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A Trial to Assess a Wearable Patch's Functioning to Detect Medication Ingestion

An Open-label, Prospective Trial Assessing Positive Detection Accuracy and Detection Latency Measures of the Miniature Ingestible Event Marker Tablet Using the D-Tect Patch in Healthy Subjects and Assessing Detection Latency Measures Using the D-Tect Patch in Subjects With Serious Mental Illness Taking Abilify MyCite Tablet

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06372210
Enrollment
54
Registered
2024-04-17
Start date
2023-06-26
Completion date
2023-07-19
Last updated
2024-07-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bipolar I Disorder, Major Depressive Disorder, Mental Disorder, Schizophrenia

Keywords

D-Tect patch

Brief summary

The primary purpose of the study is to evaluate the positive detection accuracy (PDA) and detection latency measures of the D-Tect patch.

Detailed description

This is an open-label study to determine the accuracy of ingestible event marker (IEM) detection and detection latency of the D-Tect patch by completing a series of patch applications and IEM ingestions in the clinic. The participants were enrolled in two cohorts within this study- Cohort 1: healthy participants received the placebo-embedded IEM tablets, Cohort 2: participants with serious mental illness (SMI) i.e schizophrenia, major depressive disorder, or bipolar I disorder received Abilify MyCite® tablets (aripiprazole-embedded IEM tablets). This single-center trial was conducted in the United States. The overall time to participate in this study is up to approximately 17 days.

Interventions

DRUGPlacebo IEM tablet

Oral placebo-embedded IEM tablet.

Oral aripiprazole-embedded IEM tablet.

DEVICED-Tect Patch

The D-Tect patch is a wearable sensor (WS) capable of detecting the ingestion of the IEM and measuring physiologic parameters. The WS automatically logs and stores the time when the IEM reaches the stomach and transmits the data to a smartphone.

Sponsors

Otsuka Pharmaceutical Development & Commercialization, Inc.
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

for Cohort 1: * In good general health or medically stable. * Is able and willing to participate in, and adhere to, all testing procedures, both onsite and offsite, for the entire testing. * The participant has access to a telephone for communicating with the trial personnel and for trial personnel to contact the participant. Inclusion Criteria for Cohort 2: * In good general health or medically stable. * Has confirmed diagnosis of schizophrenia, major depressive disorder, or bipolar I disorder per Diagnostic and Statistical Manual of Mental Disorders - 5th Edition (DSM-5) criteria and currently prescribed and taking aripiprazole. * Is able and willing to participate in, and adhere to, all testing procedures, both onsite and offsite, for the entire testing. * Participant has access to a telephone for communicating with the trial personnel and for trial personnel to contact the participant

Exclusion criteria

for Cohort 1 and 2: * Any medical condition, treatment, or symptoms that, in the judgment of the trial clinician, could place the participant at more than the minimal risk from involvement in the testing. * Hospitalization, emergency room visit, surgery or new medical treatment within 30 days before testing begins or planned during testing. * Difficulty with or inability to swallow tablets. * Active skin infection or active dermatitis, or history of chronic inflammatory skin condition including psoriasis and chronic dermatitis (except atopic dermatitis). * The investigator will determine if any participant should be excluded from the trial based on history of, or current, alcohol abuse, drug abuse or use of illegal drugs (e.g., amphetamines or heroin). * Allergy to adhesive bandages/tapes (e.g., Band-Aids®) or latex. * Positive urine pregnancy test at screening visit (dipstick). * Participant is taking any concomitant medication that places the participant at a greater risk for skin reactions or skin sensitivity.

