Literature DB >> 12035993

Does prospective payment really contain nursing home costs?

Li-Wu Chen1, Dennis G Shea.   

Abstract

OBJECTIVE: To examine whether nursing homes would behave more efficiently, without compromising their quality of care, under prospective payment. DATA SOURCES: Four data sets for 1994: the Skilled Nursing Facility Minimum Data Set, the Online Survey Certification and Reporting System file, the Area Resource File, and the Hospital Wage Indices File. A national sample of 4,635 nursing homes is included in the analysis. STUDY
DESIGN: Using a modified hybrid functional form to estimate nursing home costs, we distinguish our study from previous research by controlling for quality differences (related to both care and life) and addressing the issues of output and quality endogeneity, as well as using more recent national data. Factor analysis was used to operationalize quality variables. To address the endogeneity problems, instrumental measures were created for nursing home output and quality variables. PRINCIPAL
FINDINGS: Nursing homes in states using prospective payment systems do not have lower costs than their counterpart facilities under retrospective cost-based payment systems, after quality differences among facilities are controlled for and the endogeneity problem of quality variables is addressed.
CONCLUSIONS: The effects of prospective payment on nursing home cost reduction may be through quality cuts, rather than cost efficiency. If nursing home payments under prospective payment systems are not adjusted for quality, nursing homes may respond by cutting their quality levels, rather than controlling costs. Future outcomes research may provide useful insights into the adjustment of quality in the design of prospective payment for nursing home care.

Mesh:

Year:  2002        PMID: 12035993      PMCID: PMC1430360          DOI: 10.1111/1475-6773.022

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


  21 in total

Review 1.  Health spending in 1998: signals of change. The Health Accounts Team.

Authors:  K Levit; C Cowan; H Lazenby; A Sensenig; P McDonnell; J Stiller; A Martin
Journal:  Health Aff (Millwood)       Date:  2000 Jan-Feb       Impact factor: 6.301

2.  The costs of Medicare patients in nursing homes in the United States: multiple output analysis.

Authors:  A Dor
Journal:  J Health Econ       Date:  1989-12       Impact factor: 3.883

3.  On the estimation of hospital cost functions.

Authors:  D F Vitaliano
Journal:  J Health Econ       Date:  1987-12       Impact factor: 3.883

4.  Estimating hospital costs. A multiple-output analysis.

Authors:  T W Grannemann; R S Brown; M V Pauly
Journal:  J Health Econ       Date:  1986-06       Impact factor: 3.883

5.  The specification of a hospital cost function. A comment on the recent literature.

Authors:  F Breyer
Journal:  J Health Econ       Date:  1987-06       Impact factor: 3.883

6.  The resource utilization group system: its effect on nursing home case mix and costs.

Authors:  K E Thorpe; P J Gertler; P Goldman
Journal:  Inquiry       Date:  1991       Impact factor: 1.730

7.  The effects of Medicaid reimbursement method and ownership on nursing home costs, case mix, and staffing.

Authors:  J W Cohen; L C Dubay
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8.  Promoting the quality of life in nursing homes: can regulation succeed?

Authors:  J A Nyman; C R Geyer
Journal:  J Health Polit Policy Law       Date:  1989       Impact factor: 2.265

9.  The impact of prospective reimbursement on nursing home efficiency.

Authors:  T R Sexton; A M Leiken; S Sleeper; A F Coburn
Journal:  Med Care       Date:  1989-02       Impact factor: 2.983

10.  An econometric analysis of the major determinants of nursing home costs in the United States.

Authors:  M R Meiners
Journal:  Soc Sci Med       Date:  1982       Impact factor: 4.634

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