Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators
Background There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help c...
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Veröffentlicht in: | Journal of the American Geriatrics Society (JAGS) 2016-12, Vol.64 (12), p.e259-e264 |
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creator | Xu, Dongjuan Kane, Robert L. Shippee, Tetyana Lewis, Teresa M. |
description | Background
There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help consumers, their families and advocates to choose nursing facilities.
Objectives
This study uses quality indicators (QIs) from a state nursing home report card to explore the dimensionality of quality in nursing homes and to determine whether aggregation at the resident versus facility level yields the same underlying dimensions.
Design
Cross‐sectional study.
Setting
382 Medicare‐ and/or Medicaid‐certified nursing homes in Minnesota.
Participants
Residents admitted to the nursing homes during 2011–2012.
Measurements
16 QIs obtained from the Minimum Data Set 3.0 assessment instrument between 2011 and 2012 were used in the exploratory factor analysis.
Results
Factor analysis results suggest four main factors or dimensions to characterize facility performance: continence care (including 4 QIs), restraints and behavioral symptoms (including 3 QIs), care for specific conditions (including 6 QIs), and physical functioning (including 3 QIs). The resident‐level and facility‐level results generally agreed for 11 QIs.
Conclusion
Nursing home quality of care can be captured in summary measures, which can be used by consumers, providers and researchers. Reporting at the resident or facility level will depend on the purpose. These summary measures can be used by policy‐makers to identify and reward high‐performing facilities and by families to choose nursing facilities for care. |
doi_str_mv | 10.1111/jgs.14562 |
format | Article |
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There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help consumers, their families and advocates to choose nursing facilities.
Objectives
This study uses quality indicators (QIs) from a state nursing home report card to explore the dimensionality of quality in nursing homes and to determine whether aggregation at the resident versus facility level yields the same underlying dimensions.
Design
Cross‐sectional study.
Setting
382 Medicare‐ and/or Medicaid‐certified nursing homes in Minnesota.
Participants
Residents admitted to the nursing homes during 2011–2012.
Measurements
16 QIs obtained from the Minimum Data Set 3.0 assessment instrument between 2011 and 2012 were used in the exploratory factor analysis.
Results
Factor analysis results suggest four main factors or dimensions to characterize facility performance: continence care (including 4 QIs), restraints and behavioral symptoms (including 3 QIs), care for specific conditions (including 6 QIs), and physical functioning (including 3 QIs). The resident‐level and facility‐level results generally agreed for 11 QIs.
Conclusion
Nursing home quality of care can be captured in summary measures, which can be used by consumers, providers and researchers. Reporting at the resident or facility level will depend on the purpose. These summary measures can be used by policy‐makers to identify and reward high‐performing facilities and by families to choose nursing facilities for care.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/jgs.14562</identifier><identifier>PMID: 27996107</identifier><identifier>CODEN: JAGSAF</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Aged ; Cross-Sectional Studies ; exploratory factor analysis ; Factor Analysis, Statistical ; Geriatrics ; Humans ; Medicaid ; Medicare ; Minnesota ; Nursing homes ; Nursing Homes - standards ; quality indicators ; Quality Indicators, Health Care ; Quality of care ; United States</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2016-12, Vol.64 (12), p.e259-e264</ispartof><rights>2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society</rights><rights>2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.</rights><rights>2016 American Geriatrics Society and Wiley Periodicals, Inc</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3912-a63ab5ac00609ea81f1addd95b2b0c018ea26d2a8748b94fc14ae3daa07ad6de3</citedby><cites>FETCH-LOGICAL-c3912-a63ab5ac00609ea81f1addd95b2b0c018ea26d2a8748b94fc14ae3daa07ad6de3</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.14562$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjgs.14562$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27996107$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Dongjuan</creatorcontrib><creatorcontrib>Kane, Robert L.</creatorcontrib><creatorcontrib>Shippee, Tetyana</creatorcontrib><creatorcontrib>Lewis, Teresa M.</creatorcontrib><title>Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>Background
There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help consumers, their families and advocates to choose nursing facilities.
Objectives
This study uses quality indicators (QIs) from a state nursing home report card to explore the dimensionality of quality in nursing homes and to determine whether aggregation at the resident versus facility level yields the same underlying dimensions.
Design
Cross‐sectional study.
Setting
382 Medicare‐ and/or Medicaid‐certified nursing homes in Minnesota.
Participants
Residents admitted to the nursing homes during 2011–2012.
Measurements
16 QIs obtained from the Minimum Data Set 3.0 assessment instrument between 2011 and 2012 were used in the exploratory factor analysis.
Results
Factor analysis results suggest four main factors or dimensions to characterize facility performance: continence care (including 4 QIs), restraints and behavioral symptoms (including 3 QIs), care for specific conditions (including 6 QIs), and physical functioning (including 3 QIs). The resident‐level and facility‐level results generally agreed for 11 QIs.
