Viral Load Triggered ART Care in Lesotho (VITAL)

Assessment of a Viral Load Result-driven Automated Differentiated Service Delivery Model for Participants Taking Antiretroviral Therapy in Lesotho

This cluster randomized clinical trial at 18 nurse-led rural health centers in Lesotho will test an automated differentiated service delivery model using viral load results, other clinical characteristics and participants' preference to automatically triage participants into groups requiring different levels of attention and care.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Detailed Description

To sustainably provide good quality care to increasing numbers of people living with HIV (PLHIV) receiving antiretroviral therapy (ART), care delivery has to shift from a "one-size-fits-all" approach to differentiated care models. Such models should reallocate resources from patients who are doing well to patient groups who may need more attention, such as those with treatment failure or medical and psycho-social problems. Ideally, such a reallocation allows health systems and patients to save resources while improving quality of care.

One proposed approach to differentiate care and intensity of monitoring is viral load-driven differentiated service delivery. Reducing the intensity of monitoring in patients with suppressed viral load (VL) and no other clinical problems would substantially reduce the workload at health care facilities and save time and transport cost for patients, thus potentially improve long-term engagement in care. Time and resources saved in patients with suppressed VL and no other clinical problems would allow focusing on those participants with elevated viral load and/or other clinical problems (like tuberculosis, which is the most common cause of mortality among PLHIV in sub-Saharan Africa). This may potentially improve PLHIVs' clinical outcome through intensified adherence support, clinical follow-up and timely switches to second-line ART. In many settings in sub-Saharan Africa, however, the potential of VL monitoring to differentiate care is not exploited and thus constitutes a missed opportunity. In Lesotho it was shown that the majority of unsuppressed VLs are not acted upon in a timely manner, be it due to providers and patients not being aware of the results or health care providers not being proficient in the management of treatment failure.

The concept of the proposed automated differentiated service delivery model (aDSDM) is to use VL results, other clinical characteristics (TB screening results and CD4 cell counts) and participants' preference to automatically triage participants into groups requiring different levels of attention and care. Innovatively, triaging of participants will be done automatically capitalising on an existing VL database platform. The implemented aDSDM will differentiate care according to three elements:

  • clinical characteristics (with focus on VL measurement)
  • sub-population (women, men)
  • participants' and health care providers' preferences

To ensure effective flow of information, VL results and other relevant information is sent directly to participants' phones, whereas health care providers receive results directly on their study tablet together with the recommended action. Further features of the platform are preference-based tailored adherence reminders and automated calls to participants for symptomatic tuberculosis screening. The proposed aDSDM is designed for being scaled up at national and regional level as it mainly builds on automated triage and communication with participants and health care workers, thus not requiring additional human resources.

Study Type

Interventional

Enrollment (Actual)

5809

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

      • Butha-Buthe, Lesotho
        • Muela Health Center
      • Butha-Buthe, Lesotho
        • St. Peters Health Center
      • Butha-Buthe, Lesotho
        • Boiketsiso Health Center
      • Butha-Buthe, Lesotho
        • Linakeng Health Center
      • Butha-Buthe, Lesotho
        • Makhunoane Health Center
      • Butha-Buthe, Lesotho
        • Motete Health Center
      • Butha-Buthe, Lesotho
        • Ngoajane Health Center
      • Butha-Buthe, Lesotho
        • Rampai Health Center
      • Butha-Buthe, Lesotho
        • St Paul Health Center
      • Butha-Buthe, Lesotho
        • Tsime Health Center
      • Mokhotlong, Lesotho
        • Libibing
      • Mokhotlong, Lesotho
        • Linakaneng health center
      • Mokhotlong, Lesotho
        • Malefiloane health center
      • Mokhotlong, Lesotho
        • Mapholaneng
      • Mokhotlong, Lesotho
        • Moeketsane
      • Mokhotlong, Lesotho
        • Molikaliko health center
      • Mokhotlong, Lesotho
        • St. James
      • Mokhotlong, Lesotho
        • St. Martins

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

On an individual level, the inclusion criteria for the VITAL trial are the following:

  • Taking antiretroviral therapy (independent of viral suppression)
  • ≥ 18 years old
  • Written informed consent
  • intention to remain in the same facility for the duration of the trial
  • not enrolled in another study if judged as non-compatible by the (Local) Principal Investigator

On a cluster level, inclusion criteria for the VITAL trial are the following:

  • nurse-led public or missionary clinic in the districts of Butha-Buthe and Mokhotlong
  • consent of clinic management (signed agreement with clinic management)
  • access to the internet (internet connection must not be constant, but there must be possibility to down- and upload information daily)
  • the clinic sends VL samples to Butha-Buthe laboratory for analysis

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: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention
Clusters in the intervention arm receive the VITAL intervention (see intervention)

The concept of the VITAL, an automated differentiated service delivery model (aDSDM), is to use viral load results, other clinical characteristics (TB screening results and CD4 cell counts, comorbidities) and participants' preference to automatically triage participants into groups requiring different levels of attention and care. Innovatively, triaging of participants will be done automatically making use of a dedicated mobile App and a viral load database platform.

