Literature DB >> 19531805

The nursing home Minimum Data Set assessment instrument: manifest functions and unintended consequences--past, present, and future.

Anna N Rahman1, Robert A Applebaum.   

Abstract

The Minimum Data Set (MDS) is a uniform instrument used in nursing homes to assess residents. In January 2008, the Centers for Medicare and Medicaid Services published a draft of a new MDS-version 3.0. This article traces the instrument's development and the design decisions that shaped it, discusses the MDS's manifest functions-data collection intended to drive quality improvement and the unintended consequences of its use-paper compliance and diminished attention to resident quality of life, and examines the revised version to gauge its success in meeting the instrument's objectives. Although results of the national evaluation of MDS 3.0 are promising, the revisions, especially those pertaining to quality-of-life assessment and the use of resident interviews and standardized assessment procedures, raise questions for future consideration. Additionally, past research suggests that the MDS's impact on quality-of-care improvement will be limited unless efforts are directed toward resolving the industry's persistent struggles with staffing, survey effectiveness, and the development of feasible care processes. MDS 3.0 seems most likely to achieve its potential if it operates within a multifaceted quality improvement framework.

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Year:  2009        PMID: 19531805     DOI: 10.1093/geront/gnp066

Source DB:  PubMed          Journal:  Gerontologist        ISSN: 0016-9013


  30 in total

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2.  Clinical practice in nursing homes as a key for progress.

Authors:  J E Morley
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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.  A study protocol for the development of a multivariable model predicting 6- and 12-month mortality for people with dementia living in residential aged care facilities (RACFs) in Australia.

Authors:  Ross Bicknell; Wen Kwang Lim; Andrea B Maier; Dina LoGiudice
Journal:  Diagn Progn Res       Date:  2020-10-07

5.  Health Care Needs in Assisted Living: Survey Data May Underestimate Chronic Conditions.

Authors:  Sheryl Zimmerman; Wenhan Guo; Yunjiao Mao; Yue Li; Helena Temkin-Greener
Journal:  J Am Med Dir Assoc       Date:  2020-12-27       Impact factor: 4.669

6.  Changes in health and functioning of care home residents over two decades: what can we learn from population-based studies?

Authors:  Robert O Barker; Barbara Hanratty; Andrew Kingston; Sheena Ramsay; Fiona E Matthews
Journal:  Age Ageing       Date:  2020-11-17       Impact factor: 10.668

7.  Cholinesterase inhibitor and memantine use in newly admitted nursing home residents with dementia.

Authors:  Carole Parsons; Becky A Briesacher; Jane L Givens; Yong Chen; Jennifer Tjia
Journal:  J Am Geriatr Soc       Date:  2011-06-13       Impact factor: 5.562

8.  Feasibility of a web-based dementia feeding skills training program for nursing home staff.

Authors:  Melissa Batchelor-Murphy; Elaine J Amella; Jane Zapka; Martina Mueller; Cornelia Beck
Journal:  Geriatr Nurs       Date:  2015-03-11       Impact factor: 2.361

9.  Sensitivity and specificity of the Minimum Data Set 3.0 discharge data relative to Medicare claims.

Authors:  Momotazur Rahman; Denise Tyler; Joseph Kofi Acquah; Julie Lima; Vincent Mor
Journal:  J Am Med Dir Assoc       Date:  2014-08-30       Impact factor: 4.669

Review 10.  Disentangling the disabling process: insights from the precipitating events project.

Authors:  Thomas M Gill
Journal:  Gerontologist       Date:  2014-08
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