Psychology and self-help groups: Predictions on a partnership.
Abstract
Continued growth and increased legitimacy are anticipated for the American self-help group (SHG) phenomenon. Currently estimated at six and a quarter million participants annually, self-help groups will assume a central role in the nation's mental health delivery system over the next two decades. The first part of this article illuminates the self-help group phenomenon itself. Its scope, characteristics, supporting social climate, and associated research issues are reviewed. The second part is a futuristic examination of its interface with the newly industrializing world of health care. Massive increases in mental health services are predicted, especially via the SHG format. Theory development, research sophistication, changing SHG formats, a place in public policy, and acceptance into graduate curricula are also expected, as are collaborative relationships with a variety of professional disciplines. Psychologists are urged to enhance the relevance of the profession by taking an early leadership role in these developments.
Cited by (2)
- COMBATING LONELINESS AMONG PERSONS WITH SEVERE MENTAL ILLNESS: SOCIAL NETWORK INTERVENTIONS' CHARACTERISTICS, EFFECTIVENESS, AND APPLICABILITYPerese, Eris F., Wolf, Marilee · 2005 · Issues in Mental Health Nursing
- Psychotherapy and social support.Barker, Chris, Pistrang, Nancy · 2002 · Clinical Psychology Review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Psychology and self-help groups: Predictions on a partnership. https://app.cochat.ai/papers/10.1037//0003-066x.44.3.536
- The paper
- Jacobs, M. K., & Goodman, G. (1989). Psychology and self-help groups: Predictions on a partnership. American Psychologist. https://doi.org/10.1037//0003-066x.44.3.536
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.