Pregnancy and health in the age of the Internet: A content analysis of online "birth club" forums.

BACKGROUND: Although studies report that more than 90% of pregnant women utilize digital sources to supplement their maternal healthcare, little is known about the kinds of information that women seek from their peers during pregnancy. To date, most research has used self-report measures to elucidate how and why women to turn to digital sources during pregnancy. However, given that these measures may differ from actual utilization of online health information, it is important to analyze the online content pregnant women generate. OBJECTIVE: To apply machine learning methods to analyze online pregnancy forums, to better understand how women seek information from a community of online peers during pregnancy. METHODS: Data from seven WhatToExpect.com "birth club" forums (September 2018; January-June 2018) were scraped. Forum posts were collected for a one-year period, which included three trimesters and three months postpartum. Only initial posts from each thread were analyzed (n = 262,238). Automatic natural language processing (NLP) methods captured 50 discussed topics, which were annotated by two independent coders and grouped categorically. RESULTS: The largest topic categories were maternal health (45%), baby-related topics (29%), and people/relationships (10%). While pain was a popular topic all throughout pregnancy, individual topics that were dominant by trimester included miscarriage (first trimester), labor (third trimester), and baby sleeping routine (postpartum period). CONCLUSION: More than just emotional or peer support, pregnant women turn to online forums to discuss their health. Dominant topics, such as labor and miscarriage, suggest unmet informational needs in these domains. With misinformation becoming a growing public health concern, more attention must be directed toward peer-exchange outlets.

Development and psychometric properties of the HPV Impact Profile (HIP) to assess the psychosocial burden of HPV.

OBJECTIVE: A comprehensive questionnaire designed to assess the full spectrum of potential human papillomavirus (HPV)-related psychosocial effects in women does not exist. The HPV Impact Profile (HIP) was developed to determine the psychosocial impact of HPV infection and related interventions. RESEARCH DESIGN AND METHODS: Draft instrument items and domains were developed using a literature review and cognitive debriefing interviews with women who had experienced HPV-related conditions. An importance rating questionnaire guided item ranking and reduction. A draft questionnaire was pilot-tested for comprehension and ease of completion. Psychometric evaluation of the final HIP was conducted in a survey of 583 women. Data quality, item acceptability, scale acceptability, reliability, and discriminate construct validity were assessed. OUTCOME MEASURE: The final HIP contained 29 items rated on a 0-10 point discretized visual analog scales grouped into seven hypothesized domains. RESULTS: Total HIP scores ranged from 0 (no impact) to 100 (worst impact). Data quality was high, with missing data for items ranging from 0 to 0.7% and over 99% of the scores were computable. Cronbach's alpha ranged from 0.64 to 0.90 and was > or =0.7 for 5/7 domains. Discriminant construct validity was demonstrated. Appropriate modifications could potentially be made to improve some aspects of the HIP, including modification to include other HPV diseases such as head and neck, anal, and vulvovaginal cancers and HPV disease in men. CONCLUSIONS: The disease-specific HIP has favorable reliability and construct validity and a good ability to discriminate among disease severity.