{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:45:32Z","timestamp":1785545132283,"version":"3.56.0"},"reference-count":22,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Mhealth Uhealth"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Nearly one-third of adults in the United States will meet criteria for alcohol use disorder in their lifetime, yet fewer than 10% of individuals who meet for alcohol use disorder criteria will receive treatment for it. Mobile health (mHealth) applications (apps) have been suggested as a potential mechanism for closing this treatment gap, yet there is a wide variety of quality and integrity within these apps, leading to potential harms to users.<\/jats:p>\n <\/jats:sec>\n \n Objectives<\/jats:title>\n The aim of this paper is to systematically record and qualitatively examine user reviews or mHealth apps to identify features in the existing apps that may impact usefulness and adoption of them.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n The researchers used Apple App and Google Play stores to identify mHealth apps that were focused on modifying alcohol use and treating common comorbidities. Apps that were free without in-app purchases and provided multiple features for users were included. User reviews from the apps were downloaded and coded using content analysis.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n A total of 425 unique apps were found in our search. Of these, the majority of apps (n=301) were excluded from the present analyses for not focusing on reducing alcohol-related concerns (eg, many apps were for purchasing alcohol). Eight apps were identified and had user reviews downloaded. The apps examined in this study were VetChange, SMART, DrinkCoach, SayingWhen, AlcoStat, Celebrate Recovery, TryDry, and Construction Industry Helpline. A total of 370 reviews were downloaded and 1353 phrases were coded from those reviews into a total of 11 codes. The 5 most common themes identified were praise (498 counts coded; 36.831%), tools (150 counts coded; 11.062%), suggestions for improvement (118 counts coded; 8.756%), criticism (105 counts coded; 7.768%), and tracking (104 counts coded; 7.724%).<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The current findings suggest that alcohol mobile app users broadly found the apps helpful in reducing their drinking or meeting their drinking goals. Users were able to identify features that they liked or found helpful in the apps, as well as provide concrete feedback about features that they would like included or improved. Specifically, flexible and expansive tracking features and comprehensive whole health tools were cited as valuable and desired. App developers and those looking to expand access to and uptake of alcohol reduction apps may find these user reviews helpful in guiding their app development.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/63148","type":"journal-article","created":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T20:00:06Z","timestamp":1739304006000},"page":"e63148-e63148","source":"Crossref","is-referenced-by-count":3,"title":["Preferences for Mobile Apps That Aim to Modify Alcohol Use: Thematic Content Analysis of User Reviews"],"prefix":"10.2196","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7533-197X","authenticated-orcid":false,"given":"Megan","family":"Kirouac","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1318-8316","authenticated-orcid":false,"given":"Christina","family":"Gillezeau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,3,19]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1001\/jama.2020.2015","article-title":"Unhealthy alcohol use","volume":"326","author":"Patel","journal-title":"JAMA"},{"key":"R2","unstructured":"National Institute on Alcohol Abuse and Alcoholism. Alcohol treatment in the United States. 2024. URL: https:\/\/www.niaaa.nih.gov\/alcohols-effects-health\/alcohol-topics\/alcohol-facts-and-statistics\/alcohol-treatment-united-states#:~:text=Among%20an%20estimated%2029.5%20million,alcohol%20in%20the%20past%20year [Accessed 08-04-2024]"},{"issue":"6","key":"R3","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1080\/00952990.2021.1969658","article-title":"Understanding low treatment seeking rates for alcohol use disorder: a narrative review of the literature and opportunities for improvement","volume":"47","author":"Venegas","journal-title":"Am J Drug Alcohol Abuse"},{"issue":"1","key":"R4","doi-asserted-by":"publisher","DOI":"10.35946\/arcr.v40.1.07","article-title":"Integrating treatment for co-occurring mental health conditions","volume":"40","author":"Yule","journal-title":"Alcohol Res"},{"issue":"12","key":"R5","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1016\/S2215-0366(19)30222-6","article-title":"Psychiatric comorbidities in alcohol use disorder","volume":"6","author":"Castillo-Carniglia","journal-title":"Lancet Psychiatry"},{"key":"R6","doi-asserted-by":"publisher","DOI":"10.1016\/j.drugalcdep.2018.07.011","article-title":"Prevalence of comorbid substance use in schizophrenia spectrum disorders in community and clinical settings, 1990-2017: systematic review and meta-analysis","volume":"191","author":"Hunt","journal-title":"Drug Alcohol Depend"},{"issue":"1","key":"R7","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1146\/annurev-clinpsy-080822-042337","article-title":"Mobile health interventions for substance use disorders","volume":"20","author":"Businelle","journal-title":"Annu Rev Clin Psychol"},{"key":"R8","unstructured":"Pew Research Center. Mobile fact sheet. 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Investigating privacy and security challenges of mHealth applications. 2013. 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