![]() Additionally, potentially increased workload or required levels of digital literacy among HCWs may limit adoption and potential scale-up. Across much of SSA, formidable technology, infrastructure, and connectivity challenges continue to stymie mHealth. Adding interactive components, such as two-way texting, fosters direct patient to HCW communication and appears more effective at increasing engagement in care. One-way “blast” educational messages or reminders (pre-defined, no response) modesty improve retention and adherence. ĭigital or mobile health (mHealth) interventions may help reduce retention gaps. However, once patients miss visits or have treatment interruptions, early retention efforts are most likely to successfully return patients to care. healthcare workers (HCW) shortages) and macro-level factors (e.g., COVID-19 global funding priorities). Factors influencing retention on ART are complex and dynamic, including individual (e.g., poverty, poor access to care, work or familial obligations), institutional (e.g. Early retention, within the first 6 months on ART, can be the most challenging, resulting in concentrated treatment disruptions within the first year on ART. A systematic review of ART retention in SSA estimated 36-month retention at 65%. In sub-Saharan Africa (SSA), in particular, suboptimal retention results in missed targets for critical UNAIDS 95-95-95 targets by 2030. Poor retention of people living with HIV (PLHIV) on antiretroviral therapy (ART) negatively affects individual clinical outcomes and viral load suppression. Pachawo Bisani, Project administration, Visualization, Writing – review & editing,Īnd Caryl Feldacker, Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing Geldert Chiwaya, Investigation, Project administration, Supervision, Writing – review & editing,Īubrey Kudzala, Project administration, Supervision, Writing – review & editing,īeatrice Wasunna, Software, Supervision, Validation, Visualization, Writing – review & editing,ĭumisani Ndhlovu, Software, Supervision, Validation, Writing – review & editing, Joseph Chintedza, Investigation, Project administration, Supervision, Writing – review & editing, Maryanne Mureithi, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing,Ĭhristine Kiruthu-Kamamia, Supervision, Writing – review & editing,įemi Oni, Software, Supervision, Validation, Visualization, Writing – review & editing, , * Hannock Tweya, Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing, Jacqueline Huwa, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing,
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