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制定需要冠状动脉血管造影术的患者的优先排序框架。

Developing a prioritisation framework for patients in need of coronary artery angiography.

机构信息

Social Determinants of Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Department of Health Policy and Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

BMC Public Health. 2021 Nov 3;21(1):1997. doi: 10.1186/s12889-021-12088-7.

Abstract

BACKGROUND

Effective waiting list management and comprehensive prioritisation can provide timely delivery of appropriate services to ensure that the patient needs are met and increase equity in the provision of health services. We developed a prioritisation framework for patients in need of coronary artery angiography (CAA).

METHODS

We used a multi-methods approach to elicit effective factors that affect CAA patient prioritisation. Qualitative data wase collected using semi-structured interviews with 15 experts. The final set of factors was selected using experts' consensus through modifed Delphi technique. The framework was finalised during expert panel meetings.

RESULTS

212 effective factors were identified based on the literature review, interviews, and expert panel discussion of them, 37 factors were selected for modifed Delphi study. Following two rounds of Delphi discussions, seven final factors were selected and weighed by ten experts using pair-wise comparisons. The following weights were given: the severity of pain and symptoms (0.22), stress testing (0.18), background diseases (0.15), number of myocardial infarctions (0.15), waiting time (0.10), reduction of economic and social performance (0.12), and special conditions (0.08).

CONCLUSION

Clinical effective factors were important for CAA prioritisation framework. Using this framework can potentially lead to improved accountability and justice in the health system.

摘要

背景

有效的候补名单管理和综合优先级排序可以提供及时的适当服务,以确保满足患者的需求,并增加卫生服务提供的公平性。我们为需要冠状动脉血管造影(CAA)的患者制定了一个优先级排序框架。

方法

我们采用多方法的方法来确定影响 CAA 患者优先级排序的有效因素。通过与 15 名专家进行半结构化访谈收集定性数据。通过改良 Delphi 技术,利用专家共识选择最终的因素集。框架是在专家小组会议上敲定的。

结果

基于文献综述、访谈和专家小组讨论,确定了 212 个有效因素,有 37 个因素被选入改良 Delphi 研究。经过两轮 Delphi 讨论,选择了 7 个最终因素,并由 10 名专家使用两两比较进行权重赋值。以下是权重分配:疼痛和症状的严重程度(0.22)、应激试验(0.18)、背景疾病(0.15)、心肌梗死次数(0.15)、等待时间(0.10)、经济和社会表现下降(0.12)和特殊情况(0.08)。

结论

临床有效因素对 CAA 优先级排序框架很重要。使用该框架可以提高卫生系统的问责制和公正性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f4/8567717/e936f1dddc2e/12889_2021_12088_Fig1_HTML.jpg

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