Jouyani Yaser, Hadiyan Mohammad, Salehi Masoud, Souri Ali
Department of Health Economics, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
J Educ Health Promot. 2019 Jun 27;8:117. doi: 10.4103/jehp.jehp_404_18. eCollection 2019.
Regarding lack of resources in the health-care sector, prioritization of these resources is inevitable. The objective of the current study was to elicit public preference in prioritizing and allocating health resources using a discrete choice experiment technique, which is currently the most commonly applied method in this field of researches.
In this discrete choice study, five attributes were selected through interview with 25 health experts to elicit people preferences in Tehran (Iran) in 2017. Eighteen choice tasks were arranged within 3 blocks, and this would be achieved with a sample size of 579. Choice data were modeled using generalized estimating equation method and STATA 14 software.
Five attributes including level of emergency, severity of disease, communicable, benefit from treatment, and age are the most important attributes in the prioritizing health resources from the expert's point of view. As well as among these attributes, communicable (odds ratio = 2.81) is the most important attributes from the public's point of view.
The results of this study could be very useful for prioritizing resources which is one of the most challenging measurements of the health system. By identifying the importance of each patient's characteristic, patients can be categorized in groups with different priorities, as well as the diagnosis-related group system, based on which resources are allocated.
鉴于医疗保健部门资源匮乏，对这些资源进行优先排序是不可避免的。本研究的目的是使用离散选择实验技术得出公众在卫生资源优先排序和分配方面的偏好，这是目前该研究领域最常用的方法。
在这项离散选择研究中，通过与25位健康专家进行访谈，选取了五个属性，以了解2017年德黑兰（伊朗）民众的偏好。在3个模块中安排了18个选择任务，样本量为579。使用广义估计方程法和STATA 14软件对选择数据进行建模。
从专家的角度来看，包括紧急程度、疾病严重程度、传染性、治疗获益和年龄在内的五个属性是卫生资源优先排序中最重要的属性。在这些属性中，从公众的角度来看，传染性（优势比=2.81）是最重要的属性。
本研究结果对于资源优先排序可能非常有用，而资源优先排序是卫生系统最具挑战性的措施之一。通过确定每个患者特征的重要性，可以将患者分为具有不同优先级的组，以及基于诊断相关分组系统来分配资源。
