Campbell, Jeffrey I.Aturinda, IsaacMwesigwa, EvansBurns, BridgetSantorino, DataHaberer, Jessica E.Bangsberg, David R.Holden, Richard J.Ware, Norma C.Siedner, Mark J.2022-01-162022-01-162017Campbell, J. I., Aturinda, I., Mwesigwa, E., Burns, B., Haberer, J. E., Bangsberg, D. R., ... & Siedner, M. J. (2017). The technology acceptance model for resource-limited settings (TAM-RLS): a novel framework for mobile health interventions targeted to low-literacy end-users in resource-limited settings. AIDS and Behavior, 21(11), 3129-3140. DOI 10.1007/s10461-017-1765-y10.1007/s10461-017-1765-yhttps://nru.uncst.go.ug/xmlui/handle/123456789/1302Although mobile health (mHealth) technologies have shown promise in improving clinical care in resource limited settings (RLS), they are infrequently brought to scale. One limitation to the success of many mHealth interventions is inattention to end-user acceptability, which is an important predictor of technology adoption. We conducted in-depth interviews with 43 people living with HIV in rural Uganda who had participated in a clinical trial of a short messaging system (SMS)-based intervention designed to prompt return to clinic after an abnormal laboratory test. Interviews focused on established features of technology acceptance models, including perceived ease of use and perceived usefulness, and included open-ended questions to gain insight into unexplored issues related to the intervention’s acceptability. We used conventional (inductive) and direct content analysis to derive categories describing use behaviors and acceptability.enUgandamHealthHIVTechnologyAcceptabilityArticle