Efektifitas Telemedicine Pada Pengobatan Tuberculosis Pada Negara Berpenghasilan Menengah ke Bawah: Systematic Review
Abstract
Tuberculosis (TB) is one of the major health issues worldwide, with a significant number of cases and deaths in countries with high TB prevalence. Telemedicine is being used to improve diagnosis, treatment, and public health. We aimed to explore the effectiveness of telemedicine in TB treatment in Low- and Middle-Income Countries (LMIC). The study used a systematic literature review, using relevant keywords and inclusion criteria, and searched papers written in English between 2014 and 2023 from PubMed, Cochrane, and Embase databases. For inclusion, titles and abstracts were screened using PRISMA. From 849 studies, we found 13 studies fit the inclusion criteria. Telemedicine gives varying results on treatment success, patient compliance, and prevention of loss to follow-up. Mostly, the results are better but insignificant. Telemedicine facilitates the detection of TB cases, improves knowledge of TB, and improves patient-health worker relationships. In conclusion, telemedicine may be a promising approach to improving the effectiveness of TB treatment despite intervention effects being found to vary between one and each study. Advanced research is needed to evaluate the more optimum and wider implementation of telemedicine.
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WHO. Global Tuberculosis Report 2022 [Internet]. 2022 [cited 2023 Oct 3]. Available from: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2022
Margineanu I, Louka C, Akkerman O, Stienstra Y, Alffenaar JW. eHealth in TB clinical management. International Journal of Tuberculosis and Lung Disease. 2022 Dec 1;26(12):1151–61.
WHO. Consolidated telemedicine implementation guide [Internet]. 2022 [cited 2023 Oct 3]. Available from: https://www.who.int/publications/i/item/9789240059184
Balestra M. Telehealth and Legal Implications for Nurse Practitioners. The Journal for Nurse Practitioners [Internet]. 2018 Jan;14(1):33–9. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1555415517308085
Mair F. Systematic review of studies of patient satisfaction with telemedicine. BMJ. 2000 Jun 3;320(7248):1517–20.
WHO. WHO guideline: recommendations on digital interventions for health system strengthening [Internet]. 2019 [cited 2023 Oct 3]. Available from: https://www.who.int/publications/i/item/9789241550505
Guseva V, Testov V, Parolina L, Otpushchennikova O, Lizinfeld I, Nazarova L, et al. USING TELEMEDICINE TO INCREASE ACCESS TO TREATMENT FOR TUBERCULOSIS PATIENTS. International Journal of Infectious Diseases. 2023 May;130:S123.
Donahue ML, Eberly MD, Rajnik M. Tele-TB: Using TeleMedicine to Increase Access to Directly Observed Therapy for Latent Tuberculosis Infection. Mil Med. 2021 Jan 25;186(Supplement_1):25–31.
Guo P, Qiao W, Sun Y, Liu F, Wang C. Telemedicine Technologies and Tuberculosis Management: A Randomized Controlled Trial. Telemedicine and e-Health. 2020 Sep 1;26(9):1150–6.
Boutilier JJ, Yoeli E, Rathauser J, Owiti P, Subbaraman R, Jónasson JO. Can digital adherence technologies reduce inequity in tuberculosis treatment success? Evidence from a randomised controlled trial. BMJ Glob Health. 2022 Dec 1;7(12).
Cattamanchi A, Crowder R, Kityamuwesi A, Kiwanuka N, Lamunu M, Namale C, et al. Digital adherence technology for tuberculosis treatment supervision: A stepped-wedge cluster-randomized trial in Uganda. PLoS Med. 2021 May 1;18(5).
Gashu KD, Gelaye KA, Lester R, Tilahun B. Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in northwest ethiopia: A randomised controlled trial. BMJ Health Care Inform. 2021 Jun 25;28(1).
Manyazewal T, Woldeamanuel Y, Holland DP, Fekadu A, Marconi VC. Effectiveness of a digital medication event reminder and monitor device for patients with tuberculosis (SELFTB): a multicenter randomized controlled trial. BMC Med. 2022 Dec 1;20(1).
Mohammed S, Glennerster R, Khan AJ. Impact of a daily SMS medication reminder system on tuberculosis treatment outcomes: A randomized controlled trial. PLoS One. 2016 Nov 1;11(11).
Chen AZ, Kumar R, Baria RK, Shridhar PK, Subbaraman R, Thies W. Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study. BMC Infect Dis. 2023 Dec 1;23(1).
Park S, Moon N, Oh B, Park M, Kang K, Sentissi I, et al. Improving treatment adherence with integrated patient management for TB patients in Morocco. Int J Environ Res Public Health. 2021 Oct 1;18(19).
Ali AOA, Prins MH. Mobile health to improve adherence to tuberculosis treatment in khartoum state, sudan. J Public Health Afr. 2019;10(2).
Thekkur P, Kumar ANV, Chinnakali P, Selvaraju S, Bairy R, Singh AR, et al. Outcomes and implementation challenges of using daily treatment regimens with an innovative adherence support tool among HIV-infected tuberculosis patients in Karnataka, India: a mixed-methods study. Glob Health Action. 2019 Jan 1;12(1).
Bediang G, Stoll B, Elia N, Abena JL, Geissbuhler A. SMS reminders to improve adherence and cure of tuberculosis patients in Cameroon (TB-SMS Cameroon): A randomised controlled trial. BMC Public Health. 2018 May 2;18(1).
Hermans SM, Elbireer S, Tibakabikoba H, Hoefman BJ, Manabe YC. Text messaging to decrease tuberculosis treatment attrition in TB-HIV coinfection in Uganda. Patient Prefer Adherence. 2017 Aug 31;11:1479–87.
Kibu OD, Siysi VV, Albert Legrand SE, Asangbeng Tanue E, Nsagha DS. Treatment Adherence among HIV and TB Patients Using Single and Double Way Mobile Phone Text Messages: A Randomized Controlled Trial. J Trop Med. 2022;2022.
Szkwarko D, Amisi JA, Peterson D, Burudi S, Angala P, Carter EJ. Using a mobile application to improve pediatric presumptive TB identification in western Kenya. International Journal of Tuberculosis and Lung Disease. 2021 Jun 1;25(6):468–74.
Guzman K, Crowder R, Leddy A, Maraba N, Jennings L, Ahmed S, et al. Acceptability and feasibility of digital adherence technologies for drug-susceptible tuberculosis treatment supervision: A meta-analysis of implementation feedback. PLOS Digital Health. 2023 Aug 15;2(8):e0000322.
Kiwanuka N, Kityamuwesi A, Crowder R, Guzman K, Berger CA, Lamunu M, et al. Implementation, feasibility, and acceptability of 99DOTS-based supervision of treatment for drug-susceptible TB in Uganda. PLOS Digital Health. 2023 Jun 30;2(6):e0000138.
Whittaker R, Mcrobbie H, Bullen C, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Vol. 2016, Cochrane Database of Systematic Reviews. John Wiley and Sons Ltd; 2016.
Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. 2015 Feb 24;17(2):e52.
Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health. 2014 Feb 21;14(1).
DOI: http://dx.doi.org/10.35329/jkesmas.v9i2.4823
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