To ensure effective flow of information and empowerment of patients, viral load results and other relevant information is sent directly to participants' phones, whereas health care providers receive results directly on their study tablet together with the recommended action. Further features of the platform are preference-based tailored adherence reminders and automated calls to participants for symptomatic tuberculosis screening.

Other Names:
  • automated differentiated service delivery
No Intervention: Control
Clusters in the control arm continue standard of care.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Engagement in care with documented viral suppression
Time Frame: 16-28 months after enrollment
Proportion of participants engaged in care (defined as documented visit attendance) with documented viral suppression (<20 copies/mL) 24 months (16-28 months) after enrollment
16-28 months after enrollment

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Viral re-suppression
Time Frame: 16-28 months after enrollment
Proportion of participants with viral re-suppression (<20 copies/mL) 24 months (16-28 months) after enrollment among all participants with an unsuppressed VL (≥ 20 copies/mL) during the first 12 months of follow-up
16-28 months after enrollment
Sustained viral suppression
Time Frame: 16-28 months after enrollment
Proportion of participants with sustained viral suppression (defined as >1 VL <20 copies/mL) during 24 months (16-28 months) follow-up
16-28 months after enrollment
Mortality rate
Time Frame: at 12 and 24 months after enrollment
at 12 and 24 months after enrollment
Proportion of participants with confirmed TB diagnosis
Time Frame: at 12 and 24 months after enrollment
at 12 and 24 months after enrollment
Disengagement from care
Time Frame: at 12 and 24 months after enrollment
Proportion of participants disengaged from care (defined as no documented visit attendance) at 12 months (8-16 months) and 24 months (16-28 months) after enrollment
at 12 and 24 months after enrollment
Time to follow-up viral load in case of an unsuppressed VL (≥ 20 copies/mL)
Time Frame: at 24 months after enrollment
at 24 months after enrollment
Time to switch of ART regimen in case of virologic failure
Time Frame: at 24 months after enrollment
at 24 months after enrollment
Rate of clinic visits
Time Frame: at 24 months after enrollment
at 24 months after enrollment
Proportion of participants switched to second-line ART
Time Frame: at 12 and 24 months after enrollment
Proportion of participants switched to second-line ART at 12 and 24 months among participants with virologic failure
at 12 and 24 months after enrollment
Proportion of participants diagnosed with TB
Time Frame: at 12 and 24 months after enrollment
at 12 and 24 months after enrollment
Proportion of participants receiving a course of TPT
Time Frame: at 24 months after enrollment
at 24 months after enrollment

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportion of participants requesting a VL result notification through SMS
Time Frame: at 24 months after enrollment
in intervention clusters
at 24 months after enrollment
Proportion of SMS delivered successfully
Time Frame: at 24 months after enrollment
in intervention clusters
at 24 months after enrollment
Proportion of participants using the call-back option through District ART Nurse
Time Frame: at 24 months after enrollment
in intervention clusters
at 24 months after enrollment
Proportion of participants screened positive fo TB by automated call
Time Frame: at 24 months after enrollment
in intervention clusters
at 24 months after enrollment
Proportion of participants appreciating the automated differentiated service deliver model
Time Frame: at 24 months after enrollment
in intervention clusters
at 24 months after enrollment
Proportion of health care providers appreciating the automated differentiated service delivery model
Time Frame: at 24 months after enrollment
in intervention clusters
at 24 months after enrollment

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.

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)

October 14, 2020

Primary Completion (Anticipated)

July 1, 2024

Study Completion (Anticipated)

July 1, 2024

Study Registration Dates

First Submitted

March 9, 2020

First Submitted That Met QC Criteria

August 21, 2020

First Posted (Actual)

August 27, 2020

Study Record Updates

Last Update Posted (Actual)

May 22, 2023

Last Update Submitted That Met QC Criteria

May 19, 2023

Last Verified

May 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Sharing Time Frame

At publication of primary endpoint

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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