NCT04462250

Brief Summary

A key driver of the current opioid overdose epidemic is the misuse of legitimately prescribed opioid medications. Patient education through use of mobile technology may help to increase knowledge of appropriate use of opioid medications; however, knowledge does not always translate into behavior modification. Therefore, there is a need for more research into patient-facing technology that can increase both knowledge and behaviors consistent with appropriate opioid use. These needs have been amplified by the severe acute respiratory syndrome coronavirus-2 (COVID-19) pandemic, which has exposed healthcare disparities, heightened the risk for mental and behavioral health disorders, and dramatically increased reliance on telehealth technologies. It is critically important that telehealth solutions be accessible and user-friendly for all consumers, particularly members of underserved communities with limited digital health literacy. This feasibility study will develop a mobile health app to improve appropriate use of opioid medications among patients with a prescription to treat non-cancer pain. The study will use focus groups with consumers and providers to determine the content and features to be included in the app and will test the feasibility of implementing a contingency management approach (i.e., rewards system) with the app using a randomized control trial. The key outcome of interest is confirmation of the design and operating specifications of the app, including the use of contingency management. Secondary outcomes of interest are the overall rating of the app and an increase in knowledge among users regarding the safe use, storage, and disposal of opioid medications.

Trial Health

30
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Timeline
Completed

Started Aug 2020

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
withdrawn

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 1, 2020

Completed
7 days until next milestone

First Posted

Study publicly available on registry

July 8, 2020

Completed
2 months until next milestone

Study Start

First participant enrolled

August 24, 2020

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

February 28, 2021

Completed
Last Updated

April 16, 2026

Status Verified

April 1, 2026

Enrollment Period

6 months

First QC Date

July 1, 2020

Last Update Submit

April 13, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Device functionality

    Confirmation that the app features work as intended based on user input

    Assessed at the end of the one-week trial

Secondary Outcomes (2)

  • Mobile App Rating Scale (MARS)

    Data collected through app and telephone interviews at the end of the one-week trial

  • Change in knowledge quiz score

    Change in score as assessed at the end of the one-week trial

Study Arms (3)

Control

ACTIVE COMPARATOR

Subjects will use the smartphone app to manage use of prescribed opioid medications to earn points but there will be no reward provided.

Device: Prescription Opioid Management App

Contingency Management - Virtual Pet

ACTIVE COMPARATOR

Subjects will use the smartphone app to manage use of prescribed opioid medications to earn points, which can be used in the care of a virtual pet.

Device: Prescription Opioid Management App

Contingency Management - Monetary

ACTIVE COMPARATOR

Subjects will use the smartphone app to manage use of prescribed opioid medications to earn points, which will be paid out at the end of the one-week trial in the form of a monetary reward.

Device: Prescription Opioid Management App

Interventions

Smartphone application that provides education and reinforcement of safe opioid use, storage, and disposal

Contingency Management - MonetaryContingency Management - Virtual PetControl

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Has current prescription for opioid medication
  • Any ethnic group
  • Served through the following programs of partnering organization: primary medical care, transgender medical care, HIV and sexually transmitted infection (STI) screening and counseling, LGBTQ services, pre-exposure prophylaxis and post exposure prophylaxis services, health education, clinical research, case management, psychosocial services, nutrition counseling, treatment adherence
  • Owns an Android-base smartphone

You may not qualify if:

  • Unable to provide informed consent
  • Pregnant women
  • Currently being treated for/history of mental health or substance use disorder

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

North Jersey Community Research Initiative

Newark, New Jersey, 07103, United States

Location

Study Officials

  • Ann D Bagchi, PhD,DNP

    Rutgers, The State University of New Jersey

    PRINCIPAL INVESTIGATOR
0

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, INVESTIGATOR
Masking Details
Participants will enter all data using a numeric identifier assigned by a third-party recruiter
Purpose
DEVICE FEASIBILITY
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

July 1, 2020

First Posted

July 8, 2020

Study Start

August 24, 2020

Primary Completion

February 28, 2021

Study Completion

February 28, 2021

Last Updated

April 16, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

There is no plan to share individual participant data

Locations