Determinants of performance failure in the nursing home industry
This study investigates the determinants of performance failure in U.S. nursing homes. The sample consisted of 91,168 surveys from 10,901 facilities included in the Online Survey Certification and Reporting system from 1996 to 2005. Failed performance was defined as termination from the Medicare and...
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Veröffentlicht in: | Social science & medicine (1982) 2009-03, Vol.68 (5), p.933-940 |
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creator | Zinn, Jacqueline Mor, Vincent Feng, Zhanlian Intrator, Orna |
description | This study investigates the determinants of performance failure in U.S. nursing homes. The sample consisted of 91,168 surveys from 10,901 facilities included in the Online Survey Certification and Reporting system from 1996 to 2005. Failed performance was defined as termination from the Medicare and Medicaid programs. Determinants of performance failure were identified as core structural change (ownership change), peripheral change (related diversification), prior financial and quality of care performance, size and environmental shock (Medicaid case mix reimbursement and prospective payment system introduction). Additional control variables that could contribute to the likelihood of performance failure were included in a cross-sectional time series generalized estimating equation logistic regression model. Our results support the contention, derived from structural inertia theory, that where in an organization's structure change occurs determines whether it is adaptive or disruptive. In addition, while poor prior financial and quality performance and the introduction of case mix reimbursement increases the risk of failure, larger size is protective, decreasing the likelihood of performance failure. |
doi_str_mv | 10.1016/j.socscimed.2008.12.014 |
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The sample consisted of 91,168 surveys from 10,901 facilities included in the Online Survey Certification and Reporting system from 1996 to 2005. Failed performance was defined as termination from the Medicare and Medicaid programs. Determinants of performance failure were identified as core structural change (ownership change), peripheral change (related diversification), prior financial and quality of care performance, size and environmental shock (Medicaid case mix reimbursement and prospective payment system introduction). Additional control variables that could contribute to the likelihood of performance failure were included in a cross-sectional time series generalized estimating equation logistic regression model. Our results support the contention, derived from structural inertia theory, that where in an organization's structure change occurs determines whether it is adaptive or disruptive. In addition, while poor prior financial and quality performance and the introduction of case mix reimbursement increases the risk of failure, larger size is protective, decreasing the likelihood of performance failure.</description><identifier>ISSN: 0277-9536</identifier><identifier>EISSN: 1873-5347</identifier><identifier>DOI: 10.1016/j.socscimed.2008.12.014</identifier><identifier>PMID: 19128865</identifier><identifier>CODEN: SSCMAW</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Case mix reimbursement ; Delivery Systems ; Diagnosis-Related Groups - economics ; Failure ; Health Care Services ; Health Services Research ; Humans ; Insurance, Health, Reimbursement - economics ; Internet ; Job Performance ; Logistic Models ; Longitudinal Studies ; Medicaid ; Medical research ; Medicare ; Nursing ; Nursing home industry ; Nursing Homes ; Nursing Homes - organization & administration ; Nursing Homes - standards ; Organizational Culture ; Organizational Innovation - economics ; Organizational structure ; Performance failure ; Quality of care ; Quality of Health Care ; Quality of Health Care - economics ; Residential care ; Risk ; Structural inertia theory ; Studies ; U.S.A ; United States ; USA ; USA Nursing home industry Case mix reimbursement Performance failure Structural inertia theory</subject><ispartof>Social science & medicine (1982), 2009-03, Vol.68 (5), p.933-940</ispartof><rights>2009 Elsevier Ltd</rights><rights>Copyright Pergamon Press Inc. 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All rights reserved. