TY - JOUR AU - Henry, Nathan AU - Donkin, Liesje AU - Williams, Matt AU - Pedersen, manor PY - 2022 DA - 2022/10/13 TI - mHealth技术管理有问题的色情使用:内容分析JO - JMIR形式Res SP - e39869 VL - 6 IS - 10kw -色情KW -强迫性行为障碍KW - CSBD KW -移动健康KW - mHealth KW -有问题的色情使用KW - PPU KW -移动干预KW -即时自适应干预KW -基于智能手机的治疗KW -成瘾KW -网络成瘾KW -行为成瘾KW -手机AB -背景:目前有几个移动应用程序据称可以帮助管理色情成瘾。然而，这些应用程序的效用尚不清楚，因为缺乏关于移动医疗解决方案对有问题的色情使用的有效性的文献。这些应用程序的内容、结构和功能也鲜为人知。目的:本研究旨在描述声称可以管理色情成瘾的移动应用程序的目的、内容和受欢迎程度。方法:在两大手机平台(Android和iOS)的应用商店中，以“色情成瘾”为关键词进行搜索。应用程序功能根据包含16个类别的编码方案进行分类。如果应用程序被描述为有助于减少色情使用，那么它们就被包括在分析中，数据来自应用程序的商店描述。用户评分数量、平均评分分数和安装数量等指标都是基于每个功能进行分析的。 Results: In total, 170 apps from both app stores met the inclusion criteria. The five most common and popular features, both in terms of number of apps with each feature and minimum possible number of installations, were the ability to track the time since last relapse (apps with feature=72/170, 42.4%; minimum possible number of installations=6,388,000), tutorials and coaching (apps with feature=63/170, 37.1%; minimum possible number of installations=9,286,505), access to accountability partners or communities (apps with feature=51/170, 30%; minimum possible number of installations=5,544,500), content blocking or content monitoring (apps with feature=46/170, 27.1%; minimum possible number of installations=17,883,000), and a reward system for progress (apps with feature=34/170, 20%; minimum possible number of installations=4,425,300). Of these features, content-blocking apps had the highest minimum possible number of installations. Content blocking was also the most detected feature combination in a combinatorial analysis (with 28 apps having only this feature), but it also had the lowest mean consumer satisfaction rating (4.04) and second-lowest median rating (4.00) out of 5 stars. None of the apps reviewed contained references to literature that provided direct evidence for the app’s efficacy or safety. Conclusions: There are several apps with the potential to provide low- or zero-cost real-time interventions for people struggling to manage problematic pornography use. Popular app features include blockers of pornographic content, behavior monitoring, and tutorials that instruct users how to eliminate pornography use. However, there is currently no empirical evidence to support the effectiveness and safety of these apps. Further research is required to be able to provide recommendations about which apps (and app features) are safe for public consumption. SN - 2561-326X UR - https://formative.www.mybigtv.com/2022/10/e39869 UR - https://doi.org/10.2196/39869 UR - http://www.ncbi.nlm.nih.gov/pubmed/36227634 DO - 10.2196/39869 ID - info:doi/10.2196/39869 ER -