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Published on: January 12, 2018
Decision-making and health system strengthening: bringing time frames into perspective.
Abelali Belghiti Alaoui1, Vincent De Brouwere2, Bruno Meessen3
1Residence Ichraq, app #10, Allée sud, secteur 13, Riad, Rabat, Morocco.
Health system decision-makers in low- and middle-income countries face complex challenges. Analyzing five key dynamics, including services, programming, and politics, offers a realistic approach to strengthening health systems.
Area of Science:
- Health policy and systems research
- Global health governance
- Health system strengthening
Background:
- Decision-makers in low- and middle-income countries face increasing complexity, including citizen and staff discontent, impacting health plan execution.
- The traditional building-blocks framework has limitations in structuring decision-making for health system strengthening.
Purpose of the Study:
- To propose an analytical framework for understanding and strengthening health systems by incorporating diverse temporalities.
- To evaluate the limitations of existing frameworks and offer a more realistic approach to health system strengthening.
Main Methods:
- Development of a novel analytical framework based on practical experience and literature review.
- The framework integrates five key dynamics: services, programming, political, reform, and capacity-building.
- Analysis of the Moroccan health system to illustrate the framework's application.
Main Results:
- Health system management is influenced by multiple, distinct temporalities.
- The proposed five dynamics are differentiated by their temporalities, actor roles, and activities.
- Recognizing these temporalities enables a more accurate assessment of health system strengthening initiatives.
Conclusions:
- Strengthening health systems requires acknowledging the interplay of various temporalities in decision-making and system functioning.
- The proposed framework provides a more nuanced understanding of health system dynamics beyond traditional models.
- The Moroccan experience demonstrates the potential of this approach for improving health system performance.
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