USAID Bersama Menuju Eliminasi dan Bebas dari TB (USAID BEBAS-TB)

Project Highlights

Using AI to Amplify Efforts

AI technology enables more accurate TB screening results. USAID BEBAS-TB supported the Malang Health Office in utilizing AI-aided detection to screen 6,514 people—306 were found eligible for TB preventive therapy and 270 have begun treatment.

Screening for Treatment and Prevention

Mobile X-ray units make screening for TB more accessible. At a screening event in North Sumatra, the district health office and local health facility screened over 185 people, surpassing the 150-person goal and identifying 12 cases for follow up.

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Using Data to Continuously Improve Care

Through the work of USAID BEBAS-TB, 94 health facilities in North Sumatra and East Java have been trained in data collection tools to identify gaps in TB treatment. Validating and verifying this data creates a framework for health facilities to prioritize issues and target improvements.

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Gender and TB Treatment

USAID BEBAS-TB convened an online focus group to discuss how target groups seek TB treatment. In Indonesia, specifically encouraging men to seek treatment is seen as an effective approach to reaching larger portions of TB-vulnerable populations.

Overview

Indonesia has the second highest TB burden in the world. USAID Bersama Menuju Eliminasi dan Bebas dari TB (BEBAS-TB) was a five-year flagship project that strove to work collaboratively with national and international stakeholders to support the Government of Indonesia in achieving its goal to eliminate TB by 2030, focused primarily on four provinces with high TB burdens: North Sumatra, West Java, Central Java, and East Java.

MSH and its consortium partners provided strategic leadership, mentorship, and technical support to address gaps in Indonesia's National TB Program and worked toward establishing a resilient, decentralized health care system, built in collaboration with the communities it serves.

The project took an integrated, holistic approach to:

Strengthen TB case prevention, detection, and treatment services
Increase community participation in TB prevention and control activities
Enhance data collection and reporting to allow for evidence-based decision making
Improve resource allocation and supply chain management
Address gaps in existing research to improve TB control