Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study

Topics searched by first-time Indonesian fathers during pregnancy journey: An exploratory study

This study explores the topics searched by first-time Indonesian fathers during the pregnancy journey. Data were collected through semi-structured interviews with a representative sample of first-time expectant fathers in Indonesia. Thematic analysis was employed to identify common themes and patterns in fathers' search topics and reasons behind the searches. The results reveal that fathers predominantly focus on finding topics related to their partners' well-being with particular emphasis on health-related topics. Interestingly, the study highlights a lower engagement with topics related to cultural practices, traditions, and religion among first-time Indonesian fathers. Additionally, understanding the situation and finding the solutions to a problem is one of the main popular reasons for first-time fathers to seek a particular topic related to pregnancy. This study provides valuable insights into the topics searched and motivations of first-time Indonesian fathers during the pregnancy journey which have similarities and differences to fathers' practices in developed countries. The findings underscore the necessity for tailored intervention programs to promote paternal involvement during this transformative period which addresses the unique information needs of Indonesian fathers.

Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study

Purpose

This study aimed to systematically evaluate the quality of content and information in videos related to gestational diabetes mellitus on Chinese social media platforms.

Methods

The videos on various platforms, TikTok, Bilibili, and Weibo, were searched with the keyword "gestational diabetes mellitus" in Chinese, and the first 50 videos with a comprehensive ranking on each platform were included for subsequent analysis. Characteristic information of video was collected, such as their duration, number of days online, number of likes, comments, and number of shares. DISCREN, JAMA (The Journal of the American Medical Association) Benchmark Criteria, and GQS (Global Quality Scores) were used to assess the quality of all videos. Finally, the correlation analysis was performed among video features, video sources, DISCERN scores, and JAMA scores.

Results

Ultimately, 135 videos were included in this study. The mean DISCERN total score was 31.84 ± 7.85, the mean JAMA score was 2.33 ± 0.72, and the mean GQS was 2.00 ± 0.40. Most of the videos (52.6%) were uploaded by independent medical professionals, and videos uploaded by professionals had the shortest duration and time online (P < 0.001). The source of the video was associated with numbers of "likes", "comments", and "shares" for JAMA scores (P < 0.001), but there was no correlation with DISCERN scores. Generally, videos on TikTok with the shortest duration received the most numbers of "likes", "comments", and "shares", but the overall quality of videos on Weibo was higher.

Conclusion

Although the majority of the videos were uploaded by independent medical professionals, the overall quality appeared to be poor. Therefore, more efforts and actions should be taken to improve the quality of videos related to gestational diabetes mellitus.

Health information-seeking internet behaviours among pregnant women: a narrative literature review

BACKGROUND

Pregnant women often turn to the internet as a primary source of pregnancy-related information. However, there is great concern about the accuracy of health-related information on the internet, making research on women's internet behaviours and decision-making critically important. Previous research has been conducted within a number of distinct but related fields, yet existing review papers have often failed to connect across the various disciplines.

OBJECTIVE

This review aims to synthesise the large and cross-disciplinary body of literature on women's health information-seeking internet behaviour regarding pregnancy and childbirth.

METHODS

A narrative literature review, which includes research from both health and social sciences, was conducted.

RESULTS

Findings address the 'who, where, what, why, and how' of information-seeking behaviour on the internet, with suggestions for future research in each area further discussed.

CONCLUSIONS

Additional research which addresses the remaining gaps in the literature can help providers be more aware of their patients' informational needs. Providers can be an important source of information, while also helping guide their patients on how to evaluate information. Enhanced patient portals and communication platforms can help to provide more timely and reliable information. Providing their patients with guides can be important for fostering enhanced health literacy.

Evaluating Messaging on Prenatal Health Behaviors Using Social Media Data: Systematic Review

BACKGROUND

Social media platforms are increasingly being used to disseminate messages about prenatal health. However, to date, we lack a systematic assessment of how to evaluate the impact of official prenatal health messaging and campaigns using social media data.

OBJECTIVE

This study aims to review both the published and gray literature on how official prenatal health messaging and campaigns have been evaluated to date in terms of impact, acceptability, effectiveness, and unintended consequences, using social media data.

METHODS

A total of 6 electronic databases were searched and supplemented with the hand-searching of reference lists. Both published and gray literature were eligible for review. Data were analyzed using content analysis for descriptive data and a thematic synthesis approach to summarize qualitative evidence. A quality appraisal tool, designed especially for use with social media data, was used to assess the quality of the included articles.

RESULTS

A total of 11 studies were eligible for the review. The results showed that the most common prenatal health behavior targeted was alcohol consumption, and Facebook was the most commonly used source of social media data. The majority (n=6) of articles used social media data for descriptive purposes only. The results also showed that there was a lack of evaluation of the effectiveness, acceptability, and unintended consequences of the prenatal health message or campaign.

