杂志文章@ 2291-5222 I JMIR出版物V 8% N 12%卡塔尔世界杯8强波胆分析 P e19712% T卫生保健工作者中基于移动的流感样疾病监测系统(FluMob)的有效性:纵向研究%A Lwin,May Oo %A Lu,Jiahui %A Sheldenkar,Anita %A Panchapakesan,Chitra %A Tan,Yi-Roe %A Yap,Peiling %A Chen,Mark I %A Chow,Vincent TK %A thon,Koh Cheng %A Yung,Chee Fu %A Ang,Li Wei %A Ang,Brenda SP %+天津大学新媒体与传播学院，天津市卫津路92号，邮编:300072,86 18222418810，lujiahui@tju.edu.cn %K参与性监测%K综合征监测%K手机%K流感样疾病%K医护人员%D 2020 %7 7.12.2020 %9原始论文%J JMIR移动健康Uhealth %G英文%X背景:现有研究表明，基于互联网的参与性监测系统是流感样疾病(ILI)监测的有效哨点。然而，关于基于移动的ILI监测系统有效性的科学知识有限。以前的研究也采用了被动监测方法，没有充分调查这些系统及其决定因素的有效性。目的:本研究的目的是评估基于移动的监测系统，称为FluMob，在卫生保健工作者中使用有针对性的监测方法的效率。具体而言，本研究评估了ILI监测系统的有效性，涉及其参与、参与和监督权力。此外，我们的目标是确定可以调节系统有效性的因素。方法:FluMob系统于2016年4月至2018年3月在新加坡的两家大型医院推出。共有690名临床和非临床医院工作人员参与了为期18个月的研究，并通过应用程序通知每周提交一份调查，列出18种急性呼吸道症状(如发烧、咳嗽、喉咙痛)。 There was a period of study disruption due to maintenance of the system and the end of the participation incentive between May and July of 2017. Results: On average, the individual submission rate was 41.4% (SD 24.3%), with a rate of 51.8% (SD 26.4%) before the study disruption and of 21.5% (SD 30.6%) after the disruption. Multivariable regression analysis showed that the adjusted individual submission rates were higher for participants who were older (<30 years, 31.4% vs 31-40 years, 40.2% [P<.001]; 41-50 years, 46.0% [P<.001]; >50 years, 39.9% [P=.01]), ethnic Chinese (Chinese, 44.4% vs non-Chinese, 34.7%; P<.001), and vaccinated against flu in the past year (vaccinated, 44.6% vs nonvaccinated, 34.4%; P<.001). In addition, the weekly ILI incidence was 1.07% on average. The Pearson correlation coefficient between ILI incidence estimated by FluMob and that reported by Singapore Ministry of Health was 0.04 (P=.75) with all data and was 0.38 (P=.006) including only data collected before the study disruption. Health care workers with higher risks of ILI and influenza such as women, non-Chinese, allied health staff, those who had children in their households, not vaccinated against influenza, and reported allergy demonstrated higher surveillance correlations. Conclusions: Mobile-based ILI surveillance systems among health care workers can be effective. However, proper operation of the mobile system without major disruptions is vital for the engagement of participants and the persistence of surveillance power. Moreover, the effectiveness of the mobile surveillance system can be moderated by participants’ characteristics, which highlights the importance of targeted disease surveillance that can reduce the cost of recruitment and engagement. %M 33284126 %R 10.2196/19712 %U https://mhealth.www.mybigtv.com/2020/12/e19712 %U https://doi.org/10.2196/19712 %U http://www.ncbi.nlm.nih.gov/pubmed/33284126