Developing and testing a digital health tool for INterseCtional stigma assessment and reduction at multiple Levels and mUltiple DimEnsions (INCLUDE) to improve HIV care in ART centers in Nepal
- Institution
- UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, CA
- Principal investigator
- Bibhav Acharya
- Funding
- $114K
- Duration
- 2024–2027
Moonbase score
Still being scored
Abstract
Project Abstract People living with HIV (PLWH) have poor clinical outcomes when they are excluded from care due to intersectional stigma related to HIV, mental health (MH), and other dimensions. Recent studies and reviews have highlighted three major challenges in identifying and addressing intersectional stigma: a lack of stigma assessment strategies that are multi-dimensional and can be incorporated into routine clinical care, a lack of tailored stigma-reduction activities, and a lack of implementation of multi-level interventions. These gaps make it difficult to recognize and address intersectional stigma, leading to poor HIV care outcomes globally. Digital health tools, co-designed with PLWH and healthcare workers (HCWs), have the potential to assist ART centers in addressing these challenges. Guided by the principles of human-centered design, which our team has utilized in a recent R34 study to improve adherence to HIV care in Nepal, we now propose to develop and pilot test a digital tool with three components that can address the challenges in assessing, prioritizing, and addressing intersectional stigma in ART centers. The components include: 1) a dynamic assessment strategy that can be used during a clinic visit to collect both quantitative (i.e., ratings) and qualitative data (i.e., free text of client’s perspectives) on stigma reported by PLWH; 2) a dashboard that incorporates this stigma assessment data alongside routine clinical data (i.e., existing registry of clients in the ART center) so that ART centers can directly link stigma with care engagement, and also identify relevant stigma-reduction activities; and 3) a repository of evidence-based, culturally appropriate activities that can reduce stigma at the intrapersonal-, interpersonal-, and clinic-levels. The three components of the digital intervention are theoretically grounded and are based on prior studies and consultations with local partners. The study’s Aim 1 is: To iteratively develop the digital health tool INterseCtional stigma assessment and reduction at multiple Levels and mUltiple DimEnsions (INCLUDE) for routine use in ART centers. We will achieve this by developing INCLUDE through a co-design process involving PLWH, HCWs, researchers. We will then pre-pilot INCLUDE at a single ART center to prepare it for Aim 2: To assess the acceptability and feasibility of INCLUDE among clients, HCWs, and ART center leads in four ART centers. For this aim, we will conduct a pilot trial at four ART centers to assess the acceptability and feasibility of INCLUDE. The human-centered co-design process ensures that INCLUDE meets the needs of stakeholders and can be integrated into routine care. This project brings together our team’s longstanding expertise and experience in HIV, stigma, MH, digital health, and in working closely with the local government. If successful, this study will provide an intervention that can be incorporated into routine clinical practice to systematically identify and address intersectional stigma to improve HIV care, and can be tested in a cluster randomized trial with ART centers in Nepal and other regions that face similar challenges.
Research team
- Bibhav AcharyaPI
- Sabitri SapkotaPI
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