Veisi Mohammad, Daroudi Rajabali, Kordi Ramin, Akbari Sari Ali
Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Sports Medicine Research Centre, Tehran University of Medical Sciences, Tehran, Iran.
Med J Islam Repub Iran. 2024 Oct 29;38:125. doi: 10.47176/mjiri.38.125. eCollection 2024.
Discrete choice experiment (DCE) has become a leading method for evaluating health sector preferences. Despite its common use in evaluating physical activity (PA) preference, there is a lack of consensus on the optimal attribute and level, and this step often lacks rigorous documentation. This study aimed to identify suitable attributes and levels for a PA program for future application in DCE studies.
This study used a mixed-method approach. Initially, a rapid review was performed using databases and search engines. The findings were then used for a 2-stage semi-structured interview for attribute addition and scoring. Finally, top-scoring attributes were selected, and a small expert panel determined their associated levels.
In our rapid review, from 8144 titles according to search strategy, 10 were selected for data extraction. After content analysis and integration of similar attributes, 12 were identified and 4 more were added from interviews. Using the opinions of the expert panel, the top 5 attributes were selected and a total of 22 levels were determined for these 5 attributes. The selected attributes included monthly cost, companions, distance, PA time, and PA type, with total scores of 150, 149, 147, 144, and 123, respectively.
Our study identified 5 attributes and 22 corresponding levels as effective tools for measuring PA preferences using a DCE approach. As this is a pioneering study, further comprehensive research is recommended for improved outcomes.
离散选择实验（DCE）已成为评估卫生部门偏好的主要方法。尽管它在评估身体活动（PA）偏好方面被广泛使用，但在最佳属性和水平上缺乏共识，并且这一步骤往往缺乏严格的记录。本研究旨在确定适用于PA项目的属性和水平，以供未来在DCE研究中应用。
本研究采用混合方法。首先，使用数据库和搜索引擎进行快速综述。然后将研究结果用于两阶段半结构化访谈，以添加属性并进行评分。最后，选择得分最高的属性，并由一个小型专家小组确定其相关水平。
在我们的快速综述中，根据搜索策略从8144个标题中选择了10个进行数据提取。经过内容分析和对相似属性的整合，确定了12个属性，并从访谈中又添加了4个。根据专家小组的意见，选择了前5个属性，并为这5个属性确定了总共22个水平。所选属性包括每月成本、同伴、距离、PA时间和PA类型，总分分别为150、149、147、144和123。
我们的研究确定了5个属性和22个相应水平，作为使用DCE方法测量PA偏好的有效工具。由于这是一项开创性研究，建议进行进一步的综合研究以改善结果。