CONCLUSIONS

Social media is a widely used and potentially valuable resource for communicating and evaluating prenatal health messaging. However, this review suggests that there is a need to develop and adopt sound methodology on how to evaluate prenatal health messaging using social media data, for the benefit of future research and to inform public health practice.

Social media as a tool for oral health promotion: A systematic review

Social media platforms are common means of sharing information, personal experiences, and lifestyle. They can also be utilized as cost-effective methods for individuals to acquire health information and promote oral health. The purpose of the present study was to systematically review the current literature on the interventions taken through social media for promoting lay people's oral health. This systematic review (PROSPERO: CRD42023395005) followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 guidelines. A comprehensive search was conducted in four electronic databases (PubMed, Scopus, Embase, and Cochrane Library) for relevant articles published between 2012 and 2023. Data such as study design, sample size, follow-up duration, utilized social media platforms and main findings were extracted from the eligible studies. The quality of the studies included in the systematic review was evaluated by the quality assessment tools for intervention studies recommended by the National Collaborating Centre for Methods and Tools. Out of the 1934 records identified in the initial search, 10 studies met the inclusion criteria and were included in the qualitative synthesis. These studies comprised seven randomized control trials, one field trial and two quasi-experimental. Various social media platforms, including Telegram, Instagram, YouTube, WhatsApp and Snapchat, were used for communication with patients. Some studies solely utilized social media interventions, while others combined online and traditional interventions. The quality assessment categorized 30% of the studies as "strong", 50% as "moderate", and the remaining as "weak". The implementation of social media interventions positively influenced multiple aspects of oral health among the laypeople. Online platforms such as YouTube, WhatsApp, Instagram, and Telegram can be effectively utilized to promote oral health among patients.

Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression

Objective

Evidence suggests that high-quality health education and effective communication within the framework of social support hold significant potential in preventing postpartum depression. Yet, developing trustworthy and engaging health education and communication materials requires extensive expertise and substantial resources. In light of this, we propose an innovative approach that involves leveraging natural language processing (NLP) to classify publicly accessible lay articles based on their relevance and subject matter to pregnancy and mental health.

Materials and methods

We manually reviewed online lay articles from credible and medically validated sources to create a gold standard corpus. This manual review process categorized the articles based on their pertinence to pregnancy and related subtopics. To streamline and expand the classification procedure for relevance and topics, we employed advanced NLP models such as Random Forest, Bidirectional Encoder Representations from Transformers (BERT), and Generative Pre-trained Transformer model (gpt-3.5-turbo).

Results

The gold standard corpus included 392 pregnancy-related articles. Our manual review process categorized the reading materials according to lifestyle factors associated with postpartum depression: diet, exercise, mental health, and health literacy. A BERT-based model performed best (F1 = 0.974) in an end-to-end classification of relevance and topics. In a two-step approach, given articles already classified as pregnancy-related, gpt-3.5-turbo performed best (F1 = 0.972) in classifying the above topics.

Discussion

Utilizing NLP, we can guide patients to high-quality lay reading materials as cost-effective, readily available health education and communication sources. This approach allows us to scale the information delivery specifically to individuals, enhancing the relevance and impact of the materials provided.

The impact of social media influencers on pregnancy, birth, and early parenting experiences: A systematic review

BACKGROUND

Pregnant and new parents are increasingly engaging with social media. The impacts of engaging with social media 'influencers' and 'bloggers' during a time of heightened vulnerability to influence, in particular, merits exploration.

AIM

To systematically review the literature to identify what is known about how following social media 'influencers' and 'bloggers' impacts pregnant and new parents' experiences and decision-making.

METHODS

A search of CINAHL, World of Science, Medline, EMBASE and Google Scholar databases was undertaken in January 2023 to identify the literature focusing on the impacts of engaging with influencers or bloggers as pregnant or new parents. The reference lists of the included papers were hand-searched. Data were extracted from each paper, tabulated, and thematically analysed. The review was reported using the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

FINDINGS

Seventeen papers met the inclusion criteria and were included in the final synthesis. Thematic analysis revealed four overarching themes, which were 'sharing information', 'support', 'identity', and 'monetisation'.

DISCUSSION

Social media influencers provide a network of peers amongst whom discussions, supportive behaviours, and information sharing take place. However, concern arises around the potential for combative interactions, the risk for transmission of misinformation, and the potential impacts of following influencers who are also qualified health professionals.

CONCLUSION

Existing research suggests that engaging with social media influencers can be both beneficial and harmful for pregnant and new parents. At the current time, it is unclear how exposure to the benefits or harm impacts personal experiences and decision-making.

Exploring experiences and needs of perinatal women in digital healthcare: A meta-ethnography of qualitative evidence

OBJECTIVE

The aim of this review is to identify, appraise, and synthesize the available qualitative evidence on the experiences and needs of perinatal women by using digital technologies in healthcare.

