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Hospital readmission among older medical patients in Hong Kong
To study the risk factors for hospital readmission among older medical patients in Hong Kong. Cohort study. 1,204 consecutive hospital medical patients aged 70 years and over in Hong Kong. Subjects were interviewed by a research nurse on discharge, and were followed up for six months. Unplanned hosp...
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Published in: | Journal of the Royal College of Physicians of London 1999-03, Vol.33 (2), p.153-156 |
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container_title | Journal of the Royal College of Physicians of London |
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creator | KWOK, T LAU, E WOO, J LUK, K. H WONG, E SHAM, A LEE, S. H |
description | To study the risk factors for hospital readmission among older medical patients in Hong Kong.
Cohort study.
1,204 consecutive hospital medical patients aged 70 years and over in Hong Kong.
Subjects were interviewed by a research nurse on discharge, and were followed up for six months.
Unplanned hospital readmissions were identified and classified as avoidable or unavoidable. The risk factors for early (within 28 days), recurrent (three or more) and avoidable readmissions were studied by multiple logistic regression.
Four hundred and fifty-five patients (37.7%) had at least one readmission in six months; 18%, 6.4%, and 2.9% of subjects had early, recurrent and avoidable readmissions respectively. Recent hospital stay predicted all types of readmissions. Early readmission was predicted by length of stay, Barthel index (assessment of physical and mental function) and unresolved medical problems. Recurrence readmission was predicted by poor family support, residence in a home for the elderly and unresolved medical problems.
Hospital readmission may be prevented by ensuring adequate length of stay, so that medical problems are resolved before discharge. |
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Cohort study.
1,204 consecutive hospital medical patients aged 70 years and over in Hong Kong.
Subjects were interviewed by a research nurse on discharge, and were followed up for six months.
Unplanned hospital readmissions were identified and classified as avoidable or unavoidable. The risk factors for early (within 28 days), recurrent (three or more) and avoidable readmissions were studied by multiple logistic regression.
Four hundred and fifty-five patients (37.7%) had at least one readmission in six months; 18%, 6.4%, and 2.9% of subjects had early, recurrent and avoidable readmissions respectively. Recent hospital stay predicted all types of readmissions. Early readmission was predicted by length of stay, Barthel index (assessment of physical and mental function) and unresolved medical problems. Recurrence readmission was predicted by poor family support, residence in a home for the elderly and unresolved medical problems.
Hospital readmission may be prevented by ensuring adequate length of stay, so that medical problems are resolved before discharge.</description><identifier>ISSN: 0035-8819</identifier><identifier>PMID: 10340264</identifier><language>eng</language><publisher>London: Royal College of Physicians of London</publisher><subject>20th century ; Aged ; Biology ; Cohort Studies ; Female ; Follow-Up Studies ; Health Services for the Aged - statistics & numerical data ; Health Services for the Aged - utilization ; History of science and technology ; Hong Kong - epidemiology ; Hospitals ; Humans ; Hygiene; hospitals ; Length of Stay - statistics & numerical data ; Life sciences ; Logistic Models ; Male ; Medicine; surgery; pharmacy ; Original Papers ; Patient Readmission - statistics & numerical data ; Risk Factors ; Time Factors</subject><ispartof>Journal of the Royal College of Physicians of London, 1999-03, Vol.33 (2), p.153-156</ispartof><rights>2000 INIST-CNRS</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665682/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665682/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,53791,53793</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1551525$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10340264$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>KWOK, T</creatorcontrib><creatorcontrib>LAU, E</creatorcontrib><creatorcontrib>WOO, J</creatorcontrib><creatorcontrib>LUK, K. H</creatorcontrib><creatorcontrib>WONG, E</creatorcontrib><creatorcontrib>SHAM, A</creatorcontrib><creatorcontrib>LEE, S. H</creatorcontrib><title>Hospital readmission among older medical patients in Hong Kong</title><title>Journal of the Royal College of Physicians of London</title><addtitle>J R Coll Physicians Lond</addtitle><description>To study the risk factors for hospital readmission among older medical patients in Hong Kong.
Cohort study.
1,204 consecutive hospital medical patients aged 70 years and over in Hong Kong.
Subjects were interviewed by a research nurse on discharge, and were followed up for six months.
Unplanned hospital readmissions were identified and classified as avoidable or unavoidable. The risk factors for early (within 28 days), recurrent (three or more) and avoidable readmissions were studied by multiple logistic regression.
Four hundred and fifty-five patients (37.7%) had at least one readmission in six months; 18%, 6.4%, and 2.9% of subjects had early, recurrent and avoidable readmissions respectively. Recent hospital stay predicted all types of readmissions. Early readmission was predicted by length of stay, Barthel index (assessment of physical and mental function) and unresolved medical problems. Recurrence readmission was predicted by poor family support, residence in a home for the elderly and unresolved medical problems.
