East Africa Point of Care Viral Load Study (EAPoC-VL)

June 26, 2025 updated by: MRC/UVRI and LSHTM Uganda Research Unit

Implementation of Point of Care HIV Viral Load Monitoring to Improve Viral Load Suppression Among Children, Adolescents and Young People Living With HIV in East Africa

The purpose of EAPoC-VL project is to examine the feasibility, acceptability, and effectiveness of using point of care viral load (PoC VL) monitoring to improve viral load suppression among children, adolescents and young people (age ≤24 years) living with HIV in Kenya, Rwanda, Tanzania and Uganda.

Study Overview

Detailed Description

Main Study Aims:

i) To determine the effectiveness of PoC VL monitoring in improving viral suppression among children, adolescents and young people living with HIV in East Africa.

ii) To evaluate feasibility and acceptability of using PoC VL monitoring among children, adolescents and young people living with HIV in East Africa.

iii) To understand the psychosocial life of children, adolescents and young people living with HIV in East Africa and how they predict adherence and viral load suppression

Objectives of Aim 1:

Primary objective i. To estimate the effect of PoC VL monitoring on viral load suppression among children, adolescents and young people living with HIV in East Africa at 6 and 12 months of follow-up.

Secondary objectives i. To describe the effect of PoC VL monitoring on the proportion of children, adolescents and young people living with HIV that experiences virological rebound after initial suppression within 6 and 12 months of follow-up.

ii. To describe the effect of PoC VL monitoring on time to initiation of intensive adherence counselling following virological failure among children, adolescents and young people living with HIV.

iii. To estimate the effect of PoC VL monitoring on the proportion of children, adolescents and young people living with HIV that experiences change of ART regimen within 6 and 12 months of follow-up.

iv. To determine the effect of PoC VL monitoring on the proportion of children, adolescents and young people living with HIV that is retained in care at 6 and 12 months.

Objectives of Aim 2 i. To assess the acceptability of the implementation and scale-up of PoC VL testing and monitoring from the perspective of children, adolescents, young people and their caregivers.

ii. To assess the critical determinants that may affect the implementation of PoC VL testing and monitoring from the perspective of healthcare workers and policy makers.

iii. To assess potential barriers and facilitators to implementation and scale-up of PoC VL testing and monitoring among children, adolescents and young people living with HIV.

iv. To assess the incremental cost-effectiveness of PoC VL from a modified societal perspective using established models, with data collected alongside the implementation of the intervention combined with data estimated based on existing studies.

Objectives of Aim 3 i. To psychometrically validate 'psychosocial life' questionnaires. ii. To iteratively develop and psychometrically validate a novel user-friendly tablet-based 'Psychosocial Life' game that predicts adherence and viral load.

iii. To develop and test a set of clinical micro-interventions for psychosocial support based on existing best practice.

iv. To measure how 'psychosocial life' mediates the PoC effect on adherence and viral load.

v. To test proof-of-concept of the use of the novel 'psychosocial life' game and associated micro-interventions in a clinical setting.

Design: A cluster randomized controlled trial with 14 intervention clusters and 14 control clusters.

Study Sites: Twenty (28) health facilities spread across 4 countries as follows: Uganda (8), Kenya (4), Tanzania (12), and Rwanda (4).

Population: The study will be conducted among three population sub-groups

  1. Study population 1: children, adolescents and young people (≤24 years) living with HIV in participating countries in East Africa.
  2. Study population 2: Care givers/ guardians and treatment supporters of children, adolescents and young people living with HIV in participating countries in East Africa
  3. Study population 3: Health care workers attending to children, adolescents and young people living with HIV, and policy makers.

Study Intervention: PoC VL monitoring using Cepheid Gene Xpert machine Control: Standard-of-care / centralized HIV VL monitoring

Duration: The whole project will take 48 months including 24 months of data collection. Each participant will be followed up for approximately 12 months.

Sample size The study will enroll 956 children, adolescents and young people (6months - 24years); with 476 in 14 intervention clusters and 476 in 14 control clusters (34 participants per cluster). The effect of the intervention and 95% CIs will be estimated using cluster-level summary methods and a power of 80%.

