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Addressing Failures in Achieving Hypertension Control in Low- and Middle-Income Settings through Simplified Treatment
Jennifer Cohn1, Helen Bygrave2,3, Teri Roberts2
1Resolve to Save Lives, New York, US.
Insights
Simple, accessible, and effective hypertension treatment algorithms can improve cardiovascular disease care in low-resource settings. These SAANE algorithms reduce complexity, pill burden, and costs for patients and health systems.
Area of Science:
- Cardiology
- Public Health
- Health Systems Strengthening
Background:
- Hypertension is a primary risk factor for cardiovascular diseases (CVDs), the leading global cause of mortality.
- Hypertension diagnosis and treatment remain suboptimal in low- and middle-income countries (LMICs).
- Current hypertension management guidelines are often complex, hindering effective implementation and increasing patient pill burden.
Purpose of the Study:
- To evaluate the evidence supporting Simple, Algorithmic, Accessible, Non-toxic, and Effective (SAANE) algorithms for hypertension management.
- To present SAANE algorithms as a feasible strategy for improving hypertension care access and quality.
- To highlight the potential benefits of SAANE algorithms in resource-limited settings.
Main Methods:
- A review of evidence supporting the implementation of SAANE algorithms for hypertension treatment.
- Analysis of the potential impact of SAANE algorithms on healthcare delivery and patient outcomes.
- Examination of factors including task shifting, fixed-dose combinations, market consolidation, and cost reduction.
Main Results:
- SAANE algorithms offer a simplified approach to hypertension management.
- Implementation facilitates task shifting to community health workers and lay cadres.
- These algorithms support fixed-dose combinations, market consolidation, and reduced laboratory needs.
Conclusions:
- SAANE algorithms provide a feasible pathway to improve quality hypertension care in LMICs.
- They reduce complexity for healthcare workers and pill burden for patients.
- Adoption of SAANE algorithms can lower healthcare system costs and out-of-pocket expenses for individuals.
Abstract:
Hypertension is the most important risk factor for cardiovascular diseases (CVDs), which are the leading global cause of death. Hypertension is under-diagnosed and under-treated in most low- and middle-income countries (LMICs). Current algorithms for hypertension treatment are complex for the healthcare worker, limit decentralization, complicate procurement and often translate to a large pill burden for the person with hypertension. We summarize evidence supporting implementation of simple, algorithmic, accessible, non-toxic and effective (SAANE) algorithms to provide a feasible way to access and maintain quality care for hypertension. Implementation of these algorithms will enable task shifting to less specialised health care workers and lay cadres, provision of fixed dose combinations, consolidation of the market while retaining generic competition, simplification of laboratory requirements, and lowering costs for health systems and people who incur out of pocket expenses.
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