METHODS

This review was consolidated following the eMERGe meta-ethnography reporting guidance. We conducted a comprehensive search in eight databases from inception to 12 October 2021. Published and unpublished qualitative and mixed-method studies published in English were included. The methodological quality was assessed using the critical appraisal skill program checklist. A meta-ethnographic synthesis was used according to Noblit and Hare's seven-step iterative process.

RESULTS

A total of 3,843 articles were retrieved, and 27 qualitative studies pertaining to 3,775 perinatal women from 13 countries across different ethnicities were included. Four overarching themes emerged for the aspect of experiences: (1) normalization of experience, (2) attainment of valuable knowledge, (3) empowerment and self-confidence boosting, and (4) beneficial features of digital platforms. For the aspect of needs, the derived themes included the following: (1) necessity of credible resources, (2) importance of personalization, (3) concern about cybersecurity, and (4) urging additional support. Our line-of-argument for interpreting the perinatal women's experiences can offer a much greater engagement in digital healthcare, while the findings on the perinatal women's needs can add value for improving the design of digital healthcare in the future.

CONCLUSION

This review offers a deeper understanding of the perinatal women's experiences and needs when using digital technologies in healthcare. Our findings provide meaningful recommendations for clinical practice and future research.

"Tell us what's going on": Exploring the information needs of pregnant and post-partum women in Australia during the pandemic with 'Tweets', 'Threads', and women's views

INTRODUCTION

The provision of maternity services in Australia has been significantly disrupted in response to the COVID-19 pandemic. Many changes were initiated quickly, often with rapid dissemination of information to women. The aim of this study was to better understand what information and messages were circulating regarding COVID-19 and pregnancy in Australia and potential information gaps.

METHODS

This study adopted a qualitative approach using social media and interviews. A data analytics tool (TIGER-C19) was used to extract data from social media platforms Reddit and Twitter from June to July 2021 (in the middle of the third COVID-19 wave in Australia). A total of 21 individual semi-structured interviews were conducted with those who were, or had been, pregnant in Australia since March 2020. Social media data were analysis via inductive content analysis and interview data were thematically analysed.

RESULTS

Social media provided a critical platform for sharing and seeking information, as well as highlighting attitudes of the community towards COVID-19 vaccines in pregnancy. Women interviewed described wanting further information on the risks COVID-19 posed to themselves and their babies, and greater familiarity with the health service during pregnancy, in which they would labour and give birth. Health providers were a trusted source of information. Communication strategies that allowed participants to engage in real-time interactive discussions were preferred. A real or perceived lack of information led participants to turn to informal sources, increasing the potential for exposure to misinformation.

CONCLUSION

It is vital that health services communicate effectively with pregnant women, early and often throughout public health crises, such as the COVID-19 pandemic. This was particularly important during periods of increased restrictions on accessing hospital services. Information and communication strategies need to be clear, consistent, timely and accessible to reduce reliance on informal and potentially inaccurate sources.

Social Networking Services as a Tool for Support of Mothers: A Literature Review

BACKGROUND

Difficulties experienced by mothers in raising their children can be resolved using social networking services (SNSs). Being aware of issues associated with SNSs in such situations may be useful for supporting mothers. We herein review the issues associated with using SNSs to support mothers.

METHODS

This review was conducted using an electronic search engine to search for articles that described issues associated with using SNSs to support mothers, and which were published up to August 2022.

RESULTS

After screening, a total of 19 articles were included. We thematically categorized the contents into three major issues associated with using SNSs for support of mothers: (1) issues on the management side, (2) issues on the user side, and (3) social and environmental issues. The mainly discussed issues were the safety of using SNSs and/or securing and training human resources on the management side, busyness of mothers on the user side, as well as sociocultural and communication environment-related limitations as social and environmental issues.

CONCLUSIONS

The issues we detected would aid in developing the use of SNSs as a tool to support mothers. Further research on these issues is needed.

Primiparous women's knowledge of diastasis recti abdominis, concerns about abdominal appearance, treatments, and perceived abdominal muscle strength 6-8 months postpartum. A cross sectional comparison study

BACKGROUND

Diastasis recti abdominis (DRA) is a prevalent condition in the postpartum period. To date, there is scant knowledge on how DRA influences physical, mental, and emotional health. This study investigates primiparous women`s knowledge about DRA, concerns about abdominal appearance, and perceived abdominal muscle strength, comparing women with and without reported DRA.

METHODS

This was a cross-sectional comparison study. Data were collected by a web-based questionnaire, mainly through social media in Norway. To be included in the study women had to be primiparous 6-8 months postpartum. The questionnaire contained questions regarding women`s knowledge about DRA, perceived protrusion, received treatment, concerns with abdominal appearance and muscle strength. Abdominal body image was measured through the shape concern questions from The Eating Disorder Examination questionnaire (EDE-Q 6.0). Demographic and other descriptive variables are presented as means with standard deviations (SD) or as frequencies with percentages. Chi-square test of independence and independent sample t-tests were used to compare differences between women with and without abdominal protrusion for categorical and continuous variables, respectively.

