Exploring How People Affected by Methamphetamine Exchange Social Support Through Online Interactions on Facebook: Content Analysis

Support sought and offered online for miscarriage: content analysis of a Facebook miscarriage support group

OBJECTIVE

Responses to miscarriage can vary, with many, but not all, people describing inadequate support, feelings of isolation and significant psychological distress. Limited knowledge exists about the support that people seek and offer online following miscarriage. We aimed to explore how people impacted by miscarriage use an online Facebook support group to seek and offer support.

METHODS AND MEASURES

We employed directed content analysis to examine 270 opening posts and 3,484 responding comments within an 'open' Facebook support group for miscarriage. Opening posts and responding comments were coded into five social support categories using an existing support framework.

RESULTS

Informational Support, particularly medical information or advice, was the most commonly sought support in opening posts, followed by Emotional Support, where people expressed their grief-related feelings. In responding comments, Emotional Support and Informational Support were predominantly offered.

CONCLUSION

While not a substitute for appropriate medical care, people impacted by miscarriage seek and offer support online. Health professionals should be aware of this behaviour and discuss potential benefits and risks of online support with patients. A social support framework may usefully guide health professionals in identifying patients' support needs and in knowing how to support patients.

Examining Symptoms of Stimulant Misuse and Community Support Among Members of a Recovery-Oriented Online Community

Misuse of prescription and non-prescription stimulants and related overdose deaths represent a growing public health crisis that warrants immediate intervention. We examined 100 posts and their respective comments from a public, recovery-oriented Reddit community in January 2021 to explore content related to DSM-V stimulant use disorder symptoms, access and barriers to recovery, and peer support. Using inductive and deductive methods, a codebook was developed with the following primary themes: 1) DSM-V Symptoms and Risk Factors, 2) Stigma/Shame, 3) Seeking Advice or Information, 4) Supportive or Unsupportive Comments. In 37% of posts community members reported taking high doses and engaging in prolonged misuse of stimulants. Nearly half of posts in the sample (46%) were seeking advice for recovery, but 42% noted fear of withdrawal symptoms or a loss of productivity (18%) as barriers to abstinence or a reduction in use. Concerns related to stigma, shame, hiding use from others (30%), and comorbid mental health conditions (34%) were also noted. Social media content analysis allows for insight into information about lived experiences of individuals struggling with substance use disorders. Future online interventions should address recovery barriers related to stigma and shame as well as fears associated with the physical and psychological impact of quitting stimulant misuse.

Social Support in a Diabetes Online Community: Mixed Methods Content Analysis

BACKGROUND

Patients with diabetes may experience different needs according to their diabetes stage. These needs may be met via online health communities in which individuals seek health-related information and exchange different types of social support. Understanding the social support categories that may be more important for different diabetes stages may help diabetes online communities (DOCs) provide more tailored support to web-based users.

OBJECTIVE

This study aimed to explore and quantify the categorical patterns of social support observed in a DOC, taking into consideration users' different diabetes stages, including prediabetes, type 2 diabetes (T2D), T2D with insulin treatment, and T2D remission.

METHODS

Data were collected from one of the largest DOCs in Europe: Diabetes.co.uk. Drawing on a mixed methods content analysis, a qualitative content analysis was conducted to explore what social support categories could be identified in users' posts. A total of 1841 posts were coded by 5 human annotators according to a modified version of the Social Support Behavior Code, including 7 different social support categories: achievement, congratulations, network support, seeking emotional support, seeking informational support, providing emotional support, and providing informational support. Subsequently, quantitative content analysis was conducted using chi-square post hoc analysis to compare the most prominent social support categories across different stages of diabetes.

RESULTS

Seeking informational support (605/1841, 32.86%) and providing informational support (597/1841, 32.42%) were the most frequent categories exchanged among users. The overall distribution of social support categories was significantly different across the diabetes stages (χ²₁₈=287.2; P<.001). Users with prediabetes sought more informational support than those in other stages (P<.001), whereas there were no significant differences in categories posted by users with T2D (P>.001). Users with T2D under insulin treatment provided more informational and emotional support (P<.001), and users with T2D in remission exchanged more achievement (P<.001) and network support (P<.001) than those in other stages.

CONCLUSIONS

This is the first study to highlight what, how, and when different types of social support may be beneficial at different stages of diabetes. Multiple stakeholders may benefit from these findings that may provide novel insights into how these categories can be strategically used and leveraged to support diabetes management.