Design outcomes

Primary

MeasureTime frameDescription
Cohort 1: Positive Detection Accuracy (PDA) of D-Tect PatchAt Day 1The PDA is calculated as the number of total positive detections by patch divided by the number of the total DOIs. PDA was estimated by Clopper-Pearson method.
Cohort 1 and 2: Patch Detection Latency PeriodAt Day 1The patch detection latency period is defined as the time between the ingestion of the tablet and the detection of the tablet ingestion by the patch. Kaplan Meier estimation was used to measure the patch detection latency period.
Cohort 1 and 2: Ingestion Data Transfer Latency PeriodAt Day 1The ingestion data transfer latency period is measured as the time between the detection of the tablet ingestion by the patch and the display of ingestion data on the mobile device. Kaplan Meier estimation was used to measure the ingestion data transfer latency period.
Cohort 1 and 2: Total Detection Latency PeriodAt Day 1The total detection latency is measured as the total time between the ingestion of the tablet and the display of ingestion data on the mobile device. Kaplan Meier estimation was used to measure the total detection the latency period.

Secondary

MeasureTime frameDescription
Number of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationFrom Day 1 up to follow-up (up to Day 10)TEAEs were defined as AEs that occurred on or after the participant wears any patch or takes any tablet from the study at test day, and the AEs that occurred before the participant wears any patch or takes any tablet and are worsening, serious, related, or resulted in death, discontinuation, or interruption of investigational product. A serious TEAE was defined as a TEAE that is fatal, life-threatening, results in persistent or significant disability/incapacity, constitutes a congenital anomaly/birth defect, or requires inpatient hospitalization or prolongation of existing hospitalization.

Countries

United States

Participant flow

Recruitment details

Participants took part in this study at a single investigative site in the United States from 26 June 2023 to 19 July 2023.

Pre-assignment details

A total of 54 participants were enrolled in this study and all participants completed the study.

Participants by arm

ArmCount
Cohort 1: D-Tect Patch + Placebo-embedded IEM
A D-Tect patch was applied by the clinical staff prior to the first ingestion of a placebo-embedded IEM tablet. DOIs of 15 placebo-embedded IEM tablets were noted at 15 minute intervals on Day 1.
24
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)
A D-Tect patch was applied by the clinical staff prior to the ingestion of the IEM-embedded Abilify MyCite® tablet. A DOI of a single dose of Abilify MyCite® tablet occurred on Day 1.
30
Total54

Baseline characteristics

CharacteristicCohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)TotalCohort 1: D-Tect Patch + Placebo-embedded IEM
Age, Continuous46.1 years
STANDARD_DEVIATION 12.03
48.2 years
STANDARD_DEVIATION 12.82
50.8 years
STANDARD_DEVIATION 13.56
Ethnicity (NIH/OMB)
Hispanic or Latino
16 Participants20 Participants4 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
14 Participants34 Participants20 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race/Ethnicity, Customized
Race
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race/Ethnicity, Customized
Race
Asian
1 Participants13 Participants12 Participants
Race/Ethnicity, Customized
Race
Black or African American
9 Participants15 Participants6 Participants
Race/Ethnicity, Customized
Race
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race/Ethnicity, Customized
Race
Other
0 Participants0 Participants0 Participants
Race/Ethnicity, Customized
Race
White
20 Participants26 Participants6 Participants
Region of Enrollment
United States
30 Participants54 Participants24 Participants
Sex: Female, Male
Female
10 Participants27 Participants17 Participants
Sex: Female, Male
Male
20 Participants27 Participants7 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 240 / 30
other
Total, other adverse events
7 / 243 / 30
serious
Total, serious adverse events
0 / 240 / 30

Outcome results

Primary

Cohort 1 and 2: Ingestion Data Transfer Latency Period

The ingestion data transfer latency period is measured as the time between the detection of the tablet ingestion by the patch and the display of ingestion data on the mobile device. Kaplan Meier estimation was used to measure the ingestion data transfer latency period.

Time frame: At Day 1

Population: The FAS comprised of all the detections of the wearable sensors done on the participants who took at least 1 dose of MIT (Cohort 1) or Abilify MyCite® (Cohort 2), excluding those detections with device malfunction (invalid session and bad impedance). Overall number of participants analyzed indicates the number of participants with at least one detection.

ArmMeasureValue (MEDIAN)
Cohort 1: D-Tect Patch + Placebo-embedded IEMCohort 1 and 2: Ingestion Data Transfer Latency Period17.0 seconds
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Cohort 1 and 2: Ingestion Data Transfer Latency Period17.0 seconds
Primary

Cohort 1 and 2: Patch Detection Latency Period

The patch detection latency period is defined as the time between the ingestion of the tablet and the detection of the tablet ingestion by the patch. Kaplan Meier estimation was used to measure the patch detection latency period.

