A social network analysis of supportive interactions on prenatal sites

Social networking: An analysis of health-related social support messages posted in a Facebook group for Kashmiri women

The support groups within social networking sites such as Facebook have become a popular platform for various kinds of conversation and social support including health, especially among women. The aim of this study was to explore and analyze the types of health-related social support messages posted in a month by Kashmiri women in a Facebook group and the most common health topics for which social support was sought. A total of 302 health-related posts were selected for analysis. The results revealed that of various health-related social support posts in the group, informational support messages were posted more frequently and most requested information was related to pregnancy.

Social Media and Black Maternal Health: The Role of Health Literacy and eHealth Literacy

BACKGROUND

Black women experience greater maternal mortality and morbidity than White women. Although there are many causes of this disparity, providing more and better maternal health information to this population may be beneficial. Social media offers a way to easily and quickly disseminate information to empower and educate Black women about health during pregnancy.

OBJECTIVE

This study sought to identify social media use patterns to determine what sources Black women used to obtain information about pregnancy and to explore whether health literacy/eHealth literacy influence those patterns.

METHODS

This cross-sectional, nationally representative survey panel included 404 Black women. Health literacy was measured by the Single Item Literacy Screener, and eHEALS was used to measure eHealth literacy. We examined participants' social media activity, social media use, social media use for support, and sharing of pregnancy-related health information. Relationships between health literacy, eHealth literacy, and social media use were assessed.

KEY RESULTS

Overall, 67.5% of participants had high health literacy, and the average eHealth literacy score was high (34.5). Most women (71.6%) reported using more than three social media accounts as a source for pregnancy information. Women with low health literacy searched social media for general and specific pregnancy health information, reported more social media use during pregnancy in general (p < .001), and more use of social media for giving and getting support (p = .003). Women with higher eHealth literacy were more likely to report more social media use (r = 0.107, p = .039) and often used social media to give and get support (r = 0.197, p = .0001). Women with high health literacy more often reported sharing the pregnancy information they found on social media with their nurse (χ² = 7.068, p = .029), doula (χ² = 6.878, p = .032), and childbirth educator (χ² = 10.289, p = .006). Women who reported higher eHealth literacy also reported more often sharing the pregnancy information they found on social media with their doctor (r = 0.115, p = .030), nurse (r = 0.139, p = .001), coworkers (r = 0.160, p = .004), and family or friends (r = 0.201, p = .0001).

CONCLUSION

Substantial numbers of Black women use social media to find pregnancy health information. Future studies should elicit more detailed information on why and how Black women use social media to obtain pregnancy information and support as well as what role health literacy and eHealth literacy may have on birth outcomes. [HLRP: Health Literacy Research and Practice. 2023;7(3):e119-e129.].

Content Analysis of Social Support, and Disease Framing of Klinefelter Syndrome and Down Syndrome: Social Support, Framing and Decision Tendencies

The Internet plays a crucial role for people searching for health information. In the context of parents faced with a prenatal diagnosis of a chromosomal abnormality, Internet-based resources convey critical information and attitudes that bear on the process of healthcare decision-making. In this study, we collected and analyzed 268 websites for Klinefelter syndrome and Down syndrome, which are two of the most common genetic conditions marked by an abnormal number of chromosomes. While these two syndromes are quite different in terms of their associated symptoms and health consequences, they are commonly screened for, have similar incidence rates, and parents who are presented with prenatal diagnosis of the two conditions terminate pregnancies at similar rates. The study found substantial differences in framings of information, and social support available online for Klinefelter syndrome and Down syndrome. This study's key finding supports the argument that social support and framing are important mechanisms that mediate online information and perceptions of information utility, hope and decision tendency. The study extends theories and literature related to information framing in a mass media context, social support, and cognitive information processing and applies to investigating online health information, social support and perceptions.

The influence of lifestyles to cope with stress over mental health in pregnant and postpartum women during the COVID-19 pandemic

The COVID-19 pandemic affected daily life routines and lifestyles of pregnant and postpartum women and increased their stress and risk of suffering from mental health problems. The aim of this study was to analyse which sociodemographic variables, COVID-19 exposure variables and lifestyles to cope with stress variables predicted anxiety, depression, and PTSD symptoms in pregnant and postpartum women during the COVID-19 pandemic. A cross-sectional design was performed with a sample of 3356 Spanish women participating in the Riseup-PPD-COVID-19 study. These participants completed an online survey composed of measures of anxiety (GAD-7), depression (EPDS), and PTSD related to COVID-19 (Checklist DSM-5), as well as demographics, exposure to COVID-19, and lifestyles to cope with stress. Regarding results, 47.2% showed depression and a third reported anxiety, whereas moderate scores were observed in PTSD symptoms. The most commonly used strategies to cope with stress in the COVID-19 pandemic were talking with friends and family and increasing time with social networks. Better results in mental health were associated with coping strategies such as talking with family and friends or participating in family activities, physical activity, sleeping well at night, eating healthier, and increasing personal care. Furthermore, poor results in mental health were observed in those participants who increased time with screens, ate fast food, reported substance use, and talked more frequently with health professionals. More symptoms were also observed in younger women, primiparous women, and those who reported more exposure to COVID-19. The results underline the need to strengthen the mental health of pregnant and postpartum women. Trial registration: ClinicalTrials.gov Identifier: NCT04595123.

