Literature DB >> 1891009

Effects of Medicaid drug-payment limits on admission to hospitals and nursing homes.

S B Soumerai1, D Ross-Degnan, J Avorn, T j McLaughlin, I Choodnovskiy.   

Abstract

BACKGROUND: Many state Medicaid programs limit the number of reimbursable medications that a patient can receive. We hypothesized that such limitations may lead to exacerbations of illness or to admissions to institutions where there are no caps on drug reimbursements.
METHODS: We analyzed 36 months of Medicaid claims data from New Hampshire, which had a three-drug limit per patient for 11 of those months, and from New Jersey, which did not. The study patients in New Hampshire (n = 411) and a matched comparison cohort in New Jersey (n = 1375) were Medicaid recipients 60 years of age or older who in a base-line year had been taking three or more medications per month, including at least one maintenance drug for certain chronic diseases. Survival (defined as remaining in the community) and time-series analyses were conducted to determine the effect of the reimbursement cap on admissions to hospitals and nursing homes.
RESULTS: The base-line demographic characteristics of the cohorts were nearly identical. In New Hampshire, the 35 percent decline in the use of study drugs after the cap was applied was associated with an increase in rates of admission to nursing homes; no changes were observed in the comparison cohort (RR = 1.8; 95 percent confidence interval, 1.2 to 2.6). There was no significantly increased risk of hospitalization. Among the patients in New Hampshire who regularly took three or more study medications at base line, the relative risk of admission to a nursing home during the period of the cap was 2.2 (95 percent confidence interval, 1.2 to 4.1), and the risk of hospitalization was 1.2 (95 percent confidence interval, 0.8 to 1.6). When the cap was discontinued after 11 months, the use of medications returned nearly to base-line levels, and the excess risk of admission to a nursing home ceased. In general, the patients who were admitted to nursing homes did not return to the community.
CONCLUSIONS: Limiting reimbursement for effective drugs puts frail, low-income, elderly patients at increased risk of institutionalization in nursing homes and may increase Medicaid costs.

Entities:  

Mesh:

Year:  1991        PMID: 1891009     DOI: 10.1056/NEJM199110103251505

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  122 in total

1.  Is there a link between pharmaceutical consumption and improved health in OECD countries?

Authors:  R D Miller; H E Frech
Journal:  Pharmacoeconomics       Date:  2000       Impact factor: 4.981

2.  Pill-splitting in a long-term care facility.

Authors:  M S Fischbach; J L Gold; M Lee; J M Dergal; G M Litner; P A Rochon
Journal:  CMAJ       Date:  2001-03-20       Impact factor: 8.262

3.  Changing doctor prescribing behaviour.

Authors:  P S Gill; M Mäkelä; K M Vermeulen; N Freemantle; G Ryan; C Bond; T Thorsen; F M Haaijer-Ruskamp
Journal:  Pharm World Sci       Date:  1999-08

4.  Medicare prescription coverage and congressional gridlock.

Authors:  S B Soumerai; A S Adams; D Ross-Degnan
Journal:  J Gen Intern Med       Date:  2001-12       Impact factor: 5.128

5.  Income-based drug benefit policy: impact on receipt of inhaled corticosteroid prescriptions by Manitoba children with asthma.

Authors:  A L Kozyrskyj; C A Mustard; M S Cheang; F E Simons
Journal:  CMAJ       Date:  2001-10-02       Impact factor: 8.262

Review 6.  Reassessing the relevance of pharmacoeconomic analyses in formulary decisions.

Authors:  J A Johnson; E Friesen
Journal:  Pharmacoeconomics       Date:  1998-05       Impact factor: 4.981

7.  The role of cost-consequence analysis in healthcare decision-making.

Authors:  J A Mauskopf; J E Paul; D M Grant; A Stergachis
Journal:  Pharmacoeconomics       Date:  1998-03       Impact factor: 4.981

8.  The effects of acquisition cost and budget-based compensation on the attitudes of pharmacy directors toward the adoption of a cost-effective new drug.

Authors:  M Kolassa; M C Smith; B F Banahan; D D Garner; W F Shughart
Journal:  Pharmacoeconomics       Date:  1998-02       Impact factor: 4.981

9.  Pharmaceutical cost containment with reference-based pricing: time for refinements.

Authors:  Sebastian Schneeweiss; Malcolm Maclure; Colin Dormuth; Jerry Avorn
Journal:  CMAJ       Date:  2002-11-26       Impact factor: 8.262

10.  Cost containment for treating hypertension in African Americans: impact of a combined ACE inhibitor-calcium channel blocker.

Authors:  D S Kountz
Journal:  J Natl Med Assoc       Date:  1997-07       Impact factor: 1.798

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.