Literature DB >> 21041739

Copayment reductions generate greater medication adherence in targeted patients.

Matthew L Maciejewski1, Joel F Farley, John Parker, Daryl Wansink.   

Abstract

A large value-based insurance design program offered by Blue Cross Blue Shield of North Carolina eliminated generic medication copayments and reduced copayments for brand-name medications. Our study showed that the program improved adherence to medications for diabetes, hypertension, hyperlipidemia, and congestive heart failure. We found that adherence improved for enrollees, ranging from a gain of 3.8 percentage points for patients with diabetes to 1.5 percentage points for those taking calcium-channel blockers, when compared to others whose employers did not offer a similar program. An examination of longer-term adherence and trends in health care spending is still needed to provide a compelling evidence base for value-based insurance design.

Entities:  

Mesh:

Year:  2010        PMID: 21041739     DOI: 10.1377/hlthaff.2010.0571

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  32 in total

1.  Trends in Antihypertensive Medication Discontinuation and Low Adherence Among Medicare Beneficiaries Initiating Treatment From 2007 to 2012.

Authors:  Gabriel S Tajeu; Shia T Kent; Ian M Kronish; Lei Huang; Marie Krousel-Wood; Adam P Bress; Daichi Shimbo; Paul Muntner
Journal:  Hypertension       Date:  2016-07-18       Impact factor: 10.190

2.  Does medication adherence following a copayment increase differ by disease burden?

Authors:  Virginia Wang; Chuan-Fen Liu; Christopher L Bryson; Nancy D Sharp; Matthew L Maciejewski
Journal:  Health Serv Res       Date:  2011-06-20       Impact factor: 3.402

3.  Control Outcomes and Exposures for Improving Internal Validity of Nonrandomized Studies.

Authors:  Stacie B Dusetzina; M Alan Brookhart; Matthew L Maciejewski
Journal:  Health Serv Res       Date:  2015-01-19       Impact factor: 3.402

4.  Should national pharmacare apply a value-based insurance design?

Authors:  Kai Yeung; Steven G Morgan
Journal:  CMAJ       Date:  2019-07-22       Impact factor: 8.262

5.  Potential bias in medication adherence studies of prevalent users.

Authors:  Matthew L Maciejewski; Chris L Bryson; Virginia Wang; Mark Perkins; Chuan-Fen Liu
Journal:  Health Serv Res       Date:  2013-02-13       Impact factor: 3.402

6.  Endocrine therapy use among elderly hormone receptor-positive breast cancer patients enrolled in Medicare Part D.

Authors:  Gerald F Riley; Joan L Warren; Linda C Harlan; Steven A Blackwell
Journal:  Medicare Medicaid Res Rev       Date:  2011-12-13

Review 7.  Adherence to Antihypertensive Therapy.

Authors:  Erin Peacock; Marie Krousel-Wood
Journal:  Med Clin North Am       Date:  2017-01       Impact factor: 5.456

8.  A cardiovascular disease risk prediction algorithm for use with the Medicare current beneficiary survey.

Authors:  Hassan Fouayzi; Arlene S Ash; Amy K Rosen
Journal:  Health Serv Res       Date:  2020-04-14       Impact factor: 3.402

9.  Impact of a Value-based Formulary on Medication Utilization, Health Services Utilization, and Expenditures.

Authors:  Kai Yeung; Anirban Basu; Ryan N Hansen; John B Watkins; Sean D Sullivan
Journal:  Med Care       Date:  2017-02       Impact factor: 2.983

10.  The Impact of a Tiered Network on Hospital Choice.

Authors:  Matthew B Frank; John Hsu; Mary Beth Landrum; Michael E Chernew
Journal:  Health Serv Res       Date:  2015-03-09       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.