The miscarriage circle of care: towards leveraging online spaces for social support

Background

Lack of social support during and after miscarriage can greatly affect mental wellbeing. With miscarriages being a common experience, there remains a discrepancy in the social support received after a pregnancy is lost.

Method

42 people who had experienced at least one miscarriage took part in an Asynchronous Remote Community (ARC) study. The study involved 16 activities (discussions, creative tasks, and surveys) in two closed, secret Facebook groups over eight weeks. Descriptive statistics were used to analyse quantitative data, and content analysis was used for qualitative data.

Results

There were two main miscarriage care networks, formal (health care providers) and informal (friends, family, work colleagues). The formal care network was the most trusted informational support source, while the informal care network was the main source of tangible support. However, often, participants’ care networks were unable to provide sufficient informational, emotional, esteem, and network support. Peers who also had experienced miscarriage played a crucial role in addressing these gaps in social support. Technology use varied greatly, with smartphone use as the only common denominator. While there was a range of online support sources, participants tended to focus on only a few, and there was no single common preferred source.

Discussion

We propose a Miscarriage Circle of Care Model (MCCM), with peer advisors playing a central role in improving communication channels and social support provision. We show how the MCCM can be used to identify gaps in service provision and opportunities where technology can be leveraged to fill those gaps.

Telehealth adoption during the COVID-19 pandemic: A social media textual and network analysis

Objective

The telemedicine industry has rapidly grown during the COVID-19 pandemic, and telemedicine has become a common form of care. The present study looks at the online conversation regarding telemedicine at the beginning of the pandemic and one year later. The Technology Acceptance Model is utilized to explain the findings.

Methods

Brandwatch and NUVI software captured social mentions on Twitter regarding telemedicine during the beginning of the pandemic (March 15, 2020–April 20, 2020) and one year later (March 12, 2021–April 19, 2021). SAS text-mining software analyzed the social mentions and organized them into ten unique topics for each time period. The research team analyzed the topics and organized them into themes. A network analysis was also performed to examine structure and influence within the network.

Results

In March–April 2020, the themes focused on the use of telehealth in general, telehealth for mental health applications, and Medicare covering telehealth services. In March–April 2021, the themes focused on news events regarding telehealth and the rise in prominence of telehealth services. The network analysis shows a shift in the distribution of telehealth information among influential accounts and reveals that the network became more connected, with a change in the control of information spread.

Conclusions

Technology Acceptance Model explains the social acceptance and spread of telemedicine. The transition in the conversation about telemedicine suggests a pattern of greater system use consistent with the Technology Acceptance Model. Telemedicine may have greatly increased in use because of the pandemic, but data suggests that its use may persist after the pandemic subsides.

Support-Seeking Strategies and Social Support Provided in Chinese Online Health Communities Related to COVID-19

Online health communities have become one of the most important means for people to seek social support during the coronavirus 2019 disease (COVID-19) pandemic. This study details content analysis of support-seeking strategies and social support offered on the online forum "Baidu COVID-19bar" across different stages of initial stage as well as during the entire initial stage of the COVID-19 pandemic. The results show that asking for support and disclosing directly were the main strategies used across the different stages and during the entire initial stage. Informational support and emotional support were the most common types sought in the first two stages and the entire initial stage, and informational support was the main type during the decline stage. Furthermore, asking for support was more likely to elicit informational support while disclosing directly was more likely to elicit emotional support. Theoretical and practical implications of the findings are discussed.

Can Less Ever Be More? A Model of Emotion Regulation Repertoire of Social Support (ERROSS)

Do people really fare better if they can rely on many social ties? Research suggests that benefits of interpersonal emotion regulation (ER) can be derived from both large and small social networks. Building on the intrapersonal regulatory flexibility model, we propose the emotion regulation repertoire of social support (ERROSS) model that views effective socioemotional support as the combination of network size and ER strategies, resulting in a repertoire of ER resources one can draw on. Best outcomes in mental health should follow from both a large network and a diverse repertoire of strategies. ERROSS is applied as an example in the context of bereavement, and specific contributions of the model are highlighted.

