HIV/AIDS Clinical Trial
Official title:
Optimizing HIV Care for Patients With Substance Use Disorders Using Predictive Analytics in a Mobile Health Application
It is now well-accepted that lowering community-level viral load through expansion of antiretroviral therapy (ART) can reduce HIV transmission among people who use drugs. However, achieving durable viral suppression among patients with substance use disorders is a major challenge for providers and health systems. This study aims to adapt and implement an existing mobile health (mHealth) system, A-CHESS (Addiction Comprehensive Health Enhancement Support System) to improve care for HIV patients with substance use disorders.
Patients with substance use disorders are continuously at risk for relapse and other disruptive life events, which may lead to lapses in antiretroviral treatment and subsequent viral rebound, thereby increasing their level of infectivity. Behaviors that place others at risk for HIV transmission such as sharing drug paraphernalia and unprotected sex may also increase during these periods of social and behavioral instability. Various biomedical, behavioral, and structural interventions have been used to prevent lapses in HIV care or minimize their impact when they occur. A potentially transformative strategy would be the one that makes novel use of ubiquitous technology and the existing clinical workforce to provide highly-effective, tailored support to the patients at greatest risk, at the time and place it is needed the most. This study has 2 phases: Phase I has been completed and it was an observational study, not a clinical trial. Patients who volunteered were recruited to use the mobile phone app to enter data, but it was not intended to improve their health or health care. The data collected during phase 1 will be used to inform the intervention in phase 2, where the study team hope to use the system to improve patient care. Phase 2 will conduct a single-arm implementation study (with historical controls) of A-CHESS when implemented in 2 high-volume HIV clinics, providing evidence describing the effectiveness and durability of an mHealth strategy for maintaining viral suppression among patients with substance use disorders treated with ART. The long-term goal of this project is to develop a comprehensive mHealth system that identifies the critical time-varying determinants of lapses in HIV care for substance using patients, and translates these diverse inputs into actionable, patient-specific alerts to clinical providers. This goal will be achieved by adapting and implementing an existing mHealth intervention, A-CHESS, which might improve HIV care for patients with substance use disorders through two mechanisms. First, existing A-CHESS services will improve treatment adherence by enhancing self-determination (i.e., intrinsic motivation, competence and social relatedness). Second, through new functionality incorporating predictive analytics with patient-level data, A-CHESS will identify moments when patients are at the highest risk for antiretroviral treatment failure, allowing clinic-based staff to provide targeted interventions that maximize the efficiency of care coordination resources. If successful, this project would translate important individual and neighborhood-level data into timely and clinically-relevant knowledge that is accessible to the HIV care team, representing a major step forward in our ability to support patients with complex needs. ;
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