scholarly journals Effects of Support-Seekers’ Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health Communities

2021 ◽  
Author(s):  
Zhenhui Peng ◽  
Xiaojuan Ma ◽  
Diyi Yang ◽  
Ka Wing Tsang ◽  
Qingyu Guo
Keyword(s):  
Mental Health ◽  
Community Knowledge ◽  
Health Communities

scholarly journals Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities

2020 ◽  
Author(s):  
Koustuv Saha ◽  
Amit Sharma
Keyword(s):  
Mental Health ◽  
Online Community ◽  
Psychosocial Outcomes ◽  
Case Control ◽  
Case Control Studies ◽  
Causal Factors ◽  
Health Distress ◽  
Health Communities ◽  
Mental Health Distress ◽  
And Control

Online mental health communities enable people to seek and provide support, and growing evidence shows the efficacy of community participation to cope with mental health distress. However, what factors of peer support lead to favorable psychosocial outcomes for individuals is less clear. Using a dataset of over 300K posts by ∼39K individuals on an online community TalkLife, we present a study to investigate the effect of several factors, such as adaptability, diversity, immediacy, and the nature of support. Unlike typical causal studies that focus on the effect of each treatment, we focus on the outcome and address the reverse causal question of identifying treatments that may have led to the outcome, drawing on case-control studies in epidemiology. Specifically, we define the outcome as an aggregate of affective, behavioral, and cognitive psychosocial change and identify Case (most improved) and Control (least improved) cohorts of individuals. Considering responses from peers as treatments, we evaluate the differences in the responses received by Case and Control, per matched clusters of similar individuals. We find that effective support includes complex language factors such as diversity, adaptability, and style, but simple indicators such as quantity and immediacy are not causally relevant. Our work bears methodological and design implications for online mental health platforms, and has the potential to guide suggestive interventions for peer supporters on these platforms.

scholarly journals Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1133
Author(s):  
Jingfang Liu ◽  
Jun Kong
Keyword(s):  
Mental Health ◽  
Text Mining ◽  
Mental Disorders ◽  
Empirical Analysis ◽  
Online Community ◽  
Information Quality ◽  
Social Experience ◽  
Adoption Model ◽  
Health Communities ◽  
Information Adoption

An online community is one of the important ways for people with mental disorders to receive assistance and obtain support. This study aims to help users with mental disorders to obtain more support and communication through online communities, and to provide community managers with the possible influence mechanisms based on the information adoption model. We obtained a total of 49,047 posts of an online mental health communities in China, over a 40-day period. Then we used a combination of text mining and empirical analysis. Topic and sentiment analysis were used to derive the key variables—the topic of posts that the users care about most, and the emotion scores contained in posts. We then constructed a theoretical model based on the information adoption model. As core independent variables of information quality, on online mental health communities, the topic of social experience in posts (0.368 ***), the topic of emotional expression (0.353 ***), and the sentiment contained in the text (0.002 *) all had significant positive relationships with the number of likes and reposts. This study found that the users of online mental health communities are more attentive to the topics of social experience and emotional expressions, while they also care about the non-linguistic information. This study highlights the importance of helping community users to post on community-related topics, and gives administrators possible ways to help users gain the communication and support they need.

scholarly journals Best Paper Selection

2019 ◽  
Vol 28 (01) ◽  
pp. 179-180
Keyword(s):  
Breast Cancer ◽  
Mental Health ◽  
Text Mining ◽  
Drug Treatment ◽  
Topic Model ◽  
Web Based ◽  
Novel Approach ◽  
Health Communities ◽  
Model Approach

Abdellaoui R, Foulquié P, Texier N, Faviez C, Burgun A, Schück S. Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach. J Med Internet Res 2018;20(3):e85 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874436/ Jones J, Pradhan M, Hosseini M, Kulanthaivel A, Hosseini M. Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer. JMIR Med Inform 2018;6(4):e45 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293240/ Park A, Conway M, Chen AT. Examining Thematic Similarity, Difference, and Membership in Three Online Mental Health Communities from Reddit: A Text Mining and Visualization Approach. Comput Human Behav 2018 Jan;78:98-112 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810583/

scholarly journals Effects of Community-Based Programs on Integration into the Mental Health and Non-Mental Health Communities

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1181
Author(s):  
Mi Kyung Seo ◽  
Min Hwa Lee
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mental Health Service ◽  
Health Service ◽  
Community Integration ◽  
Equation Modeling ◽  
Community Based ◽  
Service Programs ◽  
Health Community ◽  
Health Communities

Aims: The purpose of this study was to verify how integration into the mental health community, a subculture of persons with mental illness, affects the integration into the non-mental health community. Thus, we analyzed the effect of community-based mental health service programs on non-mental health community integration, mediated by mental health community integration. Methods: In total, 190 persons with mental illness (M age = 42.78; SD = 11.3; male, 54.7%; female, 45.3%), living in local communities and using community-based mental health programs, participated in the study. We measured their sociodemographic and clinical variables, the environmental variables of mental health service programs, and the level of integration of the mental health and non-mental health communities. The data collected were analyzed to test the proposed hypotheses using Structural Equation Modeling (SEM). Results: The common significant predictors affecting the two types of community integration were symptoms and resource accessibility: the more accessible the various community resources and the less severe the psychiatric symptoms were, the higher the level of the two types of community integration was. In path analysis, the program’s atmosphere and the participation of people with mental illness (program involvement) significantly predicted the level of integration into the mental health community. This, in turn, had a positive effect on their physical integration, social contact frequency, and psychological integration into the non-mental health community, mediated by the integration of the mental health community. Conclusion: Based on the results, we emphasize the importance of mental health communities and suggest strategies to support the integration of mental health communities.