Conclusion
Nursing home quality of care can be captured in summary measures, which can be used by consumers, providers and researchers. Reporting at the resident or facility level will depend on the purpose. These summary measures can be used by policy‐makers to identify and reward high‐performing facilities and by families to choose nursing facilities for care.</description><subject>Aged</subject><subject>Cross-Sectional Studies</subject><subject>exploratory factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Geriatrics</subject><subject>Humans</subject><subject>Medicaid</subject><subject>Medicare</subject><subject>Minnesota</subject><subject>Nursing homes</subject><subject>Nursing Homes - standards</subject><subject>quality indicators</subject><subject>Quality Indicators, Health Care</subject><subject>Quality of care</subject><subject>United States</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10c1O3DAUBWCroipT2kVfoLLEhi4Cvk6cH3ZogGEQpa3aCnbWTeyAhySe2olK3r4OM7BAqjeW7e8eyTqEfAJ2CGEdre78ISQi5W_IDETMI5GA2CEzxhiP8hSSXfLe-xVjwFmevyO7PCuKFFg2I-NS6a439Wi6Ozq3nTe-DxcUOxWO99pNh1PT6vASXqmt6fXg_KQvbKvpjwEb04_H9Oxx3ViHvXUjPccq7PSkw2YMgdPQ1tFlp0w1Kf-BvK2x8frjdt8jv8_Pfs0voqtvi-X85Cqq4gJ4hGmMpcCKsZQVGnOoAZVShSh5ySoGuUaeKo55luRlkdQVJKhjhcgyVKnS8R452OSunf0zaN_L1vhKNw122g5eQi6AFwVkLND9V3RlBxd-8aQCyhIeB_VloypnvXe6lmtnWnSjBCanPmToQz71EeznbeJQtlq9yOcCAjjagL-m0eP_k-Tl4udzZLSZmJp6fJlA9yDTLM6EvLleSPad34rLU5Bf439bX6VV</recordid><startdate>201612</startdate><enddate>201612</enddate><creator>Xu, Dongjuan</creator><creator>Kane, Robert L.</creator><creator>Shippee, Tetyana</creator><creator>Lewis, Teresa M.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201612</creationdate><title>Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators</title><author>Xu, Dongjuan ; Kane, Robert L. ; Shippee, Tetyana ; Lewis, Teresa M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3912-a63ab5ac00609ea81f1addd95b2b0c018ea26d2a8748b94fc14ae3daa07ad6de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Cross-Sectional Studies</topic><topic>exploratory factor analysis</topic><topic>Factor Analysis, Statistical</topic><topic>Geriatrics</topic><topic>Humans</topic><topic>Medicaid</topic><topic>Medicare</topic><topic>Minnesota</topic><topic>Nursing homes</topic><topic>Nursing Homes - standards</topic><topic>quality indicators</topic><topic>Quality Indicators, Health Care</topic><topic>Quality of care</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Dongjuan</creatorcontrib><creatorcontrib>Kane, Robert L.</creatorcontrib><creatorcontrib>Shippee, Tetyana</creatorcontrib><creatorcontrib>Lewis, Teresa M.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><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><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Dongjuan</au><au>Kane, Robert L.</au><au>Shippee, Tetyana</au><au>Lewis, Teresa M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2016-12</date><risdate>2016</risdate><volume>64</volume><issue>12</issue><spage>e259</spage><epage>e264</epage><pages>e259-e264</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><coden>JAGSAF</coden><abstract>Background
There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help consumers, their families and advocates to choose nursing facilities.
Objectives
This study uses quality indicators (QIs) from a state nursing home report card to explore the dimensionality of quality in nursing homes and to determine whether aggregation at the resident versus facility level yields the same underlying dimensions.
Design
Cross‐sectional study.
Setting
382 Medicare‐ and/or Medicaid‐certified nursing homes in Minnesota.
Participants
Residents admitted to the nursing homes during 2011–2012.
Measurements
16 QIs obtained from the Minimum Data Set 3.0 assessment instrument between 2011 and 2012 were used in the exploratory factor analysis.
Results
Factor analysis results suggest four main factors or dimensions to characterize facility performance: continence care (including 4 QIs), restraints and behavioral symptoms (including 3 QIs), care for specific conditions (including 6 QIs), and physical functioning (including 3 QIs). The resident‐level and facility‐level results generally agreed for 11 QIs.
Conclusion
Nursing home quality of care can be captured in summary measures, which can be used by consumers, providers and researchers. Reporting at the resident or facility level will depend on the purpose. These summary measures can be used by policy‐makers to identify and reward high‐performing facilities and by families to choose nursing facilities for care.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>27996107</pmid><doi>10.1111/jgs.14562</doi><tpages>6</tpages></addata></record> |
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subjects | Aged Cross-Sectional Studies exploratory factor analysis Factor Analysis, Statistical Geriatrics Humans Medicaid Medicare Minnesota Nursing homes Nursing Homes - standards quality indicators Quality Indicators, Health Care Quality of care United States |
title | Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators |
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