Primary development and validation of a quantitative health policy impact assessment tool (HEPIAT): The case of Iranian targeted subsidy plan

Background: As a primary phase of a Health Impact Assessment (HIA) on the Iranian Targeted Subsidy Plan (TSP), this study was conducted to assess the psychometric properties of a newly developed quantitative Health Policy Impact Assessment Tool (HEPIAT).    Methods: In 2014, multistage cluster sampling was employed to recruit 509 key informants in Sanandaj, Iran, to participate in this cross-sectional study. A comprehensive literature review was conducted to develop the initial draft of HEPIAT. Content validity was determined by a consensus panel of experts, and construct validity and factor structure of the HEPIAT were assessed using Exploratory Factor Analysis (EFA). Reliability was assessed utilizing the Cronbach’s alpha coefficient and the test– retest reliability coefficient.    Results: Applying EFA, the optimal solution including 35 items and 6 factors was emerged, which accounted for 64.94% of the total variance. The mean items’ relevancy, clarity, simplicity, and their total mean±SD score were 88.3±0.2, 90.1±0.5, 86.1±0.7, and 89.6±0.4, respectively. The scores of intra-class correlation coefficients (ICC) and internal consistency reliability for all the factors were ranged from 0.67 to 0.89. HEPIAT demonstrated an appropriate validity, reliability, functionality, and simplicity.    Conclusion: Although further works in different settings are warranted, HEPIAT may be a practical and useful quantitative instrument in socioeconomic-related HIAs aimed to inform policymakers and stakeholders on the health impacts of their decisions and plans.