Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals

Rationale, Aims and Objectives Emergency hospital readmissions within 30 days of discharge from hospital are considered a marker for the quality of hospital care, patient experience, the discharge process and integration with community services. This paper describes the frequency and variations in c...

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Veröffentlicht in:Journal of evaluation in clinical practice 2023-02, Vol.29 (1), p.158-165
Hauptverfasser: Gordon, Clare, Davidson, Hannah, Dharmasiri, Michelle, Davies, Tanya
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Davidson, Hannah
Dharmasiri, Michelle
Davies, Tanya
description Rationale, Aims and Objectives Emergency hospital readmissions within 30 days of discharge from hospital are considered a marker for the quality of hospital care, patient experience, the discharge process and integration with community services. This paper describes the frequency and variations in cause of emergency readmissions at 30 and 90 days following discharge after acute stroke from two stroke units. Methods Retrospective data collection of Hospital Episodes Statistics (HES) and Sentinel Stroke National Audit Programme (SSNAP) of consecutive acute stroke hospital discharges over 24 months from 2017 to 2019 from two specialist stroke units in England. HES data were used to calculate the Charlson comorbidity index (CCI). Covariates were analysed for their association with readmission rate, including: age; gender; CCI; length of stay for first stroke admission; living alone; discharge to a care home; discharge receiving stroke specialist early supported discharge (ESD) rehabilitation and stroke severity as determined by National Institute for Health Stroke Scale on stroke admission. Results From 2017 to 2019 there were 1999 live discharges with a primary diagnosis of stroke. Both hospitals had a trend of increasing readmission rates with increasing stroke severity and comorbidity. Longer length of stroke admission, especially for patients with increasing stroke severity, and patients receiving ESD rehabilitation after discharge reduced 90‐day readmissions. This association was stronger at 90 days than at 30 days. Different readmission event rates were found at 30 and 90 days and when events were compared between the two hospitals. Conclusion Understanding differences in readmission event rates between hospitals at 30 and 90 days can support local planning of patient needs in the first weeks after stroke discharge and to investigate ways for hospital to reduce the impact of readmission. It is recommended that stroke services use both 30 and 90‐day readmissions to inform service evaluation and improvement.
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This paper describes the frequency and variations in cause of emergency readmissions at 30 and 90 days following discharge after acute stroke from two stroke units. Methods Retrospective data collection of Hospital Episodes Statistics (HES) and Sentinel Stroke National Audit Programme (SSNAP) of consecutive acute stroke hospital discharges over 24 months from 2017 to 2019 from two specialist stroke units in England. HES data were used to calculate the Charlson comorbidity index (CCI). Covariates were analysed for their association with readmission rate, including: age; gender; CCI; length of stay for first stroke admission; living alone; discharge to a care home; discharge receiving stroke specialist early supported discharge (ESD) rehabilitation and stroke severity as determined by National Institute for Health Stroke Scale on stroke admission. Results From 2017 to 2019 there were 1999 live discharges with a primary diagnosis of stroke. Both hospitals had a trend of increasing readmission rates with increasing stroke severity and comorbidity. Longer length of stroke admission, especially for patients with increasing stroke severity, and patients receiving ESD rehabilitation after discharge reduced 90‐day readmissions. This association was stronger at 90 days than at 30 days. Different readmission event rates were found at 30 and 90 days and when events were compared between the two hospitals. Conclusion Understanding differences in readmission event rates between hospitals at 30 and 90 days can support local planning of patient needs in the first weeks after stroke discharge and to investigate ways for hospital to reduce the impact of readmission. It is recommended that stroke services use both 30 and 90‐day readmissions to inform service evaluation and improvement.