Categorization and Analysis of Primary Care mHealth Apps Related to Breast Health and Breast Cancer: Systematic Search in App Stores and Content Analysis.

IF 3.3 Q2 ONCOLOGY JMIR Cancer Pub Date : 2023-09-07 DOI:10.2196/42044
Sweekrity Kanodia, Jean Christophe Thalabard, Kevin Lhoste
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引用次数: 1

Abstract

Background: Breast cancer is the most common cause of cancer mortality among women globally. The use of mobile health tools such as apps and games is increasing rapidly, even in low- and middle-income countries, to promote early diagnosis and to manage care and support of survivors and patients.

Objective: The primary objective of this review was to categorize selected mobile health apps related to breast health and prevention of breast cancer, based on features such as breast self-examination (BSE) training and reminders, and to analyze their current dissemination. An ancillary objective was to highlight the limitations of existing tools and suggest ways to improve them.

Methods: We defined strict inclusion and exclusion criteria, which required apps to have titles or descriptions that suggest that they were designed for the general public, and not for patients with breast cancer or health workers. Apps that focused on awareness and primary care via self-check were included, while those that focused on topics such as alternative treatments and medical news were excluded. Apps that were not specifically related to breast cancer were also excluded. Apps (in any language) that appeared in the search with keywords were included. The database consisted of apps from AppAgg and Google Play Store. Only 85 apps met the inclusion criteria. Selected apps were categorized on the basis of their alleged interactive features. Descriptive statistics were obtained, and available language options, the number of downloads, and the cost of the apps were the main parameters reviewed.

Results: The selected apps were categorized on the basis of the following features: education, BSE training, reminders, and recording. Of the 85 selected apps, 72 (84.7%) focused on disseminating breast cancer information. BSE training was provided by only 47% (n=40) of the apps, and very few had reminder (n=26, 30.5%) and recording (n=11, 12.9%) features. The median number of downloads was the highest for apps with recording features (>1000 downloads) than those with education, BSE training, reminder, and recording features (>5000 downloads). Most of these apps (n=74, 83.5%) were monolingual, and around 80.3% (n=49) of these apps were in English. Almost all the apps on Google Play Store were free of charge.

Conclusions: Although there exist several apps on Google Play Store to promote awareness about breast health and cancer, the usefulness of most of them appears debatable. To provide a complete breast health package to the users, such apps must have all of the following features: reminders or notifications and symptom recording and tracking. There is still an urgent need to scientifically evaluate existing apps in the target populations in order to make them more functional and user-friendly.

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与乳腺健康和癌症相关的初级保健mHealth应用程序的分类和分析:应用程序商店中的系统搜索和内容分析。
背景:癌症是全球女性癌症死亡的最常见原因。即使在中低收入国家,应用程序和游戏等移动健康工具的使用也在迅速增加,以促进早期诊断,并管理幸存者和患者的护理和支持。目的:本综述的主要目的是根据乳腺自查(BSE)培训和提醒等功能,对选定的与乳腺健康和癌症预防相关的移动健康应用程序进行分类,并分析其目前的传播情况。一个辅助目标是强调现有工具的局限性,并提出改进方法。方法:我们定义了严格的纳入和排除标准,要求应用程序的标题或描述表明它们是为公众设计的,而不是为癌症患者或卫生工作者设计的。通过自检关注意识和初级保健的应用程序被包括在内,而关注替代治疗和医疗新闻等主题的应用程序则被排除在外。与癌症无关的应用程序也被排除在外。搜索中出现的带有关键字的应用程序(任何语言)都包括在内。该数据库由AppAgg和Google Play Store的应用程序组成。只有85款应用符合入选标准。选定的应用程序根据其所谓的交互功能进行分类。获得了描述性统计数据,可用的语言选项、下载次数和应用程序的成本是审查的主要参数。结果:所选应用程序根据以下特征进行了分类:教育、BSE培训、提醒和记录。在85个被选中的应用程序中,72个(84.7%)专注于传播癌症信息。只有47%(n=40)的应用程序提供BSE培训,很少有应用程序具有提醒(n=2630.5%)和记录(n=112.9%)功能。具有录制功能的应用程序(下载量>1000次)的下载量中值最高,而具有教育、BSE培训、提醒和录制功能的(下载量>5000次)。这些应用程序中的大多数(n=74,83.5%)是单语应用程序,其中约80.3%(n=49)是英语应用程序。谷歌Play商店上几乎所有的应用程序都是免费的。结论:尽管谷歌Play商店上有几个应用程序可以提高人们对乳腺健康和癌症的认识,但其中大多数应用程序的有用性似乎是有争议的。要向用户提供完整的乳房健康包,此类应用程序必须具备以下所有功能:提醒或通知以及症状记录和跟踪。仍然迫切需要对目标人群中的现有应用程序进行科学评估,使其更具功能性和用户友好性。
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来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
64
审稿时长
12 weeks
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