Background

Environmental health monitoring and its effects on health are very important in health systems. Relationship between environment and health can be done by simplifying data in understandable indicators for people and policy-makers. The present study presents the general framework for formulating environmental health quality index for Iran.

Methods

This study was implemented through expert panel at two levels: indicator domain determination and domain specific variables selection. Domain specific variables were selected based on the Driving force-Pressure-State-Exposure-Effect-Action (DPSEEA) framework from the list of national and international variables.

Results

Seven environmental health issues [air quality, drinking water, sewage disposal, food, radiation management and housing and human settlements] were determined, and three variables were selected for air quality, 8 variables for water quality, 5 variables for sanitation, 1 variable for food quality, 3 variables for housing and human settlements, 4 variables for solid waste management and 3 variables for radiation management.

Conclusions

Environmental health indicators determination based on the causal effect model leads to a better understanding of the relationship between the environment and health by simplifying data in an understandable format for public and improves prioritization of policy-making in the environmental health. In this study, environmental health indicators for Iran were proposed.

中文翻译：

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基于因果效应模型为伊朗制定环境健康指标 [EHI]。

背景

环境健康监测及其对健康的影响在卫生系统中非常重要。环境与健康之间的关系可以通过将数据简化为人们和决策者可以理解的指标来实现。本研究提出了制定伊朗环境健康质量指数的总体框架。

方法

本研究通过专家小组在两个层面实施：指标领域确定和领域特定变量选择。基于驱动力-压力-状态-暴露-影响-行动 (DPSEEA) 框架从国家和国际变量列表中选择领域特定变量。

结果

确定了 7 个环境健康问题（空气质量、饮用水、污水处理、食品、辐射管理以及住房和人类住区），其中空气质量选择了 3 个变量，水质选择了 8 个变量，卫生设施选择了 5 个变量，环境卫生选择了 1 个变量。食品质量、住房和人类住区的 3 个变量、固体废物管理的 4 个变量和辐射管理的 3 个变量。

结论

基于因果效应模型的环境健康指标确定通过以公众可理解的格式简化数据，从而更好地理解环境与健康之间的关系，并提高环境健康决策的优先级。在这项研究中，提出了伊朗的环境健康指标。