RESULTS

Our sample consisted of 460 women. Knowledge about DRA was reported by 415/440 (94.3%) women. A total of 73.3% reported to have been worried during pregnancy about abdominal appearance postpartum. Mean degree of concern about present abdominal appearance was 5.5/10 (SD 2.4). Almost 80% experienced weaker abdominal muscles than pre-pregnancy. Ninety-six women (20.9%) reported a protrusion along the midline of their abdomen. Significantly more women with protrusion reported weaker abdominal muscles than women without protrusion. The most frequent treatment women with protrusion reported were exercises for the abdominal muscles (92.6%). Mean score on the EDE-Q, shape concern questions, was higher in women with reported protrusion (mean score: 2.37 (SD 1.6) than women without protrusion (mean score: 2.14 (SD 1.4), p = 0.175.

CONCLUSION

Primiparous women are concerned about abdominal appearance both during pregnancy and after birth. Those reporting abdominal protrusion are less satisfied with their abdominal appearance and they report weaker abdominal muscles than women without protrusion. This study may contribute to improved knowledge about women`s health concerns, and assessment of DRA should be part of routine follow-up of postpartum women.

How do Internet moms raise children? The reshaping of Chinese urban women’s parenting psychology by COVID-19 online practices

With the acceleration of social transformation and “mediatization,” urban women’s parenting practices have become an important factor affecting the demographic structure and national development. The global COVID-19 pandemic has further contributed to the networking of social life and the creation of “Internet moms” who rely on the Internet for parenting interactions. Using a mixed-methods design, this paper conducted participant observation and in-depth interviews with 90 mothers from various industries born after 1980/1990 across multiple geographies in China to examine the impact of urban women’s Internet practices on the psychology and practice of parenting during the COVID-19 pandemic, as well as how they were empowered by media technologies to practice motherhood and complete their role socialization through the sharing of parenting information, experiences, and actions. The purpose of this qualitative study was to investigate the changing impact of Internet-based parenting practices on Chinese urban women’s daily lives during the COVID-19 pandemic. Through the analysis of these influences, it was found that the whole society, including urban parenting groups, paid attention to self-expression and self-worth and further hoped to arouse society’s recognition, face up to the identity of “mother” and “female,” and give more attention and support to women. The study also found that, as interpersonal communication channels were hindered during the COVID-19 pandemic, the power of the Internet, represented by social media, has created a new platform for information empowerment, action mutual, and ideation of motherhood for urban women formerly bound to family and parenting matters. From individual, family, and individual parenting experiences to group, social, and shared scenarios, urban women are engaged in emotional and memory interactions, including motherhood-related expression, experiences, and collaboration. This shift from virtual to physical has reshaped their parenting view, helping them break through the confines of family experience and traditional customs in addition to providing psychological motivation to express their gender concepts, shape their self-image, construct gender power, and interpret intimate relationships, pushing them to become more reflective of the times, as well as more capable and authoritative.

Present Situation and the Future Development of Web-Based Prenatal Education in China: Cross-sectional Web-Based Survey

Background

Pregnancy serves as an important chapter in the life of women since more attention needs to be paid to both their physical and psychological health during this period. Adequate prenatal knowledge plays a key role in ensuring the health and safety of not only the pregnant women but also their fetuses and the entire family. With the development of information technology, web-based prenatal education has been brought into focus owing to its accessibility to comprehensive information, with high-quality information available to improve the quality of the overall gestation period, labor process, perinatal outcomes, and fetal outcomes.

Objective

This study aims to investigate the present situation of web-based prenatal education and to predict the future research direction of web-based prenatal education in China, thereby providing insights into improving the quality of health care of pregnant women.

Methods

A national cross-sectional study was conducted on 590,912 pregnant women in 31 provincial administrations of mainland China between August 2018 and August 2019. These pregnant women were initially recruited from local hospitals across the nation during antenatal and postnatal periods via a web-based education school. Demographic information and course completion status (including the categories and the number of courses they completed) of all the participants were collected.

Results

A total of 590,912 pregnant women participated in the web-based prenatal education in 2018. Among them, 188,508 (31.90%) participants were excluded because they did not complete any course, while 17,807 (3.01%) actively participated in web-based prenatal education and completed more than 100 courses. There were 5 categories of web-based courses; almost half of the pregnant women attended the courses on first and second trimesters (293,262/590,912, 49.63% and 298,168/590,912, 50.46%, respectively). We found that pregnant women were more concerned about the gestational diet, fetal-related knowledge, and other precautions before the labor.

