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Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis
OBJECTIVE: To chart emergency department (ED) attendance and acute admission following a devastating earthquake in 2011 which lead to Canterbury's rapidly accelerated integrated health system transformations. DESIGN: Interrupted time series analysis, modelling using Bayesian change-point method...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874100/ https://www.ncbi.nlm.nih.gov/pubmed/27169741 http://dx.doi.org/10.1136/bmjopen-2015-010709 |
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author | Schluter, Philip J Hamilton, Greg J Deely, Joanne M Ardagh, Michael W |
author_facet | Schluter, Philip J Hamilton, Greg J Deely, Joanne M Ardagh, Michael W |
author_sort | Schluter, Philip J |
collection | PubMed |
description | OBJECTIVE: To chart emergency department (ED) attendance and acute admission following a devastating earthquake in 2011 which lead to Canterbury's rapidly accelerated integrated health system transformations. DESIGN: Interrupted time series analysis, modelling using Bayesian change-point methods, of ED attendance and acute admission rates over the 2008–2014 period. SETTING: ED department within the Canterbury District Health Board; with comparison to two other district health boards unaffected by the earthquake within New Zealand. PARTICIPANTS: Canterbury's health system services ∼500 000 people, with around 85 000 ED attendances and 37 000 acute admissions per annum. MAIN OUTCOME MEASURES: De-seasoned standardised population ED attendance and acute admission rates overall, and stratified by age and sex, compared before and after the earthquake. RESULTS: Analyses revealed five global patterns: (1) postearthquake, there was a sudden and persisting decrease in the proportion of the population attending the ED; (2) the growth rate of ED attendances per head of population did not change between the pre-earthquake and postearthquake periods; (3) postearthquake, there was a sudden and persisting decrease in the proportion of the population admitted to hospital; (4) the growth rate of hospital admissions per head of the population declined between pre-earthquake and postearthquake periods and (5) the most dramatic reduction in hospital admissions growth after the earthquake occurred among those aged 65+ years. Extrapolating from the projected and fitted deseasoned rates for December 2014, ∼676 (16.8%) of 4035 projected hospital admissions were avoided. CONCLUSIONS: While both necessarily and opportunistically accelerated, Canterbury's integrated health systems transformations have resulted in a dramatic and sustained reduction in ED attendances and acute hospital admissions. This natural intervention experiment, triggered by an earthquake, demonstrated that integrated health systems with high quality out-of-hospital care models are likely to successfully curb growth in acute hospital demand, nationally and internationally. |
format | Online Article Text |
id | pubmed-4874100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48741002016-05-27 Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis Schluter, Philip J Hamilton, Greg J Deely, Joanne M Ardagh, Michael W BMJ Open Health Services Research OBJECTIVE: To chart emergency department (ED) attendance and acute admission following a devastating earthquake in 2011 which lead to Canterbury's rapidly accelerated integrated health system transformations. DESIGN: Interrupted time series analysis, modelling using Bayesian change-point methods, of ED attendance and acute admission rates over the 2008–2014 period. SETTING: ED department within the Canterbury District Health Board; with comparison to two other district health boards unaffected by the earthquake within New Zealand. PARTICIPANTS: Canterbury's health system services ∼500 000 people, with around 85 000 ED attendances and 37 000 acute admissions per annum. MAIN OUTCOME MEASURES: De-seasoned standardised population ED attendance and acute admission rates overall, and stratified by age and sex, compared before and after the earthquake. RESULTS: Analyses revealed five global patterns: (1) postearthquake, there was a sudden and persisting decrease in the proportion of the population attending the ED; (2) the growth rate of ED attendances per head of population did not change between the pre-earthquake and postearthquake periods; (3) postearthquake, there was a sudden and persisting decrease in the proportion of the population admitted to hospital; (4) the growth rate of hospital admissions per head of the population declined between pre-earthquake and postearthquake periods and (5) the most dramatic reduction in hospital admissions growth after the earthquake occurred among those aged 65+ years. Extrapolating from the projected and fitted deseasoned rates for December 2014, ∼676 (16.8%) of 4035 projected hospital admissions were avoided. CONCLUSIONS: While both necessarily and opportunistically accelerated, Canterbury's integrated health systems transformations have resulted in a dramatic and sustained reduction in ED attendances and acute hospital admissions. This natural intervention experiment, triggered by an earthquake, demonstrated that integrated health systems with high quality out-of-hospital care models are likely to successfully curb growth in acute hospital demand, nationally and internationally. BMJ Publishing Group 2016-05-11 /pmc/articles/PMC4874100/ /pubmed/27169741 http://dx.doi.org/10.1136/bmjopen-2015-010709 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Services Research Schluter, Philip J Hamilton, Greg J Deely, Joanne M Ardagh, Michael W Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis |
title | Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis |
title_full | Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis |
title_fullStr | Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis |
title_full_unstemmed | Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis |
title_short | Impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a Bayesian change-point analysis |
title_sort | impact of integrated health system changes, accelerated due to an earthquake, on emergency department attendances and acute admissions: a bayesian change-point analysis |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874100/ https://www.ncbi.nlm.nih.gov/pubmed/27169741 http://dx.doi.org/10.1136/bmjopen-2015-010709 |
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