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Factors associated with hospital deaths in the oldest old: a cross-sectional study
to study associations between the likelihood of hospital death with patient demographics, cause of death and co-morbidities for people aged ≥85 at death who have been previously admitted (within 12 months of death) to hospital. a cross-sectional study, using death registration data and hospital epis...
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Published in: | Age and ageing 2016-05, Vol.45 (3), p.372-376 |
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description | to study associations between the likelihood of hospital death with patient demographics, cause of death and co-morbidities for people aged ≥85 at death who have been previously admitted (within 12 months of death) to hospital.
a cross-sectional study, using death registration data and hospital episode statistics, for 671,178 England residents who had been admitted to hospital during the 12 months before death and were aged 85 or over at death during 2008-12. The outcome variable was the likelihood of dying in hospital. Covariates included gender, age, social deprivation, care home residence, cause of death and co-morbidity. Potential associations were explored by multivariable regression analysis.
sixty-two per cent of the sample died in hospital. The likelihood of dying in hospital varies significantly with age, cause of death, deprivation, number of emergency hospital and co-morbidities. People aged over 90 at the time of death are less likely to die in hospital than those aged 85-89 [odds ratio (OR) for aged 90-94, 0.99; 95% confidence interval (CI) 0.98-1.00, OR for aged 95 and over, 0.91; 95% CI: 0.89-0.92]. People who are care home residents at the time of death are significantly less likely to die in hospital (OR 0.34; 95% CI: 0.34-0.35). Having a mention of dementia on the death certificate was significantly associated with a reduction in the likelihood of dying in hospital (OR 0.32; 95% CI: 0.31-0.32).
the likelihood of an older person dying in hospital is significantly associated with a number of socio-demographic factors, such as age and level of deprivation. Care home residence is significantly associated with a reduction in likelihood of hospital death. |
doi_str_mv | 10.1093/ageing/afw019 |
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a cross-sectional study, using death registration data and hospital episode statistics, for 671,178 England residents who had been admitted to hospital during the 12 months before death and were aged 85 or over at death during 2008-12. The outcome variable was the likelihood of dying in hospital. Covariates included gender, age, social deprivation, care home residence, cause of death and co-morbidity. Potential associations were explored by multivariable regression analysis.
sixty-two per cent of the sample died in hospital. The likelihood of dying in hospital varies significantly with age, cause of death, deprivation, number of emergency hospital and co-morbidities. People aged over 90 at the time of death are less likely to die in hospital than those aged 85-89 [odds ratio (OR) for aged 90-94, 0.99; 95% confidence interval (CI) 0.98-1.00, OR for aged 95 and over, 0.91; 95% CI: 0.89-0.92]. People who are care home residents at the time of death are significantly less likely to die in hospital (OR 0.34; 95% CI: 0.34-0.35). Having a mention of dementia on the death certificate was significantly associated with a reduction in the likelihood of dying in hospital (OR 0.32; 95% CI: 0.31-0.32).
the likelihood of an older person dying in hospital is significantly associated with a number of socio-demographic factors, such as age and level of deprivation. Care home residence is significantly associated with a reduction in likelihood of hospital death.</description><identifier>ISSN: 0002-0729</identifier><identifier>EISSN: 1468-2834</identifier><identifier>DOI: 10.1093/ageing/afw019</identifier><identifier>PMID: 26946050</identifier><identifier>CODEN: AANGAH</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Age ; Age Factors ; Aged ; Aged, 80 and over ; Aging ; Cause of Death ; Comorbidity ; Company business management ; Confidence Intervals ; Cross-Sectional Studies ; Death ; Death Certificates ; Dementia disorders ; Demographic aspects ; Demography ; Elderly ; Emergency medical services ; Female ; Health aspects ; Hospital Mortality - trends ; Humans ; Incidence ; Logistic Models ; Male ; Management ; Morbidity ; Mortality ; Multivariate Analysis ; Odds Ratio ; Older people ; Outcome Assessment (Health Care) ; Registries ; Regression analysis ; Residential care ; Risk Assessment ; Sex Factors ; Sociodemographic aspects ; Sociodemographics ; Statistical analysis ; Statistics ; United Kingdom ; Very old</subject><ispartof>Age and ageing, 2016-05, Vol.45 (3), p.372-376</ispartof><rights>The Author 2016. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><rights>Copyright Oxford Publishing Limited(England) May 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-195e8e071a887f8eed2837cb01a521d64759b03b606998049e32ff4c874acd823</citedby><cites>FETCH-LOGICAL-c328t-195e8e071a887f8eed2837cb01a521d64759b03b606998049e32ff4c874acd823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26946050$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pocock, Lucy Victoria</creatorcontrib><creatorcontrib>Ives, Alex</creatorcontrib><creatorcontrib>Pring, Andy</creatorcontrib><creatorcontrib>Verne, Julia</creatorcontrib><creatorcontrib>Purdy, Sarah</creatorcontrib><title>Factors associated with hospital deaths in the oldest old: a cross-sectional study</title><title>Age and ageing</title><addtitle>Age Ageing</addtitle><description>to study associations between the likelihood of hospital death with patient demographics, cause of death and co-morbidities for people aged ≥85 at death who have been previously admitted (within 12 months of death) to hospital.
