Acceptability of a Digital Adherence Tool Among Patients With Tuberculosis and Tuberculosis Care Providers in Kilimanjaro Region, Tanzania: Mixed Methods Study.

Autor:	Mtenga AE; mHealth Department, Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania.; Department of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, United Republic of Tanzania., Maro RA; mHealth Department, Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania., Dillip A; Department of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, United Republic of Tanzania.; Department of Health system, Apotheker Health Access Initiatives, Tanzania, Dar es salaam, United Republic of Tanzania., Msoka P; mHealth Department, Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania., Emmanuel N; mHealth Department, Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania., Ngowi K; mHealth Department, Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania., Sumari-de Boer M; mHealth Department, Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania.
Jazyk:	angličtina
Zdroj:	Online journal of public health informatics [Online J Public Health Inform] 2024 Jun 26; Vol. 16, pp. e51662. Date of Electronic Publication: 2024 Jun 26.
DOI:	10.2196/51662
Abstrakt:	Background: The World Health Organization has recommended digital adherence tools (DATs) as a promising intervention to improve antituberculosis drug adherence. However, the acceptability of DATs in resource-limited settings is not adequately studied. Objective: We investigated the acceptability of a DAT among patients with tuberculosis (TB) and TB care providers in Kilimanjaro, Tanzania. Methods: We conducted a convergent parallel mixed methods study among patients with TB and TB care providers participating in our 2-arm cluster randomized trial (REMIND-TB). The trial aimed to investigate whether the evriMED pillbox with reminder cues and adherence feedback effectively improves adherence to anti-TB treatment among patients with TB in Kilimanjaro, Tanzania. We conducted exit and in-depth interviews among patients as well as in-depth interviews among TB care providers in the intervention arm. We conducted a descriptive analysis of the quantitative data from exit interviews. Translated transcripts and memos were organized using NVivo software. We employed inductive and deductive thematic framework analysis, guided by Sekhon's theoretical framework of acceptability. Results: Out of the 245 patients who completed treatment, 100 (40.8%) were interviewed during exit interviews, and 18 patients and 15 TB care providers were interviewed in-depth. Our findings showed that the DAT was highly accepted: 83% (83/100) expressed satisfaction, 98% (98/100) reported positive experiences with DAT use, 78% (78/100) understood how the intervention works, and 92% (92/100) successfully used the pillbox. Good perceived effectiveness was reported by 84% (84/100) of the participants who noticed improved adherence, and many preferred continuing receiving reminders through SMS text messages, indicating high levels of self-efficacy. Ethical concerns were minimal, as 85 (85%) participants did not worry about remote monitoring. However, some participants felt burdened using DATs; 9 (9%) faced difficulties keeping the device at home, 12 (12%) were not pleased with receiving daily reminder SMS text messages, and 30 (30%) reported challenges related to mobile network connectivity issues. TB care providers accepted the intervention due to its perceived impact on treatment outcomes and behavior change in adherence counseling, and they demonstrated high level of intervention coherence. Conclusions: DATs are highly acceptable in Tanzania. However, some barriers such as TB-related stigma and mobile network connectivity issues may limit acceptance. International Registered Report Identifier (irrid): RR2-10.1186/s13063-019-3483-4. (©Alan Elias Mtenga, Rehema Anenmose Maro, Angel Dillip, Perry Msoka, Naomi Emmanuel, Kennedy Ngowi, Marion Sumari-de Boer. Originally published in the Online Journal of Public Health Informatics (https://ojphi.jmir.org/), 26.06.2024.)
Databáze:	MEDLINE
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