Literature DB >> 23663197

Responses to Medicare drug costs among near-poor versus subsidized beneficiaries.

Vicki Fung1, Mary Reed, Mary Price, Richard Brand, William H Dow, Joseph P Newhouse, John Hsu.   

Abstract

OBJECTIVE: There is limited information on the protective value of Medicare Part D low-income subsidies (LIS). We compared responses to drug costs for LIS recipients with near-poor (≤200 percent of the Federal Poverty Level) and higher income beneficiaries without the LIS. DATA SOURCES/STUDY
SETTING: Medicare Advantage beneficiaries in 2008. STUDY
DESIGN: We examined three drug cost responses using multivariate logistic regression: cost-reducing behaviors (e.g., switching to generics), nonadherence (e.g., not refilling prescriptions), and financial stress (e.g., going without necessities). DATA COLLECTION: Telephone interviews in a stratified random sample (N = 1,201, 70 percent response rate). PRINCIPAL
FINDINGS: After adjustment, a comparable percentage of unsubsidized near-poor (26 percent) and higher income beneficiaries reported cost-reducing behaviors (23 percent, p = .63); fewer LIS beneficiaries reported cost-reducing behaviors (15 percent, p = .019 vs near-poor). Unsubsidized near-poor beneficiaries were more likely to reduce adherence (8.2 percent) than higher income (3.5 percent, p = .049) and LIS beneficiaries (3.1 percent, p = .027). Near-poor beneficiaries also more frequently experienced financial stress due to drug costs (20 percent) than higher income beneficiaries (11 percent, p = .050) and LIS beneficiaries (11 percent, p = .015).
CONCLUSIONS: Low-income subsidies provide protection from drug cost-related nonadherence and financial stress. Beneficiaries just above the LIS income threshold are most at risk for these potentially adverse behaviors. © Health Research and Educational Trust.

Entities:  

Keywords:  Medicare; drug cost-sharing; low-income subsidies

Mesh:

Year:  2013        PMID: 23663197      PMCID: PMC3796106          DOI: 10.1111/1475-6773.12062

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  10 in total

1.  Using matched survey and administrative data to estimate eligibility for the Medicare Part D low-income subsidy program.

Authors:  Erik Meijer; Lynn A Karoly; Pierre-Carl Michaud
Journal:  Soc Secur Bull       Date:  2010

2.  Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology.

Authors:  N Krieger
Journal:  Am J Public Health       Date:  1992-05       Impact factor: 9.308

3.  Successful conversion of patients with hypercholesterolemia from a brand name to a generic cholesterol-lowering drug.

Authors:  T Craig Cheetham; James Chan; Victor Benson; Cathlene Richmond; Eleanor Levin; David Campen
Journal:  Am J Manag Care       Date:  2005-09       Impact factor: 2.229

4.  Impact of Medicare Part D on Medicare-Medicaid dual-eligible beneficiaries' prescription utilization and expenditures.

Authors:  Anirban Basu; Wesley Yin; G Caleb Alexander
Journal:  Health Serv Res       Date:  2009-12-04       Impact factor: 3.402

5.  Medicare beneficiaries' knowledge of Part D prescription drug program benefits and responses to drug costs.

Authors:  John Hsu; Vicki Fung; Mary Price; Jie Huang; Richard Brand; Rita Hui; Bruce Fireman; Joseph P Newhouse
Journal:  JAMA       Date:  2008-04-23       Impact factor: 56.272

6.  Falling into the coverage gap: Part D drug costs and adherence for Medicare Advantage prescription drug plan beneficiaries with diabetes.

Authors:  Vicki Fung; Carol M Mangione; Jie Huang; Norman Turk; Elaine S Quiter; Julie A Schmittdiel; John Hsu
Journal:  Health Serv Res       Date:  2009-12-30       Impact factor: 3.402

7.  The effects of the coverage gap on drug spending: a closer look at Medicare Part D.

Authors:  Yuting Zhang; Julie Marie Donohue; Joseph P Newhouse; Judith R Lave
Journal:  Health Aff (Millwood)       Date:  2009-02-03       Impact factor: 6.301

8.  The effect of transitioning to medicare part d drug coverage in seniors dually eligible for medicare and medicaid.

Authors:  William H Shrank; Amanda R Patrick; Alex Pedan; Jennifer M Polinski; Laleh Varasteh; Raisa Levin; Nan Liu; Sebastian Schneeweiss
Journal:  J Am Geriatr Soc       Date:  2008-12       Impact factor: 5.562

9.  Effects of increased patient cost sharing on socioeconomic disparities in health care.

Authors:  Michael Chernew; Teresa B Gibson; Kristina Yu-Isenberg; Michael C Sokol; Allison B Rosen; A Mark Fendrick
Journal:  J Gen Intern Med       Date:  2008-04-29       Impact factor: 5.128

10.  Dual eligibles with mental disorders and Medicare part D: how are they faring?

Authors:  Julie M Donohue; Haiden A Huskamp; Samuel H Zuvekas
Journal:  Health Aff (Millwood)       Date:  2009 May-Jun       Impact factor: 6.301

  10 in total
  5 in total

1.  Medicare Beneficiaries, Especially Unsubsidized Minorities, Struggle to Pay for Prescription Drugs: Results from the Medicare Current Beneficiary Survey.

Authors:  Meng Li; Mark Bounthavong
Journal:  J Gen Intern Med       Date:  2019-07-24       Impact factor: 5.128

2.  Community characteristics and mortality: the relative strength of association of different community characteristics.

Authors:  Kitty S Chan; Eric Roberts; Rachael McCleary; Christine Buttorff; Darrell J Gaskin
Journal:  Am J Public Health       Date:  2014-07-17       Impact factor: 9.308

3.  Association of Medicare Part D low-income cost subsidy program enrollment with increased fill adherence to clopidogrel after coronary stent placement.

Authors:  O Kenrik Duru; Sarah Edgington; Carol Mangione; Norman Turk; Chi-Hong Tseng; Lindsay Kimbro; Susan Ettner
Journal:  Pharmacotherapy       Date:  2014-10-14       Impact factor: 4.705

4.  Patient-reported adherence to statin therapy, barriers to adherence, and perceptions of cardiovascular risk.

Authors:  Vicki Fung; Ilana Graetz; Mary Reed; Marc G Jaffe
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

5.  Functional Limitations, Medication Support, and Responses to Drug Costs among Medicare Beneficiaries.

Authors:  Christopher Whaley; Mary Reed; John Hsu; Vicki Fung
Journal:  PLoS One       Date:  2015-12-07       Impact factor: 3.240

  5 in total

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