Building blocks for an HIV-NCD integration Community-Clinical Linkage Model TO enhance the MAP-IT Study: Link2MAP-IT

University Of Abuja, Abuja

Investigators

Linked publications & trials

Abstract

ABSTRACT The “Managing Hypertension among People Living with HIV: An Integrated Model” (MAP-IT) parent study is an ongoing NIH-funded cluster randomized controlled trial of 30 primary healthcare facilities in Akwa-Ibom, Nigeria (UH3HL154498). MAP-IT aims to compare the effect of practice facilitation (i.e. quality improvement support for primary care practices) with usual care (i.e. treatment provided by community nurses) on the rate of adoption of a task-strengthening strategy for hypertension control and change in systolic blood pressure for people living with HIV (PLWH). In response to PA-20-272, we propose this administrative supplement, “Building blocks for an HIV-NCD integration Community-Clinic Linkage Model TO enhance the MAP-IT Study” (Link2MAP-IT), which initiates the building blocks in developing a community-clinical linkage (CCL) model to enhance and integrate non-communicable disease care for PLWH in Akwa-Ibom State. Link2MAP-IT will conducts a community asset mapping (CAM) of the resources and capacities of the estimated 53 community-based organizations (CBOs) in Akwa-Ibom servicing PLWH to establish an HIV-NCD CCL network. Additionally, Link2MAP-IT will use a human- centered design approach to work with MAP-IT local advisory committee to identify the barriers and facilitators of creating a CCL model for PLWH with uncontrolled hypertension who engage with CBOs in Akwa-Ibom. This research will advance the potential impact of the MAP-IT study by establishing a more focused pathway for CBO engagement. It will also contribute to enhancing the reach for hypertension treatment for the MAP-IT study and will be a critical first step for developing a CCL model to improve hypertension care for PWLH through community partnership. A first of its kind in Akwa-Ibom, this study will advance the evidence for CCL models for dual disease burdens in low resource-high need settings.