</description><identifier>ISSN: 1356-1294</identifier><identifier>EISSN: 1365-2753</identifier><identifier>DOI: 10.1111/jep.13753</identifier><identifier>PMID: 35993593</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Comorbidity ; early supported discharge ; Emergency medical care ; Health risks ; HES data ; hospital admission ; Hospitalization ; Hospitals ; Humans ; Length of Stay ; Patient Discharge ; Patient Readmission ; Retrospective Studies ; Stroke ; Stroke - therapy ; stroke unit</subject><ispartof>Journal of evaluation in clinical practice, 2023-02, Vol.29 (1), p.158-165</ispartof><rights>2022 John Wiley &amp; Sons Ltd.</rights><rights>2023 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2433-4b93060a9583881012b6389a9e9ef26a3fc27284611423a8dfa42261ef6d0ed33</cites><orcidid>0000-0002-7181-1244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjep.13753$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjep.13753$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35993593$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gordon, Clare</creatorcontrib><creatorcontrib>Davidson, Hannah</creatorcontrib><creatorcontrib>Dharmasiri, Michelle</creatorcontrib><creatorcontrib>Davies, Tanya</creatorcontrib><title>Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals</title><title>Journal of evaluation in clinical practice</title><addtitle>J Eval Clin Pract</addtitle><description>Rationale, Aims and Objectives Emergency hospital readmissions within 30 days of discharge from hospital are considered a marker for the quality of hospital care, patient experience, the discharge process and integration with community services. This paper describes the frequency and variations in cause of emergency readmissions at 30 and 90 days following discharge after acute stroke from two stroke units. Methods Retrospective data collection of Hospital Episodes Statistics (HES) and Sentinel Stroke National Audit Programme (SSNAP) of consecutive acute stroke hospital discharges over 24 months from 2017 to 2019 from two specialist stroke units in England. HES data were used to calculate the Charlson comorbidity index (CCI). Covariates were analysed for their association with readmission rate, including: age; gender; CCI; length of stay for first stroke admission; living alone; discharge to a care home; discharge receiving stroke specialist early supported discharge (ESD) rehabilitation and stroke severity as determined by National Institute for Health Stroke Scale on stroke admission. Results From 2017 to 2019 there were 1999 live discharges with a primary diagnosis of stroke. Both hospitals had a trend of increasing readmission rates with increasing stroke severity and comorbidity. Longer length of stroke admission, especially for patients with increasing stroke severity, and patients receiving ESD rehabilitation after discharge reduced 90‐day readmissions. This association was stronger at 90 days than at 30 days. Different readmission event rates were found at 30 and 90 days and when events were compared between the two hospitals. Conclusion Understanding differences in readmission event rates between hospitals at 30 and 90 days can support local planning of patient needs in the first weeks after stroke discharge and to investigate ways for hospital to reduce the impact of readmission. It is recommended that stroke services use both 30 and 90‐day readmissions to inform service evaluation and improvement.</description><subject>Comorbidity</subject><subject>early supported discharge</subject><subject>Emergency medical care</subject><subject>Health risks</subject><subject>HES data</subject><subject>hospital admission</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Length of Stay</subject><subject>Patient Discharge</subject><subject>Patient Readmission</subject><subject>Retrospective Studies</subject><subject>Stroke</subject><subject>Stroke - therapy</subject><subject>stroke unit</subject><issn>1356-1294</issn><issn>1365-2753</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1LAzEQhoMotn4c_AMS8KKHrfnYzW68iVg_KOhBz0uanbWpbVOTrKX_3tGqB8GBYV6Gh5eZl5AjzgYc63wKywGXZSG3SJ9LVWQC9fanLlTGhc57ZC_GKWNcsqLcJT1ZaI0t-8QNjU0-RGpi9NaZBA1duTShMIfwAgu7pgFMM3cxOr9ArE0QqLFdAhpT8K9wQS8RQRmXYJN7B2q6xiXqW5pWnk5w75KZxQOy0-KAw--5T56H109Xt9no4ebu6nKUWZFLmeVjLZliRheVrCrOuBgrWWmjQUMrlJGtFaWocsV5LqSpmtbkQigOrWoYNFLuk9ON7zL4tw5iqvF4C7OZWYDvYi1KVkhd5VWJ6MkfdOq7sMDrkFKFwFICqbMNZfHHGKCtl8HNTVjXnNWf-deYf_2VP7LH347deA7NL_kTOALnG2DlZrD-36m-v37cWH4AwJaO1g</recordid><startdate>202302</startdate><enddate>202302</enddate><creator>Gordon, Clare</creator><creator>Davidson, Hannah</creator><creator>Dharmasiri, Michelle</creator><creator>Davies, Tanya</creator><general>Wiley