Submitted:
10 June 2025
Posted:
11 June 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methods
2.1. Design
2.2. Study Setting
2.3. Study Population
2.4. Sampling Procedure
2.5. Data Collection Instrument
2.6. ViDOT Mobile Application
2.7. The Clinical Trial Procedure
2.7.1. Pre-Treatment Stage
2.7.2. Treatment Stage
2.7.3. Post-Treatment Stage
2.8. Data Management and Analysis
2.9. Ethical Consideration
3. Results and Discussion
4. Conclusion
Funding
Acknowledgments
Conflicts of interest
References
- Oladimeji O, Adepoju V, Anyiam FE, San JE, Odugbemi BA, Hyera FL, Sibiya MN, Yaya S, Zoakah AI, Lawson L. Treatment outcomes of drug-susceptible Tuberculosis in private health facilities in Lagos, South-West Nigeria. PLoS ONE. 2021;16(1):e0244581. [CrossRef]
- WHO (2024). TB: new and relapse cases. Available online: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/tuberculosis---new-and-relapse-cases (accessed on 4 June 2025).
- WHO (2024). Previously treated cases tested for RR-/MDR-TB (%). Available online: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/previously-treated-cases-tested-for-rr--mdr-tb-%28-%29 (accessed on 4 June 2025).
- Acharya B, Acharya A, Gautam S, et al. Advances in diagnosis of Tuberculosis: an update into molecular diagnosis of Mycobacterium tuberculosis. Molecular biology reports. 2020;47:4065-4075. [CrossRef]
- Atiqah A, Tong SF, Nadirah S. Treatment outcomes of extended versus nonextended intensive phase in pulmonary tuberculosis smear positive patients with delayed sputum smear conversion: A retrospective cohort study at primary care clinics in Kota Kinabalu. Malaysian Family Physician: the Official Journal of the Academy of Family Physicians of Malaysia. 2023;18:2.
- Wardani D, Pramesona BA, Septiana T, Soemarwoto RAS. Risk factors for delayed sputum conversion: A qualitative case study from the person-in-charge of TB program’s perspectives. J Public Health Res. Oct 2023;12(4):22799036231208355. [CrossRef]
- Izudi J, Tamwesigire IK, Bajunirwe F. Sputum smear non-conversion among adult persons with bacteriologically confirmed pulmonary tuberculosis in rural eastern Uganda. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 2020;20:100168. [CrossRef]
- Günther G, Heyckendorf J, Zellweger JP, et al. Defining outcomes of tuberculosis (treatment): from the past to the future. Respiration. 2021;100(9):843-852. [CrossRef]
- Rekha VB, Balasubramanian R, Swaminathan S, et al. Sputum conversion at the end of intensive phase of Category-1 regimen in the treatment of pulmonary tuberculosis patients with diabetes mellitus or HIV infection: An analysis of risk factors. Indian Journal of Medical Research. 2007;126(5):452-458.
- Iqbal Z, Khan MA, Aziz A, Nasir SM. Time for culture conversion and its associated factors in multidrug-resistant tuberculosis patients at a tertiary level hospital in Peshawar, Pakistan. Pakistan Journal of Medical Sciences. 2022;38(4Part-II):1009. [CrossRef]
- Asemahagn MA. Sputum smear conversion and associated factors among smear-positive pulmonary tuberculosis patients in East Gojjam Zone, Northwest Ethiopia: a longitudinal study. BMC pulmonary medicine. 2021;21:1-10. [CrossRef]
- Parwati NM, Bakta IM, Januraga PP, Wirawan IMA. A health belief model-based motivational interviewing for medication adherence and treatment success in pulmonary tuberculosis patients. International Journal of Environmental Research and Public Health. 2021;18(24):13238. [CrossRef]
- Olowoyo KS, Esan DT, Adeyanju BT, Olawade DB, Oyinloye BE, Olowoyo P. Telemedicine as a tool to prevent multi-drug resistant tuberculosis in poor resource settings: Lessons from Nigeria. J Clin Tuberc Other Mycobact Dis. 2024;35:100423. [CrossRef]
- Olowoyo KS, Esan DT, Olowoyo P, Oyinloye BE, Fawole IO, Aderibigbe S, Adigun MO, Olawade DB, Esan TO, Adeyanju BT. Treatment Adherence and Outcomes in Patients with Tuberculosis Treated with Telemedicine: A Scoping Review. Trop Med Infect Dis. 2025;10(3):78. [CrossRef]
- Pradipta IS, Houtsma D, van Boven JF, Alffenaar J-WC, Hak E. Interventions to improve medication adherence in tuberculosis patients: a systematic review of randomized controlled studies. NPJ primary care respiratory medicine. 2020;30(1):21. [CrossRef]
- Sekandi JN, Buregyeya E, Zalwango S, et al. Video directly observed therapy for supporting and monitoring adherence to tuberculosis treatment in Uganda: a pilot cohort study. ERJ Open Research. 2020;6(1). [CrossRef]
- Su Z, Li C, Fu H, Wang L, Wu M, Feng X. Development and prospect of telemedicine. Intelligent Medicine. 2024;4(1):1-9.
