Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0

Objectives To evaluate the predictive validity of an adapted version of the Minimum Data Set (MDS) Mortality Risk Index—Revised (MMRI‐R) based on MDS version 3.0 assessment items (MMRI‐v3) and to compare the predictive validity of the MMRI‐v3 with that of a single MDS item indicating limited life ex...

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Veröffentlicht in:Journal of the American Geriatrics Society (JAGS) 2018-12, Vol.66 (12), p.2353-2359
Hauptverfasser: Niznik, Joshua D., Zhang, Song, Mor, Maria K., Zhao, Xinhua, Ersek, Mary, Aspinall, Sherrie L., Gellad, Walid F., Thorpe, Joshua M., Hanlon, Joseph T., Schleiden, Loren J., Springer, Sydney, Thorpe, Carolyn T.
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container_end_page 2359
container_issue 12
container_start_page 2353
container_title Journal of the American Geriatrics Society (JAGS)
container_volume 66
creator Niznik, Joshua D.
Zhang, Song
Mor, Maria K.
Zhao, Xinhua
Ersek, Mary
Aspinall, Sherrie L.
Gellad, Walid F.
Thorpe, Joshua M.
Hanlon, Joseph T.
Schleiden, Loren J.
Springer, Sydney
Thorpe, Carolyn T.
description Objectives To evaluate the predictive validity of an adapted version of the Minimum Data Set (MDS) Mortality Risk Index—Revised (MMRI‐R) based on MDS version 3.0 assessment items (MMRI‐v3) and to compare the predictive validity of the MMRI‐v3 with that of a single MDS item indicating limited life expectancy (LLE). Design Retrospective, cross‐sectional study of MDS assessments. Other data sources included the Veterans Affairs (VA) Residential History File and Vital Status File. Setting VA nursing homes (NHs). Participants Veterans aged 65 and older newly admitted to VA NHs between July 1, 2012, and September 30, 2015. Measurements The dependent variable was death within 6 months of admission date. Independent variables included MDS items used to calculate MMRI‐v3 scores (renal failure, chronic heart failure, sex, age, dehydration, cancer, unintentional weight loss, shortness of breath, activity of daily living scale, poor appetite, acute change in mental status) and the MDS item indicating LLE. Results The predictive ability of the MMRI‐v3 for 6‐month mortality (c‐statistic 0.81) is as good as that of the original MMRI‐R (c‐statistic 0.76). Scores generated using the MMRI‐v3 had greater predictive ability than that of the single MDS indicator for LLE (c‐statistic 0.76); using the 2 together resulted in greater predictive ability (c‐statistic 0.86). Conclusion The MMRI‐v3 is a useful tool in research and clinical practice that accurately predicts 6‐month mortality in veterans residing in Veterans Affairs NHs. Identification of residents with LLE has great utility for studying palliative care interventions and may be helpful in guiding allocation of these services in clinical practice. J Am Geriatr Soc 66:2353–2359, 2018.
doi_str_mv 10.1111/jgs.15579
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Design Retrospective, cross‐sectional study of MDS assessments. Other data sources included the Veterans Affairs (VA) Residential History File and Vital Status File. Setting VA nursing homes (NHs). Participants Veterans aged 65 and older newly admitted to VA NHs between July 1, 2012, and September 30, 2015. Measurements The dependent variable was death within 6 months of admission date. Independent variables included MDS items used to calculate MMRI‐v3 scores (renal failure, chronic heart failure, sex, age, dehydration, cancer, unintentional weight loss, shortness of breath, activity of daily living scale, poor appetite, acute change in mental status) and the MDS item indicating LLE. Results The predictive ability of the MMRI‐v3 for 6‐month mortality (c‐statistic 0.81) is as good as that of the original MMRI‐R (c‐statistic 0.76). Scores generated using the MMRI‐v3 had greater predictive ability than that of the single MDS indicator for LLE (c‐statistic 0.76); using the 2 together resulted in greater predictive ability (c‐statistic 0.86). Conclusion The MMRI‐v3 is a useful tool in research and clinical practice that accurately predicts 6‐month mortality in veterans residing in Veterans Affairs NHs. Identification of residents with LLE has great utility for studying palliative care interventions and may be helpful in guiding allocation of these services in clinical practice. J Am Geriatr Soc 66:2353–2359, 2018.