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What aspects of primary care predict emergency admission rates? A cross sectional study

BACKGROUND: From 2004 to 2009 there was almost a 12% rise in emergency admissions in England. This can be explained partly by an aging population and other socio-demographic characteristics, but much cannot be explained by these factors. We explored aspects of care, in addition to known demographic...

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Autores principales: Gunther, Stephen, Taub, Nick, Rogers, Stephen, Baker, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547739/
https://www.ncbi.nlm.nih.gov/pubmed/23294563
http://dx.doi.org/10.1186/1472-6963-13-11
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author Gunther, Stephen
Taub, Nick
Rogers, Stephen
Baker, Richard
author_facet Gunther, Stephen
Taub, Nick
Rogers, Stephen
Baker, Richard
author_sort Gunther, Stephen
collection PubMed
description BACKGROUND: From 2004 to 2009 there was almost a 12% rise in emergency admissions in England. This can be explained partly by an aging population and other socio-demographic characteristics, but much cannot be explained by these factors. We explored aspects of care, in addition to known demographic characteristics in general practice, that are associated with emergency admissions. METHODS: A cross-sectional design employing hospital admission data from 76 general practices in Northamptonshire, England for 2006–08, including demographic data, quality and outcomes framework points and GP patient survey outcomes. RESULTS: There were statistically significant associations between emergency admissions and age, gender, distance from hospital and proportion classified as white. There was also a statistically significant relationship between emergency admissions and being able to book an appointment with a preferred doctor; this relationship was stronger in less deprived communities. CONCLUSIONS: Enabling patients to book with a preferred doctor, particularly those in less deprived communities could have an impact on reducing emergency admissions. It is possible that being able to consult a preferred GP gives patient’s confidence to avoid an emergency admission or it facilitates consistent clinical management that helps prevent the need for admission. However the findings only explained some of the variation.
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spelling pubmed-35477392013-01-23 What aspects of primary care predict emergency admission rates? A cross sectional study Gunther, Stephen Taub, Nick Rogers, Stephen Baker, Richard BMC Health Serv Res Research Article BACKGROUND: From 2004 to 2009 there was almost a 12% rise in emergency admissions in England. This can be explained partly by an aging population and other socio-demographic characteristics, but much cannot be explained by these factors. We explored aspects of care, in addition to known demographic characteristics in general practice, that are associated with emergency admissions. METHODS: A cross-sectional design employing hospital admission data from 76 general practices in Northamptonshire, England for 2006–08, including demographic data, quality and outcomes framework points and GP patient survey outcomes. RESULTS: There were statistically significant associations between emergency admissions and age, gender, distance from hospital and proportion classified as white. There was also a statistically significant relationship between emergency admissions and being able to book an appointment with a preferred doctor; this relationship was stronger in less deprived communities. CONCLUSIONS: Enabling patients to book with a preferred doctor, particularly those in less deprived communities could have an impact on reducing emergency admissions. It is possible that being able to consult a preferred GP gives patient’s confidence to avoid an emergency admission or it facilitates consistent clinical management that helps prevent the need for admission. However the findings only explained some of the variation. BioMed Central 2013-01-07 /pmc/articles/PMC3547739/ /pubmed/23294563 http://dx.doi.org/10.1186/1472-6963-13-11 Text en Copyright ©2013 Gunther et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gunther, Stephen
Taub, Nick
Rogers, Stephen
Baker, Richard
What aspects of primary care predict emergency admission rates? A cross sectional study
title What aspects of primary care predict emergency admission rates? A cross sectional study
title_full What aspects of primary care predict emergency admission rates? A cross sectional study
title_fullStr What aspects of primary care predict emergency admission rates? A cross sectional study
title_full_unstemmed What aspects of primary care predict emergency admission rates? A cross sectional study
title_short What aspects of primary care predict emergency admission rates? A cross sectional study
title_sort what aspects of primary care predict emergency admission rates? a cross sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547739/
https://www.ncbi.nlm.nih.gov/pubmed/23294563
http://dx.doi.org/10.1186/1472-6963-13-11
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