From public health and demographic research to decision making: An intervention study in Giza Governorate-Egypt

Madiha Said Abd El Razik and Marwa Rashad Salem

Evaluation and Program Planning, 2019, vol. 77, issue C

Abstract: The purpose of the current study was to develop an empirical model that shows how various contextual data are analyzed, interpreted and presented as evidence-based information for decision making and action taking. A Pre-test-Posttest intervention study was conducted at the National Population Council (NPC)-Giza governorate (GG) where all data were collected from all governmental organizations on an annual basis at the district level (19 districts), which include 28 indicators. Composite indices and indicators (n = 9) had been ranked and presented as a matrix that assigned districts into three situations: Best (green zone), prospective (yellow zone) and critical (red zone). Intervention: Presentation of the “Districts’ Enactment Matrix” (DEM) for the year 2014 in GG –Regional Council for Population (RCP) quarterly meetings, headed by the governor and attended by representatives of all ministries. The feedback and recommendation for action taking by participants were reported by the researchers. Evaluation of the intervention was done by comparing DEM 2014 and DEM 2016. Results: At the governorate level, short-term strategies were used to improve the situation. All the districts in red zone 2014 and two districts in the yellow zone had demonstrated positive changes in their 28 indicators. Conclusion: The DEM model is a simple tool that facilitates communication between researchers and decision-makers that could be applied in different public health and population programs.

Keywords: Public health programs; Decision making; Districts’ enactment matrix; Egypt-Giza; National population council; Evidence-based information (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:epplan:v:77:y:2019:i:c:s0149718918304117

DOI: 10.1016/j.evalprogplan.2019.101704

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