Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial
BackgroundDirectly observed therapy (DOT) is the standard method for monitoring adherence to tuberculosis (TB) treatment. However, implementing DOT poses challenges for both patients and providers due to limited financial and human resources. Increasing evidence suggests that...
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JMIR Publications
2025-01-01
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| Series: | JMIR mHealth and uHealth |
| Online Access: | https://mhealth.jmir.org/2025/1/e57991 |
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| author | Juliet Nabbuye Sekandi Esther Buregyeya Sarah Zalwango Damalie Nakkonde Patrick Kaggwa Trang Ho Thu Quach David Asiimwe Lynn Atuyambe Kevin Dobbin |
| author_facet | Juliet Nabbuye Sekandi Esther Buregyeya Sarah Zalwango Damalie Nakkonde Patrick Kaggwa Trang Ho Thu Quach David Asiimwe Lynn Atuyambe Kevin Dobbin |
| author_sort | Juliet Nabbuye Sekandi |
| collection | DOAJ |
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BackgroundDirectly observed therapy (DOT) is the standard method for monitoring adherence to tuberculosis (TB) treatment. However, implementing DOT poses challenges for both patients and providers due to limited financial and human resources. Increasing evidence suggests that emerging digital adherence technologies, such as video directly observed therapy (VDOT), can serve as viable alternatives.
ObjectiveThis study aims to evaluate the effectiveness of VDOT compared with usual care directly observed therapy (UCDOT).
MethodsBetween July 2020 and October 2021, we conducted a 2-arm, parallel-group, open-label randomized trial with a 1:1 assignment to receive either the VDOT intervention (n=72) or UCDOT (n=72) for treatment adherence monitoring at public health clinics in Kampala, Uganda. Each group was further stratified to ensure equal numbers of males and females. Eligible patients were aged 18-65 years, had a confirmed diagnosis of TB, and were undergoing daily treatment. The VDOT group was provided with a smartphone equipped with an app, while the UCDOT group followed the routine monitoring practices outlined by the Uganda National TB Program. We tested the hypothesis that VDOT was more effective than UCDOT for monitoring medication adherence. The primary outcome was adherence, defined as having ≥80% of the expected doses observed during the 6-month treatment period. An intention-to-treat analysis was conducted, and multivariable logistic regression was used to estimate the effect of the intervention on adherence monitoring. Adjusted relative risk ratios and their corresponding 95% CIs are presented. Secondary outcomes included treatment completion, loss to follow-up, death, and reasons for missed videos in the intervention group.
ResultsThe intention-to-treat analysis included 142 participants, with 2 excluded due to discontinuation of medication within the first week after enrollment. The median age of participants was 34 (IQR 26-45) years. The median fraction of expected doses observed (FEDO) was significantly higher in the VDOT group compared with the UCDOT group (100, IQR 80-100 vs 30, IQR 10-60, respectively; P<.001). When using a FEDO cutoff of ≥80% to define optimal adherence, 63 of 142 (44%) patients met the threshold, with a significant difference between the VDOT and UCDOT groups (56/71, 79% vs 7/71, 10%, P<.001). After adjusting for confounders, VDOT users were significantly more likely to achieve ≥80% of their expected doses observed compared with UCDOT users (adjusted risk ratio 8.4, 95% CI 4.16-17.0). The most common reasons for failing to submit videos of medication intake were an uncharged phone battery, forgetting to record videos during medication intake, and losing the smartphone.
ConclusionsEnhanced VDOT was more effective than UCDOT in increasing adherence monitoring among patients with TB in Uganda. This evidence highlights the potential of digital technologies to improve treatment adherence monitoring and support in high TB burden settings with limited human resources.
