@文章{信息:doi/10.2196/19712，作者=“Lwin, May Oo和Lu, Jiahui和Sheldenkar, Anita和Panchapakesan, Chitra和Tan, Yi-Roe和Yap, Peiling和Chen, Mark I和Chow, Vincent TK和Thoon, Koh Cheng和Yung, Chee Fu和Ang, Li Wei和Ang, Brenda SP”，标题=“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"，期刊="JMIR Mhealth Uhealth"，年="2020"，月="12月"，日="7"，卷="8"，数="12"，页数="e19712"，关键词="参与性监测;症状监测;移动电话;流感样疾病;背景:现有研究表明，基于互联网的参与式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。 In addition, we aimed to identify the factors that can moderate the effectiveness of the system. Methods: The FluMob system was launched in two large hospitals in Singapore from April 2016 to March 2018. A total of 690 clinical and nonclinical hospital staff participated in the study for 18 months and were prompted via app notifications to submit a survey listing 18 acute respiratory symptoms (eg, fever, cough, sore throat) on a weekly basis. 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. ", issn="2291-5222", doi="10.2196/19712", url="https://mhealth.www.mybigtv.com/2020/12/e19712", url="https://doi.org/10.2196/19712", url="http://www.ncbi.nlm.nih.gov/pubmed/33284126" }