Judicael Adadja, Myriam Mallet, Sean Johnston, Maude Ballou, Éric Kavanagh, Maurice Boissinot, Simon Berthelot
{"title":"影响:采用以用户为中心的方法,为流感样疾病患者开发自我管理的风险分层工具。","authors":"Judicael Adadja, Myriam Mallet, Sean Johnston, Maude Ballou, Éric Kavanagh, Maurice Boissinot, Simon Berthelot","doi":"10.1177/14604582261427240","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundInfluenza is often self-limiting but leads to avoidable emergency department visits. This study describes the development of inFLUence, an online self-administered tool for stratifying influenza-like illness risk.MethodsThe tool was developed using a user-centered design approach, informed by a systematic review of existing risk stratification tools. A prototype was iteratively refined across three rapid prototyping cycles with 18 participants and evaluated by seven clinical experts through an online survey.ResultsAcross three testing cycles, nearly all participants (5-6 out of 6 per round) found the tool easy to use, understandable, useful, and effective. Feedback informed consensus-based adjustments at each iteration. Clinical experts rated the relevance of the proposed questions on a 9-point scale, with median scores ranging from 5 to 9, where 9 indicated extreme relevance. The final product is a bilingual, self-administered web application for individuals aged ≥5 months, providing personalized recommendations for users presenting with influenza-like illness, regardless of the underlying viral pathogen.ConclusioninFLUence is a promising digital tool that could enhance patient autonomy and support more efficient use of healthcare services.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"32 1","pages":"14604582261427240"},"PeriodicalIF":2.2000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"inFLUence: Development of a self-administered risk stratification tool for patients with influenza-like illness using a user-centered approach.\",\"authors\":\"Judicael Adadja, Myriam Mallet, Sean Johnston, Maude Ballou, Éric Kavanagh, Maurice Boissinot, Simon Berthelot\",\"doi\":\"10.1177/14604582261427240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>BackgroundInfluenza is often self-limiting but leads to avoidable emergency department visits. This study describes the development of inFLUence, an online self-administered tool for stratifying influenza-like illness risk.MethodsThe tool was developed using a user-centered design approach, informed by a systematic review of existing risk stratification tools. A prototype was iteratively refined across three rapid prototyping cycles with 18 participants and evaluated by seven clinical experts through an online survey.ResultsAcross three testing cycles, nearly all participants (5-6 out of 6 per round) found the tool easy to use, understandable, useful, and effective. Feedback informed consensus-based adjustments at each iteration. Clinical experts rated the relevance of the proposed questions on a 9-point scale, with median scores ranging from 5 to 9, where 9 indicated extreme relevance. The final product is a bilingual, self-administered web application for individuals aged ≥5 months, providing personalized recommendations for users presenting with influenza-like illness, regardless of the underlying viral pathogen.ConclusioninFLUence is a promising digital tool that could enhance patient autonomy and support more efficient use of healthcare services.</p>\",\"PeriodicalId\":55069,\"journal\":{\"name\":\"Health Informatics Journal\",\"volume\":\"32 1\",\"pages\":\"14604582261427240\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2026-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Informatics Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/14604582261427240\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/3/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Informatics Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/14604582261427240","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
inFLUence: Development of a self-administered risk stratification tool for patients with influenza-like illness using a user-centered approach.
BackgroundInfluenza is often self-limiting but leads to avoidable emergency department visits. This study describes the development of inFLUence, an online self-administered tool for stratifying influenza-like illness risk.MethodsThe tool was developed using a user-centered design approach, informed by a systematic review of existing risk stratification tools. A prototype was iteratively refined across three rapid prototyping cycles with 18 participants and evaluated by seven clinical experts through an online survey.ResultsAcross three testing cycles, nearly all participants (5-6 out of 6 per round) found the tool easy to use, understandable, useful, and effective. Feedback informed consensus-based adjustments at each iteration. Clinical experts rated the relevance of the proposed questions on a 9-point scale, with median scores ranging from 5 to 9, where 9 indicated extreme relevance. The final product is a bilingual, self-administered web application for individuals aged ≥5 months, providing personalized recommendations for users presenting with influenza-like illness, regardless of the underlying viral pathogen.ConclusioninFLUence is a promising digital tool that could enhance patient autonomy and support more efficient use of healthcare services.
期刊介绍:
Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.