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Variability in Costs across Hospital Wards. A Study of Chinese Hospitals

INTRODUCTION: Analysts estimating the costs or cost-effectiveness of health interventions requiring hospitalization often cut corners because they lack data and the costs of undertaking full step-down costing studies are high. They sometimes use the costs taken from a single hospital, sometimes use...

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Autores principales: Adam, Taghreed, Evans, David B., Ying, Bian, Murray, Christopher J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038551/
https://www.ncbi.nlm.nih.gov/pubmed/24874566
http://dx.doi.org/10.1371/journal.pone.0097874
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author Adam, Taghreed
Evans, David B.
Ying, Bian
Murray, Christopher J. L.
author_facet Adam, Taghreed
Evans, David B.
Ying, Bian
Murray, Christopher J. L.
author_sort Adam, Taghreed
collection PubMed
description INTRODUCTION: Analysts estimating the costs or cost-effectiveness of health interventions requiring hospitalization often cut corners because they lack data and the costs of undertaking full step-down costing studies are high. They sometimes use the costs taken from a single hospital, sometimes use simple rules of thumb for allocating total hospital costs between general inpatient care and the outpatient department, and sometimes use the average cost of an inpatient bed-day instead of a ward-specific cost. PURPOSE: In this paper we explore for the first time the extent and the causes of variation in ward-specific costs across hospitals, using data from China. We then use the resulting model to show how ward-specific costs for hospitals outside the data set could be estimated using information on the determinants identified in the paper. METHODOLOGY: Ward-specific costs estimated using step-down costing methods from 41 hospitals in 12 provinces of China were used. We used seemingly unrelated regressions to identify the determinants of variability in the ratio of the costs of specific wards to that of the outpatient department, and explain how this can be used to generate ward-specific unit costs. FINDINGS: Ward-specific unit costs varied considerably across hospitals, ranging from 1 to 24 times the unit cost in the outpatient department — average unit costs are not a good proxy for costs at specialty wards in general. The most important sources of variability were the number of staff and the level of capacity utilization. PRACTICE IMPLICATIONS: More careful hospital costing studies are clearly needed. In the meantime, we have shown that in China it is possible to estimate ward-specific unit costs taking into account key determinants of variability in costs across wards. This might well be a better alternative than using simple rules of thumb or using estimates from a single study.
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spelling pubmed-40385512014-06-05 Variability in Costs across Hospital Wards. A Study of Chinese Hospitals Adam, Taghreed Evans, David B. Ying, Bian Murray, Christopher J. L. PLoS One Research Article INTRODUCTION: Analysts estimating the costs or cost-effectiveness of health interventions requiring hospitalization often cut corners because they lack data and the costs of undertaking full step-down costing studies are high. They sometimes use the costs taken from a single hospital, sometimes use simple rules of thumb for allocating total hospital costs between general inpatient care and the outpatient department, and sometimes use the average cost of an inpatient bed-day instead of a ward-specific cost. PURPOSE: In this paper we explore for the first time the extent and the causes of variation in ward-specific costs across hospitals, using data from China. We then use the resulting model to show how ward-specific costs for hospitals outside the data set could be estimated using information on the determinants identified in the paper. METHODOLOGY: Ward-specific costs estimated using step-down costing methods from 41 hospitals in 12 provinces of China were used. We used seemingly unrelated regressions to identify the determinants of variability in the ratio of the costs of specific wards to that of the outpatient department, and explain how this can be used to generate ward-specific unit costs. FINDINGS: Ward-specific unit costs varied considerably across hospitals, ranging from 1 to 24 times the unit cost in the outpatient department — average unit costs are not a good proxy for costs at specialty wards in general. The most important sources of variability were the number of staff and the level of capacity utilization. PRACTICE IMPLICATIONS: More careful hospital costing studies are clearly needed. In the meantime, we have shown that in China it is possible to estimate ward-specific unit costs taking into account key determinants of variability in costs across wards. This might well be a better alternative than using simple rules of thumb or using estimates from a single study. Public Library of Science 2014-05-29 /pmc/articles/PMC4038551/ /pubmed/24874566 http://dx.doi.org/10.1371/journal.pone.0097874 Text en © 2014 Adam 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Adam, Taghreed
Evans, David B.
Ying, Bian
Murray, Christopher J. L.
Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
title Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
title_full Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
title_fullStr Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
title_full_unstemmed Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
title_short Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
title_sort variability in costs across hospital wards. a study of chinese hospitals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038551/
https://www.ncbi.nlm.nih.gov/pubmed/24874566
http://dx.doi.org/10.1371/journal.pone.0097874
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