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Cost-effectiveness analysis of two-way texting (2wT) intervention to improve ART retention among newly-initiated antiretroviral therapy clients in Malawi

Kiruthu-Kamamia, C.; Weldemariam, H.; Chipanda, M.; Huwa, J.; Seyani, J.; Chirwa, H.; Kudzala, A.; Thawani, A.; Chintedza, J.; Sande, O.; Chiwaya, G.; Tweya, H.; Pavlova, M.; Groot, W.; Feldacker, C.

2024-04-19 public and global health
10.1101/2024.04.17.24305960 medRxiv
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BackgroundRetention in HIV care is crucial for improved health outcomes. Malawi has a high HIV prevalence and struggles with retention despite significant progress in controlling the epidemic. Mobile health (mHealth) interventions, such as two-way texting (2wT), have shown promise in improving anti-retroviral therapy (ART) retention. We explore the cost-effectiveness of a 2wT intervention in Lighthouse Trusts Martin Preuss Center (MPC) in Lilongwe, Malawi, that sends automated SMS visit reminders, weekly motivational messages, and supports direct communication between clients and healthcare workers. MethodsCosts and retention rates were compared between 2wT and standard of care (SOC) for 468 clients enrolled in each. Incremental cost-effectiveness ratios (ICERs) were calculated. Scenario analyses were conducted to estimate costs if 2wT expanded. ResultsThe 2wT group had higher retention (80%) than SOC (67%) at 12 months post-ART initiation. For 468 clients, the total annual costs for 2wT were $36,670.38 as compared to SOC costs at $33,458.72, resulting in an ICER of $24,705. Among scenarios, the ICER was -$105,315 if 2wT expanded to all new clients (2678 at MPC and -$723,739 as 2wT expanded to other four high-burden facilities (2901 clients), suggesting high cost savings if 2wT was effectively scaled. ConclusionThe 2wT intervention appears cost-effective to improve ART retention among new ART initiates in a high-burden ART clinic. While mHealth interventions have potential limitations, their benefits in improving patient outcomes and cost savings support their integration into HIV care programs.

Published in Oxford Open Digital Health · not in our set (fewer than 10 published preprints to learn from) · training set

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