Literature DB >> 29777535

The Relationship between Costs and Quality in Veterans Health Administration Community Living Centers: An Analysis Using Longitudinal Data.

James F Burgess1,2, Michael Shwartz1,3, Kelly Stolzmann1, Jennifer L Sullivan1,2.   

Abstract

OBJECTIVE: To examine the relationship between cost and quality in Veterans Health Administration (VA) nursing homes (called Community Living Centers, CLCs) using longitudinal data. DATA SOURCES/STUDY
SETTING: One hundred and thirty CLCs over 13 quarters (from FY2009 to FY2012) were studied. Costs, resident days, and resident severity (RUGs score) were obtained from the VA Managerial Cost Accounting System. Clinical quality measures were obtained from the Minimum Data Set, and resident-centered care (RCC) was measured using the Artifacts of Culture Change Tool. STUDY
DESIGN: We used a generalized estimating equation model with facilities included as fixed effects to examine the relationship between total cost and quality after controlling for resident days and severity. The model included linear and squared terms for all independent variables and interactions with resident days. PRINCIPAL
FINDINGS: With the exception of RCC, all other variables had a statistically significant relationship with total costs. For most poorer performing smaller facilities (lower size quartile), improvements in quality were associated with higher costs. For most larger facilities, improvements in quality were associated with lower costs.
CONCLUSIONS: The relationship between cost and quality depends on facility size and current level of performance. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  Cost-quality tradeoff; composite quality measures; nursing home costs; nursing home outcomes

Mesh:

Year:  2018        PMID: 29777535      PMCID: PMC6153156          DOI: 10.1111/1475-6773.12975

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


  22 in total

1.  Nursing home costs and quality of care outcomes.

Authors:  Lanis L Hicks; Marilyn J Rantz; Gregory F Petroski; Dana B Mukamel
Journal:  Nurs Econ       Date:  2004 Jul-Aug       Impact factor: 1.085

2.  Shrinkage estimators for a composite measure of quality conceptualized as a formative construct.

Authors:  Michael Shwartz; Erol A Peköz; Cindy L Christiansen; James F Burgess; Dan Berlowitz
Journal:  Health Serv Res       Date:  2012-06-20       Impact factor: 3.402

3.  What is nursing home quality and how is it measured?

Authors:  Nicholas G Castle; Jamie C Ferguson
Journal:  Gerontologist       Date:  2010-07-14

4.  Composite Measures of Health Care Provider Performance: A Description of Approaches.

Authors:  Michael Shwartz; Joseph D Restuccia; Amy K Rosen
Journal:  Milbank Q       Date:  2015-12       Impact factor: 4.911

5.  Performance-based budgeting in the public sector: an illustration from the VA health care system.

Authors:  Suthathip Yaisawarng; James F Burgess
Journal:  Health Econ       Date:  2006-03       Impact factor: 3.046

Review 6.  Extreme makeover: Transformation of the veterans health care system.

Authors:  Kenneth W Kizer; R Adams Dudley
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

7.  Does quality of care lead to better financial performance?: the case of the nursing home industry.

Authors:  Robert Weech-Maldonado; Gerald Neff; Vince Mor
Journal:  Health Care Manage Rev       Date:  2003 Jul-Sep

8.  The nursing home culture-change movement: recent past, present, and future directions for research.

Authors:  Anna N Rahman; John F Schnelle
Journal:  Gerontologist       Date:  2008-04

9.  Models for longitudinal data: a generalized estimating equation approach.

Authors:  S L Zeger; K Y Liang; P S Albert
Journal:  Biometrics       Date:  1988-12       Impact factor: 2.571

Review 10.  The association between health care quality and cost: a systematic review.

Authors:  Peter S Hussey; Samuel Wertheimer; Ateev Mehrotra
Journal:  Ann Intern Med       Date:  2013-01-01       Impact factor: 25.391

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