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Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates

It is essential to measure the quality and performance of health centers and propose policies in order for health services to continue without interruption during the pandemic period and for the continuous and proper implementation of new procedures in hospitals with COVID-19.The measurement of serv...

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Detalles Bibliográficos
Autores principales: Erdogan, Melike, Ayyildiz, Ertugrul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181836/
https://www.ncbi.nlm.nih.gov/pubmed/35702379
http://dx.doi.org/10.1016/j.eswa.2022.117773
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author Erdogan, Melike
Ayyildiz, Ertugrul
author_facet Erdogan, Melike
Ayyildiz, Ertugrul
author_sort Erdogan, Melike
collection PubMed
description It is essential to measure the quality and performance of health centers and propose policies in order for health services to continue without interruption during the pandemic period and for the continuous and proper implementation of new procedures in hospitals with COVID-19.The measurement of service quality and performance in hospitals should be provided not only for the smooth flow of health services that are vital for individuals but also for the elimination of hesitations in the treatment and vaccination processes related to COVID-19. Previously, models have been proposed by introducing some criteria to measure and evaluate hospital service performance in some extraordinary conditions, but such a study has not yet been put forward under pandemic conditions. Starting from this point, we aim to fill the gap in the literature by conducting a measurement study for hospitals in the pilot region, where COVID-19 cases are common but vaccination is observed at low rates. For this aim, the evaluation criteria are gathered under basic dimensions as in SERVPERF (Service Performance), which is a widely used tool for measuring service quality and a fuzzy multi-criteria decision analysis is proposed to measure the service performance of state hospitals for a pilot region. In the proposed methodology, the integrated methods consisting of CRITIC-TOPSIS have been extended with fermatean fuzzy sets. Expert opinions are taken via questionaries to determine hospital service performances. Based on the results obtained from the hospitals in the pilot region, the policies and strategies to be adopted by the hospitals serving under pandemic conditions worldwide to increase the service quality have been put forward. Additionally, the sensitivity of the parameters in the problem is measured, and then the validity of the obtained results is also validated. According to the results, assurance is determined as the most important main service performance factor during the pandemic period. So, the managers should develop strategies to address people's concerns about vaccines and increase people's trust in hospitals.
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spelling pubmed-91818362022-06-10 Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates Erdogan, Melike Ayyildiz, Ertugrul Expert Syst Appl Article It is essential to measure the quality and performance of health centers and propose policies in order for health services to continue without interruption during the pandemic period and for the continuous and proper implementation of new procedures in hospitals with COVID-19.The measurement of service quality and performance in hospitals should be provided not only for the smooth flow of health services that are vital for individuals but also for the elimination of hesitations in the treatment and vaccination processes related to COVID-19. Previously, models have been proposed by introducing some criteria to measure and evaluate hospital service performance in some extraordinary conditions, but such a study has not yet been put forward under pandemic conditions. Starting from this point, we aim to fill the gap in the literature by conducting a measurement study for hospitals in the pilot region, where COVID-19 cases are common but vaccination is observed at low rates. For this aim, the evaluation criteria are gathered under basic dimensions as in SERVPERF (Service Performance), which is a widely used tool for measuring service quality and a fuzzy multi-criteria decision analysis is proposed to measure the service performance of state hospitals for a pilot region. In the proposed methodology, the integrated methods consisting of CRITIC-TOPSIS have been extended with fermatean fuzzy sets. Expert opinions are taken via questionaries to determine hospital service performances. Based on the results obtained from the hospitals in the pilot region, the policies and strategies to be adopted by the hospitals serving under pandemic conditions worldwide to increase the service quality have been put forward. Additionally, the sensitivity of the parameters in the problem is measured, and then the validity of the obtained results is also validated. According to the results, assurance is determined as the most important main service performance factor during the pandemic period. So, the managers should develop strategies to address people's concerns about vaccines and increase people's trust in hospitals. Elsevier Ltd. 2022-11-15 2022-06-09 /pmc/articles/PMC9181836/ /pubmed/35702379 http://dx.doi.org/10.1016/j.eswa.2022.117773 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Erdogan, Melike
Ayyildiz, Ertugrul
Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
title Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
title_full Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
title_fullStr Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
title_full_unstemmed Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
title_short Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
title_sort comparison of hospital service performances under covid-19 pandemics for pilot regions with low vaccination rates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181836/
https://www.ncbi.nlm.nih.gov/pubmed/35702379
http://dx.doi.org/10.1016/j.eswa.2022.117773
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