Modeling
Anahita Mazaheri kalahroodi; Majid Ramezan; Hasan Givaryan; Majid Rostami Beshmani
Abstract
Health is as one of the important requirements of equity and development in all societies. One of the important goals of public health policies in Iran that everyone can access health services fairly, but most of the time this goal is achieved very weak when it will be implemented. Therefore, it is necessary ...
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Health is as one of the important requirements of equity and development in all societies. One of the important goals of public health policies in Iran that everyone can access health services fairly, but most of the time this goal is achieved very weak when it will be implemented. Therefore, it is necessary to design a suitable model for the implementation of public health policies. the research method is mixed, first method is qualitative and data-based theory strategy. To gather the required data, the researcher conducted semi-structured interviews with 15 policy specialists and health experts. The interviews were analyzed through coding to according to Strauss and Corbin’s paradigm model. The results of data analysis finally research theoretical saturation as it consisted of 6 main categories and 24 subcategories and 120 concepts and to create a model that identifies the causal, context and intervention and their impact on the central phenomenon that same the implementation of public health policies based on equity.then this model was surveyed by 15 health experts using fuzzy Delphi method with questionnaire. Then removing, modifying and adding a number of indicators, finally 58 concepts, 26 sub-categories and 6 main categories were confirmed. Model of research was accredited by questionnaire was designed based on the qualitative findings of the previous stage, a sample size of 384 health sector experts was surveyed based on Cochran's formula, then the data were collected using structural equation modeling by Smart PLS software. All of indicators, sub-categories, main categories of the model are desired range, which shows there are significant relationships between the model of variables.
