Leveraging mHealth and Peers to Engage African- Americans and Latinxs in HIV Care (LEAN)
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- HIV/AIDS
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: None (Open Label)Primary Purpose: Supportive Care
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Baltimore's HIV prevalence rate (586/100,000) is among the top 5 in metropolitan areas in the US, and disparities are profound. African Americans have an HIV prevalence that is 5 times higher than among whites, and account for 78% of all HIV cases. Latinxs also have a higher prevalence of HIV than w...
Baltimore's HIV prevalence rate (586/100,000) is among the top 5 in metropolitan areas in the US, and disparities are profound. African Americans have an HIV prevalence that is 5 times higher than among whites, and account for 78% of all HIV cases. Latinxs also have a higher prevalence of HIV than whites and are at the highest risk for late HIV diagnosis among all racial/ethnic groups. In addition, HIV viral load suppression, which is the best predictor of long-term survival among HIV-infected patients, is substantially lower among minority populations in Baltimore. The overall goal of this proposal is to evaluate whether mHealth-enhanced Linkage to Care and Retention (mLTCR) can improve HIV outcomes among HIV-infected African Americans and Latinos compared to standard Linkage to Care and Retention (LTCR) programs. The mHealth-enhancement consists of two smartphone applications (app), one for patients and one for patient supporters (e.g. linkage officers, patient navigators, nurses, etc.), to help facilitate communication. Communication will focus on issues related to HIV care (e.g. appointment scheduling, transportation), as well as patient-directed requests. Using HIV surveillance data (e.g. unsuppressed HIV viral load), patient supporters will be automatically alerted if a patient has a high viral load and prompted to contact the patient. In addition to appointment reminders, patients will receive positive reinforcement behavioral text messages.
Tracking Information
- NCT #
- NCT03934437
- Collaborators
- Patient-Centered Outcomes Research Institute
- Investigators
- Principal Investigator: Kathleen W Page Johns Hopkins School of Medicine