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An Automated Culture System for Use in Preclinical Testing of Host-Directed Therapies for Tuberculosis
Published on: August 16, 2021
Community-based interventions to improve tuberculosis treatment outcomes: A meta-analysis
Warinmad Kedthongma1, Sopon Usaprom2, Wuttiphong Phakdeekul1
1Faculty of Public Health, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand.
Digital and community interventions significantly improve tuberculosis treatment completion rates, addressing a critical gap beyond medication availability. These approaches enhance patient adherence by considering social contexts for better health outcomes.
Area of Science:
- Public Health
- Infectious Diseases
- Health Services Research
Background:
- Tuberculosis (TB) remains a major global health challenge despite medical advancements, with treatment completion, not drug availability, being the primary obstacle.
- Biomedical solutions alone are insufficient; patient recovery is heavily influenced by social determinants like adherence and support systems.
- Existing digital and community-led interventions show promise in addressing these gaps, but their combined effectiveness requires synthesis.
Purpose of the Study:
- To systematically synthesize the pooled effectiveness of digital and community-led interventions on tuberculosis treatment completion.
- To provide evidence-based insights for improving global TB control strategies.
Main Methods:
- A comprehensive literature search was conducted across multiple databases (PubMed, Scopus, Web of Science, etc.) for studies published between 2021 and 2025.
- Two independent reviewers assessed study quality using JBI tools, and data were analyzed using a random-effects model in JASP (version 0.19).
- Pooled odds ratios and 95% confidence intervals were computed to determine the overall effect size.
Main Results:
- The analysis included 20 controlled trials with 76,757 participants, identified from over 17,000 records.
- Community-aligned and digital interventions demonstrated a significant improvement in the likelihood of TB treatment completion (pooled OR = 1.11; 95% CI: 1.02-1.20; p = 0.018).
- High heterogeneity was observed between studies (Q = 90.24, p < 0.001), but the positive effect of interventions was consistent across different settings.
Conclusions:
- Tuberculosis treatment success is contingent upon factors beyond medication, including patients' social stability, food security, and adherence capacity.
- Integrating socioeconomic support with medical regimens is crucial for effective TB control and achieving meaningful patient recovery.
- Digital and community-based strategies are vital components for enhancing TB treatment completion and patient outcomes.
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