a cross-sectional study, using death registration data and hospital episode statistics, for 671,178 England residents who had been admitted to hospital during the 12 months before death and were aged 85 or over at death during 2008-12. The outcome variable was the likelihood of dying in hospital. Covariates included gender, age, social deprivation, care home residence, cause of death and co-morbidity. Potential associations were explored by multivariable regression analysis.
sixty-two per cent of the sample died in hospital. The likelihood of dying in hospital varies significantly with age, cause of death, deprivation, number of emergency hospital and co-morbidities. People aged over 90 at the time of death are less likely to die in hospital than those aged 85-89 [odds ratio (OR) for aged 90-94, 0.99; 95% confidence interval (CI) 0.98-1.00, OR for aged 95 and over, 0.91; 95% CI: 0.89-0.92]. People who are care home residents at the time of death are significantly less likely to die in hospital (OR 0.34; 95% CI: 0.34-0.35). Having a mention of dementia on the death certificate was significantly associated with a reduction in the likelihood of dying in hospital (OR 0.32; 95% CI: 0.31-0.32).
the likelihood of an older person dying in hospital is significantly associated with a number of socio-demographic factors, such as age and level of deprivation. Care home residence is significantly associated with a reduction in likelihood of hospital death.</description><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Cause of Death</subject><subject>Comorbidity</subject><subject>Company business management</subject><subject>Confidence Intervals</subject><subject>Cross-Sectional Studies</subject><subject>Death</subject><subject>Death Certificates</subject><subject>Dementia disorders</subject><subject>Demographic aspects</subject><subject>Demography</subject><subject>Elderly</subject><subject>Emergency medical services</subject><subject>Female</subject><subject>Health aspects</subject><subject>Hospital Mortality - trends</subject><subject>Humans</subject><subject>Incidence</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Management</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Multivariate Analysis</subject><subject>Odds Ratio</subject><subject>Older people</subject><subject>Outcome Assessment (Health Care)</subject><subject>Registries</subject><subject>Regression analysis</subject><subject>Residential care</subject><subject>Risk Assessment</subject><subject>Sex Factors</subject><subject>Sociodemographic aspects</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>United Kingdom</subject><subject>Very old</subject><issn>0002-0729</issn><issn>1468-2834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNpd0U1LAzEQBuAgiq3Vo1cJePGymmSzm8SbFKtCoSB6Dml2to1sN3WTpfbfm1o_wNMw8DC8zIvQOSXXlKj8xizAtYsbU28IVQdoSHkpMyZzfoiGhBCWEcHUAJ2E8JZWWlB2jAasVLwkBRmi54mx0XcBmxC8dSZChTcuLvHSh7WLpsEVmLgM2LU4LgH7poIQd-MWG2w7H0IWwEbn22RD7KvtKTqqTRPg7HuO0Ovk_mX8mE1nD0_ju2lmcyZjRlUBEoigRkpRS4AqpRZ2TqgpGK1KLgo1J_m8JKVSknAFOatrbqXgxlaS5SN0tb-77vx7n1LplQsWmsa04PugqZCFyJUQItHLf_TN911K_KV2hHKSVLZXC9OAdq31bYSPaH3TwAJ0Cj-e6TtecCYZp_zPf72hg1qvO7cy3VZTonfl6H05el9O8hffKfr5Cqpf_dNG_glqVYpC</recordid><startdate>201605</startdate><enddate>201605</enddate><creator>Pocock, Lucy Victoria</creator><creator>Ives, Alex</creator><creator>Pring, Andy</creator><creator>Verne, Julia</creator><creator>Purdy, Sarah</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><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>7QJ</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201605</creationdate><title>Factors associated with hospital deaths in the oldest old: a cross-sectional study</title><author>Pocock, Lucy Victoria ; Ives, Alex ; Pring, Andy ; Verne, Julia ; Purdy, Sarah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-195e8e071a887f8eed2837cb01a521d64759b03b606998049e32ff4c874acd823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Cause of Death</topic><topic>Comorbidity</topic><topic>Company business management</topic><topic>Confidence Intervals</topic><topic>Cross-Sectional Studies</topic><topic>Death</topic><topic>Death Certificates</topic><topic>Dementia disorders</topic><topic>Demographic