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Digital health interventions offer a promising solution to overcome barriers associated with traditional treatment methods, providing accessible, scalable, and cost-effective means to support individuals in reducing hazardous drinking.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This pilot study aims to evaluate the feasibility, acceptability, and preliminary efficacy of the Sober smartphone app in individuals with hazardous alcohol use.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n This single-group, pre- and postpilot study included 20 participants with risky alcohol use, identified using the Alcohol Use Disorder Identification Test. Participants used the Sober app for 4 weeks, incorporating cognitive behavioral therapy\u2013based interventions. Feasibility was assessed by study and session completion rates, acceptability by participant satisfaction and perceived usefulness, and preliminary efficacy by changes in alcohol consumption and psychiatric symptoms. Semistructured interviews with participants and clinicians provided qualitative perspectives on the app\u2019s usability, efficacy, and areas for improvement.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Of the 20 enrolled participants, 17 completed the study. The app demonstrated high feasibility with an 85% (17\/20) study completion rate, and 59% (10\/17) completed all cognitive behavioral therapy sessions. Participants reported positive acceptability, with average satisfaction and usefulness ratings of 3.8 and 3.7 of 5, respectively. Preliminary efficacy outcomes showed significant improvements: abstinence days increased from 67% to 85% (\n z<\/jats:italic>\n =\u22123.17;\n P<\/jats:italic>\n =.002), heavy drinking episodes decreased from 3.3 to 1.9 (\n t<\/jats:italic>\n 16<\/jats:sub>\n =\u22122.97;\n P<\/jats:italic>\n =.003), and total alcohol consumption reduced from 456.8 to 195.9 mL (\n t<\/jats:italic>\n 16<\/jats:sub>\n =3.16;\n P<\/jats:italic>\n =.002). Alcohol Use Disorder Identification Test scores dropped from 17.5 to 10.7 (\n t<\/jats:italic>\n 16<\/jats:sub>\n =4.51;\n P<\/jats:italic>\n <.001). Additionally, depression (Patient Health Questionnaire-9) scores decreased from 5.8 to 4.4 (\n t<\/jats:italic>\n 16<\/jats:sub>\n =2.91;\n P<\/jats:italic>\n =.01), and anxiety (Generalized Anxiety Disorder-7) scores from 3.4 to 2.1 (\n z<\/jats:italic>\n =\u22122.80;\n P=<\/jats:italic>\n .005). No adverse events were reported. Qualitative analysis found participants valued daily logging but noted usability issues, while clinicians called for tailored goals, enhanced communication features, and age-specific content.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The mobile app Sober shows promise as an effective tool for reducing hazardous alcohol consumption and improving related psychiatric symptoms. The study demonstrated high feasibility and positive acceptability, with significant preliminary efficacy in reducing alcohol use. Qualitative findings provided actionable evidence for refining the app\u2019s usability and clinical integration. Further research through a randomized controlled trial is warranted to confirm these findings and optimize the app\u2019s features and content.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/64459","type":"journal-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T15:05:58Z","timestamp":1733151958000},"page":"e64459-e64459","source":"Crossref","is-referenced-by-count":1,"title":["A Brief Cognitive Behavioral Therapy\u2013Based Digital Intervention for Reducing Hazardous Alcohol Use in South Korea: Development and Prospective Pilot Study"],"prefix":"10.2196","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2125-4275","authenticated-orcid":false,"given":"Manjae","family":"Kwon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3906-4701","authenticated-orcid":false,"given":"Daa Un","family":"Moon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0914-2921","authenticated-orcid":false,"given":"Minjae","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-2510","authenticated-orcid":false,"given":"Young-Chul","family":"Jung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,3,19]]},"reference":[{"key":"R1","doi-asserted-by":"crossref","unstructured":"Health at a glance 2023: OECD indicators. 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