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Thinkwell

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Dodoma
Jakarta
Hanoi
Amman
Nairobi
Port-au-Prince
Monrovia
Cairo
Lusaka
Maputo
Dar Es Salaam
Antananarivo
Karachi
Dhaka
Manila

Summary

Under the USAID-funded Efficiencies for Clinical HIV Outcomes (ECHO) project, ThinkWell provides the Mozambican government with data, measured findings, and recommendations to make service delivery decisions that help achieve HIV epidemic control. Specifically, we analyze data at the provincial, district, and facility levels to conduct rapid cycle evaluations to support HIV service delivery decisions. In addition, we solve persistent health system bottlenecks and study potential best practices for scale-up. Finally, we ensure that Mozambique uses the latest evidence for rapid scale-up of effective HIV interventions.

Breaking New Ground

ThinkWell supports ECHO to identify and prototype approaches to assist the Mozambican government to institutionalize efficient practices for reaching and maintaining high quality standards for HIV service delivery.

Challenges

Due to reduced funding for HIV epidemic control efforts, there’s a need to identify more efficient solutions to health system challenges at the health facility, district, provincial, and central levels. Mozambique also needs feasible approaches to strengthen the government and local counterparts’ capacity. Finally, there’s a need to institutionalize best practices that will sustain progress towards the UNAIDS 95-95-95 targets.

Approach

ThinkWell’s approach to data for decision making is guided by evidence and based on the use of local data and global best practices. Using a rapid, transparent, cyclical, and collaborative approach to monitoring, evaluation, and learning (MEL), ThinkWell aims to shorten the learning loop and accelerate progress towards achieving ECHO’s goals. ThinkWell is also designing new solutions to program implementation gaps.

Results

To date, ThinkWell has developed tools to conduct a cycle of rapid evaluation. We’ve also created criteria to deploy rapid response units. Finally, we’ve identified innovative approaches to classify health facilities, monitor their evolution, and compare their performance to prioritize and target interventions more efficiently.

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