Measuring and Monitoring Adherence to ART With Pill Ingestible Sensor System
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
Los Angeles, California, United States, 90095
- LA BioMed
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- HIV-infected individuals in HIV care
- greater than 17 years of age
- demonstrated ability to take over-encapsulated ARVs at time of screening; able to provide informed consent
- On ART with sub-optimal adherence estimated by either patient (self-reports < 90% adherence over last 28 days) or treating clinician (e.g., based on gaps in treatment (e.g., missed appointments) or viral load elevations within last 6 months)
Exclusion Criteria:
- Inability to follow the study procedures manifested during the intake, as evidenced by mental confusion, disorganization, intoxication, withdrawal, risky or threatening behavior
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention
Building on the available Proteus devices, the investigators will design and create a Proteus digital health feedback (PDHF) system to transmit the adherence data using mobile technology to allow treatment monitoring that is, direct confirmation of the type, dose, date and time of oral pharmaceutical ingestion using wirelessly observed therapy (WOT). The investigators will test overall utility (including feasibility, acceptability and sustainability) of the PDHF system, its accuracy for measuring adherence and its impact on enhancing patients' level of adherence and the effect on virologic and clinical outcomes (exploratory), the retention of its impact on keeping up with adherence and improvement of plasma HIV RNA and CD4 cell count after the 16-week usage of the PDHF system. |
Building on the available Proteus devices, the investigators will design and create a PDHF system to transmit the adherence data using mobile technology to allow treatment monitoring that is, direct confirmation of the type, dose, date and time of oral pharmaceutical ingestion using wirelessly observed therapy (WOT).
|
|
No Intervention: Control
UC is chosen as the control condition because it meets ethical and moral requirements to attempt treatment.
Eligible patients will be randomized to one of the two conditions using a stratified urn randomization procedure to increase the likelihood of balanced allocation of prognostic variables at baseline.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Adherence Measured by Sensor by Percentage of Prescribed Medications Taken
Time Frame: Adherence to ART measured by PDHF system for 16 weeks
|
Adherence to antiretroviral therapy (ART) measured by Proteus digital health feedback (PDHF) system for 16 weeks, including percent of prescribed medication taken.
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Adherence to ART measured by PDHF system for 16 weeks
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|
Pharmacokinetic Adherence by Integrated Pharmacokinetic Adherence Score
Time Frame: Blood samples will be obtained in all participants before and 2 and 6 hours following an observed dose (baseline) and then at weeks 4, 8, 12, 16, 20, 24 and 28.
|
The plasma concentration-time data of tenofovir (TFV) from participants who have a tenofovir alafenamide (TAF) in their regimen are used to quantify intra-patient pharmacokinetic (PK) variability as a measure of adherence.
Plasma concentrations of TFV are measured by liquid chromatography/tandem mass spectrometry.
A population PK model will be developed using a nonlinear mixed-effects approach with data from all the time points.
The integrated PK adherence score (IPAM) will be calculated.
The IPAM score ranges from 0 to 1.
A high score indicates high concentration predictability and relatively higher adherence, while a low score indicates low predictability and lower adherence.
|
Blood samples will be obtained in all participants before and 2 and 6 hours following an observed dose (baseline) and then at weeks 4, 8, 12, 16, 20, 24 and 28.
|
|
Self-Reported Medication Adherence and "Change" Over Time
Time Frame: Self-report adherence will be measured at baseline, and weeks 4, 8, 12, 16, 20, 24, and 28.
|
The investigators will use a widely-used measure of self-reported adherence for percent of prescribed dose taken during the preceding seven days.
This tool is easy to use and has been significantly associated with virological and immunological outcomes.
Due to its potential bias, self-reported adherence will be calibrated by drug level concentration to leverage its accuracy and used in analysis when calibrated self-report adherence is appropriate to be used.
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Self-report adherence will be measured at baseline, and weeks 4, 8, 12, 16, 20, 24, and 28.
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Viral Load
Time Frame: Baseline, weeks 4, 8, 12, 16, and 28.
|
Viral Load will be measured at baseline, weeks 4, 8, 12, 16, and 28.
|
Baseline, weeks 4, 8, 12, 16, and 28.
|
|
Cluster of Differentiation 4 (CD4)
Time Frame: on: CD4 will be measured at baseline, weeks 4, 8, 12, 16, and 28.
|
CD4 cell count is a test that measures the number of CD4 cells (a type of the human T-lymphocyte cells) in a HIV patient's blood.
The absolute CD4 cell count is measured by a simple blood test, the results of which are reported as the number of CD4 cells per cubic millimeter of blood.
HIV-negative people typically have absolute CD4 cell counts between 600 and 1200 cells per cubic millimeter.
HIV is a fatal infection, characterized by the targeting and destruction of CD4 cells.
People with advanced HIV can have 200 or fewer CD4 cells per cubic millimeter.
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on: CD4 will be measured at baseline, weeks 4, 8, 12, 16, and 28.
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Honghu Liu, PhD, University of California, Los Angeles
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- RNA Virus Infections
- Virus Diseases
- Infections
- Blood-Borne Infections
- Communicable Diseases
- Sexually Transmitted Diseases, Viral
- Sexually Transmitted Diseases
- Lentivirus Infections
- Retroviridae Infections
- Immunologic Deficiency Syndromes
- Immune System Diseases
- Slow Virus Diseases
- HIV Infections
- Acquired Immunodeficiency Syndrome
Other Study ID Numbers
Other Study ID Numbers
- 1R01MH110056 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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