- Donahue ML, Eberly MD, Rajnik M. Tele-TB: using telemedicine to increase access to directly observed therapy for latent tuberculosis infection. Military medicine. 2021;186(Supplement_1):25-31. [CrossRef]
- Guo P, Qiao W, Sun Y, Liu F, Wang C. Telemedicine technologies and tuberculosis management: a randomized controlled trial. Telemedicine and e-Health. 2020;26(9):1150-1156. [CrossRef]
- Emorinken A, Ugheoke AJ, Agbadaola OR, et al. Prevalence and clinical profile of tuberculosis patients in a rural teaching hospital in South-South Nigeria: A ten-year retrospective study. Int J Trop Dis Health. 2023;44(8):33-42. [CrossRef]
- Ejemot-Nwadiaro RI, Nja GM, Itam EH, Ezedinachi EN. Socio-demographic and nutritional status correlates in pulmonary tuberculosis patients in Calabar, Nigeria. Asian Journal of Medicine and Health. 2020;18(10):85-98. [CrossRef]
- O. Novozhylova, Andriy Prykhodko, I.V. Bushura (2023). Causes of pulmonary tuberculosis relapses Ukraïnsʹkij pulʹmonologìčnij žurnal, 2, 44-49. [CrossRef]
- Gulrez Shah Azhar (2012). DOTS for TB relapse in India: A systematic review, Lung India, 29(2):p 147-153. [CrossRef]



| Variable | Category | ViDOTs Group | DOTs Group | Total | |||
|---|---|---|---|---|---|---|---|
| FTM | % | FSD | % | F | % | ||
| Case Type | New | 52 | 34.67 | 56 | 37.33 | 108 | 72.00 |
| Old | 23 | 15.33 | 19 | 12.67 | 42 | 28.00 | |
| Gender | Male | 41 | 27.33 | 41 | 27.33 | 82 | 54.67 |
| Female | 34 | 22.67 | 34 | 22.67 | 68 | 45.33 | |
| Age | Below 20years | 0 | 0.00 | 4 | 2.67 | 4 | 2.67 |
| 20 – 30years | 27 | 18.00 | 8 | 5.33 | 35 | 23.33 | |
| 31 – 40years | 33 | 22.00 | 26 | 17.33 | 59 | 39.33 | |
| 41 – 50years | 15 | 10.00 | 22 | 14.67 | 37 | 24.67 | |
| 51 – 60years | 0 | 0.00 | 15 | 10.00 | 15 | 10.00 | |
| Educational Qualification | Never attended school | 4 | 2.67 | 15 | 10.00 | 19 | 12.67 |
| Pry Schl Cert | 0 | 0.00 | 3 | 2.00 | 3 | 2.00 | |
| SSCE | 22 | 14.67 | 11 | 7.33 | 33 | 22.00 | |
| NCE/OND | 16 | 10.67 | 19 | 12.67 | 35 | 23.33 | |
| BSc | 26 | 17.33 | 23 | 15.33 | 49 | 32.67 | |
| Higher degree | 7 | 4.67 | 4 | 2.67 | 11 | 7.33 | |
| Other Health Issues | None | 35 | 23.33 | 42 | 28.00 | 77 | 51.33 |
| HIV | 13 | 8.67 | 18 | 12.00 | 31 | 20.67 | |
| Diabetics | 22 | 14.67 | 7 | 4.67 | 29 | 19.33 | |
| HIV & Diabetics | 5 | 3.33 | 8 | 5.33 | 13 | 8.67 | |
| Habit | None | 36 | 24.00 | 45 | 30.00 | 81 | 54.00 |
| Smoking | 4 | 2.67 | 8 | 5.33 | 12 | 8.00 | |
| Alcohol | 35 | 23.33 | 22 | 14.67 | 57 | 38.00 | |
| Total | 75 | 50.00 | 75 | 50.00 | 150 | 100.00 | |
| Characteristics | Category | 1st n(%) |
2nd n(%) |
3rd n(%) |
4th n(%) |
5th n(%) |
6th n(%) |
Failed n(%) |
χ2 | p |
|---|---|---|---|---|---|---|---|---|---|---|
| Health Issues | None | 13(17.33) | 21(28.00) | 4(5.33) | 3(4.00) | 0(0.00) | 0(0.00) | 0(0.00) | 104.002 | .000 |
| HIV | 0(0.00) | 0(0.00) | 0(0.00) | 3(4.00) | 0(0.00) | 0(0.00) | 3(4.00) | |||
| Diabetics | 0(0.00) | 1(1.33) | 10(13.33) | 8(10.67) | 0(0.00) | 2(2.67) | 1(1.33) | |||
| HIV and Diabetics | 0(0.00) | 0(0.00) | 0(0.00) | 3(4.00) | 2(2.67) | 0(0.00) | 0(0.00) | |||
| Age | Below 20years | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 8.758 | .723 |
