TY - JOUR
T1 - A meta-analysis of technology-based interventions on treatment adherence and treatment success among TBC patients
AU - Huda, Mega Hasanul
AU - Rahman, Muhamad Fauzi
AU - Zalaya, Yusuf
AU - Mukminin, Muhammad Amirul
AU - Purnamasari, Telly
AU - Hendarwan, Harimat
AU - Suudi, Amir
AU - Hasugian, Armedy Ronny
AU - Yuniar, Yuyun
AU - Handayani, Rini Sasanti
AU - Putranto, Rudi Hendro
AU - Yulianto, Aris
AU - Suryatma, Anton
AU - Despitasari, Mieska
AU - Siregar, Riswal Nafi
N1 - Publisher Copyright:
© 2024 Huda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2024/12
Y1 - 2024/12
N2 - 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, I2 = 86.6%; OR: 1.77, 95% CI: 0.95–3.28, I2: 82.3%; OR: 1.61, 95% CI: 0.85–3.06, I2: 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.
AB - 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, I2 = 86.6%; OR: 1.77, 95% CI: 0.95–3.28, I2: 82.3%; OR: 1.61, 95% CI: 0.85–3.06, I2: 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.
UR - http://www.scopus.com/inward/record.url?scp=85210630634&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0312001
DO - 10.1371/journal.pone.0312001
M3 - Article
AN - SCOPUS:85210630634
SN - 1932-6203
VL - 19
JO - PloS one
JF - PloS one
IS - 12
M1 - e0312001
ER -
