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Delivering information about medication assisted treatment to individuals who misuse opioids through a mobile app: a pilot study.
- Source :
- Journal of Public Health; Mar2020, Vol. 42 Issue 1, p149-154, 6p
- Publication Year :
- 2020
-
Abstract
- Background Digital therapeutic tools (e.g. mobile applications) can be accessible, low-cost interventions that counter misconceptions about medication assisted treatment (MAT) and/or improve deficits in MAT knowledge that are common barriers to treatment entry among individuals with opioid dependence. The purpose of this pilot study was to examine the preliminary effectiveness of a mobile application, 'uMAT-R', that includes health information about OUD recovery supported by science and MAT benefits. Methods Twenty-six adult participants with OUD recruited via social media completed all modules and pre/post-assessments within uMAT-R. McNemar's test was used to compare interest in treatment before and after completing the app, and paired t tests were used to compare MAT attitude scores before and after completing the modules within uMAT-R. Results Before viewing uMAT-R, 32% agreed/strongly agreed that they were interested in starting treatment to recover from opioid misuse, compared to 48% after completing uMAT-R. The average scores on the MAT attitudes scale and its Aid to Behavior Change subscale improved from before to after viewing uMAT-R. Among the participants, 88% felt that uMAT-R would be useful to consult when making decisions about recovery. Conclusions Our encouraging pilot findings support the use of uMAT-R to help address the current opioid epidemic. [ABSTRACT FROM AUTHOR]
- Subjects :
- SUBSTANCE abuse treatment
ATTITUDE (Psychology)
BEHAVIOR modification
BUPRENORPHINE
CONVALESCENCE
HEALTH
HEALTH promotion
METHADONE hydrochloride
NARCOTICS
QUESTIONNAIRES
RESEARCH funding
SELF-evaluation
STATISTICAL hypothesis testing
SUBSTANCE abuse
T-test (Statistics)
TELEMEDICINE
THERAPEUTICS
INFORMATION resources
PILOT projects
DATA analysis
PRE-tests & post-tests
MOBILE apps
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 17413842
- Volume :
- 42
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 142126145
- Full Text :
- https://doi.org/10.1093/pubmed/fdy207