Center for Marine Environmental Studies, Ehime University, Matsuyama, Japan.
Department of Civil and Environmental Engineering, Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan.
JMIR Public Health Surveill. 2021 Mar 1;7(3):e19034. doi: 10.2196/19034.
While early detection and effective control of epidemics depend on appropriate surveillance methods, the Philippines bases its dengue fever surveillance system on a passive surveillance method (notifications from barangay/village health centers, municipal or city health offices, hospitals, and clinics). There is no available mHealth (mobile health) app for dengue fever that includes all the appropriate surveillance methods in early detection of disease outbreaks in the country.
This study aimed to evaluate the usability of the Mozzify app in terms of objective quality (engagement, functionality, aesthetics, information) and app subjective and app-specific qualities and compare total app mean score ratings by sociodemographic profile and self and family dengue fever history to see what factors are associated with high app mean score rating among school-based young adult samples and health care professionals. Individual interviews and focus group discussions were also conducted among participants to develop themes from their comments and suggestions to help structure further improvement and future development of the app.
User experience sessions were conducted among participants, and the Mobile Application Rating Scale (MARS) professional and user versions (uMARS) were administered followed by individual interviews and focus group discussions. Descriptive statistical analysis of the MARS and uMARS score ratings was performed. The total app mean score ratings by sociodemographic and dengue fever history using nonparametric mean difference analyses were also conducted. Thematic synthesis was used to develop themes from the comments and suggestions raised in individual interviews and focus group discussions.
Mozzify obtained an overall >4 (out of 5) mean score ratings in the MARS and uMARS app objective quality (4.45), subjective (4.17), and specific (4.55) scales among 948 participants (79 health care professionals and 869 school-based samples). Mean difference analyses revealed that total app mean score ratings were not significantly different across ages and gender among health care professionals and across age, income categories, and self and family dengue fever history but not gender (P<.001) among the school-based samples. Thematic syntheses revealed 7 major themes: multilanguage options and including other diseases; Android version availability; improvements on the app's content, design, and engagement; inclusion of users from low-income and rural areas; Wi-Fi connection and app size concerns; data credibility and issues regarding user security and privacy.
With its acceptable performance as perceived by health care professionals and school-based young adults, Mozzify has the potential to be used as a strategic health intervention system for early detection of disease outbreaks in the Philippines. It can be used by health care professionals of any age and gender and by school-based samples of any age, socioeconomic status, and dengue fever history. The study also highlights the feasibility of school-based young adults to use health-related apps for disease prevention.
虽然早期发现和有效控制疫情依赖于适当的监测方法，但菲律宾的登革热监测系统基于被动监测方法（由村庄/乡村卫生中心、市/市卫生局、医院和诊所报告）。该国没有可供使用的包括所有适当监测方法的移动健康（移动医疗）应用程序来早期发现疾病爆发。
本研究旨在评估 Mozzify 应用程序在客观质量（参与度、功能、美观、信息）和应用程序主观和特定应用程序质量方面的可用性，并按社会人口统计学特征和自身及家庭登革热史比较总应用程序平均评分，以了解哪些因素与在校青年样本和卫生保健专业人员的高应用程序平均评分有关。还对参与者进行了个人访谈和焦点小组讨论，以从他们的评论和建议中提取主题，帮助构建应用程序的进一步改进和未来发展。
在参与者中进行用户体验会议，并管理移动应用程序评级量表（MARS）专业版和用户版（uMARS），然后进行个人访谈和焦点小组讨论。对 MARS 和 uMARS 评分进行描述性统计分析。还使用非参数均值差异分析对社会人口统计学和登革热史的总应用程序平均评分进行了分析。使用主题合成从个人访谈和焦点小组讨论中提出的评论和建议中开发主题。
在 948 名参与者（79 名卫生保健专业人员和 869 名在校样本）中，Mozzify 在 MARS 和 uMARS 应用程序客观质量（4.45）、主观（4.17）和特定（4.55）量表中的总体评分>4（满分 5 分）。均值差异分析显示，卫生保健专业人员中，总应用程序平均评分在年龄和性别、年龄、收入类别、自身和家庭登革热史之间不存在显著差异，但在性别方面存在显著差异（P<.001），在校样本中。主题合成揭示了 7 个主要主题：多语言选项和包括其他疾病；Android 版本可用性；改进应用程序的内容、设计和参与度；包括来自低收入和农村地区的用户；Wi-Fi 连接和应用程序大小问题；数据可信度以及用户安全和隐私问题。
Mozzify 被卫生保健专业人员和在校青年认为具有可接受的性能，有可能成为菲律宾早期发现疫情爆发的战略卫生干预系统。它可以由任何年龄和性别的卫生保健专业人员以及任何年龄、社会经济地位和登革热史的在校样本使用。该研究还强调了在校青年使用健康相关应用程序进行疾病预防的可行性。
