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Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study

OBJECTIVES: The indicator unexpectedly long length of stay (UL-LOS) is used to gain insight into quality and safety of care in hospitals. The calculation of UL-LOS takes patients’ age, main diagnosis and main procedure into account. University hospitals have relatively more patients with a UL-LOS th...

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Autores principales: Ghielen, Janine, Cihangir, Sezgin, Hekkert, Karin, Borghans, Ine, Kool, Rudolf Bertijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398690/
https://www.ncbi.nlm.nih.gov/pubmed/30772843
http://dx.doi.org/10.1136/bmjopen-2018-021851
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author Ghielen, Janine
Cihangir, Sezgin
Hekkert, Karin
Borghans, Ine
Kool, Rudolf Bertijn
author_facet Ghielen, Janine
Cihangir, Sezgin
Hekkert, Karin
Borghans, Ine
Kool, Rudolf Bertijn
author_sort Ghielen, Janine
collection PubMed
description OBJECTIVES: The indicator unexpectedly long length of stay (UL-LOS) is used to gain insight into quality and safety of care in hospitals. The calculation of UL-LOS takes patients’ age, main diagnosis and main procedure into account. University hospitals have relatively more patients with a UL-LOS than other hospitals. Our main research question is whether the high number of patients with a UL-LOS in university hospitals is caused by differences in additional patient characteristics between university hospitals and other hospitals. DESIGN: We performed a cross-sectional study and used administrative data from 1 510 627 clinical admissions in 87 Dutch hospitals. Patients who died in hospital, stayed in hospital for 100 days or longer or whose country of residence was not the Netherlands were excluded from the UL-LOS indicator. We identified which patient groups were treated only in university hospitals or only in other hospitals and which were treated in both hospital types. For these last patient groups, we added supplementary patient characteristics to the current model to determine the effect on the UL-LOS model. RESULTS: Patient groups treated in both hospital types differed in terms of detailed primary diagnosis, socioeconomic status, source of admission, type of admission and amount of Charlson comorbidities. Nevertheless, when adding these characteristics to the current model, university hospitals still have a significantly higher mean UL-LOS score compared with other hospitals (p<0.001). CONCLUSIONS: The difference in UL-LOS scores between both hospital types remains after adding patient characteristics in which both hospital types differ. We conclude that the high UL-LOS scores in university hospitals are not caused by the investigated additional patient characteristics that differ between university and other hospitals. Patients might stay relatively longer in university hospitals due to differences in work processes because of their education and research tasks or financing differences of both hospital types.
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spelling pubmed-63986902019-03-20 Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study Ghielen, Janine Cihangir, Sezgin Hekkert, Karin Borghans, Ine Kool, Rudolf Bertijn BMJ Open Health Policy OBJECTIVES: The indicator unexpectedly long length of stay (UL-LOS) is used to gain insight into quality and safety of care in hospitals. The calculation of UL-LOS takes patients’ age, main diagnosis and main procedure into account. University hospitals have relatively more patients with a UL-LOS than other hospitals. Our main research question is whether the high number of patients with a UL-LOS in university hospitals is caused by differences in additional patient characteristics between university hospitals and other hospitals. DESIGN: We performed a cross-sectional study and used administrative data from 1 510 627 clinical admissions in 87 Dutch hospitals. Patients who died in hospital, stayed in hospital for 100 days or longer or whose country of residence was not the Netherlands were excluded from the UL-LOS indicator. We identified which patient groups were treated only in university hospitals or only in other hospitals and which were treated in both hospital types. For these last patient groups, we added supplementary patient characteristics to the current model to determine the effect on the UL-LOS model. RESULTS: Patient groups treated in both hospital types differed in terms of detailed primary diagnosis, socioeconomic status, source of admission, type of admission and amount of Charlson comorbidities. Nevertheless, when adding these characteristics to the current model, university hospitals still have a significantly higher mean UL-LOS score compared with other hospitals (p<0.001). CONCLUSIONS: The difference in UL-LOS scores between both hospital types remains after adding patient characteristics in which both hospital types differ. We conclude that the high UL-LOS scores in university hospitals are not caused by the investigated additional patient characteristics that differ between university and other hospitals. Patients might stay relatively longer in university hospitals due to differences in work processes because of their education and research tasks or financing differences of both hospital types. BMJ Publishing Group 2019-02-15 /pmc/articles/PMC6398690/ /pubmed/30772843 http://dx.doi.org/10.1136/bmjopen-2018-021851 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Policy
Ghielen, Janine
Cihangir, Sezgin
Hekkert, Karin
Borghans, Ine
Kool, Rudolf Bertijn
Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
title Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
title_full Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
title_fullStr Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
title_full_unstemmed Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
title_short Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study
title_sort can differences in length of stay between dutch university hospitals and other hospitals be explained by patient characteristics? a cross-sectional study
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398690/
https://www.ncbi.nlm.nih.gov/pubmed/30772843
http://dx.doi.org/10.1136/bmjopen-2018-021851
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