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ADAPT for Adolescents Adolescents (A4A)

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The Washington University

Status

Active, not recruiting

Conditions

HIV/AIDS

Treatments

Behavioral: SOC-REC/IP-NAV
Behavioral: SOC-REC/SOC-OIC
Behavioral: E-Nav/IP-NAV
Behavioral: E-NAV/CCT
Behavioral: SOC-REC/CCT
Behavioral: E-NAV/SOC-OIC

Study type

Interventional

Funder types

Other

Identifiers

NCT04432571
201910133

Details and patient eligibility

About

Adolescents and young adults (AYA) with HIV face unique challenges to engagement in care and their ability to achieve optimal health outcomes. The investigators hypothesize that developmentally-tailored behavioral interventions will improve engagement in HIV care and viral suppression (per current MOH guidelines) among AYA with HIV in Kenya. This two stage study will initially randomize 880 AYA with HIV to either standard of care (SOC) or electronic navigation to prevent treatment lapse. Participants who have a lapse will be re-randomized to SOC, in-person peer navigation, or conditional cash transfers. Formative work will be conducted initially to tailor the interventions to AYA and then later to assess AYA perception, experience, and satisfaction with the interventions. We will evaluate the most effective and cost-effective intervention and sequence of interventions to inform HIV program managers, public policy makers, and other key stakeholders the best approaches to improve engagement of care of AYA with HIV.

Full description

While the global response to HIV has reached close to 20 million persons with life-saving antiretroviral therapy (ART) and saved upwards of 60 million life-years, progress has been uneven and adolescents and young adults (AYA) aged 14-24 years represent a key group left behind. Compared to adults, AYA with HIV face more numerous, more diverse and more intense barriers to adherence and retention. The investigators will utilize a SMART study design in two stages among 880 AYA with HIV in Kenya to improve retention and viral suppression per the current MOH guidelines. In stage 1 AYA will be randomized 1:1 to either (1) standard of care education or counseling vs. (2) electronic navigation. Participants who do well (no lapses in retention, medication pick up and viral suppression) will be maintained on these low-intensity interventions, whereas those who fail will be re-randomized a second time to one of three re-engagement interventions (stage 2): (1) standard of care tracing, (2) a conditional cash transfer and (3) in-person peer navigation. The primary outcomes include (1) for prevention: lapse in engagement or viral non-suppression following current MOH guidelines; (2) for re-engagement: viral suppression six months after re-randomization; and (3) across six strategies: sustained viral suppression and sustained engagement in care at two years. The investigators anticipate that enrolling 880 AYA will result in 99% power to detect a 15% difference in the primary outcome between intervention groups. The investigators believe this study will yield evidence specific to AYA with HIV, quantify the relative magnitude of different sequenced interventions, capture the costs, and have direct relevance for public health programming to end the AIDS epidemic through engaging adolescents and young adults with HIV.

Enrollment

880 patients

Sex

All

Ages

14 to 24 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • HIV-infection, on or initiating ART,
  • 14-24 years of age,
  • Living > 6 months in Kisumu County, Kenya in previous year,
  • Capable of informed consent (> 18 years) or with a legal caregiver available for consent (14-<18 years),
  • Access to a cell phone,
  • Ability to read or be read short message service (SMS) messages,
  • Willingness to be contacted by clinic upon missed appointment,
  • For AYA who report phone sharing must have disclosed to the person sharing the phone.
  • Additionally, we will include AYA who are aware of their HIV status or whose caregivers agree to assisted disclosure.

Exclusion criteria

  • AYA who participated in ADAPT-R,
  • Those planning to move out of Kisumu County, those acutely ill and requiring hospitalization,
  • Those who report sharing phones but have not disclosed to the person sharing the phone

Trial design

Primary purpose

Health Services Research

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

880 participants in 6 patient groups

SOC-REC/SOC-OIC
Active Comparator group
Description:
Standard of care - routine education and counseling (SOC-REC)/SOC-Outreach and Intensified Counseling (OIC)
Treatment:
Behavioral: SOC-REC/SOC-OIC
SOC-REC/CCT
Experimental group
Description:
SOC-REC/Conditional Cash Transfer (CCT)
Treatment:
Behavioral: SOC-REC/CCT
SOC-REC/IP-NAV
Experimental group
Description:
SOC-REC/In-Person Peer Navigation (IP-NAV)
Treatment:
Behavioral: SOC-REC/IP-NAV
E-NAV/SOC-OIC
Experimental group
Description:
Electronic Navigation/SOC-OIC
Treatment:
Behavioral: E-NAV/SOC-OIC
E-NAV/CCT
Experimental group
Description:
E-Nav/Conditional cash transfer
Treatment:
Behavioral: E-NAV/CCT
E-NAV/IP-NAV
Experimental group
Description:
E-Nav/In-Person Peer Navigation
Treatment:
Behavioral: E-Nav/IP-NAV

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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