Adherence to Short-Duration Treatment (3HP) for Latent Tuberculosis among International Migrants in Manaus, Amazonas: Evaluation of the Efficacy of Different Treatment Modalities

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Alves, Yan Mathias ; Berra, Thais Zamboni ; de Jezus, Sonia Vivian ; Araujo, Vania Maria Silva ; Pinheiro, Jair dos Santos ; de Assis, Lara Bezerra de Oliveira ; Canelonez, Marvis ; Sacramento, Daniel Souza ; Perez, Freddy ; Maciel, Ethel Leonor Noia ; Arcencio, Ricardo Alexandre

• Document type: Journal article
• Source: MICROORGANISMS; v. 12, n. 8, p. 18-pg., 2024-08-01.

Abstract

Migration, a multifaceted phenomenon, has a significant impact on health. Migrants perform similar movement patterns within their country of origin, in transit, and in the country of destination, thus making it difficult to monitor TB treatment throughout the journey. The objective was to compare the effectiveness of different treatment modalities in adherence to the short-term regimen for LTBI (3HP) among international migrants and refugees. This is a quasi-experimental study conducted in Manaus-AM. The study population was made up of international migrants. The certification and monitoring of medication intake employed three strategies: self-administration (SA), directly observed conventional therapy (DOT), and Video Telemonitoring System for Tuberculosis Treatment (VDOT). The VDOT group and SA group exhibited the lowest rate of treatment dropout or interruption at 16.1%, followed by the DOT group at 23.1%. The results suggest that the most effective strategy for ensuring adherence among migrants and refugees was VDOT (OR_adj 0.26; CI 0.7-0.94), suggesting that migrants may be more likely to adhere to and complete their treatment. The results show that relying on different treatment strategies, adapted to the individuals' needs and risk factors, is a viable and effective way of providing person-centered TB care. (AU)

• FAPESP's process: 23/01758-6 - Impact of COVID-19 on Tuberculosis control in the State of São Paulo-Brazil: analysis of morbidity and mortality indicators and coping strategies by digital health
• Grantee: Yan Mathias Alves
• Support Opportunities: Scholarships in Brazil - Doctorate