Understanding and Bridging Gaps in the Use of Evidence from Modeling for Evidence-Based Policy Making in Nigeria’s Health System

Chinyere O. Mbachu, Prince Agwu (Lead / Corresponding author), Felix Obi, Obinna Onwujekwe

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Abstract

Background. Modeled evidence is a proven useful tool for decision makers in making evidence-based policies and plans that will ensure the best possible health system outcomes. Thus, we sought to understand constraints to the use of models in making decisions in Nigeria’s health system and how such constraints can be addressed. Method. We adopted a mixed-methods study for the research and relied on the evidence to policy and Knowledge-to-Action (KTA) frameworks to guide the conceptualization of the study. An online survey was administered to 34 key individuals in health organizations that recognize modeling, which was followed by in-depth interviews with 24 of the 34 key informants. Analysis was done using descriptive analytic methods and thematic arrangements of narratives. Results. Overall, the data revealed poor use of modeled evidence in decision making within the health sector, despite reporting that modeled evidence and modelers are available in Nigeria. However, the disease control agency in Nigeria was reported to be an exception. The complexity of models was a top concern. Thus, suggestions were made to improve communication of models in ways that are easily comprehensible and to improve overall research culture within Nigeria’s health sector. Conclusion. Modeled evidence plays a crucial role in evidence-based health decisions. Therefore, it is imperative to strengthen and sustain in-country capacity to value, produce, interpret, and use modeled evidence for decision making in health. To overcome limitations in the usage of modeled evidence, decision makers, modelers/researchers, and knowledge brokers should forge viable relationships that regard and promote evidence translation.
Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalSociety for Medical Decision Making
Volume9
Issue number1
Early online date16 Jan 2024
DOIs
Publication statusPublished - Jan 2024

Keywords

  • modeling
  • policy making
  • EBDM
  • evidence-to-policy
  • knowledge translation
  • modeled evidence

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health Policy

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