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Prototype End-of-Life Quality Measures Based on MDS 3 Data

Bibliographic Data

ID9100728
AuthorsDana B Mukamel (0000-0003-4147-5785, Medicine-Division of General Internal Medicine, University of California, Irvine, CA, corresponding author), Heather Ladd (0000-0003-4427-7178, Medicine-Division of General Internal Medicine, University of California, Irvine, CA, corresponding author), Thomas V Caprio (0000-0002-7216-7358, University of Rochester), Thomas Caprio (University of Rochester), Helena Temkin‐greener (0000-0001-6113-2953, University of Rochester), Helena Temkin-Greener (Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY)
Year2016
Volume54
Issue11
Pages1024-1032
Publication date2016-11-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000576
PMID27261636
OpenAlexW2409149250
LanguageEN
Citations received1
References cited19

BACKGROUND: The Nursing Home Compare (NHC) report card does not include end-of-life (EOL) quality measures (QMs). OBJECTIVES: To develop and examine the properties of EOL QMs. SUBJECTS: A total of 39,590 nursing home decedents in 626 facilities in New York State in fiscal year 2012. DESIGN: Statistical analyses of Minimum Data Set 3 data, including multivariable regression analyses and descriptive statistics. MEASURES: Death in the hospital, number of hospitalizations, pain, and depression during the last 90 days before death. RESULTS: Overall, 32% of residents died in the hospital. They averaged 0.49 hospitalizations in the last 90 days before death, 10% reported moderate to severe pain, and 17% had depressive symptoms. The EOL QMs exhibited variation across facilities similar to that observed for other QMs. They showed low or moderate correlations. The pain and depression QMs were significantly better among nursing homes ranked by NHC as 4 and 5 stars compared with those ranked as 1 and 2 stars for most dimensions. The hospitalizations QMs were significantly better among nursing homes ranked by NHC as 4 and 5 stars compared with those ranked as 1 and 2 stars only when compared on the staffing dimension. CONCLUSIONS: The Minimum Data Set 3 includes much information that can be used to assess quality of EOL care in nursing homes. The prototype measures we developed could be improved if information about advance directives and the nonclinical aspects of care, such as comfort and emotional support for both the resident and the family and respect for resident and family preferences, were collected

Depression (economics) · Descriptive statistics · End-of-life care · Minimum Data Set · Nursing homes · Palliative care · Report card · Staffing · Statistics · Frailty in Older Adults · Geriatric Care and Nursing Homes · Mathematics · Medicine · Nursing · Palliative Care and End-of-Life Issues · Psychology

  • Impact of Nursing Home Palliative Care Teams on End-of-Life Outcomes

    Helena Temkin‐greener, Helena Temkin-Greener et al.•Medical Care•2018

  • Family Perspectives on End-of-Life Care at the Last Place of Care

    Joan M Teno•JAMA•2004

  • Does Risk Adjustment of the CMS Quality Measures for Nursing Homes Matter

    Dana B Mukamel, Laurent G Glance et al.•Medical Care•2008

  • Risk-Adjusted Outcome Measures and Quality of Care in Nursing Homes

    Dana B Mukamel•Medical Care•1997

  • Nursing Home Costs and Risk-Adjusted Outcome Measures of Quality

    Dana B Mukamel, William D Spector•Medical Care•2000

Unique citing works1
Citations per year0,13
Citation span2018 - 2018 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1
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