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Bridging the gap from knowledge to action: Implementation of the data to policy (D2P) training program at sub-national levels in Zambia

Banda, K.; Zimba, R.; Sakala, S. C.; Shakwelele, H.; Akinola, O. A.

2023-04-03 health policy
10.1101/2023.04.03.23288065 medRxiv
Show abstract

Knowledge translation is the synthesis, exchange, and application of knowledge by relevant stakeholders to accelerate the benefits of global and local innovation in strengthening health systems. In Zambia, research evidence is recognized as a critical element for the development of sound policies. This requires deliberate efforts towards generating, harvesting, and utilizing evidence from research and program data to inform decision-making. In response, the National Health Research Authority with support from the Clinton Health Access Initiative adapted a data to policy curriculum for use at sub-national levels and conducted training for 17 healthcare workers. The objectives of the training were to build the capacity of healthcare workers in analyzing research and other data to inform policy and programming as well as to develop six policy briefs for presentation to policymakers. The curriculum combines epidemiology with economic analysis and modeling to develop informative policy briefs. Sixteen modules were covered and delivered during periodic interactive workshops led by facilitators and mentorship was done in-between sessions. This was done within 6 months from February to August 2022. To assess the participants understanding, Kirkpatrick learning evaluation model was adapted upto level 3; we utilized a pre and posttest method of assessment. At pre-test, about 71% of the participants scored below 50 percent, while at posttest, all the participants scored above 50%. Six policy briefs were successfully developed covering Sexual Reproductive Maternal Newborn Child Adolescent Health and Nutrition topics. Implementation of this program provided a lot of learnings for programs aimed at improving uptake of evidence into action. One of the key learnings was that conducting economic evaluations and mathematical modelling of proposed policy interventions was critical in informing the decision-makers of the cost and benefits of the interventions. Policy options proposed in the policy brief were largely accepted by key stakeholders and proposed for piloting.

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