Mental Health Community Based Funding: Ohio’s Experience in Revising Its Funding Allocation Methodology

“Citizen Social Science” is a fast-growing term within Citizen Science world but not many experiences have been shared in the literature to better shape its meaning. This article discusses novel possibilities of these participatory practices through the critical analysis of a concrete community-based project. We here embrace under the “Social” tag of Citizen Social Science both Computational Social Science methodologies and the Social concerns expressed by the mental health community. The interpretation place persons with a mental condition, as well as caregivers and relatives, at the center of the research cycle by taking the role of Competent Experts In-The-Field. A synergetic relation between Citizen Science, Mental Health research and Computational Social Science also imply a conceptual shift in comparison to standard approaches such as the inclusion of research subjects as active co-designers or the consideration of communitarian spaces as most natural experimental spaces. We here describe how these concepts are put into practice during the whole duration of a research project that has studied the social interactions inside the Community Mental Health Care ecosystem. Important steps entail the creation of a Knowledge Coalition, including a diversity of relevant actors with diverse knowledge and expertise, that is later involved in co-designing the research and in embedding experimental settings in communitarian spaces. The experience allows us to open a wider discussion on the possibilities and limitations of Citizen Social Science practices. Having in mind the ethical debate raised by Citizen Science Public Health and Patients’ driven research, we propose a set of values and practices to be agreed on. We also analyse the participation of the scientists in these kind of projects, which forces them to adopt the role of “camaleons” when executing diverse and versatile tasks. We additionally advocate for a more extended collective interpretation of the results in order to produce socially robust knowledge and enhance actions and policies grounded on these results. Exemplified with the experience herein presented, a more horizontal process that include the enhancement of participation and the revision of the notion of experiment offer new opportunities for Social Sciences from a multidisciplinary perspective.

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

Healthcare ◽

10.3390/healthcare9091181 ◽

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.

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