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Opioid Dispensing Device for Post-Operative Pain in Cancer Patients

Efficacy of a Pill-Dispensing System to Increase Disposal of Unused Opioids and to Reduce Refills After Cancer-Related Surgery

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05585788
Enrollment
140
Registered
2022-10-19
Start date
2020-10-05
Completion date
2027-07-01
Last updated
2026-07-10

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

Conditions

Breast Cancer, Opioid Use

Brief summary

This research study will evaluate the use of, and participants experience with, a new device called Addinex that safely stores and dispenses opioid medication. The purpose of this study is to evaluate the use of the Addinex device in cancer patients undergoing cancer-related surgery that require pain control with opioids after the surgery. Participants will be asked to answer questions about their medical history and background, fill out questionnaires, use a mobile application associated with the device, and undergo a phone interview one month after stopping use of the device. This study aims to find out how participants like using the Addinex device as opposed to a traditional pill bottle. Results of this study will help determine if the Addinex device could be useful to patients in the future after surgeries, as opposed to typical pill bottles.

Detailed description

This is a non-randomized pilot study to test the use of the Addinex system among participants receiving opioids following surgery. The Addinex system is designed to dispense opioid medication to participants on a provider-determined schedule, to track participant use of the device, and to allow for return and disposal of unused opioids. This study will determine the feasibility of using Addinex for these purposes.

Interventions

DEVICEAddinex Device (ADX-27)

The device operates without the use of any electronics, wireless or firmware requirements. This is achieved through its mechanical system which uses a different randomized "passcode" for each dose that is loaded into a circular drum inside the device. The "passcodes" are provided by an online server through either a mobile app, web app, text service or call in service. The online server provides "passcodes" on a request basis, while following instructions set by the treating physicians.

Sponsors

Columbia University
Lead SponsorOTHER
National Institute on Drug Abuse (NIDA)
CollaboratorNIH

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

To assess the impact of a password-protected pill-dispensing system, Addinex, on unused opioid disposal, opioid use, and opioid refills rates after cancer-related surgery.

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

Inclusion criteria

* Adult patients (age greater than or equal to 18 years) * Planned for major cancer-related surgery and expected to receive a postoperative opioid prescription * Must speak English or Spanish * Must have access to a smartphone or an alternative smart device (e.g., iPhone, Android phone, iPad, Surface, etc.). * Co-enrollment in trials involving pharmacologic therapy is allowed

Exclusion criteria

* Patients who are taking opioids daily prior to the surgical procedure * Patients unable to physically utilize the device * Patients unable to self-administer medications * Patients uncomfortable with using iPhone or iPad-based technology

Design outcomes

Primary

MeasureTime frameDescription
Rate of Device Return12 weeksThe rate of device return will be determined by an online logging of returned devices by a medical waste disposal company.
Rate of Unused Pill Disposal12 weeksThe number of unused pills disposed will be deduced based on the number of passwords requested from returned devices.

Secondary

MeasureTime frameDescription
Median Pill Consumption12 weeksMedian opioid consumption will be deduced from the number of password requests. Number, date and time of participant password requests are logged on an online database maintained by Addinex.
Duration of Opioid Use12 weeksOpioid Use Duration will be measured in days and deduced from the dates of password requests. Number, date and time of participant password requests are logged on an online database maintained by Addinex.
Opioid Refill Rate12 weeksOpioid refill rates will be determined through review of electronic medical records and state prescription monitoring programs.
Change in Brief Pain Inventory (BPI) Score Baseline and 3 DaysBaseline and Day 3The quality of pain control will be measured using BPI, which measures two domains: pain severity and pain interference on daily activities. Scores range from 0 to 10 with lower score indicating a better outcome.
Change in Brief Pain Inventory (BPI) Score Baseline and 7 DaysBaseline and Day 7The quality of pain control will be measured using BPI, which measures two domains: pain severity and pain interference on daily activities. Scores range from 0 to 10 with lower score indicating a better outcome.
Change in Brief Pain Inventory (BPI) Score Baseline and 3 WeeksBaseline and Week 3The quality of pain control will be measured using BPI, which measures two domains: pain severity and pain interference on daily activities. Scores range from 0 to 10 with lower score indicating a better outcome.
Post Study System Usability Questionnaire (PSSUQ) Score3 weeksDevice usability will be measured by the PSSUQ questionnaire, a 19-item scale. Scores range from 1 (strongly agree) to 7 (strongly disagree) with lower score indicating greater usability.
Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM) Scores3 weeksAcceptability, appropriateness, and feasibility will be measured by combining AIM, IAM, and FIM scale scores. The combination of these scales demonstrates strong psychometric properties and is being used in other cancer-related and technology-based intervention research. Scores range from 1 (Strongly Disagree) to 5 (Completely Agree) with a higher score indicating a better outcome.

Countries

United States

Contacts

CONTACTResearch Nurse Navigator
cancerclinicaltrials@cumc.columbia.edu212-342-5162
PRINCIPAL_INVESTIGATORDawn Hershman, MD

Columbia University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 11, 2026