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开发一种评估长期护理系统在护理过渡方面表现的工具:长期护理中的过渡护理评估工具(TCAT-LTC)。

Development of a tool for assessing the performance of long-term care systems in relation to care transition: Transitional Care Assessment Tool in Long-Term Care (TCAT-LTC).

机构信息

Department of Health Economics and Social Security, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Collegium Medicum, Skawińska 8, 31-066, Krakow, Poland.

Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, Maastricht, MD, 6200, The Netherlands.

出版信息

BMC Geriatr. 2023 Nov 20;23(1):760. doi: 10.1186/s12877-023-04467-z.

DOI:10.1186/s12877-023-04467-z
PMID:37986151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10662551/
Abstract

BACKGROUND

Improving the quality and safety of care transitions is a priority in many countries. Carrying out performance measurements play a significant role in improving quality of decisions undertaken by different actors involved in reforms. Therefore, the main objective of this paper is to present the development of an evaluation tool for assessing the performance of long-term care systems in relation to care transition, namely the Transitional Care Assessment Tool in Long-Term Care (TCAT-LTC). This study is performed as part of a larger European TRANS-SENIOR project.

METHODS

The development of the TCAT-LTC involved three steps. First, we developed a conceptual model based on Donabedian's quality framework and literature review. Second, we carried out a thorough process of item pool generation using deductive (systematic literature review) and deductive-inductive methods (in-depth interviews) with experts in the field of long-term care. Third, we conducted preliminary validation of the tool by asking experts in research and practice to provide an opinion on a tool and to assess content validity. Future fourth step will involve a tool's pilot with country experts from Germany, the Netherlands and Poland.

RESULTS

By applying methodological triangulation, we developed the TCAT-LTC, which consists of 2 themes, 12 categories and 63 items. Themes include organizational and financial aspects. Organizational aspects include categories such as communication, transfer of information, availability and coordination of resources, training and education of staff, education/support of the patient/informal caregiver, involvement of the patient/informal caregiver, telemedicine and e-Health, and social care. Financial aspects include categories such as primary care, hospital, and long-term care. We also present the instructions on the application of the TCAT-LTC.

CONCLUSIONS

In this paper, we presented the development of the TCAT-LTC evaluation tool for assessing the performance of long-term care systems in relation to care transition. The TCAT-LTC is the first tool to assess the performance of long-term care systems in relation to care transition. Assessments can be carried out at the national and international level and enable to monitor, evaluate, and compare performance of the long-term care systems in relation to care transition within and across countries.

摘要

背景

提高医疗保健服务的质量和安全性是许多国家的首要任务。开展绩效评估对于提高参与改革的不同利益相关方所做决策的质量起着至关重要的作用。因此,本文的主要目标是介绍一种评估长期护理系统在医疗保健服务转介方面绩效的评估工具的开发,即长期护理中转评估工具(TCAT-LTC)。本研究是作为欧洲 TRANS-SENIOR 项目的一部分进行的。

方法

TCAT-LTC 的开发分为三个步骤。首先,我们基于 Donabedian 的质量框架和文献综述构建了一个概念模型。其次,我们采用系统文献回顾(演绎法)和深入访谈(演绎归纳法),与长期护理领域的专家合作,广泛收集条目池。最后,我们请研究和实践领域的专家对工具进行初步验证,以获取他们对工具的意见和评估内容的有效性。未来的第四步将包括德国、荷兰和波兰的国家专家对工具进行试点测试。

结果

通过应用方法学的三角测量,我们开发了 TCA-TLTC,它由 2 个主题、12 个类别和 63 个条目组成。主题包括组织和财务方面。组织方面包括沟通、信息传递、资源的可获得性和协调性、员工培训和教育、患者/非正式照护者的教育/支持、患者/非正式照护者的参与、远程医疗和电子健康以及社会护理等类别。财务方面包括初级保健、医院和长期护理等类别。我们还介绍了 TCA-TLTC 的应用说明。

结论

在本文中,我们介绍了 TCA-TLTC 评估工具的开发,该工具用于评估长期护理系统在医疗保健服务转介方面的绩效。TCAT-LTC 是第一个评估长期护理系统在医疗保健服务转介方面绩效的工具。评估可以在国家和国际层面进行,能够监测、评估和比较各国之间长期护理系统在医疗保健服务转介方面的绩效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9224/10662551/fb628df4cf4f/12877_2023_4467_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9224/10662551/cc714450250c/12877_2023_4467_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9224/10662551/fb628df4cf4f/12877_2023_4467_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9224/10662551/cc714450250c/12877_2023_4467_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9224/10662551/fb628df4cf4f/12877_2023_4467_Fig2_HTML.jpg

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