ArticleBMC infectious diseases2026
Implementation of digital tuberculosis information systems: perspectives from 10 high TB burden countries.
Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) remains a major global health crisis, with 10.8 million people diagnosed annually and 2.7 million cases going undetected in 2023. While TB digital health information systems offer promising solutions for detection and management in low- and middle-income countries, implementation effectiveness varies significantly across health system contexts. However, no studies have systematically examined implementation experiences across multiple high-burden countries using implementation science frameworks, leaving National TB Program (NTP) managers without evidence-based guidance for context-appropriate system selection and deployment strategies. We conducted semi-structured interviews with 15 TB program partners across 10 high TB burden countries to evaluate digital health system implementation in national TB programs. Semi-structured interviews were used. The data was analyzed using the Consolidated Framework for Implementation Research (CFIR). Systems were assessed for advantages, disadvantages, and implementation challenges, with findings organized across all five CFIR domains to identify policy-relevant implementation success factors. Across the countries, 29 distinct TB information systems were documented with varying implementation success. Key advantages included real-time data availability, patient-level tracking, and care cascade monitoring. Primary disadvantages included internet dependency, limited interoperability, and parallel paper-based requirements. Implementation success was determined by five policy-relevant factors: innovation adaptability, external policy drivers, organizational readiness (health system infrastructure availability), individual champions (tech-savvy staff), and implementation processes. For health policymakers and NTP managers, successful digital TB system implementation requires coordination across key implementation areas rather than technological sophistication alone. Countries should establish collaborative governance frameworks, prioritize contextual adaptation with offline capabilities, cultivate technical champions, and adopt user-centered design approaches. The study provides a practical framework for NTP managers to assess implementation readiness and develop context-appropriate digital health strategies that support health systems strengthening in low- and middle-income countries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.