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  1. Home
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Browsing by Author "Naggirinya, Agnes Bwanika"

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    Cost-effectiveness of an interactive voice response system for improving retention in care and adherence to antiretroviral therapy among young adults in Uganda
    (BMC, 2024-09) Naggirinya, Agnes Bwanika; Nuwamanya, Elly; Nabaggala, Maria Sarah; Musinguzi, Francis; Nanungi, Annet; Waiswa, Peter; Rujumba, Joseph; Meya, David B; Parkes-Ratanshi, Rosalind
    Abstract Background New interventions aimed at increasing access to and adherence to antiretroviral therapy among young people living with the human immunodeficiency virus (YPLHIV) are needed. This study assessed the cost-effectiveness of the call-for-life interaction voice response tool compared to that of the standard of care (SOC) for promoting treatment adherence and retention in care among YPLHIV in Western Uganda. This cost-effectiveness study used data from a randomized controlled trial and a decision-analytic Markov model to estimate the long-term outcomes and costs of the Call for Life-Interactive Voice Response (CFL-IVR) tool and the usual care from the Ugandan public payer perspective. The model was parameterized using primary data and the literature and adopted a 1-year Markov cycle. The main outcomes were mean annual costs, disability-adjusted life-years (DALYs), and the incremental cost-effectiveness ratio (ICER) in form of cost per DALY averted. The CLF-IVR was deemed cost-effective if the ICER was between 1% and 51% of Uganda’s gross domestic product. We conducted deterministic and probabilistic sensitivity analyses to assess the effect of adjusting parameter values on cost-effectiveness estimates. All costs were reported in 2021 US dollars, and a discount rate of 3% was applied to both costs and outcomes. Results The base case analysis showed that, from the Ugandan public payer perspective, the CLF-IVR led to more mean annual costs ($359 vs. $280) and averted more mean annual DALYs (15.78 vs. 11.09) than the SOC, leading to an ICER of $17 per DALY averted. The base-case results did not change significantly in the deterministic and probabilistic sensitivity analyses. The cost-effectiveness estimates were more responsive to uncertainties surrounding ART duration, viral load suppression rates, and discount rates. Conclusion The CLF-IVR may be a cost-effective intervention for promoting treatment adherence and retention in care among YPLHIV in Uganda and other low-income settings. Once implemented, similar interventions may lead to greater returns in encouraging adherence to ART and retention in care among YPLHIV and other vulnerable groups, and eventually favorable clinical outcomes. Trial registration NCT04718974 Registry: clinical Trials.gov https://ichgcp.net/nl/clinical-trials-registry/NCT04718974 (20 Jan 2021).
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    An Interactive Voice Response Software to Improve the Quality of Life of People Living With HIV in Uganda: Randomized Controlled Trial
    (JMIR mHealth and uHealth, 2021) Byonanebye, Dathan Mirembe; Nabaggala, Maria S.; Naggirinya, Agnes Bwanika; Lamorde, Mohammed; Oseku, Elizabeth; King, Rachel; Owarwo, Noela; Laker, Eva; Orama, Richard; Castelnuovo, Barbara; Kiragga, Agnes; Ratanshi, Rosalind Parkes
    Following the successful scale-up of antiretroviral therapy (ART), the focus is now on ensuring good quality of life (QoL) and sustained viral suppression in people living with HIV. The access to mobile technology in the most burdened countries is increasing rapidly, and therefore, mobile health (mHealth) technologies could be leveraged to improve QoL in people living with HIV. However, data on the impact of mHealth tools on the QoL in people living with HIV are limited to the evaluation of SMS text messaging; these are infeasible in high-illiteracy settings.The primary and secondary outcomes were to determine the impact of interactive voice response (IVR) technology on Medical Outcomes Study HIV QoL scores and viral suppression at 12 months, respectively.Within the Call for Life study, ART-experienced and ART-naïve people living with HIV commencing ART were randomized (1:1 ratio) to the control (no IVR support) or intervention arm (daily adherence and pre-appointment reminders, health information tips, and option to report symptoms). The software evaluated was Call for Life Uganda, an IVR technology that is based on the Mobile Technology for Community Health open-source software. Eligibility criteria for participation included access to a phone, fluency in local languages, and provision of consent. The differences in differences (DIDs) were computed, adjusting for baseline HIV RNA and CD4.Overall, 600 participants (413 female, 68.8%) were enrolled and followed-up for 12 months. In the intervention arm of 300 participants, 298 (99.3%) opted for IVR and 2 (0.7%) chose SMS text messaging as the mode of receiving reminders and health tips. At 12 months, there was no overall difference in the QoL between the intervention and control arms (DID=0.0; P=.99) or HIV RNA (DID=0.01; P=.94). At 12 months, 124 of the 256 (48.4%) active participants had picked up at least 50% of the calls. In the active intervention participants, high users (received >75% of reminders) had overall higher QoL compared to low users (received <25% of reminders) (92.2 versus 87.8, P=.02). Similarly, high users also had higher QoL scores in the mental health domain (93.1 versus 86.8, P=.008) and better appointment keeping. Similarly, participants with moderate use (51%-75%) had better viral suppression at 12 months (80/94, 85% versus 11/19, 58%, P=.006).Overall, there was high uptake and acceptability of the IVR tool. While we found no overall difference in the QoL and viral suppression between study arms, people living with HIV with higher usage of the tool showed greater improvements in QoL, viral suppression, and appointment keeping. With the declining resources available to HIV programs and the increasing number of people living with HIV accessing ART, IVR technology could be used to support patient care. The tool may be helpful in situations where physical consultations are infeasible, including the current COVID epidemic.

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