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Costs of polish county hospitals–A behavioral panel function

In the paper the costs of Polish county hospitals in 2015–2018 are studied using behavioral cost function. The set of variables combines hospitals’ characteristics which may determine their level of costs, such as the form of ownership, bed turnover rate, number of patient-days and share of beds in...

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Autor principal: Sielska, Agata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765635/
https://www.ncbi.nlm.nih.gov/pubmed/35041721
http://dx.doi.org/10.1371/journal.pone.0262646
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author Sielska, Agata
author_facet Sielska, Agata
author_sort Sielska, Agata
collection PubMed
description In the paper the costs of Polish county hospitals in 2015–2018 are studied using behavioral cost function. The set of variables combines hospitals’ characteristics which may determine their level of costs, such as the form of ownership, bed turnover rate, number of patient-days and share of beds in emergency department with environment characteristics which may influence both outsourcing costs and patients’ health. In 2017 the system of basic hospital service provision (hospital network) was introduced in Poland. Dummy variables included in the model represent the category of hospital in the system. The results show that the costs may be described using fixed effect panel model. Positive impact of percentage of emergency department patients transferred to other departments and of wages is found. Higher ratio of residents and interns to doctors is found to decrease costs. Dummy variable for the period after the introduction of hospital network assumed a negative sign with costs, but the parameter remained insignificant.
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spelling pubmed-87656352022-01-19 Costs of polish county hospitals–A behavioral panel function Sielska, Agata PLoS One Research Article In the paper the costs of Polish county hospitals in 2015–2018 are studied using behavioral cost function. The set of variables combines hospitals’ characteristics which may determine their level of costs, such as the form of ownership, bed turnover rate, number of patient-days and share of beds in emergency department with environment characteristics which may influence both outsourcing costs and patients’ health. In 2017 the system of basic hospital service provision (hospital network) was introduced in Poland. Dummy variables included in the model represent the category of hospital in the system. The results show that the costs may be described using fixed effect panel model. Positive impact of percentage of emergency department patients transferred to other departments and of wages is found. Higher ratio of residents and interns to doctors is found to decrease costs. Dummy variable for the period after the introduction of hospital network assumed a negative sign with costs, but the parameter remained insignificant. Public Library of Science 2022-01-18 /pmc/articles/PMC8765635/ /pubmed/35041721 http://dx.doi.org/10.1371/journal.pone.0262646 Text en © 2022 Agata Sielska https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Sielska, Agata
Costs of polish county hospitals–A behavioral panel function
title Costs of polish county hospitals–A behavioral panel function
title_full Costs of polish county hospitals–A behavioral panel function
title_fullStr Costs of polish county hospitals–A behavioral panel function
title_full_unstemmed Costs of polish county hospitals–A behavioral panel function
title_short Costs of polish county hospitals–A behavioral panel function
title_sort costs of polish county hospitals–a behavioral panel function
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765635/
https://www.ncbi.nlm.nih.gov/pubmed/35041721
http://dx.doi.org/10.1371/journal.pone.0262646
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