Study outcomes of Aim 1 Primary outcomes i. The proportion of children, adolescents and young people living with HIV that achieves viral suppression at 6 and 12 months of follow-up.

ii. The time between enrolment into the study and viral suppression.

Secondary outcomes i. The proportion of children, adolescents and young people living with HIV that experiences virological rebound after initial suppression within 6 and 12 months of follow-up ii. The time between enrolment into the study and initiation of intensive adherence counselling following virological failure.

iii. The proportion of children, adolescents and young people living with HIV that experiences change of ART regimen within 6 and 12 months of follow-up iv. The proportion of children, adolescents and young people living with HIV that is retained in care at 6 and 12 months.

Study outcomes of Aim 2 i. Assessed acceptability of the implementation and scale-up of PoC VL testing and monitoring from the perspective of children, adolescents and young people, and their caregivers.

ii. Identified critical determinants that may affect the implementation of PoC VL testing and monitoring from the perspective of healthcare workers and policy makers.

iii. Identified potential barriers and facilitators to implementation and scale-up of PoC VL testing and monitoring among children, adolescents and young people living with HIV.

iv. An assessment of the incremental cost-effectiveness of PoC VL from a modified societal perspective

Study outcomes of Aim 3 i. Quantified and psychometrically validated measurement of the psychosocial life of children, adolescents and young people living with HIV in East Africa ii. A novel psychometrically validated user-friendly tablet-based 'Psychosocial Life' game that predicts viral load based on psychosocial life.

iii. A list of proposed clinical micro-interventions for psychosocial support based on existing best practice.

iv. A model explaining how psychosocial life indicators mediate the PoC effect on adherence and viral load suppression.

v. A proof-of-concept of the use of the novel 'psychosocial life' game and associated micro-interventions in clinical settings.

Statistical Analysis Aim 1

To investigate the effect of the intervention on viral suppression our analysis will be carried out at the cluster level as follows:

  • Reduce clusters to independent observations and provide summary statistics by comparing those in the intervention arm to those in the non-intervention arm.
  • Use fixed effects regression to take into account unobserved time-invariant heterogeneity and the treatment effects across the clusters
  • Analyse the main outcome (viral suppression) using time to event comparison of the two arms from enrolment to failure or completion of the follow-up time (2 years).

Mixed method Analysis Aim 2 Acceptability and feasibility will be investigated using a combined qualitative and quantitative approach, consisting of thematic content analyses of observations, in-depth interviews and focus group discussions, triangulated and generalized with descriptive statistics of survey data. As part of the feasibility study, the impact of a range of values in sensitivity analyses using each of the respective sites' 2020 per capita GDP as a benchmark cost-effectiveness threshold will be evaluated to be able to estimate the incremental cost-effectiveness of the PoC HIV VL compared to the standard of care. Quality adjusted life years (QALYS) will be calculated based on weights derived from the Global Burden of Disease.

Analysis for Aims 3 Step 1: Determining which psychosocial indicators will be used in the structure equation model on baseline data Pearson correlation analyses will be conducted to examine the strength of associations between all psychosocial life indicator variables and medication adherence. For that, a correlation table will be obtained for looking for multicollinearity. If any two explanatory variables have a Pearson's coefficient of 0.80 or greater one of the variables will be excluded from further analysis as they may measure the same underlying factor.

To determine statistically which psychosocial life indicators have the most predictive power and ascertain the extent to which selected indicators can predict adherence or viral load, a stepwise hierarchical multiple regression will be carried out. Potential predictors will be automatically added into the regression model in steps based on statistical algorithms. Only indicators that significantly improve the overall model fit (R square change) will be retained for the final model of children's psychosocial life.

Step 2: Building a structural equation model and testing how psychosocial life mediates the effect of PoC on adherence and viral load.

Following the RCT design, the goal of this analysis is to measure how psychosocial life indicators mediate the PoC effect on adherence and viral load. An initial hypothetical psychosocial life model will be developed based on variables proved to have the most predictive power obtained from phase one and a synthesis of the empirical literature. The outcome variable will be the change in adherence and viral load separately (difference between baseline and endline data). From the main study (WP1) we assume that PoC improves the medical adherence of children with HIV. We also hypothesize that PoC will improve psychosocial life indicators and that better psychosocial life improves medical adherence and viral load.