Hospital readmission may be prevented by ensuring adequate length of stay, so that medical problems are resolved before discharge.</description><subject>20th century</subject><subject>Aged</subject><subject>Biology</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Health Services for the Aged - statistics & numerical data</subject><subject>Health Services for the Aged - utilization</subject><subject>History of science and technology</subject><subject>Hong Kong - epidemiology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hygiene; hospitals</subject><subject>Length of Stay - statistics & numerical data</subject><subject>Life sciences</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medicine; surgery; pharmacy</subject><subject>Original Papers</subject><subject>Patient Readmission - statistics & numerical data</subject><subject>Risk Factors</subject><subject>Time Factors</subject><issn>0035-8819</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNpVkEtPwzAQhHMA0VL4CygHxC2SH3EcXyqhCiiiEhc4WxtnXYwSO8QpEv8eo5bXZfcwn2Z25yibE8JFUddUzbLTGF8JYYQqeZLNKOElYVU5z5brEAc3QZePCG3vYnTB59AHv81D1-KY99g6k_QBJod-irnz-fpLfkjjLDu20EU8P-xF9nx787RaF5vHu_vV9aYYmKJTIWllZNNaU9a2VDXl0gIVjWwklCXWChrKBRIE0nJlwVjFeFsLxIZxi7zli2y59x12TTrIpENG6PQwuh7GDx3A6f-Kdy96G961qipR1SwZXB0MxvC2wzjp9KvBrgOPYRd1paQUjJQJvPib9BPxXVkCLg8AxNSLHcEbF385Iahggn8Cppd1bQ</recordid><startdate>19990301</startdate><enddate>19990301</enddate><creator>KWOK, T</creator><creator>LAU, E</creator><creator>WOO, J</creator><creator>LUK, K. H</creator><creator>WONG, E</creator><creator>SHAM, A</creator><creator>LEE, S. H</creator><general>Royal College of Physicians of London</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>19990301</creationdate><title>Hospital readmission among older medical patients in Hong Kong</title><author>KWOK, T ; LAU, E ; WOO, J ; LUK, K. H ; WONG, E ; SHAM, A ; LEE, S. H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p291t-716c7bdfc48f498137fa15b7b7a44e89ab135e0ea0d39facf923d85eeb23fe3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>20th century</topic><topic>Aged</topic><topic>Biology</topic><topic>Cohort Studies</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Health Services for the Aged - statistics & numerical data</topic><topic>Health Services for the Aged - utilization</topic><topic>History of science and technology</topic><topic>Hong Kong - epidemiology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hygiene; hospitals</topic><topic>Length of Stay - statistics & numerical data</topic><topic>Life sciences</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medicine; surgery; pharmacy</topic><topic>Original Papers</topic><topic>Patient Readmission - statistics & numerical data</topic><topic>Risk Factors</topic><topic>Time Factors</topic><toplevel>online_resources</toplevel><creatorcontrib>KWOK, T</creatorcontrib><creatorcontrib>LAU, E</creatorcontrib><creatorcontrib>WOO, J</creatorcontrib><creatorcontrib>LUK, K. H</creatorcontrib><creatorcontrib>WONG, E</creatorcontrib><creatorcontrib>SHAM, A</creatorcontrib><creatorcontrib>LEE, S. H</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the Royal College of Physicians of London</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KWOK, T</au><au>LAU, E</au><au>WOO, J</au><au>LUK, K. H</au><au>WONG, E</au><au>SHAM, A</au><au>LEE, S. H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hospital readmission among older medical patients in Hong Kong</atitle><jtitle>Journal of the Royal College of Physicians of London</jtitle><addtitle>J R Coll Physicians Lond</addtitle><date>1999-03-01</date><risdate>1999</risdate><volume>33</volume><issue>2</issue><spage>153</spage><epage>156</epage><pages>153-156</pages><issn>0035-8819</issn><abstract>To study the risk factors for hospital readmission among older medical patients in Hong Kong.
Cohort study.
1,204 consecutive hospital medical patients aged 70 years and over in Hong Kong.
Subjects were interviewed by a research nurse on discharge, and were followed up for six months.
Unplanned hospital readmissions were identified and classified as avoidable or unavoidable. The risk factors for early (within 28 days), recurrent (three or more) and avoidable readmissions were studied by multiple logistic regression.
Four hundred and fifty-five patients (37.7%) had at least one readmission in six months; 18%, 6.4%, and 2.9% of subjects had early, recurrent and avoidable readmissions respectively. Recent hospital stay predicted all types of readmissions. Early readmission was predicted by length of stay, Barthel index (assessment of physical and mental function) and unresolved medical problems. Recurrence readmission was predicted by poor family support, residence in a home for the elderly and unresolved medical problems.
Hospital readmission may be prevented by ensuring adequate length of stay, so that medical problems are resolved before discharge.</abstract><cop>London</cop><pub>Royal College of Physicians of London</pub><pmid>10340264</pmid><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 20th century Aged Biology Cohort Studies Female Follow-Up Studies Health Services for the Aged - statistics & numerical data Health Services for the Aged - utilization History of science and technology Hong Kong - epidemiology Hospitals Humans Hygiene hospitals Length of Stay - statistics & numerical data Life sciences Logistic Models Male Medicine surgery pharmacy Original Papers Patient Readmission - statistics & numerical data Risk Factors Time Factors |
title | Hospital readmission among older medical patients in Hong Kong |
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