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CompletedNCT04535583D-TECTUpdated Nov 15, 2023Results posted

Harnessing Digital Health to Understand Clinical Trajectories of Opioid Use Disorder

An observational study in Opioid-use Disorder, sponsored by Dartmouth-Hitchcock Medical Center. Completed at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-11-15.

Sponsored by Dartmouth-Hitchcock Medical Center · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
65
Ages
18 Years and older
Sex
All
01

Study summary

The main objective of the study is to evaluate the feasibility of utilizing digital health technology with opioid use disorder (OUD) patients as measured by a 12-week period of continuous assessment using smartphone surveys and digital sensing. In addition, we will examine the utility of 3 types of digital data (Ecological Momentary Assessment (EMA); Digital sensing; and social media data) in predicting OUD treatment retention and buprenorphine medication adherence.

Read the detailed description

This is an observational study designed to (1) evaluate the feasibility and utility of digital health technology in a Medication for Opioid Use Disorder (MOUD) treatment population, and (2) capitalize on the availability of Electronic Health Record (EHR) data to relate passive and active sensing data to treatment retention and medication adherence.

Eligible participants are identified through EHR records, sent an invitational letter through secure message, and then called to recruit and screen. Following verbal consent to screen, research staff will perform a screening assessment over the phone/video to determine preliminary study eligibility prior to scheduling the baseline phone/video appointments. Following electronic signed informed consent, participants will be asked to complete an interviewer administered Baseline assessment. In addition to the screening and baseline assessments, the participants will be asked to wear a smartwatch and carry a smartphone continuously for a period of 12 weeks. Smartphone and smartwatch data will be passively collected. In addition, participants will be prompted to respond to questions through a smartphone (i.e., Ecological Momentary Assessment (EMA)) 3 times daily for 12 weeks. In addition to the EMA prompts, individuals will be asked to self-initiate EMAs if substance use occurred.

After the 12-week active study phase, participants will be asked to complete a follow-up phone/video appointment.

EHR and medical claims data will be extracted 16 weeks after study completion (data will be collected 12 months prior to EMA start through 12 weeks after EMA start).

For those who consent to the optional social media component, social media data will be downloaded by the participant directly from the social media platform to a secure server using a remote desktop at the beginning of the study and at the end of the study.

02

Conditions studied

  • Opioid-use Disorder

Keywords

  • Opioid Use Disorder
  • Digital Health
  • Substance Use Disorder
  • Social Media
03

In context

Opioid-Related Disorders

1,439 studies on the registry are indexed under Opioid-Related Disorders; 291 are open to participants now.

This study's enrollment of 65 is below the median of 129 across 175 observational studies indexed under Opioid-Related Disorders.

Browse Opioid-Related Disorders studies →

Lead sponsor

Dartmouth-Hitchcock Medical Center is the lead sponsor of 486 studies on the registry; 69 are open to participants now.

Of its 31 completed or terminated interventional studies of FDA-regulated products, 21 (68%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

This study is recruiting individual who are active in medication treatment for opioid use disorder (MOUD) with buprenorphine for at least 2 weeks.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Have been active in Kaiser outpatient buprenorphine treatment for OUD for the past 2 weeks (determined at screening);
  2. Be ≥18 years old (determined at screening);
  3. Be able to understand English (determined at screening);
  4. Be available to participate in the full duration of the study (12 weeks) (determined at screening);
  5. Have an active email account and willing to provide the email address to researchers (determined at screening);
  6. Permit researchers to access personal electronic health record (EHR) and medical claims data (determined at screening);
  7. Be willing to carry and use personal or study provided smartphone for 12 weeks (determined at screening); and
  8. Be willing to wear a smartwatch continuously (except during pre-defined activities such as showering) for 12 weeks (determined at screening).

Exclusion criteria

Exclusion Criteria:

  1. Are unwilling or unable to provide informed consent (determined during the Consent process and during Consent Quiz); and
  2. Are currently in jail, prison or other overnight facility as required by court of law or have pending legal action that could prevent participation in study activities (determined by Prisoner Status Assessment at each study visit).
05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
65 participants (actual)
Patient registry
No

Groups and cohorts

  • EMA plus passive sensing

    Participants will be responding to up to 3 ecological momentary assessments per day plus carrying a smartphone and wearing a smartwatch. Both the smartphone and smartwatch will passively collect sensor data continuously.

06

What researchers measure

Primary outcomes

  1. Smartphone Sensor Data

    The percentage of days carried the smartphone at least 8 hours per day.

    Time frame: 84 days (or 12-weeks)

Secondary outcomes

  1. Social Media Data

    The percentage of participants who consented to download social media data.

    Time frame: At baseline

  2. The Number of Ecological Momentary Assessments (EMA) With Response

    The response rate to Ecological Momentary Assessment prompts during the 12-week study phase. The EMA Response Rate for each participant is the number of EMAs responded to over the last 83 days of the study (up to 249 responses \[83 days X 3 EMA\]) (yields a percentage). The total mean EMA response rate was based on the EMA response rate (percentage) across all participants in the study (N=62).

