UNDERSTANDING COST PRIORITIES IN DOTS IMPLEMENTATION FOR TUBERCULOSIS: A CONSENSUS FROM PUBLIC HEALTHCARE PERSONNELS
DOI:
https://doi.org/10.55197/qjmhs.v5i1.191Keywords:
tuberculosis, DOTS, health economics, digital adherence technologies, nominal group techniqueAbstract
Adherence to tuberculosis (TB) treatment is essential for effective TB control. However, inadequate documentation of the specific cost drivers associated with the implementation of Directly Observed Therapy, Short-course (DOTS) in routine care hinders evidence-based resource planning. This study employed a modified nominal group technique with TB healthcare workers in Malaysian government healthcare facilities to reach consensus on essential cost factors in standard DOTS management for treatment adherence. Participants achieved agreement on six key cost domains, encompassing both provider and patient perspectives. These include investment in digital monitoring tools, staff fieldwork allowances, additional human resources, infrastructure support, patient financial support, and patient transportation. Digital DOTS tools, such as video-observed therapy, along with workforce incentives, have been identified as primary priorities. The findings offer valuable insights for health policymakers, emphasizing areas where targeted resource allocation can enhance cost-effectiveness and improve TB programme efficiency. The results provide a framework for optimizing tuberculosis programme budgets by clarifying cost priorities in DOTS implementation and guiding resource planning. The insights derived from consensus facilitate strategic policy decisions aimed at enhancing treatment adherence and ensuring the sustainability of tuberculosis control programs.
References
[1] Abd Rahim, K.N.K., Kamaruzaman, H.F., Dahlui, M., Puteh, S.E.W. (2020): From evidence to policy: economic evaluations of healthcare in Malaysia: a systematic review. – Value in Health Regional Issues 21: 91-99.
[2] Aibana, O., Dauria, E., Kiriazova, T., Makarenko, O., Bachmaha, M., Rybak, N., Flanigan, T.P., Petrenko, V., Becker, A.E., Murray, M.B. (2020): Patients’ perspectives of tuberculosis treatment challenges and barriers to treatment adherence in Ukraine: a qualitative study. – BMJ Open 10(1): 12p.
[3] Asres, A., Jerene, D., Deressa, W. (2018): Pre-and post-diagnosis costs of tuberculosis to patients on Directly Observed Treatment Short course in districts of southwestern Ethiopia: a longitudinal study. – Journal of Health, Population and Nutrition 37(1): 11p.
[4] Aytona, M.G., Politico, M.R., McManus, L., Ronquillo, K., Okech, M. (2022): Determining staffing standards for primary care services using workload indicators of staffing needs in the Philippines. – Human Resources for Health 19(Suppl 1): 14p.
[5] Belling, R., McLaren, S., Boudioni, M., Woods, L. (2012): Pan-London tuberculosis services: a service evaluation. – BMC Health Services Research 12(1): 12p.
[6] Burman, M., Zenner, D., Copas, A.J., Goscé, L., Haghparast-Bidgoli, H., White, P.J., Hickson, V., Greyson, O., Trathen, D., Ashcroft, R., Martineau, A.R. (2024): Treatment of latent tuberculosis infection in migrants in primary care versus secondary care. – European Respiratory Journal 64(5): 10p.
[7] Endo, Y., Jaramillo, J., Yadav, R.P.H. (2022): Patient‐and health‐system‐related barriers to treatment adherence for patients with drug‐resistant tuberculosis in the Philippines: a mixed‐methods study. – Tuberculosis Research and Treatment 11p.
[8] Fadzil, F.A., Ramli, S.R. (2025): Tuberculosis in Malaysia: Disease timeline, epidemiology, control initiatives and outlook. – Malaysian Journal of Pathology 47(1): 13-23.
[9] Figueroa-Munoz, J., Palmer, K., Dal Poz, M.R., Blanc, L., Bergström, K., Raviglione, M. (2005): The health workforce crisis in TB control: a report from high-burden countries. – Human Resources for Health 3(1): 9p.
[10] Goroh, M.M.D., Rajahram, G.S., Avoi, R., Van Den Boogaard, C.H., William, T., Ralph, A.P., Lowbridge, C. (2020): Epidemiology of tuberculosis in Sabah, Malaysia, 2012–2018. – Infectious Diseases of Poverty 9(1): 11p.
[11] Guo, X., Yang, Y., Takiff, H.E., Zhu, M., Ma, J., Zhong, T., Fan, Y., Wang, J., Liu, S. (2020): A comprehensive app that improves tuberculosis treatment management through video-observed therapy: usability study. – JMIR mHealth and uHealth 8(7): 15p.
[12] Harvey, N., Holmes, C.A. (2012): Nominal group technique: an effective method for obtaining group consensus. – International Journal of Nursing Practice 18(2): 188-194.
[13] Heidary, M., Shirani, M., Moradi, M., Goudarzi, M., Pouriran, R., Rezaeian, T., Khoshnood, S. (2022): Tuberculosis challenges: Resistance, co-infection, diagnosis, and treatment. – European Journal of Microbiology and Immunology 12(1): 1-17.