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/jgs.15579</identifier><identifier>PMID: 30335184</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Appetite loss ; Cancer ; Clinical medicine ; Dehydration ; Heart diseases ; Life span ; MDS ; Medical prognosis ; Mortality ; nursing home ; prognostic index ; Renal failure ; Veterans</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2018-12, Vol.66 (12), p.2353-2359</ispartof><rights>Published 2018. This article is a U.S. Government work and is in the public domain in the USA.</rights><rights>2018 American Geriatrics Society and Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4439-71ca8451bfb522c20414268208cc55395ab889e0c62945fde1faa0a34c13fbe33</citedby><cites>FETCH-LOGICAL-c4439-71ca8451bfb522c20414268208cc55395ab889e0c62945fde1faa0a34c13fbe33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjgs.15579$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjgs.15579$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30335184$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Niznik, Joshua D.</creatorcontrib><creatorcontrib>Zhang, Song</creatorcontrib><creatorcontrib>Mor, Maria K.</creatorcontrib><creatorcontrib>Zhao, Xinhua</creatorcontrib><creatorcontrib>Ersek, Mary</creatorcontrib><creatorcontrib>Aspinall, Sherrie L.</creatorcontrib><creatorcontrib>Gellad, Walid F.</creatorcontrib><creatorcontrib>Thorpe, Joshua M.</creatorcontrib><creatorcontrib>Hanlon, Joseph T.</creatorcontrib><creatorcontrib>Schleiden, Loren J.</creatorcontrib><creatorcontrib>Springer, Sydney</creatorcontrib><creatorcontrib>Thorpe, Carolyn T.</creatorcontrib><title>Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>Objectives To evaluate the predictive validity of an adapted version of the Minimum Data Set (MDS) Mortality Risk Index—Revised (MMRI‐R) based on MDS version 3.0 assessment items (MMRI‐v3) and to compare the predictive validity of the MMRI‐v3 with that of a single MDS item indicating limited life expectancy (LLE). Design Retrospective, cross‐sectional study of MDS assessments. Other data sources included the Veterans Affairs (VA) Residential History File and Vital Status File. Setting VA nursing homes (NHs). Participants Veterans aged 65 and older newly admitted to VA NHs between July 1, 2012, and September 30, 2015. Measurements The dependent variable was death within 6 months of admission date. Independent variables included MDS items used to calculate MMRI‐v3 scores (renal failure, chronic heart failure, sex, age, dehydration, cancer, unintentional weight loss, shortness of breath, activity of daily living scale, poor appetite, acute change in mental status) and the MDS item indicating LLE. Results The predictive ability of the MMRI‐v3 for 6‐month mortality (c‐statistic 0.81) is as good as that of the original MMRI‐R (c‐statistic 0.76). Scores generated using the MMRI‐v3 had greater predictive ability than that of the single MDS indicator for LLE (c‐statistic 0.76); using the 2 together resulted in greater predictive ability (c‐statistic 0.86). Conclusion The MMRI‐v3 is a useful tool in research and clinical practice that accurately predicts 6‐month mortality in veterans residing in Veterans Affairs NHs. Identification of residents with LLE has great utility for studying palliative care interventions and may be helpful in guiding allocation of these services in clinical practice. J Am Geriatr Soc 66:2353–2359, 2018.</description><subject>Appetite loss</subject><subject>Cancer</subject><subject>Clinical medicine</subject><subject>Dehydration</subject><subject>Heart diseases</subject><subject>Life span</subject><subject>MDS</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>nursing home</subject><subject>prognostic index</subject><subject>Renal failure</subject><subject>Veterans</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kV1LHDEUhkOp1NV60T9QAr3Ri1nzucncCKKtH7gIXfU2ZDIZm3VmsiaZ2v33RkelLZibQM5zHt7wAvAFoynOZ395G6eYc1F-ABPMKSk4w_wjmCCESCFnmG2CrRiXCGGCpPwENimilGPJJsAc1nqVdHK-h7qv4VnvktMtvNGtq8dn38C56103dPBYJw0XNsHd-fFiD859SJlLa_jTxbu8W9s_MHmYh_DGhvi0TafoM9hodBvtzsu9Da5_fL86Oi0uLk_Ojg4vCsMYLQuBjZaM46qpOCGGIIYZmckc2RjOacl1JWVpkZmRkvGmtrjRGmnKDKZNZSndBgejdzVUna2N7VPQrVoF1-mwVl479e-kd7_Urf-tBBNCoFkW7L4Igr8fbEyqc9HYttW99UNUBBPCpRAYZfTbf-jSD6HP38sUx4IK-UztjZQJPsZgm7cwGKmn6lSuTj1Xl9mvf6d_I1-7ysD-CDy41q7fN6nzk8WofATvCaDS</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Niznik, Joshua D.</creator><creator>Zhang, Song</creator><creator>Mor, Maria K.</creator><creator>Zhao, Xinhua</creator><creator>Ersek, Mary</creator><creator>Aspinall, Sherrie L.