Social Media Analyses to Capture the Signs and Impacts of Fever Symptoms in Infants and Young Children

Author:

Smith Adam1,Laughey William2,Esclassan Frederic2,Lodhi Imran2

Affiliation:

1. York Health Economics Consortium

2. Reckitt Benckiser (United Kingdom)

Abstract

Abstract Purpose Current efforts to tackle the challenges associated with managing child fevers have focused on developing an observer-report (ObsRO), the Paediatric Fever Distress Index (PFDI), which allows parents and caregivers the means to accurately recognize and treat child fevers. To further develop the PFDI, this study utilized online forums to evaluate parent-reported causes and symptoms of fever, the impact of these fevers on both children and parents, and to understand the means of parental management and diagnosis of child fevers. Methods Through analysis of social media and selected posts from the parental forum website Mumsnet.com, this study used natural language processing methods and a qualitative analytical approach to identify and analyze key themes relating to the study objectives in users’ posts. Results Gastrointestinal and respiratory symptoms were among the most frequently reported impacts of fever, whereas common causes were reported as vaccinations and viral infections. Approximately, half the parents and caregivers reported managing fever with antipyretic medication. Other parents and caregivers reported a significant emotional impact, feeling worried, scared, and panicked about their child’s fever. Conclusion This explorative study identified social media forums as being a rich source of information regarding parental behaviors and attitudes towards the identification and management of child fevers. Parental behaviors were varied, yet certain knowledge gaps identified the need for further education and future research into the management of fevers in children.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3