MOBILE HEALTH APPLICATIONS FOR RECOVERY FROM OPIOID ADDICTION IN CALIFORNIA
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2025
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| _version_ | 1866901499610660864 |
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| author | Adejumo, Benjamin |
| author_facet | Adejumo, Benjamin |
| contents | <p><span>This study examined the creation and assessment of mobile health (mHealth) applications aimed at facilitating opioid addiction recovery in California, emphasizing evidence-based interventions.<span> </span>A total of 196 people with opioid use disorder (OUD) were enrolled and randomized into intervention (n = 98) and control (n = 98) groups, with stratified randomization being used to confirm balanced baseline characteristics.<span> </span>Over 24 weeks, the intervention group, which used a specialized mHealth application, demonstrated considerably higher decreases in opioid usage than the control group.<span> </span>The number of days of opioid use decreased from 8.9 to 2.7 in the intervention group, compared to a reduction from 9.1 to 5.8 in the control group (IRR = 0.46, 95% CI = 0.30–0.70, p < .001).<span> </span>Treatment retention was significantly greater among app users, with 83% continuing on MOUD at week 24, in contrast to 66% in the control group (OR = 2.67, 95% CI = 1.37–5.19, p = .004).<span> </span>Increased application involvement is associated with significantly enhanced retention advantages (OR = 3.55, 95% CI = 1.63–7.72).<span> </span>Secondary outcomes indicated enhanced mental health, evidenced by more significant reductions in PHQ-9 and GAD-7 scores among application users, as well as increased EQ-5D quality-of-life improvements (p = .016). Three engagement trajectories were identified by latent growth modeling, with "high-stable" users attaining the most advantageous outcomes.<span> </span>Thematic analysis of 37 interviews corroborated these findings, emphasizing the motivational impact of real-time feedback, the cultural significance of multilingual communication, privacy safeguards, and the necessity of connectivity for rural participants.<span> </span>The findings indicate that customized, interactive mHealth applications can improve OUD treatment outcomes and mitigate structural obstacles to recovery among various communities in California.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15849157 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MOBILE HEALTH APPLICATIONS FOR RECOVERY FROM OPIOID ADDICTION IN CALIFORNIA Adejumo, Benjamin Mobile Health Applications, Opioid Addiction Recovery, Evidence-Based Interventions. Latent Growth Modeling, Thematic Analysis <p><span>This study examined the creation and assessment of mobile health (mHealth) applications aimed at facilitating opioid addiction recovery in California, emphasizing evidence-based interventions.<span> </span>A total of 196 people with opioid use disorder (OUD) were enrolled and randomized into intervention (n = 98) and control (n = 98) groups, with stratified randomization being used to confirm balanced baseline characteristics.<span> </span>Over 24 weeks, the intervention group, which used a specialized mHealth application, demonstrated considerably higher decreases in opioid usage than the control group.<span> </span>The number of days of opioid use decreased from 8.9 to 2.7 in the intervention group, compared to a reduction from 9.1 to 5.8 in the control group (IRR = 0.46, 95% CI = 0.30–0.70, p < .001).<span> </span>Treatment retention was significantly greater among app users, with 83% continuing on MOUD at week 24, in contrast to 66% in the control group (OR = 2.67, 95% CI = 1.37–5.19, p = .004).<span> </span>Increased application involvement is associated with significantly enhanced retention advantages (OR = 3.55, 95% CI = 1.63–7.72).<span> </span>Secondary outcomes indicated enhanced mental health, evidenced by more significant reductions in PHQ-9 and GAD-7 scores among application users, as well as increased EQ-5D quality-of-life improvements (p = .016). Three engagement trajectories were identified by latent growth modeling, with "high-stable" users attaining the most advantageous outcomes.<span> </span>Thematic analysis of 37 interviews corroborated these findings, emphasizing the motivational impact of real-time feedback, the cultural significance of multilingual communication, privacy safeguards, and the necessity of connectivity for rural participants.<span> </span>The findings indicate that customized, interactive mHealth applications can improve OUD treatment outcomes and mitigate structural obstacles to recovery among various communities in California.</span></p> |
| title | MOBILE HEALTH APPLICATIONS FOR RECOVERY FROM OPIOID ADDICTION IN CALIFORNIA |
| topic | Mobile Health Applications, Opioid Addiction Recovery, Evidence-Based Interventions. Latent Growth Modeling, Thematic Analysis |
| url | https://doi.org/10.5281/zenodo.15849157 |