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-b5c9a155eb4208671bfa4506b33bc71b743ab88052ace74499124df8eb1f54c33</citedby><cites>FETCH-LOGICAL-c691t-b5c9a155eb4208671bfa4506b33bc71b743ab88052ace74499124df8eb1f54c33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.socscimed.2008.12.014$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,4008,27924,27925,33774,33775,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19128865$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/eeesocmed/v_3a68_3ay_3a2009_3ai_3a5_3ap_3a933-940.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Zinn, Jacqueline</creatorcontrib><creatorcontrib>Mor, Vincent</creatorcontrib><creatorcontrib>Feng, Zhanlian</creatorcontrib><creatorcontrib>Intrator, Orna</creatorcontrib><title>Determinants of performance failure in the nursing home industry</title><title>Social science & medicine (1982)</title><addtitle>Soc Sci Med</addtitle><description>This study investigates the determinants of performance failure in U.S. nursing homes. The sample consisted of 91,168 surveys from 10,901 facilities included in the Online Survey Certification and Reporting system from 1996 to 2005. Failed performance was defined as termination from the Medicare and Medicaid programs. Determinants of performance failure were identified as core structural change (ownership change), peripheral change (related diversification), prior financial and quality of care performance, size and environmental shock (Medicaid case mix reimbursement and prospective payment system introduction). Additional control variables that could contribute to the likelihood of performance failure were included in a cross-sectional time series generalized estimating equation logistic regression model. Our results support the contention, derived from structural inertia theory, that where in an organization's structure change occurs determines whether it is adaptive or disruptive. In addition, while poor prior financial and quality performance and the introduction of case mix reimbursement increases the risk of failure, larger size is protective, decreasing the likelihood of performance failure.</description><subject>Case mix reimbursement</subject><subject>Delivery Systems</subject><subject>Diagnosis-Related Groups - economics</subject><subject>Failure</subject><subject>Health Care Services</subject><subject>Health Services Research</subject><subject>Humans</subject><subject>Insurance, Health, Reimbursement - economics</subject><subject>Internet</subject><subject>Job Performance</subject><subject>Logistic Models</subject><subject>Longitudinal Studies</subject><subject>Medicaid</subject><subject>Medical research</subject><subject>Medicare</subject><subject>Nursing</subject><subject>Nursing home industry</subject><subject>Nursing Homes</subject><subject>Nursing Homes - organization & administration</subject><subject>Nursing Homes - standards</subject><subject>Organizational Culture</subject><subject>Organizational Innovation - economics</subject><subject>Organizational structure</subject><subject>Performance failure</subject><subject>Quality of care</subject><subject>Quality of Health Care</subject><subject>Quality of Health Care - economics</subject><subject>Residential care</subject><subject>Risk</subject><subject>Structural inertia theory</subject><subject>Studies</subject><subject>U.S.A</subject><subject>United States</subject><subject>USA</subject><subject>USA Nursing home industry Case mix reimbursement Performance failure Structural inertia theory</subject><issn>0277-9536</issn><issn>1873-5347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>X2L</sourceid><sourceid>BHHNA</sourceid><recordid>eNqNkk2P0zAQhiMEYrsLfwEiDntL8fgjsS-I1cLyoZW4wNly3MnWVRMXO1mp_56JWpWPS7E0tpw883o8foviNbAlMKjfbpY5-uxDj6slZ0wvgS8ZyCfFAnQjKiVk87RYMN40lVGiviguc94wxoBp8by4AANc61otivcfcMTUh8ENYy5jV-4wdTH1bvBYdi5sp4RlGMpxjeUwpRyGh3Id-_nbaspj2r8onnVum_Hlcb0qftx9_H77ubr_9unL7c195WsDY9Uqbxwoha3kTNcNtJ2TitWtEK2nXSOFa7VmijuPjZSGKpSrTmMLnZJeiKvi3UF3N7V0a4_DmNzW7lLoXdrb6IL9-88Q1vYhPlpRG059IIHro0CKPyfMo-1D9rjdugHjlG1dG6VA8_MgNMqA_A9FEFIzOK8oGpDcmPMgZ0LRkAS--QfcxCkN9ACWC0anKjWrNQfIp5hzwu7ULWB2tpHd2JON7GwjC9ySjSjz6yEz4Q79KQ0RiZ9haqurNU17Cso0tAQKRbGjMEJYI5ldjz2Jvfrz5X4XcTQhATcHAMk_jwGTpZKQDLgKCf1oVzGcrfgXelH1_w</recordid><startdate>20090301</startdate><enddate>20090301</enddate><creator>Zinn, Jacqueline</creator><creator>Mor, Vincent</creator><creator>Feng, Zhanlian</creator><creator>Intrator, Orna</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Pergamon Press Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U3</scope><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>WZK</scope><scope>7ST</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>C1K</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090301</creationdate><title>Determinants of performance failure in the nursing home industry</title><author>Zinn, Jacqueline ; Mor, Vincent ; Feng, Zhanlian ; Intrator, Orna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-b5c9a155eb4208671bfa4506b33bc71b743ab88052ace74499124df8eb1f54c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Case mix reimbursement</topic><topic>Delivery Systems</topic><topic>Diagnosis-Related Groups - economics</topic><topic>Failure</topic><topic>Health Care Services</topic><topic>Health Services Research</topic><topic>Humans</topic><topic>Insurance, Health, Reimbursement - economics</topic><topic>Internet</topic><topic>Job Performance</topic><topic>Logistic Models</topic><topic>Longitudinal Studies</topic><topic>Medicaid</topic><topic>Medical research</topic><topic>Medicare</topic><topic>Nursing</topic><topic>Nursing home industry</topic><topic>Nursing Homes</topic><topic>Nursing Homes - organization & administration</topic><topic>Nursing Homes - standards</topic><topic>Organizational Culture</topic><topic>Organizational Innovation - economics</topic><topic>Organizational structure</topic><topic>Performance failure</topic><topic>Quality of care</topic><topic>Quality of Health Care</topic><topic>Quality of Health Care - economics</topic><topic>Residential care</topic><topic>Risk</topic><topic>Structural inertia theory</topic><topic>Studies</topic><topic>U.S.A</topic><topic>United States</topic><topic>USA</topic><topic>USA Nursing home industry Case mix reimbursement Performance failure Structural inertia theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zinn, Jacqueline</creatorcontrib><creatorcontrib>Mor, Vincent</creatorcontrib><creatorcontrib>Feng, Zhanlian</creatorcontrib><creatorcontrib>Intrator, Orna</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Sociological Abstracts (Ovid)</collection><collection>Environment Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Social science & medicine (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zinn, Jacqueline</au><au>Mor, Vincent</au><au>Feng, Zhanlian</au><au>Intrator, Orna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of performance failure in the nursing home industry</atitle><jtitle>Social science & medicine (1982)</jtitle><addtitle>Soc Sci Med</addtitle><date>2009-03-01</date><risdate>2009</risdate><volume>68</volume><issue>5</issue><spage>933</spage><epage>940</epage><pages>933-940</pages><issn>0277-9536</issn><eissn>1873-5347</eissn><coden>SSCMAW</coden><abstract>This study investigates the determinants of performance failure in U.S. nursing homes. The sample consisted of 91,168 surveys from 10,901 facilities included in the Online Survey Certification and Reporting system from 1996 to 2005. Failed performance was defined as termination from the Medicare and Medicaid programs. Determinants of performance failure were identified as core structural change (ownership change), peripheral change (related diversification), prior financial and quality of care performance, size and environmental shock (Medicaid case mix reimbursement and prospective payment system introduction). Additional control variables that could contribute to the likelihood of performance failure were included in a cross-sectional time series generalized estimating equation logistic regression model. Our results support the contention, derived from structural inertia theory, that where in an organization's structure change occurs determines whether it is adaptive or disruptive. In addition, while poor prior financial and quality performance and the introduction of case mix reimbursement increases the risk of failure, larger size is protective, decreasing the likelihood of performance failure.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>19128865</pmid><doi>10.1016/j.socscimed.2008.12.014</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Case mix reimbursement Delivery Systems Diagnosis-Related Groups - economics Failure Health Care Services Health Services Research Humans Insurance, Health, Reimbursement - economics Internet Job Performance Logistic Models Longitudinal Studies Medicaid Medical research Medicare Nursing Nursing home industry Nursing Homes Nursing Homes - organization & administration Nursing Homes - standards Organizational Culture Organizational Innovation - economics Organizational structure Performance failure Quality of care Quality of Health Care Quality of Health Care - economics Residential care Risk Structural inertia theory Studies U.S.A United States USA USA Nursing home industry Case mix reimbursement Performance failure Structural inertia theory |
title | Determinants of performance failure in the nursing home industry |
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