Clinical Trial Details
— Status: Active, not recruiting
Administrative data
NCT number |
NCT05040841 |
Other study ID # |
H-41920 |
Secondary ID |
1R01MH125703-01A |
Status |
Active, not recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
March 9, 2022 |
Est. completion date |
May 2026 |
Study information
Verified date |
June 2024 |
Source |
Boston University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The investigators will implement a 24-month fractional factorial design study (Aim 1). The
investigators will recruit 510 patients initiating antiretroviral therapy (ART) at three City
of Cape Town ART clinics. Each patient will have adherence monitored using the Wisepill®
electronic adherence monitoring device (EAM). After eligibility has been confirmed, each
participant will be randomized to one of 16 experimental conditions. Each condition includes
a unique combination of five adherence intervention components. Three of these components
focus on identifying individuals with poor adherence, with increasing degrees of
sophistication, with immediate linkage to adherence support. Two components focus on
supporting good adherence. They both supplement the existing adherence support program
delivered at the study clinics operated by City of Cape Town (standard of care component).
Based on Self-Determination Theory, the investigators postulate these intervention components
will: 1) enhance feelings of autonomy support, social support, and knowledge; 2) improve
motivation and self-competence; and 3) increase ART retention, adherence, and viral
suppression. A subset of the participants, as well as clinic staff, will be invited to
in-depth interviews to explore mediating factors (Aim 1) and the implementation process (Aim
2); and the data collected in Aims 1 and 2 will be used to explore cost effectiveness (Aim
3).
Description:
The study's primary research goal is to identify the optimal combination of evidence-based
and scalable HIV interventions for low-resource, high-burden settings. The investigators
propose to 1) test the relative contribution of five promising intervention components; 2)
collect cost and other implementation data; and 3) create a multi-component intervention
package to optimize cost-effectiveness and implementation success. Of the five components,
three are methods of non-adherence detection plus patient outreach; two are adherence support
methods that can be integrated into Cape Town healthcare systems. These will not overcome all
challenges that ART patients experience (e.g., structural barriers such as food insecurity)
but they represent scalable, feasible, acceptable, and effective options. Notably, they are
all behavioral approaches grounded in the experience and priorities of local health officials
with whom the investigators have worked to identify scaleable interventions. While the study
will be in Cape Town, it is broadly adaptable to other resource-limited settings.
The gold standard for testing interventions is the randomized controlled trial (RCT), which
minimizes bias when testing cause and effect of a new exposure. When testing an intervention
with more than one element, however, untangling the effect of individual elements is
impossible. Indeed, data on the performance of individual components and their
interactions-critical for developing and refining the components of a packaged
intervention-is lost in an RCT. Notably, clinical care typically relies on packages of
services, not single interventions, and packaged interventions are recommended for ART
support. An effective way to test a multi-component intervention is to use the novel
Multiphase Optimization STrategy (MOST), an engineering-inspired method for identifying the
most efficacious combination of components in a packaged intervention, thus allowing
researchers to drop inactive or weakly-performing components and construct an optimized
package based on effect, cost, and other features. Once the optimized multi-component
intervention is chosen, an RCT or quasi-experiment can follow to determine whether the
optimized package yields superior outcomes compared to existing standards. MOST encompasses
three phases: 1) preparation; 2) optimization; and 3) evaluation, often in an RCT. In this
project, we have completed preparation, including a pilot study in Cape Town. SUSTAIN will
comprise the middle optimization phase. The evaluation phase will be the focus of a future
study.
The specific aims are:
Aim 1. Employ a highly efficient fractional factorial design to determine the effects of five
intervention components on the primary outcome (HIV viral suppression) and secondary outcomes
(ART adherence measured by EAM, ART retention per clinic records, days of unsuppressed virus,
time to nonadherence detection, and time to linkage to support). The investigators will
explore effect mechanisms quantitatively and qualitatively.
Aim 2. Evaluate the intervention components to address implementation, service, and client
outcomes according to the Proctor framework. Data collection will involve tracking of
intervention component use, time and motion studies, and quantitative surveys and qualitative
interviews with participants and staff.
Aim 3. Use the effectiveness data collected in Aim 1 and the implementation and client
outcomes in Aim 2 to model the multi-component intervention optimized for cost-effectiveness
and implementation success.
Study Summary This study is designed to advance the translation of evidence-based
interventions into clinical settings to benefit patients. There is ample evidence on what
works to support ART adherence and retention-much of it from our own research. The
investigators partnered with local officials and clinical staff in Cape Town to review the
evidence and to conduct formative research to identify the most effective, acceptable, and
feasible intervention options for patients and providers. The proposed study represents the
next critical step: the investigators will test the intervention components that emerged from
the formative work, encompassing elements to both rapidly identify nonadherent patients and
to strengthen the support they receive once identified, to provide the data needed to
construct the most cost-effective and sustainable multi-component intervention. The choice of
intervention components will allow a critical test of advanced monitoring technology compared
to simpler tools to identify nonadherence. By using an innovative MOST design to guide
collection and analysis of efficacy, cost, and other implementation data, the study aligns
with NIH's goals of using novel scientific methods to advance implementation science.