Recommendations for design of a mobile application to support management of anxiety and depression among Black American women

Black American women experience adverse health outcomes due to anxiety and depression. They face systemic barriers to accessing culturally appropriate mental health care leading to the underutilization of mental health services and resources. Mobile technology can be leveraged to increase access to culturally relevant resources, however, the specific needs and preferences that Black women feel are useful in an app to support management of anxiety and depression are rarely reflected in existing digital health tools. This study aims to assess what types of content, features, and important considerations should be included in the design of a mobile app tailored to support management of anxiety and depression among Black women. Focus groups were conducted with 20 women (mean age 36.6 years, SD 17.8 years), with 5 participants per group. Focus groups were led by a moderator, with notetaker present, using an interview guide to discuss topics, such as participants' attitudes and perceptions towards mental health and use of mental health services, and content, features, and concerns for design of a mobile app to support management of anxiety and depression. Descriptive qualitative content analysis was conducted. Recommendations for content were either informational (e.g., information to find a Black woman therapist) or inspirational (e.g., encouraging stories about overcoming adversity). Suggested features allow users to monitor their progress, practice healthy coping techniques, and connect with others. The importance of feeling "a sense of community" was emphasized. Transparency about who created and owns the app, and how users' data will be used and protected was recommended to establish trust. The findings from this study were consistent with previous literature which highlighted the need for educational, psychotherapy, and personal development components for mental health apps. There has been exponential growth in the digital mental health space due to the COVID-19 pandemic; however, a one-size-fits-all approach may lead to more options but continued disparity in receiving mental health care. Designing a mental health app for and with Black women may help to advance digital health equity by providing a tool that addresses their specific needs and preferences, and increase engagement.

Social support in a parenting Facebook group during the COVID-19 pandemic

Objective

This paper includes a mixed methods content analysis of a parenting Facebook group focused on COVID-19. We analyze participants' posts to identify the types of support parents sought and gave.

Background

The COVID-19 pandemic has resulted in increased parental stress and challenges related to children's development. Many families turned to social media as a source of information and social support.

Method

We analyzed 1,180 posts from a large, closed Facebook group focused on parenting during COVID-19. We coded posts using a modified version of social support theory and supplemented this analysis with codes related to giving and receiving support, post format, and topic.

Results

Participants frequently offered informational support, typically reposting content from other sources. There were fewer instances of soliciting support, but these posts had significantly more comments. The most common topics discussed were parenting and child development, remote schooling support, literacy, and adult mental health.

Conclusion

Findings illustrate the benefits and challenges of online support communities for parents, especially those on social media platforms.

Implications

These results suggest areas where parents may need or want support during and after COVID-19 and ways in which social media can serve as a form of parenting social support.

Motivations for sharing personal information and self-disclosure in public and private Facebook groups of mentally ill people

Purpose

This study explores the motivations for sharing personal information and self-disclosure by mentally ill people in public and private Facebook groups. The purpose of the self-disclosure comparison between public and private groups is to understand how mentally ill people use different kinds of online communication channels in order to advance their goals and needs concerning their illness.

Design/methodology/approach

The study was carried out using questionnaires distributed in Facebook groups for people with mental illnesses. A total of 123 full and valid questionnaires were received. Statistical analysis was performed on the data.

Findings

Findings revealed that there are no significant differences between public and private groups concerning motivations for self-disclosure and that both types of groups create a safe and supportive place for mentally ill people. However, findings suggest that participants in public groups tend to display higher social involvement than those who participate in private groups.

Originality/value

This is a path breaking study on the entire subject of discourse of people with mental illnesses in private Facebook groups and its importance is derived from this. The study clarified and emphasized the importance of the sense of belonging to a community. Moreover, findings encourage people with mental illnesses to make use of social media channels to meet their social and personal needs.

Characterizing the content, messaging, and tone of trichotillomania on YouTube: A content analysis

BACKGROUND

Trichotillomania is associated with secrecy and reluctance to seek help due to shame and lack of knowledge. Social media can connect people with similar lived experience. However, there is no literature regarding online communities related to trichotillomania. This study is a content analysis of depictions of trichotillomania on YouTube to identify the potential role of social media in this disorder.

METHODS

We used a cross-sectional observational study to examine the 100 most-viewed YouTube videos for trichotillomania content until June 2018. Up to 96 variables were abstracted from each video including demographics, characteristics of the videos, and depictions of trichotillomania.