Three different types of mediational model will be verified to test the potential mediating role of psychosocial life on the relationship between PoC and medication adherence: (a) a single mediator model, (b) multiple parallel mediator model, and (c) SEM model considering psychosocial life as a latent variable indicated by selected indicators.

Study Type

Interventional

Enrollment (Actual)

956

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Kisumu, Kenya
        • Kenya Medical Research Institute
      • Kigali, Rwanda
        • University of Rwanda
      • Dar es Salaam, Tanzania
        • Management and Development for Health
      • Dar es Salaam, Tanzania
        • National Institute of Medical Research
      • Moshi, Tanzania
        • Kilimanjaro Clinical Research Institute
      • Entebbe, Uganda
        • MRC/UVRI and LSHTM
      • Entebbe, Uganda
        • Unhro/ Uvri

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 months to 19 years (Child, Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Age 6 months - 24 years
  • Documented evidence of HIV infection
  • Receiving ART for treatment of HIV infection for at least 6 months.
  • Has had a detectable VL of >1000 copies/ml in the last 6 months.
  • Guardian, parent or legal representative able and willing to give voluntary consent and sign/mark an informed consent document.
  • Willing and able to comply with protocol requirements/study procedures.

Exclusion Criteria:

  • Any medical conditions that require pausing of ART for more than three months.
  • Potential participant already enrolled in another study which may interfere with the study outcome or participation as per investigator's judgement.
  • Child, adolescent or young person already enrolled and completed follow up in the current study.
  • Any medical or other condition in the potential participant or their parent/ guardian that precludes provision of informed consent/ assent or that may hinder achieving study objectives as per investigator's judgement.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control
Use of the standard of care viral load monitoring (centralized viral load monitoring)
Experimental: Intervention
Use of point of care viral load monitoring (initially Abbott PoC devices, then changed to Cepheid Gene Xpert)
Point of care viral load monitoring

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The time between enrolment into the study and viral suppression.
Time Frame: 36 months
The time between enrolment into the study and viral suppression.
36 months
The proportion of children, adolescents and young people living with HIV that achieves viral suppression at 6 and 12 months of follow-up.
Time Frame: 36 months
The proportion of children, adolescents and young people living with HIV that achieves viral suppression at 6 and 12 months of follow-up
36 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The time between enrolment into the study and initiation of intensive adherence counselling following virological failure.
Time Frame: 36 months
The time between enrolment into the study and initiation of intensive adherence counselling following virological failure.
36 months
The proportion of children, adolescents and young people living with HIV that experiences virological rebound after initial suppression within 6 and 12 months of follow-up
Time Frame: 36 months
The proportion of children, adolescents and young people living with HIV that experiences virological rebound after initial suppression within 6 and 12 months of follow-up
36 months
The proportion of children, adolescents and young people living with HIV that experiences change of ART regimen within 6 and 12 months of follow-up
Time Frame: 36 months
The proportion of children, adolescents and young people living with HIV that experiences change of ART regimen within 6 and 12 months of follow-up
36 months
The proportion of children, adolescents and young people living with HIV that is retained in care at 6 and 12 months.
Time Frame: 36 months
The proportion of children, adolescents and young people living with HIV that is retained in care at 6 and 12 months.
36 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
The number of factors which may affect the implementation of PoC VL testing and monitoring from the perspective of healthcare workers and policy makers.
Time Frame: 24 months
The number of factors which may affect the implementation of PoC VL testing and monitoring from the perspective of healthcare workers and policy makers.
24 months
The incremental cost-effectiveness of PoC VL from a modified societal perspective
Time Frame: 36 months
The incremental cost-effectiveness of PoC VL from a modified societal perspective
36 months
The proportion of children, adolescents and young people and their care givers who accept implementation of PoC VL testing and monitoring
Time Frame: 36 months
The proportion of children, adolescents and young people and their care givers who accept implementation of PoC VL testing and monitoring.
36 months
The number of potential barriers and facilitators to implementation and scale-up of PoC VL testing and monitoring identified by children, adolescents and young people living with HIV.
Time Frame: 36 months
The number of potential barriers and facilitators to implementation and scale-up of PoC VL testing and monitoring identified by children, adolescents and young people living with HIV.
36 months
A psychometrically validated measurement of the psychosocial life of children, adolescents and young people living with HIV in East Africa
Time Frame: From 12-36 months