| 20 – 30years | 5(6.67) | 9(12.00) | 3(4.00) | 8(10.67) | 1(1.33) | 1(1.33) | 0(0.00) | |||
| 31 – 40years | 6(8.00) | 10(13.33) | 8(10.67) | 5(6.67) | 1(1.33) | 0(0.00) | 3(4.00) | |||
| 41 – 50years | 2(2.67) | 3(4.00) | 4(5.33) | 4(5.33) | 0(0.00) | 1(1.33) | 1(1.33) | |||
| 51 – 60years | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | |||
| Gender | Male | 8(10.67) | 11(14.67) | 9(12.00) | 9(12.00) | 1(1.33) | 2(2.67) | 1(1.33) | 3.730 | .713 |
| Female | 5(6.67) | 11(14.67) | 6(8.00) | 8(10.67) | 1(1.33) | 0(0.00) | 3(4.00) | |||
| Habit | None | 7(9.33) | 14(18.67) | 6(8.00) | 8(10.67) | 0(0.00) | 1(1.33) | 0(0.00) | 19.648 | .074 |
| Smoking | 1(1.33) | 2(2.67) | 0(0.00) | 0(0.00) | 1(1.33) | 0(0.00) | 0(0.00) | |||
| Alcohol | 5(6.67) | 6(8.00) | 9(12.00) | 9(12.00) | 1(1.33) | 1(1.33) | 4(5.33) | |||
| Treatment Adherence | Completed | 13(17.33) | 22(29.33) | 15(20.00) | 17(22.67) | 2(2.67) | 2(2.67) | 0(0.00) | 75.000 | .000 |
| Defaulted | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 4(5.33) | |||
| Total | Cumulative | 13(17.33) |
35(46.67) (29.34+17.33) |
50(66.67) (20.00+46.7) |
67(89.33) (22.66+66.67) |
69(92.00) (2.67+89.33) |
71(94.67) (2.67+92.00) |
75(100.00) (5.33+94.67) |
| Characteristics | Category | 1st n(%) |
2nd n(%) |
3rd n(%) |
4th n(%) |
5th n(%) |
6th n(%) |
Failed n(%) |
χ2 | p |
|---|---|---|---|---|---|---|---|---|---|---|
| Health Issues | None | 3(4.00) | 15(20.00) | 7(9.33) | 1(1.33) | 0(0.00) | 0(0.00) | 26(34.67) | 36.190 | .007 |
| HIV | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 2(2.67) | 6(8.00) | |||
| Diabetics | 0(0.00) | 1(1.33) | 1(1.33) | 0(0.00) | 0(0.00) | 0(0.00) | 5(6.67) | |||
| HIV and Diabetics | 0(0.00) | 0(0.00) | 0(0.00) | 1(1.33) | 1(1.33) | 2(2.67) | 4(5.33) | |||
| Age | Below 20years | 0(0.00) | 3(4.00) | 0(0.00) | 0(0.00) | 0(0.00) | 0(0.00) | 1(1.33) | 28.872 | .225 |
| 20 – 30years | 2(2.67) | 0(0.00) | 2(2.67) | 0(0.00) | 0(0.00) | 0(0.00) | 4(5.33) | |||
| 31 – 40years | 1(1.33) | 7(9.33) | 2(2.67) | 1(1.33) | 1(1.33) | 2(2.67) | 12(16.00) | |||
| 41 – 50years | 0(0.00) | 5(6.67) | 3(4.00) | 1(1.33) | 0(0.00) | 1(1.33) | 12(16.00) | |||
| 51 – 60years | 0(0.00) | 1(1.33) | 1(1.33) | 0(0.00) | 0(0.00) | 1(1.33) | 12(16.00) | |||
| Gender | Male | 1(1.33) | 10(13.33) | 4(5.33) | 2(2.67) | 0(0.00) | 3(4.00) | 21(28.00) | 4.746 | .577 |
| Female | 2(2.67) | 6(8.00) | 4(5.33) | 0(0.00) | 1(1.33) | 1(1.33) | 20(26.67) | |||
| Habit | None | 1(1.33) | 11(14.67) | 3(4.00) | 1(1.33) | 1(1.33) | 2(2.67) | 26(34.67) | 16.864 | .155 |
| Smoking | 2(2.67) | 0(0.00) | 2(2.67) | 0(0.00) | 0(0.00) | 0(0.00) | 4(5.33) | |||
| Alcohol | 0(0.00) | 5(6.67) | 3(4.00) | 1(1.33) | 0(0.00) | 2(2.67) | 11(14.67) | |||
| Treatment Adherence | Completed | 3(4.00) | 9(12.00) | 3(4.00) | 1(1.33) | 1(1.33) | 0(0.00) | 0(0.00) | 40.899 | .000 |
| Defaulted | 0(0.00) | 6(8.00) | 5(6.67) | 1(1.33) | 0(0.00) | 4(5.33) | 40(53.33) | |||
| Cumulative | 3(4.00) |
19(25.33) (21.33+4.00) |
27(36.00) (10.67+25.33) |
29(38.67) (2.67+36.00) |
30(40.00) (1.33+38.67) |
34(45.33) (5.33+40.00) |
75(100.00) (54.67+45.33) |
|||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).