RESULTS

View counts ranged from 9,186 to 15,597,149. Uploaders had a mean age of 20.1 years, were mostly female (85%) and appearing Caucasian (63%). Nearly half of the videos were self-filmed stories (48%). Most had a neutral message (44%), provided strategies to stop hair-pulling (31%), or focused on stimulating discussion (17%). Approximately half had a factual tone (51%) and many were hopeful (44%). Videos accurately described hair-pulling and associated characteristics.

LIMITATIONS

This study was limited to an analysis of video content. Future research should examine the comments on the videos as well as other social media platforms. It may also be important to assess the socioeconomic status of video uploaders and ensure the broader accessibility of positive messages on trichotillomania.

CONCLUSIONS

People with trichotillomania may find positive messages, information, and helpful recommendations on YouTube. This may represent an under-leveraged venue to improve clinical outcomes for people with trichotillomania.

Use and uptake of web-based therapeutic interventions amongst Indigenous populations in Australia, New Zealand, the United States of America and Canada: a scoping review

BACKGROUND

Barriers to receiving optimal healthcare exist for Indigenous populations globally for a range of reasons. To overcome such barriers and enable greater access to basic and specialist care, developments in information and communication technologies are being applied. The focus of this scoping review is on web-based therapeutic interventions (WBTI) that aim to provide guidance, support and treatment for health problems.

OBJECTIVES

This review identifies and describes international scientific evidence on WBTI used by Indigenous peoples in Australia, New Zealand, Canada and USA for managing and treating a broad range of health conditions.

ELIGIBILITY CRITERIA

Studies assessing WBTI designed for Indigenous peoples in Australia, Canada, USA and New Zealand, that were published in English, in peer-reviewed literature, from 2006 to 2018 (inclusive), were considered for inclusion in the review. Studies were considered if more than 50% of participants were Indigenous, or if results were reported separately for Indigenous participants.

SOURCES OF EVIDENCE

Following a four-step search strategy in consultation with a research librarian, 12 databases were searched with a view to finding both published and unpublished studies.

CHARTING METHODS

Data was extracted, synthesised and reported under four main conceptual categories: (1) types of WBTI used, (2) community uptake of WBTI, (3) factors that impact on uptake and (4) conclusions and recommendations for practice.

RESULTS

A total of 31 studies met the inclusion criteria. The WBTI used were interactive websites, screening and assessment tools, management and monitoring tools, gamified avatar-based psychological therapy and decision support tools. Other sources reported the use of mobile apps, multimedia messaging or a mixture of intervention tools. Most sources reported moderate uptake and improved health outcomes for Indigenous people. Suggestions to improve uptake included as follows: tailoring content and presentation formats to be culturally relevant and appropriate, customisable and easy to use.

CONCLUSIONS

Culturally appropriate, evidence-based WBTI have the potential to improve health, overcome treatment barriers and reduce inequalities for Indigenous communities. Access to WBTI, alongside appropriate training, allows health care workers to better support their Indigenous clients. Developing WBTI in partnership with Indigenous communities ensures that these interventions are accepted and promoted by the communities.

Patients' Willingness to Share Information in Online Patient Communities: Questionnaire Study

Background

Online patient communities provide new channels for users to access and share medical information. In-depth study of users’ willingness to share information in online patient communities is of great significance for improving the level of information sharing among the patient community and the long-term development of communities.

Objective

The aim of this study was to build a model of factors affecting patients’ willingness to share medical information from the perspective of both positive and negative utilities. Specifically, we aimed to determine the influence of online information support and privacy concerns, as well as the moderating effect of disease severity and information sensitivity of different patients on their willingness to share.

Methods

Data from 490 users with experience in online patient communities were collected through a questionnaire survey, and structural equations were applied to empirically verify the model hypotheses.

Results

Privacy concerns negatively affected the patients’ willingness to share information (P<.001), whereas online information support positively affected patients’ willingness to share information (P<.001), and information sensitivity negatively moderated the impact of online information support on sharing willingness (P=.01). Disease severity positively moderated the impact of privacy concerns on sharing willingness (P=.05). However, the hypotheses that information sensitivity is a negative moderator and disease severity is a positive moderator of the impact of privacy concerns on sharing willingness could not be supported.

Conclusions

To improve the level of user information sharing, the online patient community should design a safe user registration process, ensure the confidentiality of information, reduce the privacy concerns of users, and accurately identify the information needs of patients to provide personalized support services.