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Quantitative health impact assessment methodology for societal initiatives: A scoping review
Environmental Impact Assessment Review ( IF 9.8 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.eiar.2020.106509
Laurens M. Reumers , Marleen P.M. Bekker , Maria W.J. Jansen , Henk B.M. Hilderink , Jan-Kees Helderman , Dirk Ruwaard

Abstract Health initiatives are increasingly situated outside the institutionalised public health sector. The intersectoral character of societal initiatives, along with indirect relationships between initiatives and health, makes making projections of reach, impact and goal achievement complex. This scoping review of the peer-reviewed literature searches for appropriate methods to conduct quantitative health impact assessment for such initiatives. Database searches were done in PubMed and Web of Science, as well as a reference list search. Studies were then selected in a systematic manner. The review includes 64 studies. Most studies made estimates using simulation methods, notably with Monte Carlo, Markov and system dynamics modelling. Inputs for the models such as transition probabilities and price elasticities were taken from census, register and survey data, evidence from previous (scientific) studies and sometimes outcomes from stakeholder participation. Of different health outcome measures, the number of deaths was most frequently used, followed by QALYs and DALYs and life years. Health effect distribution is frequently mentioned, but not often estimated. Scientific methodological publications on HIAs focusing on civil society initiatives are relatively sparse, indicating possibilities for further methodological advancement. Estimating health effect distributions and incorporating stakeholder participation could make meaningful additions to standard practice.

中文翻译:

社会倡议的定量健康影响评估方法:范围界定审查

摘要 卫生举措越来越多地位于制度化的公共卫生部门之外。社会倡议的跨部门特征,以及倡议与健康之间的间接关系,使得对范围、影响和目标实现的预测变得复杂。这种对同行评审文献的范围审查搜索了对此类举措进行定量健康影响评估的适当方法。在 PubMed 和 Web of Science 以及参考列表搜索中进行了数据库搜索。然后以系统的方式选择研究。该评价包括 64 项研究。大多数研究使用模拟方法进行估计,特别是使用蒙特卡罗、马尔可夫和系统动力学建模。模型的输入(例如转换概率和价格弹性)取自人口普查,登记和调查数据、先前(科学)研究的证据,有时是利益相关者参与的结果。在不同的健康结果指标中,死亡人数最常用,其次是 QALYs 和 DALYs,以及生命年。健康效应分布经常被提及,但不常被估计。侧重于民间社会倡议的 HIA 科学方法论出版物相对稀少,这表明方法论有可能进一步进步。估计健康影响分布和纳入利益相关者的参与可以对标准实践做出有意义的补充。其次是 QALYs 和 DALYs 以及生命年。健康效应分布经常被提及,但不常被估计。侧重于民间社会倡议的 HIA 科学方法论出版物相对稀少,这表明方法论有可能进一步进步。估计健康影响分布和纳入利益相关者的参与可以对标准实践做出有意义的补充。其次是 QALYs 和 DALYs 以及生命年。健康效应分布经常被提及,但不常被估计。侧重于民间社会倡议的 HIA 科学方法论出版物相对稀少,这表明方法论有可能进一步进步。估计健康影响分布和纳入利益相关者的参与可以对标准实践做出有意义的补充。
更新日期:2021-01-01
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