[14] Herrero, M.B., Ramos, S., Arrossi, S. (2015): Determinants of non adherence to tuberculosis treatment in Argentina: barriers related to access to treatment. – Revista Brasileira de Epidemiologia 18: 287-298.
[15] Holzman, S.B., Zenilman, A., Shah, M. (2018): Advancing patient-centered care in tuberculosis management: a mixed-methods appraisal of video directly observed therapy. – In Open Forum Infectious Diseases, US: Oxford University Press 5(4): 8p.
[16] Iwelunmor, J., Blackstone, S., Veira, D., Nwaozuru, U., Airhihenbuwa, C., Munodawafa, D., Kalipeni, E., Jutal, A., Shelley, D., Ogedegbe, G. (2015): Toward the sustainability of health interventions implemented in sub-Saharan Africa: a systematic review and conceptual framework. – Implementation Science 11(1): 27p.
[17] Kadota, J.L., Nabwire, S., Nalugwa, T., White, J.S., Cattamanchi, A., Katamba, A., Shete, P.B. (2021): Patient perspectives and willingness to accept incentives for tuberculosis diagnostic evaluation in Uganda. – Value in Health Regional Issues 25: 48-56.
[18] Kafie, C., Mohamed, M.S., Zary, M., Chilala, C.I., Bahukudumbi, S., Gore, G., Foster, N., Fielding, K.L., Subbaraman, R., Schwartzman, K. (2024): Cost and cost-effectiveness of digital technologies for support of tuberculosis treatment adherence: a systematic review. – BMJ Global Health 9(10): 16p.
[19] Karumbi, J., Garner, P. (2015): Directly observed therapy for treating tuberculosis. – Cochrane Database of Systematic Reviews 46p.
[20] Koontalay, A., Suksatan, W., Prabsangob, K. (2021): “I am afraid that others will feel scared and disgusted with me. So, I will keep it a secret until I die”: A qualitative study among patients with tuberculosis receiving DOTS regimen in Thailand. – Belitung Nursing Journal 7(6): 516-521.
[21] Lee, S.H., Ten Cate, O., Gottlieb, M., Horsley, T., Shea, B., Fournier, K., Tran, C., Chan, T., Wood, T.J., Humphrey-Murto, S. (2024): The use of virtual nominal groups in healthcare research: an extended scoping review. – PLoS One 19(6): 19p.
[22] Lutge, E.E., Wiysonge, C.S., Knight, S.E., Sinclair, D., Volmink, J. (2015): Incentives and enablers to improve adherence in tuberculosis. – Cochrane Database of Systematic Reviews 43p.
[23] Lv, H., Zhang, X., Zhang, X., Bai, J., You, S., Li, X., Li, S., Wang, Y., Zhang, W., Xu, Y. (2024): Global prevalence and burden of multidrug-resistant tuberculosis from 1990 to 2019. – BMC Infectious Diseases 24(1): 9p.
[24] Manyazewal, T., Woldeamanuel, Y., Holland, D.P., Fekadu, A., Marconi, V.C. (2022): Effectiveness of a digital medication event reminder and monitor device for patients with tuberculosis (SELFTB): a multicenter randomized controlled trial. – BMC Medicine 20(1): 18p.
[25] Marme, G., Rutherford, S., Harris, N. (2023): What tuberculosis infection control measures are effective in resource-constrained primary healthcare facilities? A systematic review of the literature. – Rural and Remote Health 23(1): 1-15.
[26] Portnoy, A., Yamanaka, T., Nguhiu, P., Nishikiori, N., Baena, I.G., Floyd, K., Menzies, N.A. (2023): Costs incurred by people receiving tuberculosis treatment in low-income and middle-income countries: a meta-regression analysis. – The Lancet Global Health 11(10): e1640-e1647.
[27] Ridho, A., Alfian, S.D., van Boven, J.F., Levita, J., Yalcin, E.A., Le, L., Alffenaar, J.W., Hak, E., Abdulah, R., Pradipta, I.S. (2022): Digital health technologies to improve medication adherence and treatment outcomes in patients with tuberculosis: systematic review of randomized controlled trials. – Journal of Medical Internet Research 24(2): 13p.
[28] Ridzuan, F., Rao, G.K.L., Wahab, R.M.A., Dasor, M.M., Mokhtar, N. (2023): Enabling virtual learning for biomechanics of tooth movement: A modified nominal group technique. – Dentistry Journal 11(2): 9p.
[29] Sekandi, J.N., Buregyeya, E., Zalwango, S., Nakkonde, D., Kaggwa, P., Quach, T.H.T., Asiimwe, D., Atuyambe, L., Dobbin, K. (2025): 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 13(1): 18p.
[30] Volmink, J., Garner, P. (1997): Systematic review of randomised controlled trials of strategies to promote adherence to tuberculosis treatment. – BMJ 315(7120): 1403-1406.
[31] Yang, H., Ruan, X., Li, W., Xiong, J., Zheng, Y. (2024): Global, regional, and national burden of tuberculosis and attributable risk factors for 204 countries and territories, 1990–2021: a systematic analysis for the Global Burden of Diseases 2021 study. – BMC Public Health 24(1): 16p.
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