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Problematic issues in developing public health policy based on data usage
1BOGOMOLETS NATIONAL MEDICAL UNIVERSITY, KYIV, UKRAINE; STATE INSTITUTION OF SCIENCE «CENTER OF INNOVATIVE HEALTHCARE TECHNOLOGIES» STATE ADMINISTRATIVE DEPARTMENT, KYIV, UKRAINE.
Polski Merkuriusz Lekarski : Organ Polskiego Towarzystwa Lekarskiego
|February 14, 2025
Summary
Professionals at disease control centers need better data for public health policy. Enhancing data collection and analysis skills is crucial for effective policy development and improving population health outcomes.
Area of Science:
- Public Health
- Health Policy
- Data Science in Public Health
Background:
- Effective public health policy relies on robust data.
- Disease control and prevention centers are key in translating data into policy.
- Understanding data utilization challenges is vital for policy improvement.
Purpose of the Study:
- To explore opportunities, approaches, challenges, and needs.
- Focus on professionals using data for public health policy development.
- Identify areas for enhancing data-driven policy.
Main Methods:
- Sociological surveys of public health professionals.
- Analysis of scientific publications and regulatory documents.
- Utilized bibliosemantic, sociological, and content analysis methods.
Main Results:
- Identified data gaps in social, mental, and occupational health.
- Professionals face challenges in data acquisition and analysis.
- High demand for professional development in data usage for policy.
Conclusions:
- Addressing data gaps is essential for evidence-based policy.
- Professional development is critical for enhancing data utilization.
- Consideration of identified needs and priority measures is recommended.
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