ArticleHealth research policy and systems2023
Current status and influencing factors of policy identification in health impact assessment: a case study of Zhejiang Province.
Article in Health research policy and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Exploring factors influencing health impact assessment policy identification in China: a comparative study of health and nonhealth sectors.Health research policy and systems · 2025Article
- Routemap for health impact assessment implementation: scoping review using the consolidated framework for implementation research.Health promotion international · 2025Article
- China is actively implementing health impact assessment legislation.Frontiers in public health · 2025Article
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7 authors.
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Abstract
backgroundHealth impact assessment (HIA) is a procedure, method and tool for evaluating the potential health impacts of policies, plans and construction projects, as well as the distribution of these impacts on population. Majority of international studies on health impact assessment have focussed on conceptual papers or case evaluations, neglecting participants' views on policies.
methodsA semi-structured interview with 30 health impact assessment experts was employed in this study, and the Nvivo software was utilized to analyse factors that influence policy identification. Subsequently, a multi-stage stratified random sampling method was adopted to survey 655 pilot staff members involved in health impact assessment in Zhejiang Province. Descriptive statistics were used to describe the current status and identify the factors influencing policy identification. In addition, hierarchical linear regression analysis and structural equation modelling were employed to determine the relationship between policy identification and influencing factors.
resultsStatistically significant differences were found among participants in the level of identification of policies across three dimensions. The policy sentiment dimension had the highest score (4.137 ± 0.664), followed by policy cognition (4.075 ± 0.632) and policy evaluation (3.631 ± 0.797) dimensions. Subject trust had a positive impact on policy cognition (β = 0.503, P < 0.001), policy sentiment (β = 0.504, P < 0.001) and policy evaluation (β = 0.465, P < 0.001). Procedural justice had a positive impact on policy sentiment (β = 0.085, P < 0.01) and policy evaluation (β = 0.084, P < 0.05), but not policy cognition (β = 0.056, P > 0.05). Policy identification is influenced by age and average monthly salary among other factors.
conclusionThese results highlight the importance of subjective trust and procedural justice in policy identification of health impact assessment. They provide valuable insights to developing interventions to overcome barriers to the implementation and enhancement of global identification of policies. Going forward, cross-sectoral synergies, enhanced international communication and training to increase participants' trust in the policy should be optimized to improve health impact assessment. Additional measures should be taken, such as ensuring seamless communication channels, embedding health impact assessment in administrative mechanisms, and establishing strong oversight and grievance mechanisms to improve fairness and transparency in the implementation and results of health impact assessment.
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