Preferences for Mobile Apps That Aim to Modify Alcohol Use: Thematic Content Analysis of User Reviews.

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2025-03-19 DOI:10.2196/63148
Megan Kirouac, Christina Gillezeau
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Abstract

Background: 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.

Objectives: 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.

Methods: 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.

Results: 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%).

Conclusions: 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.

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旨在改变酒精使用的移动应用偏好:用户评论的主题内容分析。
背景:在美国,近三分之一的成年人在他们的一生中会达到酒精使用障碍的标准,然而只有不到10%的符合酒精使用障碍标准的人会接受治疗。移动医疗(mHealth)应用程序(app)被认为是缩小这一治疗差距的潜在机制,但这些应用程序的质量和完整性参差不齐,导致对用户的潜在伤害。目的:本文的目的是系统地记录和定性地检查用户评论或移动健康应用程序,以确定现有应用程序中可能影响有用性和采用它们的功能。方法:研究人员使用Apple App和谷歌Play商店来识别专注于改变酒精使用和治疗常见合并症的移动健康应用程序。这些应用都是免费的,没有内置付费功能,并为用户提供了多种功能。应用程序的用户评论被下载并使用内容分析进行编码。结果:在我们的搜索中总共发现了425个独特的应用程序。其中,大多数应用程序(n=301)被排除在当前的分析之外,因为它们没有专注于减少与酒精相关的担忧(例如,许多应用程序用于购买酒精)。8个应用程序被确定并获得了用户评论下载。在这项研究中检查的应用程序是VetChange, SMART, DrinkCoach, SayingWhen, AlcoStat, Celebrate Recovery, TryDry和建筑业帮助热线。我们共下载了370条评论,并将其中的1353个短语编码为11个代码。最常见的5个主题是赞美(498个计数编码;36.831%),工具(150个计数编码;11.062%),改进建议(118个计数编码;8.756%),批评(105个计数编码;7.768%),跟踪(104个计数编码;7.724%)。结论:目前的研究结果表明,酒精手机应用程序用户普遍认为这些应用程序有助于减少饮酒或实现饮酒目标。用户能够识别出他们喜欢的或在应用程序中发现有用的功能,并就他们希望包含或改进的功能提供具体的反馈。具体来说,灵活和广泛的跟踪功能和全面的整体健康工具被认为是有价值和可取的。应用程序开发者和那些希望扩大使用和吸收酒精减少应用程序的人可能会发现这些用户评论有助于指导他们的应用程序开发。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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