Abstract
Depression and low medication taking self-efficacy are among the most important mechanisms contributing to poor adherence to treatment and care for persons with HIV (PWH). While the overall negative relationship between depression and medication taking self-efficacy has been well established, little is known on the precise pathways linking depression and medication taking self-efficacy. Thus, it is critical to identify a specific item of depression and medication taking self-efficacy that derives the overall negative relationship. The current study is a secondary data analysis using the baseline data from a randomized controlled trial that aims to support PWH to self-manage antiretroviral therapy regimens via mHealth technology and community health workers to monitor their adherence using a self-management app. A total of 282 participants were included. The machine-learning based network analysis was conducted to explore the structure of the depression and medication taking self-efficacy network and to identify bridge nodes between depression and medication taking self-efficacy. Our study identified difficulty concentrating on things and confidence to stick to treatment schedule when not feeling well are important bridge nodes connecting the network of depression and medication taking self-efficacy. Future studies should focus on developing interventions that would target the bridge pathway and examine their effectiveness in reducing depression and increasing medication taking self-efficacy.