Virtual Engagement in a Social Media Community of Mothers With Substance Use Disorders: Content Analysis

Mazel, Shayna; Zisman‐Ilani, Yaara; Hennig, Shannon; Garnick, Deborah W.; Nicholson, Joanne

doi:10.2196/24353

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…Second, most Community Experts were White from Northeastern and Midwestern states. Recruiting a racially diverse group was difficult because a primary source for recruitment was the MMHRC Facebook group page, where most members are Northeastern/Midwestern US white women ( 3 ). Future use of the V-CES method should purposefully address diverse Community Expert populations.…”

Section: Discussionmentioning

confidence: 99%

“…The onset of COVID-19 and its emotional, social and psychological implications, particularly for mothers of childbearing age (e.g., social isolation, working at home with children, difficulty accessing treatment, loss of employment) have been found to be associated with a surge in use of substances (e.g., opioids, cannabis, alcohol), anxiety and depression ( 1 , 2 ). Mothers of childbearing age with pre-existing conditions of mental illness are at a particular higher risk for developing a substance use comorbidity ( 3 , 4 ). Unfortunately, this vulnerable group of women is often less engaged in mental health services and substance use treatment programs, and even less engaged in research projects that presumably target their needs and challenges ( 5 , 6 ).…”

Section: Introductionmentioning

confidence: 99%

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Virtual Community Engagement Studio (V-CES): Engaging Mothers With Mental Health and Substance Use Conditions in Research

Zisman‐Ilani

Buell²,

Mazel³

et al. 2022

Front. Psychiatry

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Active engagement of community stakeholders is increasingly encouraged in behavioral health research, often described as a co-production approach. Community stakeholders (e.g., patients, providers, policy makers, advocates) play a leading role together with research investigators in conducting the various phases of research, including conceptualization, design, implementation, and the interpretation and dissemination of findings. The concept of co-production has promising benefits for both the target population and the research outcomes, such as producing person-centered interventions with greater acceptability and usability potential. However, it is often the case that neither researchers nor community members are trained or skilled in co-production methods. The field of behavioral health research lacks tools and methods to guide and promote the engagement of diverse stakeholders in the research process. The purpose of this methods paper is to describe the Virtual Community Engagement Studio (V-CES) as a new method for engaging vulnerable populations like mothers with mental health and substance use conditions in research. We piloted the method in collaboration with the Maternal Mental Health Research Collaborative (MMHRC), focusing on one of the most vulnerable, under-researched populations, mothers coping with mental health and/or substance abuse disorders. Our pilot included mothers and providers who work with them as Community Experts to inform all phases of research design and implementation, and the interpretation and application of findings. The aim of this article is to describe the V-CES as a powerful tool that supports the engagement of mothers with mental health and/or substance use disorders and other community stakeholders in research, to provide examples of its use, and to make recommendations for future use, based on lessons learned. The V-CES toolkit is available for use with this target population as well as others.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Virtual Community Engagement Studio (V-CES): Engaging Mothers With Mental Health and Substance Use Conditions in Research

Zisman‐Ilani

Buell²,

Mazel³

et al. 2022

Front. Psychiatry

Self Cite

View full text Add to dashboard Cite

show abstract

“…Online communities provide a valuable platform for communication, interaction, and information exchange, allowing first-time mothers to engage in conversations and the sharing of experiences (Brown et al, 2012;Elliott et al, 2022). Such participation has also been associated with increased access to support for expecting mothers with mental health challenges (Mazel et al, 2021). However, alongside the positive effects, online communities can generate adverse outcomes.…”

Section: Introductionmentioning

confidence: 99%

Adapting to motherhood: Online participation in WeChat groups to support first-time mothers

Runxi Zeng,

Hua Zhou,

Evans

2023

Rev. Teknokultura

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This study investigates how first-time mothers participate in online discussions in WeChat groups to support their adaptation to motherhood. Online ethnography and in-depth interviews are employed to examine the psychological and behavioural aspects of these first-time mothers within WeChat groups, as well as the group construction process. The study’s findings show that WeChat groups, formed around common identity, have integrated new media technology into the cultural practices of distinct social groups. Within these groups, first-time mothers establish unique information exchange networks with other first-time mothers, enabling the sharing of experiences, emotions, and resources, ultimately creating de facto identity communities. Moreover, WeChat groups serve as vital channels for acquiring and distributing social capital, expanding parenting resources and social networks. The study highlights the crucial role of WeChat groups in providing support to first-time mothers as they navigate motherhood while fostering a sense of camaraderie and belonging within this virtual community.

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Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions

Storman¹,

Jemioło²,

Świerz³

et al. 2022

JMIR Ment Health

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Background An increasing number of online support groups are providing advice and information on topics related to mental health. Objective This study aimed to investigate the needs that internet users meet through peer-to-peer interactions. Methods A search of 4 databases was performed until August 15, 2022. Qualitative or mixed methods (ie, qualitative and quantitative) studies investigating interactions among internet users with mental disorders were included. The φ coefficient was used and machine learning techniques were applied to investigate the associations between the type of mental disorders and web-based interactions linked to seeking help or support. Results Of the 13,098 identified records, 44 studies (analyzed in 54 study-disorder pairs) that assessed 82,091 users and 293,103 posts were included. The most frequent interactions were noted for people with eating disorders (14/54, 26%), depression (12/54, 22%), and psychoactive substance use disorders (9/54, 17%). We grouped interactions between users into 42 codes, with the empathy or compassion code being the most common (41/54, 76%). The most frequently coexisting codes were request for information and network (35 times; φ=0.5; P<.001). The algorithms that provided the best accuracy in classifying disorders by interactions were decision trees (44/54, 81%) and logistic regression (40/54, 74%). The included studies were of moderate quality. Conclusions People with mental disorders mostly use the internet to seek support, find answers to their questions, and chat. The results of this analysis should be interpreted as a proof of concept. More data on web-based interactions among these people might help apply machine learning methods to develop a tool that might facilitate screening or even support mental health assessment.

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Virtual Engagement in a Social Media Community of Mothers With Substance Use Disorders: Content Analysis

Cited by 3 publications

References 28 publications

Virtual Community Engagement Studio (V-CES): Engaging Mothers With Mental Health and Substance Use Conditions in Research

Virtual Community Engagement Studio (V-CES): Engaging Mothers With Mental Health and Substance Use Conditions in Research

Adapting to motherhood: Online participation in WeChat groups to support first-time mothers

Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions

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