Delivering information about medication assisted treatment to individuals who misuse opioids through a mobile app: a pilot study

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...

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Veröffentlicht in:Journal of public health (Oxford, England) England), 2020-02, Vol.42 (1), p.149-154
Hauptverfasser: Cavazos-Rehg, Patricia A, Krauss, Melissa J, Costello, Shaina J, Ramsey, Alex T, Petkas, Demetrie, Gunderson, Sean, Bierut, Laura J, Marsch, Lisa A
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Sprache:eng
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Zusammenfassung: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.
ISSN:1741-3842
1741-3850
DOI:10.1093/pubmed/fdy207