一个社会相互依存的选择框架,用于医疗保健决策中的社会影响:一个研究协议
Sven P H Nouwens1,2,3, Jorien Veldwijk4,2,3, Luis Pilli4,2,3
1Erasmus Universiteit Rotterdam Erasmus School of Health Policy and Management, Rotterdam, Netherlands nouwens@eshpm.eur.nl.
BMJ open
|March 8, 2024
概括
医疗保健决策受到社会影响. 这项研究开发了一个新的模型,整合了社会因素,以改善对医疗保健选择的预测,并为政策提供信息. 关键词:医疗保健决策,社会影响,选择模式.
科学领域:
- 卫生经济学 卫生经济学
- 行为科学 行为科学
- 健康的社会决定因素
背景情况:
- 当前的医疗保健选择模式往往因为假设在社会隔离中做出的决定而失败.
- 医疗保健用户的决策在很大程度上,有时完全受到社会影响的影响.
- 准确预测医疗保健选择需要明确地将社会因素纳入决策模型.
研究的目的:
- 为医疗保健用户的决策制定一个社会上相互依存的选择框架.
- 识别和明确建模影响医疗保健选择的社会影响.
- 提高医疗保健用户决策预测的准确性,并为政策提供信息.
主要方法:
- 一种混合方法的方法,结合了系统的文献审查,探索性焦点小组和半结构面试.
- 定性数据的代分析,使用带有诱导和演编码的恒定比较方法.
- 应用德尔菲技术,在最终选择框架上达成共识.
主要成果:
- 在四个医疗领域确定影响医疗保健用户决策的关键社会影响.
- 基于经验发现的社会相互依赖的选择框架草案的制定.
- 通过专家审议在最终框架上达成共识.
结论:
- 社会相互依赖是医疗保健决策中的一个关键,但经常被忽视的因素.
- 开发的框架为建模医疗保健选择提供了更现实的,更准确的方法.
- 将社会影响纳入选择模型可以改善医疗保健政策和用户结果.
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