Conclusions

In the era of digitalization where information is rapidly disseminated, web-based prenatal education could become a more convenient, productive, and effective pathway for pregnant women since it could help them obtain adequate and optimal pregnancy-related information and gain more intellectual awareness about their pregnancy or preparation for pregnancy.

What topics are women interested in during pregnancy: exploring the role of social media as informational and emotional support

BACKGROUND

Social media plays an important role as a source for obtaining or sharing health information. It is frequently used as a resource by pregnant women who seek information and emotional support regarding their physical and role changes. To provide high-quality support for pregnant women, it is important to determine what topics they want information on from social media during their pregnancy, and what effects they expect from each topic. This study investigates what topics pregnant women are interested in according to their stage of pregnancy and need for informational or emotional support from each topic of interest.

METHODS

An online survey was conducted with 302 pregnant Korean women. The survey questionnaires included information sources and experience of social media. Along with the questionnaires, they were asked to describe three to ten health topics that they were most interested in in the last two weeks.

RESULTS

Social media (72.85%) and search engines (72.85%) were found to be most frequently used for pregnancy-related health information. The topics of interest slightly differed by stage, but mainly postpartum care, pregnancy symptoms, and daily life issues ranked high. Mood related topics appeared frequently among women in their first trimester or post-partum stage of pregnancy. Informational support was mostly needed for daily life issues, and emotional support needs centered mostly around stories about family and mood during pregnancy.

CONCLUSIONS

Pregnant women have different needs for informational or emotional support, depending on their stage of pregnancy and their topics of interest. Therefore, social media support should be delivered with varying content and platforms tailored to women's needs at each trimester.

Does Citizen Engagement With Government Social Media Accounts Differ During the Different Stages of Public Health Crises? An Empirical Examination of the COVID-19 Pandemic

Background

The COVID-19 pandemic has created one of the greatest challenges to humankind, developing long-lasting socio-economic impacts on our health and wellbeing, employment, and global economy. Citizen engagement with government social media accounts has proven crucial for the effective communication and management of public health crisis. Although much research has explored the societal impact of the pandemic, extant literature has failed to create a systematic and dynamic model that examines the formation mechanism of citizen engagement with government social media accounts at the different stages of the COVID-19 pandemic. This study fills this gap by employing the Heuristic-Systematic Model and investigating the effects of the heuristic clues including social media capital, information richness, language features, dialogic loop, and the systematic clue including content types, on citizen engagement with government social media across three different stages of the pandemic, employing the moderating role of emotional valence.

Methods

The proposed model is validated by scraping 16,710 posts from 22 provincial and municipal government micro-blog accounts in the Hubei province, China.

Results

Results show that the positive effects of social media capital on citizen engagement were observed at all stages. However, the effects of information richness, language features, dialogic loop, and content types, and the moderating effect of emotional valence, varied across the different pandemic development stages.

Conclusions

The findings provide suggestions for the further effective use of government social media, and better cope with crises. Government agencies should pay attention to the content and form of information shared, using technical means to analyze the information needs of citizens at different stages of public health emergencies, understanding the content most concerned by citizens, and formulating the content type of posts.

Internet-Based Information Behavior After Pregnancy Loss: Interview Study

BACKGROUND

Information behavior describes all human behaviors in relation to information. Individuals experiencing disruption or stigma often use internet-based tools and spaces to meet their associated information needs. One such context is pregnancy loss, which, although impactful and common, has been absent from much of feminist and reproductive health and information behavior scholarship. By understanding information behavior after pregnancy loss and accounting for it in designing internet-based information spaces, we can take a meaningful step toward countering the stigma and silence that many who experience such loss endure, facilitate coping, and make space for diverse pregnancy narratives in our society.

OBJECTIVE

This study's objective is to provide a characterization of internet-based information behavior after pregnancy loss.

METHODS

We examined internet-based information behavior after pregnancy loss through 9 in-depth interviews with individuals residing in the United States. We analyzed the data by using open and axial coding.

RESULTS

We identified the following three themes in relation to participants' information behavior in internet-based spaces: needed information types, information-related concerns, and information outcomes. We drew from information behavior frameworks to interpret the processes and concerns described by participants as they moved from recognizing information needs to searching for information and to using information and experiencing outcomes. Specifically, we aligned these themes with information use concepts from the information behavior literature-information search, knowledge construction, information production, information application, and information effects. Participants' main concerns centered on being able to easily find information (ie, searchability), particularly on topics that had already been covered (ie, persistence), and, once found, being able to assess the information for its relevance, helpfulness, and credibility (ie, assessability). We suggest the following design implications that support health information behavior: assessability, persistence, and searchability.

