NCT05789875

Brief Summary

Young adults have a disproportionately high rate of HIV infection, high rates of attrition at all stages of the HIV care continuum, an increased risk of antiretroviral therapy (ART) nonadherence and virologic failure, and a high probability of disease progression and transmission. Tracking and monitoring objective measures of ART adherence in real time is critical to strategies to support adherence and improve clinical outcomes. However, adherence monitoring often relies on self-reported and retrospective data or requires extra effort from providers to understand adherence patterns, making it difficult for providers to accurately determine how to support their patients in real time. In the proposed interventional study, the investigators aim to pilot test an automated directly observed therapy intervention paired with conditional economic incentives to improve ART adherence among youth living with HIV (YLWH) (18-29 years-old) who have an unsuppressed HIV viral load. Aim 1: Conduct a pilot study to assess feasibility and acceptability of the use of automated directly observed therapy with conditional economic incentives (aDOT-CEI) among YLWH (aged 18-29; N= 30) at AIDS Healthcare Foundation (AHF) clinics in California and Florida. Primary outcomes will be feasibility and acceptability, assessed using predefined feasibility metrics and acceptability surveys at three months. Aim 2: Explore experiences of YLWH and staff/providers with the aDOT-CEI intervention and implementation facilitators and barriers. The investigators will conduct in-depth qualitative interviews with a sample of YLWH from Aim 1 and staff/providers purposively selected from participating AHF clinics to explore intervention experiences, potential influences on ART adherence, individual-level and clinic-level barriers and facilitators to intervention implementation, and suggested refinements for a future efficacy trial. The investigators hypothesize that the aDOT-CEI intervention to improve ART adherence among YLWH will have high feasibility and acceptability.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
28

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Jan 2023

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 31, 2023

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

March 16, 2023

Completed
13 days until next milestone

First Posted

Study publicly available on registry

March 29, 2023

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 24, 2023

Completed
15 days until next milestone

Study Completion

Last participant's last visit for all outcomes

September 8, 2023

Completed
12 months until next milestone

Results Posted

Study results publicly available

August 26, 2024

Completed
Last Updated

August 26, 2024

Status Verified

August 1, 2024

Enrollment Period

7 months

First QC Date

March 16, 2023

Results QC Date

May 28, 2024

Last Update Submit

August 1, 2024

Conditions

Outcome Measures

Primary Outcomes (8)

  • Feasibility: Rate of Participant Retention

    Rate of Participant Retention will be calculated as the percent of those who were retained in the study and completed the final survey.

    3 Months

  • Feasibility: Mean Logins Per Week

    Mobile app data from the AiCure Application (paradata) will be used to measure the number of participant logins per week and thereby calculate mean logins per participant per week.

    3 months

  • Feasibility: Mean Number of Seconds in App Per Day

    Mobile app data from the AiCure Application (Paradata) will be used to measure the number of seconds each participant spends in that app each day, thereby calculating the mean number of seconds in app per day per participant.

    3 months

  • Feasibility: Mean Percent Doses a Participant May Have "Falsified" Med-taking

    The AiCure mobile application platform uses an artificial intelligence or AI platform to recognize dosing patterns recorded by users that do not correspond to what has been defined as 'normal' dosing by the AI. The AI accordingly flags any video recording featuring abnormal dosing for review by the AiCure Video Review team. Upon confirmation of abnormal dosing, the AiCure Video Review team notifies the research coordinator in the form of a "Red Alert". Each of these "Red Alerts" message will be counted as an event of intentional nonadherence, and the mean number of times a participant may have "falsified" medication taking will be calculated and compared against the number of 'normal' doses.

    3 months

  • Acceptability: System Usability Scale (SUS) >68, Considered Above Average and Acceptable

    The acceptability of the AiCure Mobile application will be through the System Usability Scale (SUS). The intervention was considered acceptable if ≥80% had a SUS score \>68, which is considered above average acceptability.

