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Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study
OBJECTIVES: To measure the impact of the improvement in hospital survival rates on patients’ subsequent utilization of unplanned (emergency) admissions. DATA SOURCES/STUDY SETTING: Unplanned admissions occurring in all acute hospitals of the National Health Service in England between 2000 and 2009,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051967/ https://www.ncbi.nlm.nih.gov/pubmed/28905378 http://dx.doi.org/10.1111/1475-6773.12755 |
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author | Laudicella, Mauro Martin, Stephen Li Donni, Paolo Smith, Peter C. |
author_facet | Laudicella, Mauro Martin, Stephen Li Donni, Paolo Smith, Peter C. |
author_sort | Laudicella, Mauro |
collection | PubMed |
description | OBJECTIVES: To measure the impact of the improvement in hospital survival rates on patients’ subsequent utilization of unplanned (emergency) admissions. DATA SOURCES/STUDY SETTING: Unplanned admissions occurring in all acute hospitals of the National Health Service in England between 2000 and 2009, including 286,027 hip fractures, 375,880 AMI, 387,761 strokes, and 9,966,246 any cause admissions. STUDY DESIGN: Population‐based retrospective cohort study. Unplanned admissions experienced by patients within 28 days, 1 year, and 2 years of discharge from the index admission are modeled as a function of hospital risk‐adjusted survival rates using patient‐level probit and negative binomial models. Identification is also supported by an instrumental variable approach and placebo test. PRINCIPAL FINDINGS: The improvement in hospital survival rates that occurred between 2000 and 2009 explains 37.3 percent of the total increment in unplanned admissions observed over the same period. One extra patient surviving increases the expected number of subsequent admissions occurring within 1 year from discharge by 1.9 admissions for every 100 index admissions (0.019 per admission, 95% CI, 0.016–0.022). Similar results in hip fracture (0.006[0.004–0.007]), AMI (0.006[0.04–0.007]), and stroke (0.004(0.003–0.005)). CONCLUSIONS: The success of hospitals in improving survival from unplanned admissions can be an important contributory factor to the increase in subsequent admissions. |
format | Online Article Text |
id | pubmed-6051967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60519672019-08-01 Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study Laudicella, Mauro Martin, Stephen Li Donni, Paolo Smith, Peter C. Health Serv Res Resource Use OBJECTIVES: To measure the impact of the improvement in hospital survival rates on patients’ subsequent utilization of unplanned (emergency) admissions. DATA SOURCES/STUDY SETTING: Unplanned admissions occurring in all acute hospitals of the National Health Service in England between 2000 and 2009, including 286,027 hip fractures, 375,880 AMI, 387,761 strokes, and 9,966,246 any cause admissions. STUDY DESIGN: Population‐based retrospective cohort study. Unplanned admissions experienced by patients within 28 days, 1 year, and 2 years of discharge from the index admission are modeled as a function of hospital risk‐adjusted survival rates using patient‐level probit and negative binomial models. Identification is also supported by an instrumental variable approach and placebo test. PRINCIPAL FINDINGS: The improvement in hospital survival rates that occurred between 2000 and 2009 explains 37.3 percent of the total increment in unplanned admissions observed over the same period. One extra patient surviving increases the expected number of subsequent admissions occurring within 1 year from discharge by 1.9 admissions for every 100 index admissions (0.019 per admission, 95% CI, 0.016–0.022). Similar results in hip fracture (0.006[0.004–0.007]), AMI (0.006[0.04–0.007]), and stroke (0.004(0.003–0.005)). CONCLUSIONS: The success of hospitals in improving survival from unplanned admissions can be an important contributory factor to the increase in subsequent admissions. John Wiley and Sons Inc. 2017-09-14 2018-08 /pmc/articles/PMC6051967/ /pubmed/28905378 http://dx.doi.org/10.1111/1475-6773.12755 Text en © 2017 The Authors. Health Services Research published by Wiley Periodicals, Inc. on behalf of Health Research and Educational Trust This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Resource Use Laudicella, Mauro Martin, Stephen Li Donni, Paolo Smith, Peter C. Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study |
title | Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study |
title_full | Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study |
title_fullStr | Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study |
title_full_unstemmed | Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study |
title_short | Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care? A Population‐Based Cohort Study |
title_sort | do reduced hospital mortality rates lead to increased utilization of inpatient emergency care? a population‐based cohort study |
topic | Resource Use |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051967/ https://www.ncbi.nlm.nih.gov/pubmed/28905378 http://dx.doi.org/10.1111/1475-6773.12755 |
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