CONCLUSIONS

We examined internet-based information behavior in the context of pregnancy loss, an important yet silenced reproductive health experience. Owing to the prevalence of information seeking during pregnancy, we advocate that generic pregnancy-related information spaces should address the needs related to pregnancy loss that we identified in addition to spaces dedicated to pregnancy loss. Such a shift could not only support those who use these spaces to manage pregnancies and then experience a loss but also help combat the silence and stigma associated with loss and the linear and normative narrative by which pregnancies are often represented.

Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: Systematic Review

BACKGROUND

Understanding consumers' health information needs across all stages of the pregnancy trajectory is crucial to the development of mechanisms that allow them to retrieve high-quality, customized, and layperson-friendly health information.

OBJECTIVE

The objective of this study was to identify research gaps in pregnancy-related consumer information needs and available information from different sources.

METHODS

We conducted a systematic review of CINAHL, Cochrane, PubMed, and Web of Science for relevant articles that were published from 2009 to 2019. The quality of the included articles was assessed using the Critical Appraisal Skills Program. A descriptive data analysis was performed on these articles. Based on the review result, we developed the Pregnancy Information Needs Ontology (PINO) and made it publicly available in GitHub and BioPortal.

RESULTS

A total of 33 articles from 9 countries met the inclusion criteria for this review, of which the majority were published no earlier than 2016. Most studies were either descriptive (9/33, 27%), interviews (7/33, 21%), or surveys/questionnaires (7/33, 21%); 20 articles mentioned consumers' pregnancy-related information needs. Half (9/18, 50%) of the human-subject studies were conducted in the United States. More than a third (13/33, 39%) of all studies focused on during-pregnancy stage; only one study (1/33, 3%) was about all stages of pregnancy. The most frequent consumer information needs were related to labor delivery (9/20, 45%), medication in pregnancy (6/20, 30%), newborn care (5/20, 25%), and lab tests (6/20, 30%). The most frequently available source of information was the internet (15/24, 63%). PINO consists of 267 classes, 555 axioms, and 271 subclass relationships.

CONCLUSIONS

Only a few articles assessed the barriers to access to pregnancy-related information and the quality of each source of information; further work is needed. Future work is also needed to address the gaps between the information needed and the information available.

Sources of information used by women during pregnancy and the perceived quality

Background

Access to reliable information is critical to women’s experience and wellbeing during pregnancy and childbirth. In our information-rich society, women are exposed to a wide range of information sources. The primary objective of this study was to explore women’s use of information sources during pregnancy and to examine the perceived usefulness and trustworthiness of these sources.

Method

A quantitative cross-sectional study of Dutch women's experiences with various information sources during pregnancy, including professional (e.g. healthcare system), and informal sources, divided into conventional (e.g. family or peers) and digital sources (e.g. websites or apps). Exploratory backward stepwise multiple regression was performed to identify associations between the perceived quality of information sources and personal characteristics.

Results

A total of 1922 pregnant women were included in this study. The most commonly used information sources were midwives (91.5%), family or friends (79.3%), websites (77.9%), and apps (61%). More than 80% of women found professional information sources trustworthy and useful, while digital sources were perceived as less trustworthy and useful. Personal factors explain only a small part of the variation in the perceived quality of information sources.

Conclusion

Even though digital sources are perceived as less trustworthy and useful than professional and conventional sources, they are among the most commonly used sources of information for pregnant women. To meet the information needs of the contemporary generation of pregnant women it is essential that professionals help in the development of digital information sources.

Social Media Use for Health Purposes: Systematic Review

Background

Social media has been widely used for health-related purposes, especially during the COVID-19 pandemic. Previous reviews have summarized social media uses for a specific health purpose such as health interventions, health campaigns, medical education, and disease outbreak surveillance. The most recent comprehensive review of social media uses for health purposes, however, was conducted in 2013. A systematic review that covers various health purposes is needed to reveal the new usages and research gaps that emerge in recent years.

Objective

This study aimed to provide a systematic review of social media uses for health purposes that have been identified in previous studies.

Methods

The researchers searched for peer-reviewed journal articles published between 2006 and 2020 in 12 databases covering medicine, public health, and social science. After coding the articles in terms of publication year, journal area, country, method, social media platform, and social media use for health purposes, the researchers provided a review of social media use for health purposes identified in these articles.

Results

This study summarized 10 social media uses for various health purposes by health institutions, health researchers and practitioners, and the public.

Conclusions

Social media can be used for various health purposes. Several new usages have emerged since 2013 including advancing health research and practice, social mobilization, and facilitating offline health-related services and events. Research gaps exist regarding advancing strategic use of social media based on audience segmentation, evaluating the impact of social media in health interventions, understanding the impact of health identity development, and addressing privacy concerns.

Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site

In recent years, the social web has been increasingly used for health information seeking, sharing, and subsequent health-related research. Women often use the Internet or social networking sites to seek information related to pregnancy in different stages. They may ask questions about birth control, trying to conceive, labor, or taking care of a newborn or baby. Classifying different types of questions about pregnancy information (e.g., before, during, and after pregnancy) can inform the design of social media and professional websites for pregnancy education and support. This research aims to investigate the attention mechanism built-in or added on top of the BERT model in classifying and annotating the pregnancy-related questions posted on a community Q&A site. We evaluated two BERT-based models and compared them against the traditional machine learning models for question classification. Most importantly, we investigated two attention mechanisms: the built-in self-attention mechanism of BERT and the additional attention layer on top of BERT for relevant term annotation. The classification performance showed that the BERT-based models worked better than the traditional models, and BERT with an additional attention layer can achieve higher overall precision than the basic BERT model. The results also showed that both attention mechanisms work differently on annotating relevant content, and they could serve as feature selection methods for text mining in general.

Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study

Pregnancy often imposes risks on women's health. Consumers are increasingly turning to online resources (e.g., online health communities) to look for pregnancy-related information for better care management. To inform design opportunities for online support interventions, it is critical to thoroughly understand consumers' information needs throughout the entire course of pregnancy including three main stages: pre-pregnancy, during-pregnancy, and postpartum. In this study, we present a content analysis of pregnancy-related question posts on Yahoo! Answers to examine how they formulated their inquiries, and the types of replies that information seekers received. This analysis revealed 14 main types of information needs, most of which were "stage-based". We also found that peers from online health communities provided a variety of support, including affirmation of pregnancy, opinions or suggestions, health information, personal experience, and reference to health providers' service. Insights derived from the findings are drawn to discuss design opportunities for tailoring informatics interventions to support consumers' information needs at different pregnancy stages.

Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data

BACKGROUND

The COVID-19 pandemic has created a global health crisis that is affecting economies and societies worldwide. During times of uncertainty and unexpected change, people have turned to social media platforms as communication tools and primary information sources. Platforms such as Twitter and Sina Weibo have allowed communities to share discussion and emotional support; they also play important roles for individuals, governments, and organizations in exchanging information and expressing opinions. However, research that studies the main concerns expressed by social media users during the pandemic is limited.

OBJECTIVE

The aim of this study was to examine the main concerns raised and discussed by citizens on Sina Weibo, the largest social media platform in China, during the COVID-19 pandemic.

METHODS

We used a web crawler tool and a set of predefined search terms (New Coronavirus Pneumonia, New Coronavirus, and COVID-19) to investigate concerns raised by Sina Weibo users. Textual information and metadata (number of likes, comments, retweets, publishing time, and publishing location) of microblog posts published between December 1, 2019, and July 32, 2020, were collected. After segmenting the words of the collected text, we used a topic modeling technique, latent Dirichlet allocation (LDA), to identify the most common topics posted by users. We analyzed the emotional tendencies of the topics, calculated the proportional distribution of the topics, performed user behavior analysis on the topics using data collected from the number of likes, comments, and retweets, and studied the changes in user concerns and differences in participation between citizens living in different regions of mainland China.

RESULTS

Based on the 203,191 eligible microblog posts collected, we identified 17 topics and grouped them into 8 themes. These topics were pandemic statistics, domestic epidemic, epidemics in other countries worldwide, COVID-19 treatments, medical resources, economic shock, quarantine and investigation, patients' outcry for help, work and production resumption, psychological influence, joint prevention and control, material donation, epidemics in neighboring countries, vaccine development, fueling and saluting antiepidemic action, detection, and study resumption. The mean sentiment was positive for 11 topics and negative for 6 topics. The topic with the highest mean of retweets was domestic epidemic, while the topic with the highest mean of likes was quarantine and investigation.

CONCLUSIONS

Concerns expressed by social media users are highly correlated with the evolution of the global pandemic. During the COVID-19 pandemic, social media has provided a platform for Chinese government departments and organizations to better understand public concerns and demands. Similarly, social media has provided channels to disseminate information about epidemic prevention and has influenced public attitudes and behaviors. Government departments, especially those related to health, can create appropriate policies in a timely manner through monitoring social media platforms to guide public opinion and behavior during epidemics.

Second Opinions: Negotiating Agency in Online Mothering Forums

Study background

Online forums and other virtual communities are an increasing source of postpartum support and information for first-time mothers. However, there is little evidence about how new mothers in Canada access and use online resources.

Purpose

The purpose of this study was to examine how first-time mothers accessed information and support both online and off-line during the first six months postpartum and how their experiences were constructed through social and institutional discourses.

Methods

A qualitative feminist poststructuralist approach was used to analyze an online discussion board with first-time mothers in Nova Scotia.

Results

Mothers who used the online discussion board experienced a sense of community with other mothers where empathy and encouragement were integral to the ways in which information and support were shared. “Weak ties” (with strangers) were important and led to the following themes: (a) empathy, encouragement, and information; (b) socialization; (c) blurring the boundaries of online and off-line networks; and (d) Developing community.

