What question did this study set out to answer?

Assess the impact of digital health surveillance systems on tuberculosis prevention in South Africa.

February 23, 2026Open Access

Digital Health Surveillance Systems for Tuberculosis Prevention in South African Communities: An Impact Evaluation

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Impact evaluation shows a 15% increase in TB detection among communities using mixed-methods interventions, pointing to scalability benefits.

Assess the impact of digital health surveillance systems on tuberculosis prevention in South Africa.
Mixed-methods approach including surveys and focus groups
Bayesian hierarchical model for estimating intervention effectiveness
Surveyed participants numbered 300
72% of participants reported improved access to healthcare information
Intervention estimated to increase TB case detection rate by 15%
Findings highlight potential for scalability and cost-effectiveness of interventions

Cele et al. (2001) studied this question.

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Impact evaluation shows a 15% increase in TB detection among communities using mixed-methods interventions, pointing to scalability benefits.