Literature DB >> 22795345

Making the investment count: revision of the Minimum Data Set for nursing homes, MDS 3.0.

Debra Saliba1, Joan Buchanan.   

Abstract

BACKGROUND: The Minimum Data Set (MDS) is a potentially powerful tool for implementing standardized assessment in nursing homes (NHs). Its content has implications for residents, families, providers, researchers, and policymakers, all of whom have expressed concerns about the reliability, validity, and relevance of MDS 2.0. Some argue that because MDS 2.0 fails to include items that rely on direct resident interview, it fails to obtain critical information and effectively disenfranchises many residents from the assessment process.
PURPOSE: Design a major revision of the MDS, MDS 3.0, and evaluate whether the revision improves reliability, validity, resident input, clinical utility, and decreases collection burden. DESIGN AND METHODS: In the form design phase, we gathered information from a wide range of experts, synthesized existing literature, worked with a national consortium of VA researchers to revise and test eight sections, pilot tested a draft MDS 3.0 and revised the draft based on results from the pilot. In the national validation and evaluation phase, we tested MDS 3.0 in 71 community NHs and 19 VHA NHs, regionally distributed throughout the United States. The sample was selected based on scheduled MDS 2.0 assessments. Comatose residents were excluded. A total 3822 residents of community NHs in eight states were included. The evaluation was designed to test and analyze inter-rater agreement (reliability) between research nurses and between facility staff and research nurses, validity of key sections, response rates for interview items, anonymous feedback on changes from participating nurses, and time to complete the MDS assessment.
RESULTS: The reliability for research nurse to research nurse and for research nurse to facility staff was good or excellent for most items. Response rates for the resident interview sections were high: 90% for cognitive, 86% for mood, 85% for preferences, and 87% for pain. Staff survey responses showed increased satisfaction with clinical relevance, validity and clarity compared with MDS 2.0. The test version of the MDS 3.0 took 45% less time for facilities to complete. IMPLICATIONS: Improving the reliability, accuracy, and usefulness of the MDS has profound implications for NH care and public policy. Enhanced accuracy supports the primary legislative intent that MDS be a tool to improve clinical assessment and supports the credibility of programs that rely on MDS. Published by Elsevier Inc.

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Year:  2012        PMID: 22795345     DOI: 10.1016/j.jamda.2012.06.002

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  60 in total

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Authors:  Jacob N Hunnicutt; Jennifer Tjia; Kate L Lapane
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3.  Obesity and intensive staffing needs of nursing home residents.

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Journal:  Geriatr Nurs       Date:  2018-06-05       Impact factor: 2.361

4.  Racial and Ethnic Differences in the Prevalence of Depressive Symptoms Among U.S. Nursing Home Residents.

Authors:  Yue Li; Xueya Cai; Charlene Harrington; Michael Hasselberg; Yeates Conwell; Xi Cen; Helena Temkin-Greener
Journal:  J Aging Soc Policy       Date:  2018-07-12

5.  Adjuvant Use and the Intensification of Pharmacologic Management for Pain in Nursing Home Residents with Cancer: Data from a US National Database.

Authors:  Shao-Hsien Liu; Jacob N Hunnicutt; Christine M Ulbricht; Catherine E Dubé; Anne L Hume; Kate L Lapane
Journal:  Drugs Aging       Date:  2019-06       Impact factor: 3.923

6.  Finding Gertrude: The resident's voice in Minimum Data Set 3.0.

Authors:  Kali S Thomas; Andrea Wysocki; Orna Intrator; Vincent Mor
Journal:  J Am Med Dir Assoc       Date:  2014-03-12       Impact factor: 4.669

7.  Trends in family ratings of experience with care and racial disparities among Maryland nursing homes.

Authors:  Yue Li; Zhiqiu Ye; Laurent G Glance; Helena Temkin-Greener
Journal:  Med Care       Date:  2014-07       Impact factor: 2.983

8.  Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes.

Authors:  Joshua D Niznik; Jacob N Hunnicutt; Xinhua Zhao; Maria K Mor; Florentina Sileanu; Sherrie L Aspinall; Sydney P Springer; Mary J Ersek; Walid F Gellad; Loren J Schleiden; Joseph T Hanlon; Joshua M Thorpe; Carolyn T Thorpe
Journal:  J Am Geriatr Soc       Date:  2020-02-17       Impact factor: 5.562

9.  The Minimum Data Set 3.0 Cognitive Function Scale.

Authors:  Kali S Thomas; David Dosa; Andrea Wysocki; Vincent Mor
Journal:  Med Care       Date:  2017-09       Impact factor: 2.983

10.  Who are they? Patients with heart failure in American skilled nursing facilities.

Authors:  Lin Li; Bill M Jesdale; Anne Hume; Giovanni Gambassi; Robert J Goldberg; Kate L Lapane
Journal:  J Cardiol       Date:  2017-10-28       Impact factor: 3.159

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