    3 months

  • Acceptability: Client Satisfaction Questionnaire (CSQ-8) Score of ≥17, Considered Above Average and Acceptable

    Client satisfaction will be measured using a Client Satisfaction Questionnaire (CSQ-8). The CSQ-8 is an 8-item scale with higher values indicating higher satisfaction. Acceptability was set as a cutoff of 80% having a score of ≥17, which is the score cutoff considered above average and acceptable for this measure.

    3 months

  • Acceptability: Likelihood of Recommending the Study to a Friend (Extremely, Very)

    Recommend study to a friend. 7-point Likert Scale of how likely participants are to recommend the study to a friend. The intervention was considered acceptable if ≥80% reported likely or very likely to recommend.

    3 months.

  • Acceptability: Satisfaction With the App+Incentives (Mostly, Very)

    Client satisfaction with the app+incentives. 7-point Likert Scale values from 1-7 with lower values corresponding to least satisfaction and higher values corresponding to greater satisfaction.

    3 months

Secondary Outcomes (5)

  • Mean Percent Adherence Over the Study Period (Excluding Those Lost to Follow up)

    3 months

  • Median Self-Reported Adherence Score at Study Exit

    3 months

  • Monitoring of Behavior: Number of Seconds in App

    3 months

  • Monitoring of Behavior: Ease of Use

    3 months

  • Monitoring of Behavior: Frequency of App Related Issues

    3 months

Study Arms (1)

Intervention

EXPERIMENTAL

All YLWH who choose to enroll in the study will receive access to AiCure, the mobile health application. The participants will be asked to use the app for 3 months, during which the investigators will assess the feasibility and acceptability of AiCure.

Other: aDOT-CEI

Interventions

For the design and development of the mobile health app, we have partnered with AiCure to use an existing HIPAA-compliant mobile health app. The app will record video of the participant taking their HIV medication in order to monitor the participant's medication adherence and track incentives for this behavior in real-time.

Also known as: AiCure
Intervention

Eligibility Criteria

Age18 Years - 29 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • to 29 years of age
  • Have access to a smartphone
  • Can speak and read English
  • Client is at an AHF clinic in California or Florida
  • Client has an unsuppressed HIV viral load at least 3 months post HIV diagnosis
  • Client is on once daily oral antiretroviral therapy
  • Consent to participate in the proposed study

You may not qualify if:

  • YLWH who are newly HIV diagnosed in the past 3 months
  • Smartphone is a Samsung galaxy s21 or iPhone 5SE (app is not supported by these phones)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

UCSF Center for AIDS Prevention Studies

San Francisco, California, 94158, United States

Location

Related Publications (1)

  • Stoner MCD, Ming K, Wagner D, Smith L, Patani H, Sukhija-Cohen A, Johnson MO, Napierala S, Neilands TB, Saberi P. Youth Ending the HIV Epidemic (YEHE): Protocol for a pilot of an automated directly observed therapy intervention with conditional economic incentives among young adults with HIV. PLoS One. 2023 Dec 22;18(12):e0289919. doi: 10.1371/journal.pone.0289919. eCollection 2023.

MeSH Terms

Conditions

Acquired Immunodeficiency Syndrome

Condition Hierarchy (Ancestors)

HIV InfectionsBlood-Borne InfectionsCommunicable DiseasesInfectionsSexually Transmitted Diseases, ViralSexually Transmitted DiseasesLentivirus InfectionsRetroviridae InfectionsRNA Virus InfectionsVirus DiseasesSlow Virus DiseasesGenital DiseasesUrogenital DiseasesImmunologic Deficiency SyndromesImmune System Diseases

Results Point of Contact

Title
Dr. Parya Saberi
Organization
UCSF

Study Officials

  • Parya Saberi, PharmD

    UCSF School of Medicine, Division of Prevention Science

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SUPPORTIVE CARE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 16, 2023

First Posted

March 29, 2023

Study Start

January 31, 2023

Primary Completion

August 24, 2023

Study Completion

September 8, 2023

Last Updated

August 26, 2024

Results First Posted

August 26, 2024

Record last verified: 2024-08

Data Sharing

IPD Sharing
Will not share

Locations