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Related Experiment Video

Updated: Nov 21, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Mixed method evaluation of the CEBHA+ integrated knowledge translation approach: a protocol.

Lisa M Pfadenhauer1,2, Tanja Grath3,4, Peter Delobelle5,6

  • 1Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Elisabeth-Winterhalter-Weg 6, 81377, Munich, Germany. pfadenhauer@ibe.med.uni-muenchen.de.

Health Research Policy and Systems
|January 19, 2021
PubMed
Summary

The Collaboration for Evidence-based Healthcare and Public Health in Africa (CEBHA+) uses integrated knowledge translation (IKT) to improve non-communicable disease care. This study evaluates IKT

Keywords:
Co-productionComparative case studyComplexityEvaluationIntegrated knowledge translationMixed methodsNon-communicable diseasesSub-Saharan Africa

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Area of Science:

  • Public Health Research
  • Health Systems Strengthening
  • Knowledge Translation Science

Background:

  • The Collaboration for Evidence-based Healthcare and Public Health in Africa (CEBHA+) consortium focuses on non-communicable diseases (NCDs) across five African nations.
  • CEBHA+ aims to foster collaboration between researchers, policymakers, and practitioners to enhance evidence uptake and build capacity.
  • An integrated knowledge translation (IKT) approach is central to CEBHA+'s strategy, involving the development and evaluation of country-specific IKT strategies.

Purpose of the Study:

  • To evaluate the effectiveness of an integrated knowledge translation (IKT) approach in improving healthcare and public health in Africa.
  • To understand the mechanisms driving successful IKT and identify context-specific differences across diverse socio-cultural settings.
  • To address critical evidence gaps regarding the impact of involving decision-makers in the research process on evidence uptake.

Main Methods:

  • A comparative case study (CCS) design employing mixed methods was used to evaluate the CEBHA+ IKT approach.
  • Data collection involved quantitative surveys, qualitative interviews, quarterly updates, and policy document analysis.
  • Evaluations were conducted in two stages (early 2020 and early 2022), with data triangulation and cross-site comparisons.

Main Results:

  • The evaluation of the CEBHA+ IKT approach across five African countries is complex due to the intervention's nature and diverse contexts.
  • Preliminary findings address the impact of IKT on evidence uptake, the mechanisms of successful IKT, and socio-cultural variations.
  • The study provides insights into the practical application and outcomes of IKT in Sub-Saharan Africa.

Conclusions:

  • Evaluating complex interventions like IKT across multiple countries presents significant challenges.
  • The CEBHA+ evaluation addresses key knowledge gaps concerning the real-world impact and success factors of IKT.
  • Findings are expected to contribute to the broader science of integrated knowledge translation, particularly in low- and middle-income countries.