The project aims to improve the accessibility and utilization of high-quality mathematical models for decision-making in public health, by identifying factors that facilitate or inhibit these exchanges across four countries and offering recommendations to enhance the integration of modeled evidence into health decision-making processes.
Enhancing public health decision-making by identifying barriers, evaluating practices, and proposing improvements for evidence use.
Identify factors and approaches that facilitate or inhibit the use of modeled evidence in public health decision-making.
Evaluate current practices in forums where translation work is already occurring.
Propose changes to funding approaches, organizational structures, and policies to enhance the use of modeled evidence.
Qualitative Research
The project employed both primary (qualitative) and secondary research methods to assess the barriers and enablers for the use of modeled evidence in public health.
Barriers and enablers for the use of modeled evidence are similar across different contexts.
Effective communication and collaboration between modelers and decision-makers are critical for successfully integrating modeled evidence into policy.
Capacity building in modeling and knowledge translation is essential for improving evidence-based decision-making.
