Using Implementation Mapping to Ensure the Success of PrEP Optimization Through Enhanced Continuum Tracking (PrOTECT) AL-A Structural Intervention to Track the Statewide PrEP Care Continuum in Alabama.

INTRODUCTION: Ending the HIV Epidemic initiatives provide a unique opportunity to use implementation scientific methods to guide implementation of evidence-based practices and evaluate their effectiveness in real-word settings to improve HIV inequities. This report demonstrates our use of Implementation Mapping (IM) to engage participating county health departments, AIDS services organizations, and community-based organizations in the development of a data dashboard to track the PrEP care continuum for the state of Alabama, an Ending the HIV Epidemic hotspot. METHODS: Our project is guided by an overarching Implementation Research Logic Model and by the tenets of IM, a 5-step approach to support researchers and community partners in the systematic selection, development, and/or tailoring of implementation strategies to increase program adoption, implementation, and sustainability. RESULTS: Step 1, the needs assessment, established baseline data elements for a PrEP care continuum for participating community-based organizations, AIDS services organizations, and the state health department as well as investigated their desire for data visualization and willingness to share data to inform initiatives to improve PrEP access. Step 2 identified adaptability, relative advantage, and complexity as determinants of intervention adoption. Based on findings from steps 1 and 2, the investigators and community partners determined to move forward with development of a data dashboard. Step 3 identified the following implementation strategies to support a dashboard, including development of educational materials, synchronous and asynchronous training, technical assistance, and improved record systems. DISCUSSION: Using IM supports community-engaged researchers in designing strategies to end the epidemic that are context-specific and more impactful in real-word settings.

Extending access to care across the rural US south: Preliminary results from the Alabama eHealth programme.

PURPOSE: Using a mixed-methods formative evaluation, the purpose of this study was to provide a broad overview of the Alabama eHealth programme set-up and initial patient outcomes. The Alabama eHealth programme uses telemedicine to provide medical care to people living with HIV in rural Alabama. It was led by a community-based organisation, Medical Advocacy and Outreach (MAO), and supported by AIDS United and the Corporation for National Community Service's Social Innovation Fund with matching support from non-federal donors. METHODS: We conducted and transcribed in-depth interviews with Alabama eHealth staff and then performed directed content analysis. We also tracked patients' ( n = 240) appointment attendance, CD4 counts, and viral loads. FINDINGS: Staff described the steps taken to establish the programme, associated challenges (e.g., costly, inadequate broadband in rural areas), and technology enabling this programme (electronic medical records, telemedicine equipment). Of all enrolled patients, 76% were retained in care, 88% had antiretroviral therapy and 75% had a suppressed viral load. Among patients without missing data, 96% were retained in care, 97% used antiretroviral therapy and 93% had suppressed viral loads. There were no statistically significant demographic differences between those with and without missing data. CONCLUSIONS: Patients enrolled in a telemedicine programme evaluation successfully moved through the HIV continuum of care.

Data for Care (D4C) Alabama: Clinic-Wide Risk Stratification With Enhanced Personal Contacts for Retention in HIV Care via the Alabama Quality Management Group.

BACKGROUND: The Alabama Quality Management Group (AQMG), a consortium of 9 Ryan White-funded part C and D clinics, distributed statewide was established in 2006 under the guidance from the Health and Resources Services Administration with a clinical quality improvement (CQI) focus. METHODS: We describe the origins and evolution of the AQMG, including requisite shifts from aggregate clinic-wide to de-identified individual-level data reporting for implementation of the Data for Care (D4C-AL) Alabama program. The D4C-AL strategy uses a clinic-wide risk stratification of all patients based on missed clinic visits in the previous 12 months. Intermediate (1-2 missed visits) and high-risk patients (>3 missed visits) receive the evidence-informed Retention through Enhanced Personal Contact intervention. We report on a pilot of the D4CAL program in 4 of 33 primary HIV care clinics at the UAB 1917 Clinic. RESULTS: Among 3859 patients seen between April 2018 and February 2019, the missed visit rate was not significantly different between the D4C-1917 (19.2%) and non-D4C clinics (20.5%) in a preintervention period (May 2017-April 2018). However, a significantly lower missed visit rate was observed in the D4C-1917 vs. non-D4C-1917 clinics during the intervention period (April 2018-February 2019, P = 0.049). CONCLUSIONS: The AQMG has been transformed into a health service research and implementation science platform, building on a shared vision, mission, data reporting, and quality improvement focus. Moreover, CQI may be viewed as an implementation strategy that seeks to enhance uptake and sustained use of effective interventions with D4C-AL representing a prototype for future initiatives embedded within extant quality improvement consortia.