Literature DB >> 30054095

Identifying potential long-stay residents in veterans health administration nursing homes.

Whitney L Mills1, Jun Ying2, Mark E Kunik3.   

Abstract

Veterans Affairs nursing homes (Community Living Centers; CLCs) have largely shifted focus to providing short-term rehabilitative care, preferring longer-term care to be provided in contract nursing homes or at home. The goal of this retrospective cohort study is to identify resident characteristics associated with longer length of stay using the CLC Minimum Data Set (n = 35,114). Length of stay was defined as three groups: short (<90 days), moderate (91-365 days), and long (beyond 365 days). Residents who remained beyond 90 days were more likely to be black and to have a diagnosis of Alzheimer's disease, dementia, or schizophrenia, lived in another facility prior to admission, had a financial power of attorney, and had greater dependence in activities of daily living. Unique predictors of those who remained beyond 365 days were older age, cancer diagnosis, cognitive impairment, and admission from assisted living. Our findings can help CLC staff with admission decisions. Published by Elsevier Inc.

Entities:  

Keywords:  Length of stay; Nursing home; Person-environment fit; Transitions

Mesh:

Year:  2018        PMID: 30054095      PMCID: PMC9477184          DOI: 10.1016/j.gerinurse.2018.06.004

Source DB:  PubMed          Journal:  Geriatr Nurs        ISSN: 0197-4572            Impact factor:   2.525


  13 in total

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Authors:  J N Morris; B E Fries; S A Morris
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2.  Length of stay in VA nursing homes. Comparative characteristics of brief-, medium-, and long-stay residents.

Authors:  B C Williams; B E Fries; D R Mehr
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Authors:  Greg Arling; Robert L Kane; Valerie Cooke; Teresa Lewis
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4.  Prospects for transferring nursing home residents to the community.

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5.  Commentary: irrational exuberance for the aging in place of vulnerable low-income older homeowners.

Authors:  Stephen M Golant
Journal:  J Aging Soc Policy       Date:  2008

6.  Conceptualization of a toolkit to evaluate everyday competence in planning transitions from nursing homes to the community.

Authors:  Whitney L Mills; A Lynn Snow; Nancy L Wilson; Aanand D Naik; Mark E Kunik
Journal:  J Am Med Dir Assoc       Date:  2013-06-21       Impact factor: 4.669

7.  Refining a case-mix measure for nursing homes: Resource Utilization Groups (RUG-III).

Authors:  B E Fries; D P Schneider; W J Foley; M Gavazzi; R Burke; E Cornelius
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8.  The MDS-CHESS scale: a new measure to predict mortality in institutionalized older people.

Authors:  John P Hirdes; Dinnus H Frijters; Gary F Teare
Journal:  J Am Geriatr Soc       Date:  2003-01       Impact factor: 5.562

9.  Who transitions to the community from nursing homes? Comparing patterns and predictors for short-stay and long-stay residents.

Authors:  Zachary D Gassoumis; Kathryn T Fike; Anna N Rahman; Susan M Enguidanos; Kathleen H Wilber
Journal:  Home Health Care Serv Q       Date:  2013

10.  Making and Executing Decisions for Safe and Independent Living (MED-SAIL): development and validation of a brief screening tool.

Authors:  Whitney L Mills; Tziona Regev; Mark E Kunik; Nancy L Wilson; Jennifer Moye; Laurence B McCullough; Aanand D Naik
Journal:  Am J Geriatr Psychiatry       Date:  2013-03-25       Impact factor: 4.105

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