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Digital health policy decoded: Mapping national strategies using Donabedian's model
Tahereh Saheb1, Tayebeh Saheb2
1Menlo College, 1000 El Camino Real, Atherton, CA 94027, USA.
Health Policy (Amsterdam, Netherlands)
|July 25, 2024
Summary
National digital health strategies are analyzed using a mixed-methods approach. Findings map policy themes to quality of care, informing future digital health governance and regulations.
Area of Science:
- Digital Health Policy
- Healthcare Quality Assessment
- Public Health Governance
Background:
- National strategies are crucial for directing digital health initiatives.
- Governments are increasingly responsible for digital health policy development.
- Understanding the components of digital health strategies is vital for effective implementation.
Purpose of the Study:
- To comprehensively examine national digital health strategies.
- To apply Donabedian's structure-process-outcome model to digital health policy analysis.
- To identify prevalent themes and their interrelationships within digital health strategies.
Main Methods:
- A novel mixed-methods approach was employed.
- Integration of topic modeling, co-occurrence analysis, and qualitative content analysis.
- Analysis of 22 national digital health strategies using Donabedian's framework.
Main Results:
- 14 prevalent topics were identified and categorized into structure, process, and outcome dimensions.
- Structure topics include workforce training, governance, infrastructure, partnerships, and regulations.
- Process topics encompass AI, decision support, health records, surveillance, and interoperability; outcomes relate to health improvements, privacy, efficiency, coverage, and SDGs.
Conclusions:
- The study provides a unique mapping of digital health policy themes onto a quality of care model.
- It reveals underaddressed policy areas and highlights interconnections between strategy components.
- Findings inform future digital health strategies, research, and governmental policy considerations.
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