🟠 Moderate Evidence
Nearly 2.7 million people in Mali cannot access antiretroviral therapy (ART) within a clinically meaningful timeframe, according to a study published in BMJ Global Health. The research, which applied geographic accessibility modelling to identify supply-side barriers to HIV treatment, found that 70% of those without access are blocked primarily by distance, while facility-level constraints account for the remainder.
Key takeaways
- 2.7 million Malians live more than 2 hours’ travel time from ART services, the threshold for timely access
- Geographic distance accounts for approximately 70% of access barriers; facility-level issues such as lack of medical supplies and staff training account for the remainder
- The study demonstrates a scalable methodology for identifying and quantifying supply-side health service barriers in resource-limited settings
Study at a Glance
| Source | BMJ Global Health |
| Study type | Geographic accessibility analysis using least-cost path algorithm |
| Population | Mali residents requiring antiretroviral therapy |
| Country | Mali |
| Method | WHO Health Resources and Services Availability Monitoring System |
ART access barriers in Mali: Distance vs. facility-level constraints
Proportion of 2.7 million people without access, stratified by barrier type
Source: BMJ Global Health study | Georgian Medical Journal News
Geographic distance emerges as dominant barrier to treatment access
The study published in BMJ Global Health analysed geographic accessibility by calculating travel time from population centres to facilities offering ART services using a least-cost path algorithm. The researchers defined timely access as reaching an ART service within 2 hours of travel time. This threshold aligns with clinical guidelines emphasising the importance of rapid treatment initiation in HIV management.
Mali faces substantial health system constraints; the country has one of the world’s highest fertility rates and continues to experience political instability that disrupts health service delivery. For approximately 1.9 million of the 2.7 million people without access, geographic remoteness remains the primary barrier. This finding underscores the spatial dimension of healthcare inequity in resource-limited settings, where population density and infrastructure development are unevenly distributed.
Facility-level barriers account for one-third of access gaps
Among those living within 2 hours of an ART facility, approximately 0.8 million people (30% of the access gap) face facility-specific constraints. The research identified three primary facility-level barriers: ART services not scheduled or planned at the facility, inadequate medical supplies, and insufficient staff training. These supply-side constraints represent modifiable barriers distinct from geographic factors.
The distinction between distance and facility-level barriers has direct policy implications. While addressing geographic access requires infrastructure investment and mobile or decentralised service models, facility-level barriers may be resolved through targeted capacity-building, supply chain strengthening, and service planning. This categorisation enables policymakers to design interventions matched to the specific barrier type.
Scalable methodology for targeting health interventions
The research employed the WHO’s Health Resources and Services Availability Monitoring System (HRSAMS), a framework designed for systematic assessment of health service availability in low-resource contexts. The geographic accessibility model used least-cost path analysis to simulate real-world travel conditions, accounting for terrain, road networks, and transportation modes available to the population.
The authors emphasise that this methodology is reproducible across health services and geographic contexts. By quantifying both the number of people affected and the specific barrier type, the model enables evidence-based resource allocation and targeted intervention design. This approach aligns with health system strengthening initiatives that prioritise supply-side improvements as a complement to demand-side strategies in achieving universal health coverage.
Nearly 70% of Malians without access to ART are blocked by geographic distance, while 30% live within reach of facilities but face supply-side constraints including inadequate staffing, medical supplies, and service planning.
— BMJ Global Health study analysis
What this means
Frequently asked questions
Why is a 2-hour travel threshold clinically relevant for ART access?
Rapid treatment initiation reduces viral load and prevents onward transmission. In HIV care, delays between diagnosis and first dose have been associated with worse clinical outcomes and higher loss-to-follow-up rates. A 2-hour threshold is commonly used by health systems and the WHO to define “effective access” for time-sensitive treatments.
How does this study differ from previous needs assessments in Mali?
Traditional needs assessments often capture only demand-side barriers (e.g., cost, knowledge) or rely on facility surveys. This BMJ Global Health study combines spatial analysis with supply-side monitoring, enabling precise quantification of who is affected, where, and why. This granularity supports targeted intervention design rather than broad, untargeted approaches.
Can this methodology be applied to other countries or health services?
Yes. The authors explicitly describe the approach as scalable and reproducible. The WHO’s HRSAMS framework is in use across multiple low- and middle-income countries. Similar geographic accessibility analyses have been conducted for maternal health, tuberculosis, and malaria services, making it a replicable tool for global health planning.
As Mali and other sub-Saharan African nations work toward universal health coverage targets under the Sustainable Development Goals, systematic identification and quantification of access barriers—both geographic and facility-level—will be essential to guide investment and service redesign. This study provides both a concrete data foundation for Mali’s HIV treatment scale-up and a methodological template for health systems seeking to move beyond broad estimates toward precision targeting of health interventions.
Source: Quantifying the impact of health service delivery barriers on access to healthcare: a case study of antiretroviral therapy in Mali, BMJ Global Health
Was this article helpful?
Disclaimer. This article is health journalism intended for general information and education. It is not medical advice and is not a substitute for professional diagnosis or treatment. Always consult a qualified healthcare provider about your individual circumstances. Full disclaimer →
Related Coverage
Editorial standards. This article was produced under the GMJ News editorial process, with oversight by the GMJ Editorial Board. Our editorial process. Spotted an error? Contact the editorial team.
