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The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?

AIM OF THE STUDY: To use the hospital standardised mortality ratio (HSMR), as a tool for Dutch hospitals to analyse their death rates by comparing their risk-adjusted mortality with the national average. METHOD: The method uses routine administrative databases that are available nationally in The Ne...

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Autores principales: Jarman, B, Pieter, D, van der Veen, A A, Kool, R B, Aylin, P, Bottle, A, Westert, G P, Jones, S
Formato: Texto
Lenguaje:English
Publicado: BMJ Group 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2921266/
https://www.ncbi.nlm.nih.gov/pubmed/20172876
http://dx.doi.org/10.1136/qshc.2009.032953
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author Jarman, B
Pieter, D
van der Veen, A A
Kool, R B
Aylin, P
Bottle, A
Westert, G P
Jones, S
author_facet Jarman, B
Pieter, D
van der Veen, A A
Kool, R B
Aylin, P
Bottle, A
Westert, G P
Jones, S
author_sort Jarman, B
collection PubMed
description AIM OF THE STUDY: To use the hospital standardised mortality ratio (HSMR), as a tool for Dutch hospitals to analyse their death rates by comparing their risk-adjusted mortality with the national average. METHOD: The method uses routine administrative databases that are available nationally in The Netherlands—the National Medical Registration dataset for the years 2005–2007. Diagnostic groups that led to 80% of hospital deaths were included in the analysis. The method adjusts for a number of case-mix factors per diagnostic group determined through a logistic regression modelling process. RESULTS: In The Netherlands, the case-mix factors are primary diagnosis, age, sex, urgency of admission, length of stay, comorbidity (Charlson Index), social deprivation, source of referral and month of admission. The Dutch HSMR model performs well at predicting a patient's risk of death as measured by a c statistic of the receiver operating characteristic curve of 0.91. The ratio of the HSMR of the Dutch hospital with the highest value in 2005–2007 is 2.3 times the HSMR of the hospital with the lowest value. DISCUSSION: Overall hospital HSMRs and mortality at individual diagnostic group level can be monitored using statistical process control charts to give an early warning of possible problems with quality of care. The use of routine data in a standardised and robust model can be of value as a starting point for improvement of Dutch hospital outcomes. HSMRs have been calculated for several other countries.
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spelling pubmed-29212662010-08-17 The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care? Jarman, B Pieter, D van der Veen, A A Kool, R B Aylin, P Bottle, A Westert, G P Jones, S Qual Saf Health Care Original Research AIM OF THE STUDY: To use the hospital standardised mortality ratio (HSMR), as a tool for Dutch hospitals to analyse their death rates by comparing their risk-adjusted mortality with the national average. METHOD: The method uses routine administrative databases that are available nationally in The Netherlands—the National Medical Registration dataset for the years 2005–2007. Diagnostic groups that led to 80% of hospital deaths were included in the analysis. The method adjusts for a number of case-mix factors per diagnostic group determined through a logistic regression modelling process. RESULTS: In The Netherlands, the case-mix factors are primary diagnosis, age, sex, urgency of admission, length of stay, comorbidity (Charlson Index), social deprivation, source of referral and month of admission. The Dutch HSMR model performs well at predicting a patient's risk of death as measured by a c statistic of the receiver operating characteristic curve of 0.91. The ratio of the HSMR of the Dutch hospital with the highest value in 2005–2007 is 2.3 times the HSMR of the hospital with the lowest value. DISCUSSION: Overall hospital HSMRs and mortality at individual diagnostic group level can be monitored using statistical process control charts to give an early warning of possible problems with quality of care. The use of routine data in a standardised and robust model can be of value as a starting point for improvement of Dutch hospital outcomes. HSMRs have been calculated for several other countries. BMJ Group 2010-02-12 2010-02 /pmc/articles/PMC2921266/ /pubmed/20172876 http://dx.doi.org/10.1136/qshc.2009.032953 Text en © 2010, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Original Research
Jarman, B
Pieter, D
van der Veen, A A
Kool, R B
Aylin, P
Bottle, A
Westert, G P
Jones, S
The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?
title The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?
title_full The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?
title_fullStr The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?
title_full_unstemmed The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?
title_short The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care?
title_sort hospital standardised mortality ratio: a powerful tool for dutch hospitals to assess their quality of care?
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2921266/
https://www.ncbi.nlm.nih.gov/pubmed/20172876
http://dx.doi.org/10.1136/qshc.2009.032953
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