scholarly journals The Development of an Experience Measure for an Online Digital Mental Health Community

2021 ◽  
Author(s):  
Charlotte Mindel ◽  
Lily Mainstone-Cotton ◽  
Santiago de Ossorno Garcia ◽  
Aaron Sefi ◽  
Georgia Sugarman ◽  
...  
Keyword(s):  
Mental Health ◽  
Action Research ◽  
Participatory Action Research ◽  
Participatory Action ◽  
Digital Service ◽  
Modified Delphi ◽  
Health Community ◽  
Health Communities ◽  
Community Roles ◽  
Experience Measure

Online digital mental health communities can contribute to users’ mental health positively and negatively. Yet the measurement of outcomes and impact relating to digital mental health communities is difficult to capture. In this paper we demonstrate the development of an online experience measure for a specific children and young people’s community inside a digital mental health service. The development is informed by three phases: (i) item reduction through Estimate-Talk-Estimate modified Delphi methods, (ii) user testing with participatory action research and (iii) a pilot within the digital service community to explore its use. Rounds of experts talks help to reduce the items. User experience workshops helped to inform the usability and appearance, wording, and purpose of the measure. Finally, the pilot results highlight completion rates, difference in scores for age and community roles and a preference to ‘relate to others’; as a mechanism of support. Outcomes frequently selected in the measure show the importance of certain aspects of the community, such as safety, connection, and non-judgment previously highlighted in the literature. Self-reported helpfulness scales like this one could be used as indicators of meaningful engagement within the community and its content but further research is required to ascertain its acceptability and validity. Phased approaches involving stakeholders and participatory action research enhances the development of digitally enabled measurement tools.

E-Health Communities for Learning Healthy Habits

2012 ◽  
pp. 310-325
Author(s):  
Åsa Smedberg
Keyword(s):  
Life Style ◽  
Motivational Factors ◽  
The Internet ◽  
Community Members ◽  
Community Knowledge ◽  
Easy Task ◽  
Healthy Habits ◽  
Different Types ◽  
Health Communities

There are e-health communities of many different kinds available on the Internet today. Some e-health communities are for people who need to change their established bad, or unhealthy, habits such as the ones for people suffering from overweight or smoking. To develop and maintain a healthier life-style is not an easy task to succeed with, it involves being able to change everyday situations. E-health communities can assist in this process through continuous interactions between community members. However, whether these e-health communities actively support learning depends on the ways they help community members reflect upon their habits, underlying reasons and motivational factors. In this chapter, the author presents a framework for how to evaluate these e-health communities from a learning perspective. The framework covers different types of conversation topics, ways to respond and community knowledge.

scholarly journals Balancing between discourses of pathology and normality: biographical practice of autoaggression. The case of self-harm

Inter ◽  
2019 ◽  
Vol 11 (20) ◽  
pp. 77-96
Author(s):  
Oxana R. Mikhaylova
Keyword(s):  
Mental Health ◽  
Online Community ◽  
Social Scientists ◽  
Cultural Discourses ◽  
Sociological Approach ◽  
Self Injury ◽  
Self Mutilation ◽  
The Status ◽  
Self Harm ◽  
Health Communities

In this article, the construction of the biographical identity of self-harmer who belongs to the online self-injurers community in Russian social network “Vkontakte” is analyzed. We applied a poststructuralist sociological approach to self-harm, this supposed viewing self-injury as a center of discursive struggles between different social actors and institutions. Our goal was to understand how self-harming person positions herself concerning diverse cultural discourses. We wanted to identify not only the patterns of biographical work but also the place of self-mutilation in the narrative. Before the interview we analyzed the discourse of the online community to which the informant belonged, we based our guide on the literature review and the results of discourse analysis. The sequential and thematic analyses were employed to investigate the interview data. As a result of our analysis, we identified the existence of normalizing and pathologizing discourses in the narrative and the ability of discursive influence to be differently included in the narrative (on the language and logic levels). Furthermore, we came up with methodological suggestions for further studies of the Russian online self-harm communities. The discussion of the biographical structure of self-harmer and the self-injury representations in it could become part of the discussion on the status of online mental health communities that exists among social scientists. This article also helps to illustrate the ability to combine the sociological and psychological optics in the studies of mental health.

The appropriateness and use of focus group methodology across international mental health communities

2004 ◽  
Vol 16 (1-2) ◽  
pp. 24-30 ◽  
Author(s):  
Klaas Schilder ◽  
Toma Tomov ◽  
M. Mladenova ◽  
John Mayeya ◽  
Rachel Jenkins ◽  
...  
Keyword(s):  
Mental Health ◽  
Focus Group ◽  
Focus Group Methodology ◽  
Health Communities
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