    Time frame: up to 3 times per day for 84 days (or 12-weeks)

  3. Smartwatch Sensor Data

    The percentage of days wore the smartwatch at least 18 hours per day.

    Time frame: 84 days (or 12-weeks)

07

Results

Posted Nov 15, 2023

Participant flow

Participant flow — Overall Study
MilestoneEMA Plus Passive Sensing (Social Media Optional)
Started65
Completed62
Not completed3
Withdrew: Lost to follow-up1
Withdrew: Physician decision1
Withdrew: Withdrawal by subject1

Outcome measures

PrimarySmartphone Sensor Data

The percentage of days carried the smartphone at least 8 hours per day.

Time frame:
84 days (or 12-weeks)
Reported as:
Mean · mean percentage of days
Smartphone Sensor Data
mean percentage of daysEMA Plus Passive Sensing (Social Media Optional)
Smartphone Sensor Data94.2 (90.8 to 97.6)
SecondarySocial Media Data

The percentage of participants who consented to download social media data.

Time frame:
At baseline
Reported as:
Count of participants · Participants
Social Media Data
ParticipantsEMA Plus Passive Sensing (Social Media Optional)
Social Media Data49
SecondaryThe Number of Ecological Momentary Assessments (EMA) With Response

The response rate to Ecological Momentary Assessment prompts during the 12-week study phase. The EMA Response Rate for each participant is the number of EMAs responded to over the last 83 days of the study (up to 249 responses \[83 days X 3 EMA\]) (yields a percentage). The total mean EMA response rate was based on the EMA response rate (percentage) across all participants in the study (N=62).

Time frame:
up to 3 times per day for 84 days (or 12-weeks)
Reported as:
Mean · mean percentage of EMA response rate
The Number of Ecological Momentary Assessments (EMA) With Response
mean percentage of EMA response rateEMA Plus Passive Sensing (Social Media Optional)
The Number of Ecological Momentary Assessments (EMA) With Response70.0 (63.5 to 81.4)
SecondarySmartwatch Sensor Data

The percentage of days wore the smartwatch at least 18 hours per day.

Time frame:
84 days (or 12-weeks)
Reported as:
Mean · Mean percentage of days
Smartwatch Sensor Data
Mean percentage of daysEMA Plus Passive Sensing (Social Media Optional)
Smartwatch Sensor Data73.7 (67.7 to 79.7)

Adverse events

Collected over 11 months. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
EMA Plus Passive Sensing (Social Media Optional)1/65 (1.5%)0/65 (0%)5/65 (7.7%)
Most frequent other events
Most frequent other events
EventEMA Plus Passive Sensing (Social Media Optional)
RashSkin and subcutaneous tissue disorders3/65
Suicidal IdeationPsychiatric disorders2/65

Baseline characteristics

Age, Continuous
Age, Continuous(years)EMA Plus Passive Sensing (Social Media Optional)
Mean37.2 ± 13.3
Sex/Gender, Customized
Sex/Gender, Customized(participants)EMA Plus Passive Sensing (Social Media Optional)
Male32
Female31
Other2
Race/Ethnicity, Customized
Race/Ethnicity, Customized(participants)EMA Plus Passive Sensing (Social Media Optional)
White46
Non-white/more than one race19
Hispanic/Latino/of Spanish origin14
Non-Hispanic51
Region of Enrollment
Region of Enrollment(participants)EMA Plus Passive Sensing (Social Media Optional)
United States65
08

Study locations

1 site
  • Kaiser Permanente Northern California, Division of Research
    Oakland, California 94612, United States
09

References and documents

Publications

  • Marsch LA, Chen CH, Adams SR, Asyyed A, Does MB, Hassanpour S, Hichborn E, Jackson-Morris M, Jacobson NC, Jones HK, Kotz D, Lambert-Harris CA, Li Z, McLeman B, Mishra V, Stanger C, Subramaniam G, Wu W, Campbell CI. The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations. Front Psychiatry. 2022 Apr 29;13:871916. doi: 10.3389/fpsyt.2022.871916. eCollection 2022. PubMed 35573377 ↗

Study documents

  • Protocol and statistical analysis plan · Nov 19, 2020

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Yes — A de-identified dataset will be made available by the Principal Investigators upon request.

Supporting information: Study protocol

Time frame: Data will be available after the completion of the study and data lock.

Access criteria: Prior to receiving any study data, researchers/institutions will need to enter into a data sharing agreement with the institution(s) providing the de-identified study data.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 15, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT04535583
Collaborators
National Drug Abuse Treatment Clinical Trials Network, Dartmouth College, Kaiser Permanente, National Institute on Drug Abuse (NIDA)
Responsible party
Lisa A. Marsch (Professor, Dartmouth-Hitchcock Medical Center) — Principal investigator
First posted
Sep 2, 2020
Start date
Jul 23, 2020
Primary completion
Jun 12, 2021
Completion
Sep 21, 2021
Results posted
Nov 15, 2023
Last update
Nov 15, 2023

Study contacts

Lisa A Marsch, PhD
principal investigator · Dartmouth College
Cynthia Campbell, PhD
principal investigator · Kaiser Permanente

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Nov 2023. You cannot join it, but the record below documents what was studied.

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