Conclusions

These online forums offer insight for health professionals looking to improve mothers’ care postpartum and point to a need to foster spaces for new mothers to talk to each other.

Biased Sampling and Causal Estimation of Health-Related Information: Laboratory-Based Experimental Research

Background

The internet is a relevant source of health-related information. The huge amount of information available on the internet forces users to engage in an active process of information selection. Previous research conducted in the field of experimental psychology showed that information selection itself may promote the development of erroneous beliefs, even if the information collected does not.

Objective

The aim of this study was to assess the relationship between information searching strategy (ie, which cues are used to guide information retrieval) and causal inferences about health while controlling for the effect of additional information features.

Methods

We adapted a standard laboratory task that has previously been used in research on contingency learning to mimic an information searching situation. Participants (N=193) were asked to gather information to determine whether a fictitious drug caused an allergic reaction. They collected individual pieces of evidence in order to support or reject the causal relationship between the two events by inspecting individual cases in which the drug was or was not used or in which the allergic reaction appeared or not. Thus, one group (cause group, n=105) was allowed to sample information based on the potential cause, whereas a second group (effect group, n=88) was allowed to sample information based on the effect. Although participants could select which medical records they wanted to check—cases in which the medicine was used or not (in the cause group) or cases in which the effect appeared or not (in the effect group)—they all received similar evidence that indicated the absence of a causal link between the drug and the reaction. After observing 40 cases, they estimated the drug–allergic reaction causal relationship.

Results

Participants used different strategies for collecting information. In some cases, participants displayed a biased sampling strategy compatible with positive testing, that is, they required a high proportion of evidence in which the drug was administered (in the cause group) or in which the allergic reaction appeared (in the effect group). Biased strategies produced an overrepresentation of certain pieces of evidence at the detriment of the representation of others, which was associated with the accuracy of causal inferences. Thus, how the information was collected (sampling strategy) demonstrated a significant effect on causal inferences (F_1,185=32.53, P<.001, η^2p=0.15) suggesting that inferences of the causal relationship between events are related to how the information is gathered.

Conclusions

Mistaken beliefs about health may arise from accurate pieces of information partially because of the way in which information is collected. Patient or person autonomy in gathering health information through the internet, for instance, may contribute to the development of false beliefs from accurate pieces of information because search strategies can be biased.

Effects of Health Information Dissemination on User Follows and Likes during COVID-19 Outbreak in China: Data and Content Analysis

Background: COVID-19 has greatly attacked China, spreading in the whole world. Articles were posted on many official WeChat accounts to transmit health information about this pandemic. The public also sought related information via social media more frequently. However, little is known about what kinds of information satisfy them better. This study aimed to explore the characteristics of health information dissemination that affected users' information behavior on WeChat. Methods: Two-wave data were collected from the top 200 WeChat official accounts on the Xigua website. The data included the change in the number of followers and the total number of likes on each account in a 7-day period, as well as the number of each type of article and headlines about coronavirus. It was used to developed regression models and conduct content analysis to figure out information characteristics in quantity and content. Results: For nonmedical institution accounts in the model, report and story types of articles had positive effects on users' following behaviors. The number of headlines on coronavirus positively impacts liking behaviors. For medical institution accounts, report and science types had a positive effect, too. In the content analysis, several common characteristics were identified. Conclusions: Characteristics in terms of the quantity and content in health information dissemination contribute to users' information behavior. In terms of the content in the headlines, via coding and word frequency analysis, organizational structure, multimedia applications, and instructions-the common dimension in different articles-composed the common features in information that impacted users' liking behaviors.

How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees

During the last two decades, social media has immersed itself into all facets of our personal and professional lives. The healthcare sector is no exception, with public health departments now capitalizing on the benefits that social media offers when delivering healthcare education and communication with citizens. Provincial Health Committees (PHCs) in China have begun to adopt the micro-video sharing platform, Tik Tok, to engage with local residents and communicate health-related information. This study investigates the status quo of official Tik Tok accounts managed by PHCs in mainland China. In total, 31 PHC accounts were analyzed during August 2019, while the top 100 most liked micro-videos were examined using content analysis. Coding included three major aspects: Quantified Impact, Video Content, and Video Form. 45.2% (n = 14) of PHCs had official Tik Tok accounts. A limited number of accounts (n = 2) were yet to upload a micro-video, while most (n = 9) had uploaded their first micro-video during 2019. For the top 100 most liked micro-videos, a sharp difference was observed in terms of number of Likes, Comments and Reposts. Videos containing cartoons or documentary-style content were most frequently watched by citizens. Similarly, content that promoted professional health or provided knowledge of diseases was frequently viewed. Content containing original music, formal mandarin language, subtitles, and which lasted less than 60 s, were most frequently followed. It is considered a missed opportunity that most PHCs struggle to take advantage of the Tik Tok platform, especially given its growing popularity and daily increase in account creation.