Quality Improvement Initiatives in Low- and Middle-Income Countries: Challenges, Strategies, and Global Health System Resilience
Overview
This paper examines quality improvement initiatives across low- and middle-income countries and the United States, analyzing how context-specific, data-driven approaches can address healthcare delivery challenges. It argues that QI frameworks are adaptable globally and demonstrates this through examples of HIV testing integration in tuberculosis services, while also reviewing recent U.S. policy shifts toward preventive care and health equity.
What this literature review covers
- Quality improvement challenges and opportunities in LMICs including resource limitations and infrastructure disparities
- Adaptive QI strategies and successful models demonstrating iterative feedback loops and staff training effectiveness
- U.S. quality improvement policy initiatives including MAHA strategy and CMS Medicare Advantage reforms
Preview
Quality Improvement
Quality improvement initiatives in low- and middle-income countries present both formidable challenges and promising opportunities. Resource limitations, inconsistent infrastructure, and varying health outcomes hinder comprehensive QI efforts, particularly in integrating services like HIV counseling within tuberculosis programs. These countries often grapple with high variability in care delivery due to workforce shortages and supply chain disruptions, which exacerbate disparities in patient outcomes (Marquez, 2020). However, the chapter highlights adaptive strategies, such as localized quality teams that scale interventions effectively, demonstrating that context-specific approaches can yield measurable improvements in service uptake and health metrics.
Despite these obstacles, successful QI models in LMICs underscore the value of collaborative, data-driven methods tailored to local needs. For instance, the scale-up of HIV testing protocols in tuberculosis services illustrates how iterative feedback loops and staff training can enhance detection rates and linkage to care, even in under-resourced settings. Such examples reveal that QI is not merely a Western import but a flexible framework adaptable to diverse epidemiological profiles (Marquez, 2020). By prioritizing measurable indicators and stakeholder engagement, these nations can bridge gaps in preventive care and chronic disease management, fostering sustainable health system resilience.
In the United States, the new administration’s MAHA strategy signals a proactive shift toward QI by emphasizing preventive measures and incentive realignment. This approach targets chronic disease roots through enhanced research on nutrition, environmental factors, and prescribing practices, aiming to reduce overmedicalization and improve population health outcomes (White House, 2025).