Time frame: At Day 1

Population: The FAS comprised of all the detections of the wearable sensors done on the participants who took at least 1 dose of MIT (Cohort 1) or Abilify MyCite® (Cohort 2), excluding those detections with device malfunction (invalid session and bad impedance). Overall number of participants analyzed indicates the number of participants with at least one detection.

ArmMeasureValue (MEDIAN)
Cohort 1: D-Tect Patch + Placebo-embedded IEMCohort 1 and 2: Patch Detection Latency Period53.0 seconds
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Cohort 1 and 2: Patch Detection Latency Period312.0 seconds
Primary

Cohort 1 and 2: Total Detection Latency Period

The total detection latency is measured as the total time between the ingestion of the tablet and the display of ingestion data on the mobile device. Kaplan Meier estimation was used to measure the total detection the latency period.

Time frame: At Day 1

Population: The FAS comprised of all the detections of the wearable sensors done on the participants who took at least 1 dose of MIT (Cohort 1) or Abilify MyCite® (Cohort 2), excluding those detections with device malfunction (invalid session and bad impedance). Overall number of participants analyzed indicates the number of participants with at least one detection.

ArmMeasureValue (MEDIAN)
Cohort 1: D-Tect Patch + Placebo-embedded IEMCohort 1 and 2: Total Detection Latency Period73.0 seconds
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Cohort 1 and 2: Total Detection Latency Period351.0 seconds
Primary

Cohort 1: Positive Detection Accuracy (PDA) of D-Tect Patch

The PDA is calculated as the number of total positive detections by patch divided by the number of the total DOIs. PDA was estimated by Clopper-Pearson method.

Time frame: At Day 1

Population: Full analysis set (FAS) comprised of all the detections of the wearable sensors done on the participants who took at least 1 dose of a miniature ingestible tablet (MIT) (Cohort 1), excluding those detections with device malfunction (invalid session and bad impedance). 'Overall number of participants analyzed' indicates the number of participants with at least one detection in Cohort 1.

ArmMeasureValue (NUMBER)
Cohort 1: D-Tect Patch + Placebo-embedded IEMCohort 1: Positive Detection Accuracy (PDA) of D-Tect Patch100 percentage of detections
Secondary

Number of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study Discontinuation

TEAEs were defined as AEs that occurred on or after the participant wears any patch or takes any tablet from the study at test day, and the AEs that occurred before the participant wears any patch or takes any tablet and are worsening, serious, related, or resulted in death, discontinuation, or interruption of investigational product. A serious TEAE was defined as a TEAE that is fatal, life-threatening, results in persistent or significant disability/incapacity, constitutes a congenital anomaly/birth defect, or requires inpatient hospitalization or prolongation of existing hospitalization.

Time frame: From Day 1 up to follow-up (up to Day 10)

Population: Safety analysis set included all participants who wore any patch or took any tablet from the study and had any safety assessment.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Cohort 1: D-Tect Patch + Placebo-embedded IEMNumber of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With TEAEs7 Participants
Cohort 1: D-Tect Patch + Placebo-embedded IEMNumber of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With Device-related TEAEs5 Participants
Cohort 1: D-Tect Patch + Placebo-embedded IEMNumber of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With Serious TEAEs0 Participants
Cohort 1: D-Tect Patch + Placebo-embedded IEMNumber of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With TEAEs Leading to Study Discontinuation0 Participants
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Number of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With TEAEs Leading to Study Discontinuation0 Participants
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Number of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With TEAEs3 Participants
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Number of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With Serious TEAEs0 Participants
Cohort 2: D-Tect Patch + Abilify MyCite® (Aripiprazole-embedded IEM)Number of Participants With Treatment-Emergent Adverse Events (TEAEs), Device-related TEAEs, Serious TEAEs (SAEs), TEAEs Leading to Study DiscontinuationParticipants With Device-related TEAEs3 Participants

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026