Trial RegistrationClinicalTrials.gov NCT04134689; http://clinicaltrials.gov/ct2/show/NCT04134689 |
| format | Article |
| id | doaj-art-2db7d5b7e5fe4bd6bc9ce035b06515f6 |
| institution | Kabale University |
| issn | 2291-5222 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | JMIR Publications |
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| series | JMIR mHealth and uHealth |
| spelling | doaj-art-2db7d5b7e5fe4bd6bc9ce035b06515f62025-01-16T21:30:37ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222025-01-0113e5799110.2196/57991Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled TrialJuliet Nabbuye Sekandihttps://orcid.org/0000-0003-2430-1396Esther Buregyeyahttps://orcid.org/0000-0002-4410-8027Sarah Zalwangohttps://orcid.org/0000-0002-9539-6110Damalie Nakkondehttps://orcid.org/0000-0001-7270-6991Patrick Kaggwahttps://orcid.org/0000-0003-1785-307XTrang Ho Thu Quachhttps://orcid.org/0000-0002-0398-9761David Asiimwehttps://orcid.org/0000-0003-3812-5557Lynn Atuyambehttps://orcid.org/0000-0001-5886-5080Kevin Dobbinhttps://orcid.org/0000-0001-7264-7055 BackgroundDirectly observed therapy (DOT) is the standard method for monitoring adherence to tuberculosis (TB) treatment. However, implementing DOT poses challenges for both patients and providers due to limited financial and human resources. Increasing evidence suggests that emerging digital adherence technologies, such as video directly observed therapy (VDOT), can serve as viable alternatives. ObjectiveThis study aims to evaluate the effectiveness of VDOT compared with usual care directly observed therapy (UCDOT). MethodsBetween July 2020 and October 2021, we conducted a 2-arm, parallel-group, open-label randomized trial with a 1:1 assignment to receive either the VDOT intervention (n=72) or UCDOT (n=72) for treatment adherence monitoring at public health clinics in Kampala, Uganda. Each group was further stratified to ensure equal numbers of males and females. Eligible patients were aged 18-65 years, had a confirmed diagnosis of TB, and were undergoing daily treatment. The VDOT group was provided with a smartphone equipped with an app, while the UCDOT group followed the routine monitoring practices outlined by the Uganda National TB Program. We tested the hypothesis that VDOT was more effective than UCDOT for monitoring medication adherence. The primary outcome was adherence, defined as having ≥80% of the expected doses observed during the 6-month treatment period. An intention-to-treat analysis was conducted, and multivariable logistic regression was used to estimate the effect of the intervention on adherence monitoring. Adjusted relative risk ratios and their corresponding 95% CIs are presented. Secondary outcomes included treatment completion, loss to follow-up, death, and reasons for missed videos in the intervention group. ResultsThe intention-to-treat analysis included 142 participants, with 2 excluded due to discontinuation of medication within the first week after enrollment. The median age of participants was 34 (IQR 26-45) years. The median fraction of expected doses observed (FEDO) was significantly higher in the VDOT group compared with the UCDOT group (100, IQR 80-100 vs 30, IQR 10-60, respectively; P<.001). When using a FEDO cutoff of ≥80% to define optimal adherence, 63 of 142 (44%) patients met the threshold, with a significant difference between the VDOT and UCDOT groups (56/71, 79% vs 7/71, 10%, P<.001). After adjusting for confounders, VDOT users were significantly more likely to achieve ≥80% of their expected doses observed compared with UCDOT users (adjusted risk ratio 8.4, 95% CI 4.16-17.0). The most common reasons for failing to submit videos of medication intake were an uncharged phone battery, forgetting to record videos during medication intake, and losing the smartphone. ConclusionsEnhanced VDOT was more effective than UCDOT in increasing adherence monitoring among patients with TB in Uganda. This evidence highlights the potential of digital technologies to improve treatment adherence monitoring and support in high TB burden settings with limited human resources. Trial RegistrationClinicalTrials.gov NCT04134689; http://clinicaltrials.gov/ct2/show/NCT04134689https://mhealth.jmir.org/2025/1/e57991 |
| spellingShingle | Juliet Nabbuye Sekandi Esther Buregyeya Sarah Zalwango Damalie Nakkonde Patrick Kaggwa Trang Ho Thu Quach David Asiimwe Lynn Atuyambe Kevin Dobbin Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial JMIR mHealth and uHealth |
| title | Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial |
| title_full | Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial |
| title_fullStr | Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial |
| title_full_unstemmed | Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial |
| title_short | Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled Trial |
| title_sort | effectiveness of a mobile health intervention dot selfie in increasing treatment adherence monitoring and support for patients with tuberculosis in uganda randomized controlled trial |
| url | https://mhealth.jmir.org/2025/1/e57991 |
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