LAUSR

Data informed decision-making (DIDM) plays a fundamental role in the fight against HIV and AIDS in Low-and-Middle-Income Countries (LMICs). Despite the scale-up of HIV care services, supported by health information systems (HIS), cases of under-utilization of data in decision-making are still being reported at different levels of the health system. Literature revealing the process involved in data users' decision to adopt DIDM in LMICs is meager. To fill this gap, we employ the innovation-decision model to describe the stages of adoption of DIDM by data users. Thus, we extract reports on efforts to promote DIDM in HIV from existing literature, and map this to the model. We then identify important stages, which require emphasis in the adoption process. Hence, implementers could benefit from use of the innovation-decision model in understanding adoption process of DIDM.