</creator><creator>Gellad, Walid F.</creator><creator>Thorpe, Joshua M.</creator><creator>Hanlon, Joseph T.</creator><creator>Schleiden, Loren J.</creator><creator>Springer, Sydney</creator><creator>Thorpe, Carolyn T.</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201812</creationdate><title>Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0</title><author>Niznik, Joshua D. ; Zhang, Song ; Mor, Maria K. ; Zhao, Xinhua ; Ersek, Mary ; Aspinall, Sherrie L. ; Gellad, Walid F. ; Thorpe, Joshua M. ; Hanlon, Joseph T. ; Schleiden, Loren J. ; Springer, Sydney ; Thorpe, Carolyn T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4439-71ca8451bfb522c20414268208cc55395ab889e0c62945fde1faa0a34c13fbe33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Appetite loss</topic><topic>Cancer</topic><topic>Clinical medicine</topic><topic>Dehydration</topic><topic>Heart diseases</topic><topic>Life span</topic><topic>MDS</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>nursing home</topic><topic>prognostic index</topic><topic>Renal failure</topic><topic>Veterans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Niznik, Joshua D.</creatorcontrib><creatorcontrib>Zhang, Song</creatorcontrib><creatorcontrib>Mor, Maria K.</creatorcontrib><creatorcontrib>Zhao, Xinhua</creatorcontrib><creatorcontrib>Ersek, Mary</creatorcontrib><creatorcontrib>Aspinall, Sherrie L.</creatorcontrib><creatorcontrib>Gellad, Walid F.</creatorcontrib><creatorcontrib>Thorpe, Joshua M.</creatorcontrib><creatorcontrib>Hanlon, Joseph T.</creatorcontrib><creatorcontrib>Schleiden, Loren J.</creatorcontrib><creatorcontrib>Springer, Sydney</creatorcontrib><creatorcontrib>Thorpe, Carolyn T.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Niznik, Joshua D.</au><au>Zhang, Song</au><au>Mor, Maria K.</au><au>Zhao, Xinhua</au><au>Ersek, Mary</au><au>Aspinall, Sherrie L.</au><au>Gellad, Walid F.</au><au>Thorpe, Joshua M.</au><au>Hanlon, Joseph T.</au><au>Schleiden, Loren J.</au><au>Springer, Sydney</au><au>Thorpe, Carolyn T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2018-12</date><risdate>2018</risdate><volume>66</volume><issue>12</issue><spage>2353</spage><epage>2359</epage><pages>2353-2359</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><abstract>Objectives To evaluate the predictive validity of an adapted version of the Minimum Data Set (MDS) Mortality Risk Index—Revised (MMRI‐R) based on MDS version 3.0 assessment items (MMRI‐v3) and to compare the predictive validity of the MMRI‐v3 with that of a single MDS item indicating limited life expectancy (LLE). Design Retrospective, cross‐sectional study of MDS assessments. Other data sources included the Veterans Affairs (VA) Residential History File and Vital Status File. Setting VA nursing homes (NHs). Participants Veterans aged 65 and older newly admitted to VA NHs between July 1, 2012, and September 30, 2015. Measurements The dependent variable was death within 6 months of admission date. Independent variables included MDS items used to calculate MMRI‐v3 scores (renal failure, chronic heart failure, sex, age, dehydration, cancer, unintentional weight loss, shortness of breath, activity of daily living scale, poor appetite, acute change in mental status) and the MDS item indicating LLE. Results The predictive ability of the MMRI‐v3 for 6‐month mortality (c‐statistic 0.81) is as good as that of the original MMRI‐R (c‐statistic 0.76). Scores generated using the MMRI‐v3 had greater predictive ability than that of the single MDS indicator for LLE (c‐statistic 0.76); using the 2 together resulted in greater predictive ability (c‐statistic 0.86). Conclusion The MMRI‐v3 is a useful tool in research and clinical practice that accurately predicts 6‐month mortality in veterans residing in Veterans Affairs NHs. Identification of residents with LLE has great utility for studying palliative care interventions and may be helpful in guiding allocation of these services in clinical practice. J Am Geriatr Soc 66:2353–2359, 2018.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30335184</pmid><doi>10.1111/jgs.15579</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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subjects Appetite loss
Cancer
Clinical medicine
Dehydration
Heart diseases
Life span
MDS
Medical prognosis
Mortality
nursing home
prognostic index
Renal failure
Veterans
title Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0
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