The impact of Medicare Part D on hospitalization rates
- PMID: 21306369
- PMCID: PMC3165176
- DOI: 10.1111/j.1475-6773.2011.01244.x
The impact of Medicare Part D on hospitalization rates
Abstract
Objective: To determine whether the change in prescription drug insurance coverage associated with Medicare Part D reduced hospitalization rates for conditions sensitive to drug adherence.
Data sources/study setting: Hospital discharge data from 2005 to 2007 for 23 states, linked with state-level data on drug coverage.
Study design: We use a difference-in-difference-in-differences approach, comparing changes in the probability of hospitalization before and after the introduction of the Part D benefit in 2006, for individuals aged 65 and older (versus individuals aged 60-64) in states with low drug coverage in 2005 (versus those in states with high pre-Part D drug coverage).
Data collection/extraction methods: Hospitalization rates for selected ambulatory care sensitive conditions in 23 states were computed using data from the Census and Health Care Utilization Project. Drug coverage rates were computed using data from several sources.
Principal findings: For the conditions studied, our point estimates suggest that Part D reduced the overall rate of hospitalization by 20.5 per 10,000 (4.1 percent), representing approximately 42,000 admissions, about half of the reduction in admissions over our study period. Conclusions. The increase in drug coverage associated with Medicare Part D had positive effects on the health of elderly Americans, which reduced use of nondrug health care resources.
© Health Research and Educational Trust.
Figures
Similar articles
-
How Medicare Part D benefit phases affect adherence with evidence-based medications following acute myocardial infarction.Health Serv Res. 2013 Dec;48(6 Pt 1):1960-77. doi: 10.1111/1475-6773.12073. Epub 2013 Jun 6. Health Serv Res. 2013. PMID: 23742013 Free PMC article.
-
State-level impacts of Medicare Part D.Am J Manag Care. 2011 Oct;17 Suppl 12:S. Am J Manag Care. 2011. PMID: 21999816
-
Medication Adherence Based on Part D Claims for Patients With Heart Failure After Hospitalization (from the Atherosclerosis Risk in Communities Study).Am J Cardiol. 2015 Aug 1;116(3):413-9. doi: 10.1016/j.amjcard.2015.04.058. Epub 2015 May 8. Am J Cardiol. 2015. PMID: 26026867 Free PMC article.
-
Medicare Part D and quality of prescription medication use in older adults.Drugs Aging. 2011 Oct 1;28(10):797-807. doi: 10.2165/11595250-000000000-00000. Drugs Aging. 2011. PMID: 21970307 Free PMC article. Review.
-
Medicare Part D's effect on the under- and overuse of medications: a systematic review.J Am Geriatr Soc. 2011 Oct;59(10):1922-33. doi: 10.1111/j.1532-5415.2011.03537.x. Epub 2011 Aug 1. J Am Geriatr Soc. 2011. PMID: 21806563 Free PMC article. Review.
Cited by
-
Prescription Drug Spending in Fee-for-Service Medicare, 2008-2019.JAMA. 2022 Oct 18;328(15):1515-1522. doi: 10.1001/jama.2022.17825. JAMA. 2022. PMID: 36255428 Free PMC article.
-
Pharmaceutical policies: effects of regulating drug insurance schemes.Cochrane Database Syst Rev. 2022 May 3;5(5):CD011703. doi: 10.1002/14651858.CD011703.pub2. Cochrane Database Syst Rev. 2022. PMID: 35502614 Free PMC article. Review.
-
Effects of utilization management on health outcomes: evidence from urinary tract infections and community-acquired pneumonia.Expert Rev Pharmacoecon Outcomes Res. 2022 Sep;22(6):981-992. doi: 10.1080/14737167.2022.2067529. Epub 2022 Apr 27. Expert Rev Pharmacoecon Outcomes Res. 2022. PMID: 35427203 Free PMC article.
-
Effects of medicaid expansion on poverty disparities in health insurance coverage.Int J Equity Health. 2021 Jul 26;20(1):171. doi: 10.1186/s12939-021-01486-3. Int J Equity Health. 2021. PMID: 34311757 Free PMC article.
-
The impact of expanding health insurance coverage for anti-cancer drugs on cancer survival in Korea.Cancer Med. 2021 Jul;10(13):4555-4563. doi: 10.1002/cam4.3979. Epub 2021 Jun 18. Cancer Med. 2021. PMID: 34145980 Free PMC article.
References
-
- Ai C, Norton EC. Interaction Terms in Logit and Probit Models. Economics Letters. 2003;80(1):123–29.
-
- Bertrand M, Duflo E, Mullainathan S. How Much Should We Trust Differences-in-Differences Estimates? Quarterly Journal of Economics. 2004;119(1):249–75.
-
- Beta-blocker Heart Attack Study Group. A Randomized Trial of Propranolol in Patients with Acute Myocardial Infarction. II. Morbidity Results. Journal of American Medical Association. 1983;250:2814–19. - PubMed
-
- Bindman AB, Grumbach K, Osmond D, Komaromy M, Vranizan K, Lurie N, Billings J, Stewart A. Preventable Hospitalizations and Access to Health Care. 1995;274(4):305–11. - PubMed
-
- Brophy JM, Joseph L, Rouleau JL. Beta-Blockers in Congestive Heart Failure: A Bayesian Meta-Analysis. Annals of Internal Medicine. 2001;134:550–60. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
