Literature DB >> 12642895

Improving nursing home quality of care through outcomes data: the MDS quality indicators.

David R Zimmerman1.   

Abstract

BACKGROUND: The quality of care provided to nursing home residents is a continuing source of concern throughout the world. In the United States, the Health Care Financing Administration mandated the use of a standardised resident assessment instrument, called the Minimum Data Set (MDS) which facilitated the development of a set of nursing home quality of care indicators.
METHODS: The MDS Quality Indicators were developed by a team of researchers at the University of Wisconsin-Madison and covered 12 domains, as well as associated risk factors. This initial set of indicators then went through an iterative process of review by national clinical panels, further empirical analysis, validation studies, and pilot tests, to confirm whether they were accurate, reliable and useful tools for identifying quality problems.
RESULTS: The final set of MDS Quality Indicators includes 24 variables that include both processes and outcomes of care and prevalence and incidence measures. They are defined at both the resident and facility level. Four of the indicators are risk-adjusted.
CONCLUSION: The indicators have several possible applications: a source of consumer information; to help guide policy makers; and to assist providers in conducting quality improvement initiatives and to evaluate the impact of these efforts. Copyright 2003 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2003        PMID: 12642895     DOI: 10.1002/gps.820

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  35 in total

1.  Prioritizing information for quality improvement using resident assessment instrument data: experiences in one canadian province.

Authors:  Anne Sales; Hannah M O'Rourke; Kellie Draper; Gary F Teare; Colleen Maxwell
Journal:  Healthc Policy       Date:  2011-02

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.  Is higher nursing home quality more costly?

Authors:  L Di Giorgio; M Filippini; G Masiero
Journal:  Eur J Health Econ       Date:  2015-11-26

5.  The Impact of Dementia Special Care Units on Quality of Care: An Instrumental Variables Analysis.

Authors:  Nina R Joyce; Thomas G McGuire; Stephen J Bartels; Susan L Mitchell; David C Grabowski
Journal:  Health Serv Res       Date:  2018-05-07       Impact factor: 3.402

Review 6.  Improving the quality of long-term care with better information.

Authors:  Vincent Mor
Journal:  Milbank Q       Date:  2005       Impact factor: 4.911

7.  Improving quality assessment through multilevel modeling: the case of nursing home compare.

Authors:  Greg Arling; Teresa Lewis; Robert L Kane; Christine Mueller; Shannon Flood
Journal:  Health Serv Res       Date:  2007-06       Impact factor: 3.402

8.  Benchmarking physical therapy clinic performance: statistical methods to enhance internal validity when using observational data.

Authors:  Linda Resnik; Dawei Liu; Dennis L Hart; Vince Mor
Journal:  Phys Ther       Date:  2008-08-08

9.  Assessing nursing home care quality through Bayesian networks.

Authors:  Justin Goodson; Wooseung Jang
Journal:  Health Care Manag Sci       Date:  2008-12

10.  Randomized multilevel intervention to improve outcomes of residents in nursing homes in need of improvement.

Authors:  Marilyn J Rantz; Mary Zwygart-Stauffacher; Lanis Hicks; David Mehr; Marcia Flesner; Gregory F Petroski; Richard W Madsen; Jill Scott-Cawiezell
Journal:  J Am Med Dir Assoc       Date:  2011-08-04       Impact factor: 4.669

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