Accepted for/Published in: JMIR Formative Research
Date Submitted: Apr 17, 2023
Open Peer Review Period: Apr 10, 2023 - Jun 5, 2023
Date Accepted: Jan 11, 2024
(closed for review but you can still tweet)
Development and Evaluation of a Digital Application for Patient Self-Management of Opioid Use Disorder (KIOS): a Usability, Acceptability, and Utility study
ABSTRACT
Background:
Background:
Self-management of opioid use disorder (OUD) is an important component of treatment. Many patients receiving opioid agonist treatment benefit from counseling treatments to help them improve their recovery skills but have insufficient access to counseling support and social support between clinical visits. Many addiction medicine clinicians treating OUD patients do not have good access to counseling referrals for their patients.
Objective:
Objective:
Conduct an acceptability and utility pilot study of the KIOS application to address these clinical needs.
Methods:
Methods:
We developed a unique, patient-centered computational software system (KIOS) to assist in managing OUD. KIOS tracks interacting symptoms to determine the patient’s individual trajectory then provides specific behavioral advice to help the person manage their unique levels of craving, depressed mood, anxiety, and other self-reported symptoms. This differentiates KIOS from other mHealth apps that use more general cognitive behavioral therapy (CBT) modules for substance use treatment education. KIOS also provides analytics that can be used by patients, clinicians, and researchers to track outcomes.
Results:
Results:
In a 4-week acceptability and utility pilot study of 15 methadone-maintained OUD patients, user experience, usability and software-generated advice received high assessment scores. The KIOS clinical variables closely correlated with ratings of craving. Therefore, managing these variables with advice generated by the KIOS software could have a significant impact on craving and ultimately substance use.
Conclusions:
Conclusions:
KIOS use was associated with a very positive user experience. It tracks important clinical variables and generates advice specifically relevant to the patient’s current clinical state. KIOS may be useful to augment in-person treatment of opioid agonist patients and help fill treatment gaps that currently exist in the continuum of care. A NIDA funded, randomized controlled trial of KIOS to augment in-person treatment of OUD patients is currently being conducted. Clinical Trial: no. pilot acceptability and utility trial
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