; Ernst R Berndt; Julie M Donohue
Journal:  Psychiatr Serv       Date:  2013-04-01       Impact factor: 3.084

10.  Diagnosis-based risk adjustment for medicare prescription drug plan payments.

Authors:  John Robst; Jesse M Levy; Melvin J Ingber
Journal:  Health Care Financ Rev       Date:  2007
View more
  4 in total

1.  Patient-Centered Guidelines for Geriatric Diabetes Care: Potential Missed Opportunities to Avoid Harm.

Authors:  Ellen M McCreedy; Robert L Kane; Sarah E Gollust; Nathan D Shippee; Kirby D Clark
Journal:  J Am Board Fam Med       Date:  2018 Mar-Apr       Impact factor: 2.657

2.  Metformin Safety Warnings and Diabetes Drug Prescribing Patterns for Older Nursing Home Residents.

Authors:  Andrew R Zullo; David D Dore; Roee Gutman; Vincent Mor; Carlos A Alvarez; Robert J Smith
Journal:  J Am Med Dir Assoc       Date:  2017-07-01       Impact factor: 4.669

3.  Penetration of new antidiabetic medications in East Asian countries and the United States: A cross-national comparative study.

Authors:  Kiyoshi Kubota; Yukari Kamijima; Yea-Huei Kao Yang; Shinya Kimura; Edward Chia-Cheng Lai; Kenneth K C Man; Patrick Ryan; Martijn Schuemie; Paul Stang; Chien-Chou Su; Ian C K Wong; Yinghong Zhang; Soko Setoguchi
Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

4.  Association between physician adoption of a new oral anti-diabetic medication and Medicare and Medicaid drug spending.

Authors:  Ilinca D Metes; Lingshu Xue; Chung-Chou H Chang; Haiden A Huskamp; Walid F Gellad; Wei-Hsuan Lo-Ciganic; Niteesh K Choudhry; Seth Richards-Shubik; Hasan Guclu; Julie M Donohue
Journal:  BMC Health Serv Res       Date:  2019-10-16       Impact factor: 2.655

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.