Tuberculosis preventive therapy (TPT) for people living with HIV (PLHIV) has been recommended by Indonesia’s National TB Program since 2014 but has seen limited implementation. This study describes TB screening and TPT initiation from 2019 to 2022 among eight healthcare facilities supported by the Zero TB Yogyakarta (ZTB) project. ZTB assigned a dedicated nurse to assist with active TB screening among PLHIV and recommended the immediate initiation of TPT as an innovation implemented. Data were obtained from the national HIV program reporting system, routinely reported by ART clinics from 2019 to 2022. We conducted a descriptive analysis, comparing the pre-intervention and intervention periods. During the intervention, there was a significant increase in PLHIV visits to healthcare facilities where TPT eligibility was assessed. At health centers, TB screening coverage for PLHIV decreased toward the end of the baseline period but recovered during the intervention. The number of PLHIV starting TPT also rose during the intervention. While the direct impact of ZTB is difficult to measure, the changes observed indicate progress in integrating TB/HIV services and enhancing TB prevention among PLHIV. Ongoing support, training, and supervision of healthcare facilities are crucial for improving TB screening and TPT provision.

Tuberculosis preventive therapy (TPT) for people living with HIV (PLHIV) has been recommended by Indonesia’s National TB Program since 2014 but has seen limited implementation. This study describes TB screening and TPT initiation from 2019 to 2022 among eight healthcare facilities supported by the Zero TB Yogyakarta (ZTB) project. Data were obtained from the national HIV program reporting system, routinely reported by ART clinics from 2019 to 2022. We conducted a descriptive analysis, comparing the pre-intervention and intervention periods. During the intervention, there was a significant increase in PLHIV visits to healthcare facilities where TPT eligibility was assessed. At health centers, TB screening coverage for PLHIV decreased toward the end of the baseline period but recovered during the intervention. The number of PLHIV starting TPT also rose during the intervention. While the direct impact of ZTB is difficult to measure, the changes observed indicate progress in integrating TB/HIV services and enhancing TB prevention among PLHIV. Ongoing support, training, and supervision of healthcare facilities are crucial for improving TB screening and TPT provision.

In primary healthcare centers lacking advanced imaging, community-based active tuberculosis (TB) case finding often relies on basic symptom screening. This approach often misses cases and leads to the inefficient allocation of rapid molecular testing (RMT). We aimed to develop and internally validate a simple clinical triage scorecard to improve TB detection and guide RMT use in resource-constrained settings. We conducted a retrospective cross-sectional study of 15,137 adults (≥18 years) evaluated within the Zero TB Yogyakarta program (2020-2025). Participants with complete clinical assessments and confirmatory GeneXpert results were included. Using multivariable logistic regression, we identified independent clinical predictors, which were subsequently transformed into an integer-based point scorecard. Model performance was evaluated via discrimination and calibration, utilizing bootstrap resampling (1,000 iterations) for internal validation. Among the 15,137 participants, 251 (1.7%) were GeneXpert-positive. The final multivariable model identified eight independent predictors: age, male sex, body mass index, prolonged cough, hemoptysis, unexplained weight loss, TB contact history, and diabetes mellitus. The model demonstrated strong predictive accuracy, with an optimism-adjusted AUROC of 0.836 and good calibration. When translated to the integer scorecard and compared directly to standard national symptom screening, the scorecard performed significantly better (AUROC 0.81 vs. 0.73; p<0.001). At a high sensitivity cut off score of ≥ 0, the tool achieved 93.63% sensitivity and 41.33% specificity. This point-of-care clinical scorecard provides higher diagnostic accuracy than standard symptom screening algorithms. By offering flexible operational thresholds, it empowers local health programs to dynamically balance the urgency of case detection with available diagnostic capacity, optimizing GeneXpert allocation where advanced radiological imaging is unavailable.