{"title":"COVID-Iran 的开发和可用性评估:减少 COVID-19 误报的移动应用程序。","authors":"Raheleh Salari, Farhad Fatehi, Hamed Mehdizadeh","doi":"10.4258/hir.2024.30.4.312","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The spread of misinformation through the internet can lead to dangerous behavioral changes and erode trust in reliable sources, especially during public health crises like coronavirus disease 2019 (COVID-19). To combat this issue, innovative strategies that leverage information technology are essential. This study focused on developing and evaluating a mobile application (app), COVID-Iran, aimed at countering COVID-19 misinformation by delivering accurate, reliable, and credible information.</p><p><strong>Methods: </strong>The development of the app involved a multi-step, user-centered approach that integrated qualitative expert consultations with quantitative survey research to pinpoint and validate key features. The app was initially prototyped using Enterprise Architect software and subsequently developed using Android Studio and MySQL. We conducted a usability evaluation using the System Usability Scale (SUS), where participants engaged in various tasks related to information seeking, self-assessment, and health management. Data were analyzed using descriptive statistics in SPSS version 19.</p><p><strong>Results: </strong>The findings revealed a high usability level (SUS score of 81.35), with participants reporting ease of use and learnability. The app effectively countered misinformation by providing access to trusted sources and evidence-based counterarguments. User feedback emphasized the app's strengths in clarity, accuracy, trustworthiness, and its comprehensive approach. Plans for future improvements include the integration of artificial intelligence to deliver personalized content.</p><p><strong>Conclusions: </strong>Despite limitations such as the small sample size and potential self-selection bias, this study highlights the significant potential of mHealth apps to provide reliable health information and combat misinformation.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"312-323"},"PeriodicalIF":2.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570658/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development and Usability Evaluation of COVID-Iran: A Mobile Application for Mitigating COVID-19 Misinformation.\",\"authors\":\"Raheleh Salari, Farhad Fatehi, Hamed Mehdizadeh\",\"doi\":\"10.4258/hir.2024.30.4.312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The spread of misinformation through the internet can lead to dangerous behavioral changes and erode trust in reliable sources, especially during public health crises like coronavirus disease 2019 (COVID-19). To combat this issue, innovative strategies that leverage information technology are essential. This study focused on developing and evaluating a mobile application (app), COVID-Iran, aimed at countering COVID-19 misinformation by delivering accurate, reliable, and credible information.</p><p><strong>Methods: </strong>The development of the app involved a multi-step, user-centered approach that integrated qualitative expert consultations with quantitative survey research to pinpoint and validate key features. The app was initially prototyped using Enterprise Architect software and subsequently developed using Android Studio and MySQL. We conducted a usability evaluation using the System Usability Scale (SUS), where participants engaged in various tasks related to information seeking, self-assessment, and health management. Data were analyzed using descriptive statistics in SPSS version 19.</p><p><strong>Results: </strong>The findings revealed a high usability level (SUS score of 81.35), with participants reporting ease of use and learnability. The app effectively countered misinformation by providing access to trusted sources and evidence-based counterarguments. User feedback emphasized the app's strengths in clarity, accuracy, trustworthiness, and its comprehensive approach. Plans for future improvements include the integration of artificial intelligence to deliver personalized content.</p><p><strong>Conclusions: </strong>Despite limitations such as the small sample size and potential self-selection bias, this study highlights the significant potential of mHealth apps to provide reliable health information and combat misinformation.</p>\",\"PeriodicalId\":12947,\"journal\":{\"name\":\"Healthcare Informatics Research\",\"volume\":\"30 4\",\"pages\":\"312-323\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570658/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Healthcare Informatics Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4258/hir.2024.30.4.312\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/31 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICAL INFORMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare Informatics Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4258/hir.2024.30.4.312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/31 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0
摘要
目的:通过互联网传播错误信息会导致危险的行为改变,并削弱人们对可靠信息来源的信任,尤其是在 2019 年冠状病毒病(COVID-19)等公共卫生危机期间。要解决这一问题,利用信息技术的创新战略至关重要。本研究的重点是开发和评估一款名为 "COVID-伊朗 "的移动应用程序(App),旨在通过提供准确、可靠和可信的信息来抵制COVID-19的错误信息:该应用程序的开发采用了多步骤、以用户为中心的方法,将定性专家咨询与定量调查研究相结合,以确定并验证关键功能。该应用程序最初使用 Enterprise Architect 软件制作原型,随后使用 Android Studio 和 MySQL 进行开发。我们使用系统可用性量表(SUS)进行了可用性评估,参与者参与了与信息搜索、自我评估和健康管理相关的各种任务。我们使用 SPSS 19 版本的描述性统计对数据进行了分析:研究结果表明,该应用程序的可用性水平较高(SUS 得分为 81.35),参与者表示该应用程序易于使用和学习。该应用程序通过提供可信来源和基于证据的反驳,有效地抵制了错误信息。用户反馈强调了该应用程序在清晰度、准确性、可信度和综合方法方面的优势。未来的改进计划包括整合人工智能,提供个性化内容:尽管存在样本量小和潜在的自我选择偏差等局限性,但本研究强调了移动医疗应用程序在提供可靠的健康信息和打击错误信息方面的巨大潜力。
Development and Usability Evaluation of COVID-Iran: A Mobile Application for Mitigating COVID-19 Misinformation.
Objectives: The spread of misinformation through the internet can lead to dangerous behavioral changes and erode trust in reliable sources, especially during public health crises like coronavirus disease 2019 (COVID-19). To combat this issue, innovative strategies that leverage information technology are essential. This study focused on developing and evaluating a mobile application (app), COVID-Iran, aimed at countering COVID-19 misinformation by delivering accurate, reliable, and credible information.
Methods: The development of the app involved a multi-step, user-centered approach that integrated qualitative expert consultations with quantitative survey research to pinpoint and validate key features. The app was initially prototyped using Enterprise Architect software and subsequently developed using Android Studio and MySQL. We conducted a usability evaluation using the System Usability Scale (SUS), where participants engaged in various tasks related to information seeking, self-assessment, and health management. Data were analyzed using descriptive statistics in SPSS version 19.
Results: The findings revealed a high usability level (SUS score of 81.35), with participants reporting ease of use and learnability. The app effectively countered misinformation by providing access to trusted sources and evidence-based counterarguments. User feedback emphasized the app's strengths in clarity, accuracy, trustworthiness, and its comprehensive approach. Plans for future improvements include the integration of artificial intelligence to deliver personalized content.
Conclusions: Despite limitations such as the small sample size and potential self-selection bias, this study highlights the significant potential of mHealth apps to provide reliable health information and combat misinformation.