Validated psychosocial life questionnaire

The psychosocial life questionnaire consists of eight scales measuring different psychosocial indicators (1.motivational readiness scale, 2.Social support scale, 3.Self-efficacy scale, 4.Stigma scale, 5.Patient health questionnaire-9, 6.General anxiety disorder-7, 7. Alcohol use and 8.Quality of life) and only individual scales will be validated. Validation of three scales will be prioritized (1. Stigma scale, 2. Patient health questionnaire-9 and 3. General anxiety disorder-7) measuring three psychosocial indicators (stigma, depression and anxiety) which are the most important predictors of poor medication adherence in East Africa). Each scale, it will be possible to compute the minimum and maximum scores and the higher the score the worse the psychosocial issue. The minimum - maximum score 18-54 , 9-36 and 7-28 for the Stigma scale, Patient health questionnaire-9 and General anxiety disorder-7, respectively.

From 12-36 months
A novel psychometrically validated user-friendly tablet-based 'Psychosocial Life' game that predicts viral load based on psychosocial life.
Time Frame: From 36-48 months
The psychosocial life game will be developed from eight scales of psychosocial life questionnaire; meaning that the psychosocial life game will consist of eight components / sessions, each measuring a specific psychosocial indicator (motivational readiness, social support, self-efficacy, stigma, depression, anxiety, alcohol use or quality of life) predictive of poor medication adherence and viral load suppression. The psychosocial life game will be deployed to HIV clinics and will serve to diagnose a need for psychosocial support among users (adolescents and young people). The game will also be validated against the observed psychosocial needs of the users (i.e. adolescents and youth).
From 36-48 months
A list of proposed clinical micro-interventions for psychosocial support based on existing best practice.
Time Frame: From 36-48 months
The List of micro-interventions for psychosocial support services will be identified from analysis results of qualitative data collected from the four countries on 'best practices on psychosocial support services provided to children, adolescents and young people living with HIV in East Africa.' The analysis report of qualitative data collected on feasibility and acceptability will be reviewed to identify micro-interventions.
From 36-48 months
A model explaining how psychosocial life indicators mediate the PoC effect on adherence and viral load suppression.
Time Frame: From 36-48 months
Explanatory model of the effect of psychosocial life indicators on the PoC effect on adherence and viral load suppression. In this study, psychosocial life indicators (motivational readiness, social support, stigma, depression, anxiety, alcohol use, self-efficacy, quality of life) are mediating indicators between PoC (dependent / explanatory variable) and medication adherence and viral load suppression (outcome variables). Before conducting analysis to construct the model, there will be a need to first assess if there is PoC effect. Due to small sample size, there will be a need to first check if there is an effect of PoC on viral load suppression.
From 36-48 months
A proof-of-concept of the use of the novel 'psychosocial life' game and associated micro-interventions in clinical settings.
Time Frame: From 36-48 months
Proof-of-concept of the use of the novel 'psychosocial life' game. The proof-of-concept will be produced in form of report a mixed methods study that will be conducted to assess feasibility and acceptability of the use of psychosocial life game considering the perspective of end users
From 36-48 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 19, 2022

Primary Completion (Actual)

April 30, 2025

Study Completion (Actual)

April 30, 2025

Study Registration Dates

First Submitted

September 1, 2021

First Submitted That Met QC Criteria

September 9, 2021

First Posted (Actual)

September 17, 2021

Study Record Updates

Last Update Posted (Estimated)

July 1, 2025

Last Update Submitted That Met QC Criteria

June 26, 2025

Last Verified

June 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • RGPK210909

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual Participant Data will be de-identified so as to make it anonymous. This will then be reported either for individuals (e.g. quotations from qualitative interviews) or for study participants as a group.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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