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Determinants of per diem Hospital Costs in Mental Health
INTRODUCTION: An understanding of differences in hospital costs between patient groups is relevant for the efficient organisation of inpatient care. The main aim of this study was to confirm the hypothesis that eight a priori identified cost drivers influence per diem hospital costs. A second aim wa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816317/ https://www.ncbi.nlm.nih.gov/pubmed/27031955 http://dx.doi.org/10.1371/journal.pone.0152669 |
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author | Wolff, Jan McCrone, Paul Patel, Anita Normann, Claus |
author_facet | Wolff, Jan McCrone, Paul Patel, Anita Normann, Claus |
author_sort | Wolff, Jan |
collection | PubMed |
description | INTRODUCTION: An understanding of differences in hospital costs between patient groups is relevant for the efficient organisation of inpatient care. The main aim of this study was to confirm the hypothesis that eight a priori identified cost drivers influence per diem hospital costs. A second aim was to explore further variables that might influence hospital costs. METHODS: The study included 667 inpatient episodes consecutively discharged in 2014 at the psychiatric hospital of the Medical Centre- University of Freiburg. Fifty-one patient characteristics were analysed. Per diem costs were calculated from the hospital perspective based on a detailed documentation of resource use. Mixed-effects maximum likelihood regression and an ensemble of conditional inference trees were used to analyse data. RESULTS: The study confirmed the a priori hypothesis that not being of middle age (33–64 years), danger to self, involuntary admission, problems in the activities of daily living, the presence of delusional symptoms, the presence of affective symptoms, short length of stay and the discharging ward affect per diem hospital costs. A patient classification system for prospective per diem payment was suggested with the highest per diem hospital costs in episodes having both delusional symptoms and involuntary admissions and the lowest hospital costs in episodes having neither delusional symptoms nor somatic comorbidities. CONCLUSION: Although reliable cost drivers were identified, idiosyncrasies of mental health care complicated the identification of clear and consistent differences in hospital costs between patient groups. Further research could greatly inform current discussions about inpatient mental health reimbursement, in particular with multicentre studies that might find algorithms to split patients in more resource-homogeneous groups. |
format | Online Article Text |
id | pubmed-4816317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48163172016-04-14 Determinants of per diem Hospital Costs in Mental Health Wolff, Jan McCrone, Paul Patel, Anita Normann, Claus PLoS One Research Article INTRODUCTION: An understanding of differences in hospital costs between patient groups is relevant for the efficient organisation of inpatient care. The main aim of this study was to confirm the hypothesis that eight a priori identified cost drivers influence per diem hospital costs. A second aim was to explore further variables that might influence hospital costs. METHODS: The study included 667 inpatient episodes consecutively discharged in 2014 at the psychiatric hospital of the Medical Centre- University of Freiburg. Fifty-one patient characteristics were analysed. Per diem costs were calculated from the hospital perspective based on a detailed documentation of resource use. Mixed-effects maximum likelihood regression and an ensemble of conditional inference trees were used to analyse data. RESULTS: The study confirmed the a priori hypothesis that not being of middle age (33–64 years), danger to self, involuntary admission, problems in the activities of daily living, the presence of delusional symptoms, the presence of affective symptoms, short length of stay and the discharging ward affect per diem hospital costs. A patient classification system for prospective per diem payment was suggested with the highest per diem hospital costs in episodes having both delusional symptoms and involuntary admissions and the lowest hospital costs in episodes having neither delusional symptoms nor somatic comorbidities. CONCLUSION: Although reliable cost drivers were identified, idiosyncrasies of mental health care complicated the identification of clear and consistent differences in hospital costs between patient groups. Further research could greatly inform current discussions about inpatient mental health reimbursement, in particular with multicentre studies that might find algorithms to split patients in more resource-homogeneous groups. Public Library of Science 2016-03-31 /pmc/articles/PMC4816317/ /pubmed/27031955 http://dx.doi.org/10.1371/journal.pone.0152669 Text en © 2016 Wolff et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wolff, Jan McCrone, Paul Patel, Anita Normann, Claus Determinants of per diem Hospital Costs in Mental Health |
title | Determinants of per diem Hospital Costs in Mental Health |
title_full | Determinants of per diem Hospital Costs in Mental Health |
title_fullStr | Determinants of per diem Hospital Costs in Mental Health |
title_full_unstemmed | Determinants of per diem Hospital Costs in Mental Health |
title_short | Determinants of per diem Hospital Costs in Mental Health |
title_sort | determinants of per diem hospital costs in mental health |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816317/ https://www.ncbi.nlm.nih.gov/pubmed/27031955 http://dx.doi.org/10.1371/journal.pone.0152669 |
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