A meta-analysis of technology-based interventions on treatment adherence and treatment success among TBC patients
Open accessAbstract
Various technology-based interventions have been designed to improve medication adherence and treatment success. However, research on the most effective mode to address this issue is still limited. Our study evaluated the effectiveness of technology-based interventions in improving treatment adherence, completion, and treatment success among tuberculosis (TBC) patients. We conducted a meta-analysis of randomized controlled trials by searching articles from six databases including PubMed, Science Direct, Cochrane, Jstor, Embase, and Scopus from 2018 to April 2023. Two independent reviewers assessed the study quality using the Cochrane Risk of Bias 2.0 tool. We analysed the data using a random-effects model. We also conducted publication bias and sensitivity analysis. In total, 13 studies were identified and 4,794 participants were included in the meta-analysis. The results indicated that technology-based interventions were effective in improving treatment adherence, completion, and success (Odds Ratio (OR): 2.57, 95% Confident Interval (CI): 1.01–6.50, I 2 = 86.6%; OR: 1.77, 95% CI: 0.95–3.28, I 2: 82.3%; OR: 1.61, 95% CI: 0.85–3.06, I 2: 84%, respectively). We examined the possibility of publication bias in the published studies included in this systematic review. However, no evidence of publication bias was found. From the sensitivity analysis by removing one study randomly, we found that our results are robust. Based on the results, we can conclude that technology-based interventions like MERM, text-based messages, video conferencing, and VOT are effective in increasing treatment adherence and completion in tuberculosis management. Therefore, technology shows immense potential in enhancing patient outcomes.
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In the context of digital mental health interventions, users with higher SE are more likely to approach technology-based treatment with confidence and persistence.
“In the context of digital mental health interventions, users with higher SE are more likely to approach technology-based treatment with confidence and persistence [56].”
From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as [56]
The Results and Conclusions address technology-based interventions for tuberculosis treatment, not digital mental health interventions. The Discussion says intrinsically motivated people may persist in tasks, but it does not address whether higher self-efficacy (SE) predicts confidence or persistence with technology-based treatment. Searches for self-efficacy, confidence, and mental health found no passage establishing the claim. (LLM, conf=0.76)
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“In the context of digital mental health interventions, users with higher SE are more likely to approach technology-based treatment with confidence and persistence [56].”
CHANGES IN EPIDEMIOLOGICAL INDICATORS DEPENDING ON THE ORGANIZATION OF TUBERCULOSIS TREATMENT
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- Authors
- Huda, M. H., Rahman, M. F., Zalaya, Y., Mukminin, M. A., Purnamasari, T., Hendarwan, H., Su’udi, A., Hasugian, A. R., Yuniar, Y., Handayani, R. S., Putranto, R. H., Yulianto, A., Suryatma, A., Despitasari, M., & Siregar, R. N.
- Affiliations
- University of Indonesia (ID)
- Taipei Medical University (TW)
- National Research and Innovation Agency (ID)
- Corresponding author
- Huda, Mega Hasanul
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2024-12-02
- Volume
- 19
- Issue
- 12
- Pages
- e0312001
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC11611106
- OpenAlex
- W4404918251
- Cited by
- 8
- References
- 43
- Citations by year
- 2026: 1 · 2025: 7
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Badan Riset dan Inovasi Nasional
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Keywords
- tuberculosis, technology-based interventions, medication adherence, treatment completion, treatment success, mobile health, text messaging, videoconferencing, digital health
- MeSH terms
- Antitubercular Agents, Humans, Tuberculosis, Randomized Controlled Trials as Topic, Treatment Outcome, Telemedicine, Medication Adherence, Text Messaging
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