南非医疗保健服务指标相对重要性分析:公用事业分析方法

S. Gani
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摘要

背景:在南非,穷人和富人在获得医疗服务方面存在很大差距。政府实施了多项政策来解决这一差距,但人们对医疗服务质量差的抱怨依然存在。研究目的:本研究旨在探讨南非茨瓦内市医疗服务指标的相对重要性:本研究采用实用方法,以南非茨瓦内市为背景,分析医疗服务指标的相对重要性。研究采用联合分析法,以更好地了解医疗用户对服务范围、药物和咨询等待时间、择期手术等待时间以及地点等因素的偏好。对 280 名受访者进行了问卷调查,其中包括黑人 130 人,白人 70 人,印度人 40 人,有色人种 40 人。数据从公立和私立医疗机构的用户中收集,并使用独立的 t 检验对结果进行比较:研究发现,公立和私立医疗机构用户的平均效用没有明显的统计学差异。这一结果表明,无论是使用公共服务还是使用私人服务,医疗用户的偏好在很大程度上具有可比性,可以通过使用统一的技术来解决。研究结果还显示了每个指标最受欢迎的水平,让人们深入了解患者的偏好及其社会影响。这项研究进一步突出了用户的各种医疗偏好:结论:这一研究结果强调了医疗保健用户具有独特的期望,需要个性化的医疗保健服务。研究结果为政策制定者和医疗从业人员提供了若干建议,以改善服务提供和提高患者满意度。收稿日期2024 年 5 月 01 日 | 已审阅:修订:2024 年 7 月 12 日 | 接受:2024 年 7 月 21 日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of the relative importance of healthcare services indicators in South Africa: Utilities Analysis Approach
Background: There is a wide gap in healthcare access between the poor and the rich in South Africa. The government has implemented several policies to address this gap; nonetheless the complaints about poor healthcare delivery exist. Aims: The objective of this study is to examine the relative importance of healthcare service indicators in Tshwane Municipality, South Africa. Methods: This research uses a utility approach to analyse the relative importance of healthcare service indicators in the context of the Tshwane Municipality in South Africa. The study applies conjoint analysis to better understand healthcare users' preferences for several factors such as service range, waiting time for medications and consultations, waiting time for elective operations, and location. Questionnaire was administered on 280 respondents, comprising the following: Black – 130, Whites – 70, Indians – 40, and Coloured – 40. The data was collected from both public and private healthcare users, and the results were compared using an independent t-test. Results: The study found that there were no statistically significant variations in the mean utilities of public and private healthcare users. The finding suggests that healthcare users' preferences, whether they utilize public or private services, are largely comparable and can be addressed by utilizing unified techniques. The result also demonstrates the most favoured levels for each metric, providing insights into patient preferences and their social impacts. The study further highlights various healthcare preferences of users. Conclusion: This finding emphasises that healthcare users have unique expectations, requiring personalised healthcare delivery. The findings have several recommendations for policymakers and healthcare practitioners to improve service delivery and patient satisfaction.   Received: 01 May 2024 | Reviewed: 03 June 2024 | Revised: 12 July 2024 | Accepted: 21 July 2024.
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