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How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method
OBJECTIVES: Patients should be discharged from hospital when they are medically fit. However, discharges are often delayed for non-medical reasons including access to social care. One aim of local health and social care partnerships to improve urgent and emergency care in England (known as urgent an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823209/ https://www.ncbi.nlm.nih.gov/pubmed/35131830 http://dx.doi.org/10.1136/bmjopen-2021-054568 |
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author | Malisauskaite, Gintare Jones, Karen Allan, Stephen Roland, Daniel Birks, Yvonne Baxter, Kate Gridley, Kate |
author_facet | Malisauskaite, Gintare Jones, Karen Allan, Stephen Roland, Daniel Birks, Yvonne Baxter, Kate Gridley, Kate |
author_sort | Malisauskaite, Gintare |
collection | PubMed |
description | OBJECTIVES: Patients should be discharged from hospital when they are medically fit. However, discharges are often delayed for non-medical reasons including access to social care. One aim of local health and social care partnerships to improve urgent and emergency care in England (known as urgent and emergency care (UEC) vanguards) was to improve integration of health and social care, which could lead to fewer delays. Consequently, we aimed to assess the impact of UEC vanguards on delayed discharges from hospital (delayed transfers of care (DTOC)) in England. DESIGN: Using a synthetic control estimation method 29 local authorities (LAs) that were UEC vanguards partners were averaged into a single ‘treated’ unit and compared with a unit created using data from LAs that were not UEC vanguards partners to estimate the impact of UEC vanguards on DTOC. Sensitivity analysis included fixed effects panel regressions and various placebo tests. SETTING: 150 LAs in England (excluding city of London and Isles of Scilly); 29 LAs were partners in UEC vanguards between August 2015 and March 2018. PRIMARY OUTCOME MEASURE: Quarterly data on days of DTOC at LA level for the period 2010–2017. RESULTS: Synthetic control estimation showed a large difference in DTOC days between UEC vanguards partner LAs compared with those that were not, with on average 23.7% lower DTOC per quarter (491 DTOC days per quarter). Fixed effect panel regressions found DTOC rates lower by 43.1% (99% CI 13.8% to 72.4%) in UEC partner LAs after the start of the vanguards programme. We found no indication of UEC partner LAs having lower DTOC rates prior to initiation of vanguards. CONCLUSIONS: The evidence indicates a sizeable statistically significant impact of UEC vanguards on DTOC; however, more research is required to explain the underlying reasons for this relationship. |
format | Online Article Text |
id | pubmed-8823209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-88232092022-02-17 How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method Malisauskaite, Gintare Jones, Karen Allan, Stephen Roland, Daniel Birks, Yvonne Baxter, Kate Gridley, Kate BMJ Open Health Policy OBJECTIVES: Patients should be discharged from hospital when they are medically fit. However, discharges are often delayed for non-medical reasons including access to social care. One aim of local health and social care partnerships to improve urgent and emergency care in England (known as urgent and emergency care (UEC) vanguards) was to improve integration of health and social care, which could lead to fewer delays. Consequently, we aimed to assess the impact of UEC vanguards on delayed discharges from hospital (delayed transfers of care (DTOC)) in England. DESIGN: Using a synthetic control estimation method 29 local authorities (LAs) that were UEC vanguards partners were averaged into a single ‘treated’ unit and compared with a unit created using data from LAs that were not UEC vanguards partners to estimate the impact of UEC vanguards on DTOC. Sensitivity analysis included fixed effects panel regressions and various placebo tests. SETTING: 150 LAs in England (excluding city of London and Isles of Scilly); 29 LAs were partners in UEC vanguards between August 2015 and March 2018. PRIMARY OUTCOME MEASURE: Quarterly data on days of DTOC at LA level for the period 2010–2017. RESULTS: Synthetic control estimation showed a large difference in DTOC days between UEC vanguards partner LAs compared with those that were not, with on average 23.7% lower DTOC per quarter (491 DTOC days per quarter). Fixed effect panel regressions found DTOC rates lower by 43.1% (99% CI 13.8% to 72.4%) in UEC partner LAs after the start of the vanguards programme. We found no indication of UEC partner LAs having lower DTOC rates prior to initiation of vanguards. CONCLUSIONS: The evidence indicates a sizeable statistically significant impact of UEC vanguards on DTOC; however, more research is required to explain the underlying reasons for this relationship. BMJ Publishing Group 2022-02-07 /pmc/articles/PMC8823209/ /pubmed/35131830 http://dx.doi.org/10.1136/bmjopen-2021-054568 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Policy Malisauskaite, Gintare Jones, Karen Allan, Stephen Roland, Daniel Birks, Yvonne Baxter, Kate Gridley, Kate How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method |
title | How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method |
title_full | How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method |
title_fullStr | How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method |
title_full_unstemmed | How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method |
title_short | How local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in England: an analysis based on a synthetic control estimation method |
title_sort | how local partnerships to improve urgent and emergency care have impacted delayed transfers of care from hospitals in england: an analysis based on a synthetic control estimation method |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823209/ https://www.ncbi.nlm.nih.gov/pubmed/35131830 http://dx.doi.org/10.1136/bmjopen-2021-054568 |
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