Subscription Services, Inc</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>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7181-1244</orcidid></search><sort><creationdate>202302</creationdate><title>Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals</title><author>Gordon, Clare ; Davidson, Hannah ; Dharmasiri, Michelle ; Davies, Tanya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2433-4b93060a9583881012b6389a9e9ef26a3fc27284611423a8dfa42261ef6d0ed33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Comorbidity</topic><topic>early supported discharge</topic><topic>Emergency medical care</topic><topic>Health risks</topic><topic>HES data</topic><topic>hospital admission</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Length of Stay</topic><topic>Patient Discharge</topic><topic>Patient Readmission</topic><topic>Retrospective Studies</topic><topic>Stroke</topic><topic>Stroke - therapy</topic><topic>stroke unit</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gordon, Clare</creatorcontrib><creatorcontrib>Davidson, Hannah</creatorcontrib><creatorcontrib>Dharmasiri, Michelle</creatorcontrib><creatorcontrib>Davies, Tanya</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of evaluation in clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gordon, Clare</au><au>Davidson, Hannah</au><au>Dharmasiri, Michelle</au><au>Davies, Tanya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals</atitle><jtitle>Journal of evaluation in clinical practice</jtitle><addtitle>J Eval Clin Pract</addtitle><date>2023-02</date><risdate>2023</risdate><volume>29</volume><issue>1</issue><spage>158</spage><epage>165</epage><pages>158-165</pages><issn>1356-1294</issn><eissn>1365-2753</eissn><abstract>Rationale, Aims and Objectives Emergency hospital readmissions within 30 days of discharge from hospital are considered a marker for the quality of hospital care, patient experience, the discharge process and integration with community services. This paper describes the frequency and variations in cause of emergency readmissions at 30 and 90 days following discharge after acute stroke from two stroke units. Methods Retrospective data collection of Hospital Episodes Statistics (HES) and Sentinel Stroke National Audit Programme (SSNAP) of consecutive acute stroke hospital discharges over 24 months from 2017 to 2019 from two specialist stroke units in England. HES data were used to calculate the Charlson comorbidity index (CCI). Covariates were analysed for their association with readmission rate, including: age; gender; CCI; length of stay for first stroke admission; living alone; discharge to a care home; discharge receiving stroke specialist early supported discharge (ESD) rehabilitation and stroke severity as determined by National Institute for Health Stroke Scale on stroke admission. Results From 2017 to 2019 there were 1999 live discharges with a primary diagnosis of stroke. Both hospitals had a trend of increasing readmission rates with increasing stroke severity and comorbidity. Longer length of stroke admission, especially for patients with increasing stroke severity, and patients receiving ESD rehabilitation after discharge reduced 90‐day readmissions. This association was stronger at 90 days than at 30 days. Different readmission event rates were found at 30 and 90 days and when events were compared between the two hospitals. Conclusion Understanding differences in readmission event rates between hospitals at 30 and 90 days can support local planning of patient needs in the first weeks after stroke discharge and to investigate ways for hospital to reduce the impact of readmission. It is recommended that stroke services use both 30 and 90‐day readmissions to inform service evaluation and improvement.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>35993593</pmid><doi>10.1111/jep.13753</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7181-1244</orcidid></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Comorbidity
early supported discharge
Emergency medical care
Health risks
HES data
hospital admission
Hospitalization
Hospitals
Humans
Length of Stay
Patient Discharge
Patient Readmission
Retrospective Studies
Stroke
Stroke - therapy
stroke unit
title Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals
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