Suppr超能文献

新冠疫情下疫苗接种率低的试点地区医院服务绩效比较

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

作者信息

Erdogan Melike, Ayyildiz Ertugrul

机构信息

Department of Industrial Engineering, Duzce University, 81620 Duzce, Turkey.

Department of Industrial Engineering, Karadeniz Technical University, 61080 Trabzon, Turkey.

出版信息

Expert Syst Appl. 2022 Nov 15;206:117773. doi: 10.1016/j.eswa.2022.117773. Epub 2022 Jun 9.

Abstract

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.

摘要

衡量健康中心的质量和绩效并提出政策至关重要,以便在大流行期间卫生服务能够不间断地持续进行,并使新冠肺炎医院的新程序得以持续且正确地实施。医院服务质量和绩效的衡量不仅应有助于对个人至关重要的卫生服务的顺畅开展,还应有助于消除与新冠肺炎相关的治疗和疫苗接种过程中的犹豫情绪。此前,已经提出了一些模型,通过引入一些标准来衡量和评估在某些特殊情况下的医院服务绩效,但尚未有在大流行条件下开展此类研究。基于此,我们旨在通过对试点地区的医院进行一项衡量研究来填补文献中的空白,该试点地区新冠肺炎病例常见,但疫苗接种率较低。为此,评估标准按照SERVPERF(服务绩效)中的基本维度进行收集,SERVPERF是一种广泛用于衡量服务质量的工具,并提出了一种模糊多准则决策分析方法来衡量试点地区公立医院的服务绩效。在所提出的方法中,由CRITIC-TOPSIS组成的集成方法已通过费马模糊集进行了扩展。通过问卷调查获取专家意见以确定医院服务绩效。基于从试点地区医院获得的结果,提出了全球范围内在大流行条件下提供服务的医院为提高服务质量应采取的政策和策略。此外,还对问题中的参数敏感性进行了测量,进而对所得结果的有效性进行了验证。根据结果,确定在大流行期间保证是最重要的主要服务绩效因素。因此,管理者应制定策略来解决人们对疫苗的担忧,并增强人们对医院的信任。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b08a/9181836/c47fe6fb8444/gr1_lrg.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验