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• W2747643610 abstract "Creative user of mobile health information (mHealth) has the potential to reduce the cost of healthcare and improve health research and outcomes. The objective of this study is to provide a systematic analysis method of selecting the best app through assessment of the user's needs. Specifically, we explain the method through applying it to dysmenorrhea, as this is the most common menstrual complaint among women. To systematically select the best app for dysmenorrhea, we recommend following 8 stages, as follows: generate ideas about dysmenorrhea and apps through brainstorming and mind maps, develop personas and scenarios for women who experience dysmenorrhea using mobile apps, derive a list of requirements, search for existing apps, analyze whether these apps reflects the derived requirements, select the top 5 apps, have these top apps evaluated by app development experts and clinical experts, and conduct focus group interviews with women in their 20s and 30s who experience dysmenorrhea. Although the mechanisms of the mHealth app for dysmenorrhea have not yet been clearly defined, this study nevertheless is believed to provide guidance to researchers seeking to help consumers using apps. In the future, randomized controlled trials are required in order to determine the effectiveness of this methodology for clinical professionals." @default.
• W2747643610 created "2017-08-31" @default.
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• W2747643610 date "2017-07-01" @default.
• W2747643610 modified "2023-09-26" @default.
• W2747643610 title "Method for Selection of the Best Application for Women’s Health" @default.
• W2747643610 cites W1002511591 @default.
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• W2747643610 doi "https://doi.org/10.1109/chase.2017.109" @default.
• W2747643610 hasPublicationYear "2017" @default.
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