Scoping the Priorities and Concerns of Parents: Infodemiology Study of Posts on Mumsnet and Reddit

• Published in: Journal of medical Internet research Vol. 25; no. 10296; p. e47849
• Main Authors: Thornton, Christopher, Lanyi, Kate, Wilkins, Georgina, Potter, Rhiannon, Hunter, Emily, Kolehmainen, Niina, Pearson, Fiona
• Format: Journal Article
• Language: English
• Published: Canada Journal of Medical Internet Research 28-11-2023; Gunther Eysenbach MD MPH, Associate Professor; JMIR Publications
• Subjects: Beneficiaries; Bottle feeding; Caregivers; Child; Child care; Child Health; Children; Childrens health; Coherence; Concerns; Content analysis; Eating behavior; Families & family life; Food; Health aspects; Health problems; Health status; Healthy food; Humans; Infant; Infants; Infodemiology; Innovations; Internet; Libraries; Medical technology; Original Paper; Parental conflict; Parenting; Parents; Parents & parenting; Python; Research ethics; Screen time; Self care; Sleep; Social media; Social networks; Topics; parent; well-being; childhood; data; data mining; infodemiology; topic modeling; web-based forum; infant; toddler; Reddit; children; family health; behavior; social media; parenting; child
• ISSN: 1438-8871; 1439-4456; 1438-8871
• DOI: 10.2196/47849

Health technology innovation is increasingly supported by a bottom-up approach to priority setting, aiming to better reflect the concerns of its intended beneficiaries. Web-based forums provide parents with an outlet to share concerns, advice, and information related to parenting and the health and well-being of their children. They provide a rich source of data on parenting concerns and priorities that could inform future child health research and innovation.
The aim of the study is to identify common concerns expressed on 2 major web-based forums and cluster these to identify potential family health concern topics as indicative priority areas for future research and innovation.
We text-mined the r/Parenting subreddit (69,846 posts) and the parenting section of Mumsnet (99,848 posts) to create a large corpus of posts. A generative statistical model (latent Dirichlet allocation) was used to identify the most discussed topics in the corpus, and content analysis was applied to identify the parenting concerns found in a subset of posts.
A model with 25 topics produced the highest coherence and a wide range of meaningful parenting concern topics. The most frequently expressed parenting concerns are related to their child's sleep, self-care, eating (and food), behavior, childcare context, and the parental context including parental conflict. Topics directly associated with infants, such as potty training and bottle feeding, were more common on Mumsnet, while parental context and screen time were more common on r/Parenting.
Latent Dirichlet allocation topic modeling can be applied to gain a rapid, yet meaningful overview of parent concerns expressed on a large and diverse set of social media posts and used to complement traditional insight gathering methods. Parents framed their concerns in terms of children's everyday health concerns, generating topics that overlap significantly with established family health concern topics. We provide evidence of the range of family health concerns found at these sources and hope this can be used to generate material for use alongside traditional insight gathering methods.