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...
Gespeichert in:
Veröffentlicht in: | Journal of the American Geriatrics Society (JAGS) 2018-12, Vol.66 (12), p.2353-2359 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7477706</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2122587710</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4439-71ca8451bfb522c20414268208cc55395ab889e0c62945fde1faa0a34c13fbe33</originalsourceid><addsrcrecordid>eNp1kV1LHDEUhkOp1NV60T9QAr3Ri1nzucncCKKtH7gIXfU2ZDIZm3VmsiaZ2v33RkelLZibQM5zHt7wAvAFoynOZ395G6eYc1F-ABPMKSk4w_wjmCCESCFnmG2CrRiXCGGCpPwENimilGPJJsAc1nqVdHK-h7qv4VnvktMtvNGtq8dn38C56103dPBYJw0XNsHd-fFiD859SJlLa_jTxbu8W9s_MHmYh_DGhvi0TafoM9hodBvtzsu9Da5_fL86Oi0uLk_Ojg4vCsMYLQuBjZaM46qpOCGGIIYZmckc2RjOacl1JWVpkZmRkvGmtrjRGmnKDKZNZSndBgejdzVUna2N7VPQrVoF1-mwVl479e-kd7_Urf-tBBNCoFkW7L4Igr8fbEyqc9HYttW99UNUBBPCpRAYZfTbf-jSD6HP38sUx4IK-UztjZQJPsZgm7cwGKmn6lSuTj1Xl9mvf6d_I1-7ysD-CDy41q7fN6nzk8WofATvCaDS</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2151737810</pqid></control><display><type>article</type><title>Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0</title><source>Access via Wiley Online Library</source><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.</creator><creatorcontrib>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.</creatorcontrib><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><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 & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & 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> |
fulltext | fulltext |
identifier | ISSN: 0002-8614 |
ispartof | Journal of the American Geriatrics Society (JAGS), 2018-12, Vol.66 (12), p.2353-2359 |
issn | 0002-8614 1532-5415 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7477706 |
source | Access via Wiley Online Library |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T10%3A22%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adaptation%20and%20Initial%20Validation%20of%20Minimum%20Data%20Set%20(MDS)%20Mortality%20Risk%20Index%20to%20MDS%20Version%203.0&rft.jtitle=Journal%20of%20the%20American%20Geriatrics%20Society%20(JAGS)&rft.au=Niznik,%20Joshua%20D.&rft.date=2018-12&rft.volume=66&rft.issue=12&rft.spage=2353&rft.epage=2359&rft.pages=2353-2359&rft.issn=0002-8614&rft.eissn=1532-5415&rft_id=info:doi/10.1111/jgs.15579&rft_dat=%3Cproquest_pubme%3E2122587710%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2151737810&rft_id=info:pmid/30335184&rfr_iscdi=true |