A Relational Approach to the Design for Peer Support

Peer-support services enhance mental wellbeing and increase the knowledge and capabilities of self-help groups in various settings. To ensure that these services foster peer-support relationships as intended, it is necessary to design and assess them from a relational perspective. This study presents a relational framework for peer-support design and its application to two existing peer-support services for solitary seniors in Seoul and Ulsan. The framework aims to support the analysis and conception of peer-support services. It incorporates network analysis and codesigning to understand multi-faceted peer-support relationships and to develop strategies for creating relational values, respectively. Case studies used observation and interviews to understand the multi-faceted issue of social support. Relational data for fourteen solitary seniors were collected and analyzed in terms of the qualities, quantities, and structure of peer-support relationships. Analysis results demonstrate an increased level of perceived peer support through relationship forming, as well as the factors that suppress peer-support building such as network fragmentation and the discrepancy of needs. Analysis results were fed into codesigning interventions with stakeholders. Based on these findings, we discuss the preconditions for building peer-support relationships and outline the relational approach to the design for peer support in a wider context.

Engagement design in studies on pregnancy and infant health using social media: Systematic review

Social media utilization is prevalent among reproductive-age women. The literature on how researchers engage women in studies using social media platforms is scarce. This systematic review analyzed participant engagement design in studies using social media and focused on pregnancy and infant health.

METHODS

A literature search of EBSCO and PubMed databases was conducted. Included studies had to be completed with quantitative data, focus on pregnancy, postpartum or infant health, and use social media in the research process. A matrix of three engagement designs (passive, interactive, independent) and three research processes (recruitment, data analysis, intervention) was used for analysis.

FINDINGS

Thirty-one articles that reported 30 studies met the inclusion criteria. Of these, four were randomized controlled trials (RCT), four were non-RCT interventions, and 22 were observational/descriptive studies. The main purpose of using social media was for recruitment (n = 16), data analysis (n = 6), intervention (n = 8), or both recruitment and intervention (n = 1). Passive engagement was a fundamental design approach in all studies to access a data source that was either the participant or the data provided by the participants in social media. Interactive engagement, mostly for recruitment and intervention, was to engage participants in completing study enrollment or in interacting with the study team or fellow participants. Independent engagement involved off-line activities and appeared sporadically in intervention studies.

CONCLUSIONS

Passive and interactive engagement designs are more frequently used than independent engagement design. Researchers should select suitable designs when studying pregnancy and infant health using social media.

How Smoking Advocates are Connected Online: An Examination of Online Social Relationships Supporting Smoking Behaviors

Social media platforms can facilitate online relationship formation among people who engage in risky health behavior such as smoking or unprotected sex. The purpose of this study is to gain a better understanding of how individuals who promote risky health behavior are connected with similar others on social media. Focusing on smoking behavior, this study investigates the theoretical mechanisms that drive social connections among pro-smoking users, and examines an empirical instance of one such network structure on Twitter. Consistent with the social identity framework, the study finds that pro-smoking networks manifest higher stance homophily (pro-smoking vs. anti-smoking) and higher network cohesion than anti-smoking networks. Different from the hypothesis, however, the result shows lower network exclusivity than anti-smoking networks. Most pro-smoking users who had social ties with anti-smoking users were found to be individuals rather than pressure groups or organizations. Bridging users on both sides tended to be linked to pressure groups. This paper concluded with discussion of implications of the current findings.

A Cooperative Interdisciplinary Task Intervention with Undergraduate Nursing and Computer Engineering Students

: This study proposed a collaborative methodology among university students in different grades in order to find sustainable strategies that are an added value for students, teachers, and society. In daily professional practice, different professionals must develop skills to collaborate and understand each other. For that reality to be sustainable, we believe that experiences must begin in the context of higher education. Social network analysis offers a new perspective on optimizing relationships between university students. The main goal of this study was to analyze students’ behavior in their networks following an educational intervention and the association with academic performance, resilience and engagement. This was a descriptive quasi-experimental study with pre–post measures of a cooperative interdisciplinary intervention. Participants comprised 50 nursing and computer engineering students. We measured help, friendship, and negative network centrality, engagement, resilience, and academic performance. No significant differences were observed between pre–post-intervention centrality measures in the negative network. However, the help and friendship networks presented statistically significant differences between inDegreeN, OutDegreeN and EigenvectorN on the one hand, and resilience and engagement—but not academic performance—on the other. Academic performance was solely associated with the team to which participants belonged. Cooperative interdisciplinary learning increased the number of ties and levels of prestige and influence among classmates. Further research is required in order to determine the influence of engagement and resilience on academic performance and the role of negative networks in network formation in education. This study provides important information for proposals on sustainable assessments in the field of higher education.

A Social Network Analysis of Cancer Provider Collaboration

Cancer treatment often consists of multiple therapeutic modalities delivered by specialists. As changing reimbursement paradigms move towards quality outcomes and bundled payments, extensive care coordination between healthcare providers is imperative. We developed an approach to quantify care coordination relationships among providers treating breast cancer patients at the Vanderbilt University Medical Center. Our cohort of 1285 providers treated 3924 breast cancer patients, and had 1758 unique provider-provider relationships. Providers treating stage III breast cancer patients had the highest ratio of providers to patients, indicating a more tightly connected network than providers treating stage I or II patients. Network analysis can provide quantitative approaches to understanding the relationships of multi-specialty providers and may inform approaches to measuring the impact of care coordination on outcomes.