aspects</topic><topic>Demography</topic><topic>Elderly</topic><topic>Emergency medical services</topic><topic>Female</topic><topic>Health aspects</topic><topic>Hospital Mortality - trends</topic><topic>Humans</topic><topic>Incidence</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Management</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>Multivariate Analysis</topic><topic>Odds Ratio</topic><topic>Older people</topic><topic>Outcome Assessment (Health Care)</topic><topic>Registries</topic><topic>Regression analysis</topic><topic>Residential care</topic><topic>Risk Assessment</topic><topic>Sex Factors</topic><topic>Sociodemographic aspects</topic><topic>Sociodemographics</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>United Kingdom</topic><topic>Very old</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pocock, Lucy Victoria</creatorcontrib><creatorcontrib>Ives, Alex</creatorcontrib><creatorcontrib>Pring, Andy</creatorcontrib><creatorcontrib>Verne, Julia</creatorcontrib><creatorcontrib>Purdy, Sarah</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Age and ageing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pocock, Lucy Victoria</au><au>Ives, Alex</au><au>Pring, Andy</au><au>Verne, Julia</au><au>Purdy, Sarah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with hospital deaths in the oldest old: a cross-sectional study</atitle><jtitle>Age and ageing</jtitle><addtitle>Age Ageing</addtitle><date>2016-05</date><risdate>2016</risdate><volume>45</volume><issue>3</issue><spage>372</spage><epage>376</epage><pages>372-376</pages><issn>0002-0729</issn><eissn>1468-2834</eissn><coden>AANGAH</coden><abstract>to study associations between the likelihood of hospital death with patient demographics, cause of death and co-morbidities for people aged ≥85 at death who have been previously admitted (within 12 months of death) to hospital.
a cross-sectional study, using death registration data and hospital episode statistics, for 671,178 England residents who had been admitted to hospital during the 12 months before death and were aged 85 or over at death during 2008-12. The outcome variable was the likelihood of dying in hospital. Covariates included gender, age, social deprivation, care home residence, cause of death and co-morbidity. Potential associations were explored by multivariable regression analysis.
sixty-two per cent of the sample died in hospital. The likelihood of dying in hospital varies significantly with age, cause of death, deprivation, number of emergency hospital and co-morbidities. People aged over 90 at the time of death are less likely to die in hospital than those aged 85-89 [odds ratio (OR) for aged 90-94, 0.99; 95% confidence interval (CI) 0.98-1.00, OR for aged 95 and over, 0.91; 95% CI: 0.89-0.92]. People who are care home residents at the time of death are significantly less likely to die in hospital (OR 0.34; 95% CI: 0.34-0.35). Having a mention of dementia on the death certificate was significantly associated with a reduction in the likelihood of dying in hospital (OR 0.32; 95% CI: 0.31-0.32).
the likelihood of an older person dying in hospital is significantly associated with a number of socio-demographic factors, such as age and level of deprivation. Care home residence is significantly associated with a reduction in likelihood of hospital death.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26946050</pmid><doi>10.1093/ageing/afw019</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); Oxford Journals Online |
subjects | Age Age Factors Aged Aged, 80 and over Aging Cause of Death Comorbidity Company business management Confidence Intervals Cross-Sectional Studies Death Death Certificates Dementia disorders Demographic aspects Demography Elderly Emergency medical services Female Health aspects Hospital Mortality - trends Humans Incidence Logistic Models Male Management Morbidity Mortality Multivariate Analysis Odds Ratio Older people Outcome Assessment (Health Care) Registries Regression analysis Residential care Risk Assessment Sex Factors Sociodemographic aspects Sociodemographics Statistical analysis Statistics United Kingdom Very old |
title | Factors associated with hospital deaths in the oldest old: a cross-sectional study |
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