HIV/AIDS Clinical Trial
Official title:
Measuring and Monitoring Adherence to ART With Pill Ingestible Sensor System
Verified date | December 2021 |
Source | University of California, Los Angeles |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Introduction of antiretroviral therapy (ART) has transformed HIV-infection from a fatal to manageable disease but adherence to ART remains critical to optimize outcomes. Existing measures of ART adherence provide only inferred measures of actual drug intake and most offer no real-time notification capability. Directly observed therapy measures actual drug intake but is not practical. These limitations constrain research into medication adherence and more importantly, limit our ability to develop real-time interventions based on feasible, in vivo monitoring of adherence among HIV-infected people to facilitate medication-taking. The Proteus digital health feedback (PDHF) system, a pill ingestible sensor based adherence measuring and monitoring system developed by Proteus Digital Health, addresses these limitations. It involves use of an ingestible sensor, a tiny edible material that is over-encapsulated along with prescribed medication. The sensor is activated by ingestion and is sensed by a patch worn by the patient with an embedded monitor and sensor. The monitor sends a Bluetooth signal to a mobile device, which in turn sends an encrypted message to a central server, thus effecting real-time monitoring that a dose has been taken. The investigators propose to develop a data receiving hub and add to these components an automated text message that is sent to the patient when a dose is missed. The investigators will evaluate the feasibility, acceptability and sustainability of using the PDHF system; assess the accuracy of the PDHF system in measuring adherence to ART; and evaluate the efficacy of the PDHF system for monitoring and leveraging adherence to ART.
Status | Completed |
Enrollment | 130 |
Est. completion date | October 15, 2020 |
Est. primary completion date | October 15, 2020 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 17 Years and older |
Eligibility | 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 |
Country | Name | City | State |
---|---|---|---|
United States | LA BioMed | Los Angeles | California |
Lead Sponsor | Collaborator |
---|---|
University of California, Los Angeles | University of Nebraska, Yale University |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Adherence Measured by Sensor by Percentage of Prescribed Medications Taken | Adherence to antiretroviral therapy (ART) measured by Proteus digital health feedback (PDHF) system for 16 weeks, including percent of prescribed medication taken. | Adherence to ART measured by PDHF system for 16 weeks | |
Primary | Pharmacokinetic Adherence by Integrated Pharmacokinetic Adherence Score | 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. | |
Primary | Self-Reported Medication Adherence and "Change" Over Time | 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. | Self-report adherence will be measured at baseline, and weeks 4, 8, 12, 16, 20, 24, and 28. | |
Secondary | Viral Load | Viral Load will be measured at baseline, weeks 4, 8, 12, 16, and 28. | Baseline, weeks 4, 8, 12, 16, and 28. | |
Secondary | Cluster of Differentiation 4 (CD4) | 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. | on: CD4 will be measured at baseline, weeks 4, 8, 12, 16, and 28. |
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