Background: Psychiatry may currently hold unprecedented knowledge in the diagnosis and treatment of psychiatric conditions. Yet, there is a widely held belief that this knowledge is not adequately integrated, nor does it fully account for the complexity of the phenomena under study.
Objective: To assess the effectiveness of a system-oriented and network-focused approach in capturing and integrating the complexity of psychiatric disorders. Next, to explore the epistemological implications of such an approach.
Method: Narrative literature review.
Results: Psychiatric research is still too often characterized by reductionism, linear-causal pathogenesis, and traditional nosology. There appears to be a need for a different metatheoretical model in psychiatry.
Conclusion: The development from General System Theory to complex dynamic systems thinking and network theory holds significant epistemological implications for the future of the field, how we conduct science, and the way we frame and structure our care systems.
Download full-text PDF |
Source |
---|
Integr Psychol Behav Sci
January 2025
Department of Psychology, Panteion University, Athens, Greece.
This article aims to reconceptualize the replication crisis as not merely a problem of flawed methods, lack of scientific rigor, or questionable researcher conduct, but as a fundamentally epistemological and philosophical issue. While improved methodologies and scientific practices are necessary, they must be considered through the lens of the underlying epistemologies. Toward this end, a new paradigm for psychological research and practice, grounded in second-order cybernetics and transactional causality, is proposed as instrumental.
View Article and Find Full Text PDFIntegr Psychol Behav Sci
January 2025
Department of Psychology, Istanbul University, Laleli, Istanbul, 34134, Turkey.
This theoretical paper offers an in-depth examination of the intersection between Theory of Mind (ToM) and artificial intelligence (AI), drawing on developmental psychology and philosophical analysis. By investigating the key developmental stages at which children begin to understand that others have distinct mental states, the paper provides a framework for assessing the cognitive boundaries of AI systems. It critically interrogates the pervasive human inclination to anthropomorphize machines, particularly through the attribution of complex mental states like "knowing," "thinking," or "believing" to AI entities that lack subjective experience.
View Article and Find Full Text PDFJ Adv Nurs
December 2024
College of Nursing, Brigham Young University, Provo, Utah, USA.
Introduction: Phenomenology is essential for researchers exploring human experience. To apply it rigorously, an understanding of its philosophical foundations is needed. This discussion outlines the key distinctions between interpretive and descriptive phenomenology to illustrate philosophical and methodological implications.
View Article and Find Full Text PDFInt J Nurs Sci
November 2024
Department of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Sweden.
Objective: Autoethnography combines personal experiences with cultural analysis, emerging as a response to the limitations of traditional ethnography. This review aimed to explore, describe, and delineate the utilization of autoethnography by nurses published in peer-reviewed journals.
Methods: A scoping review was conducted according to the Arksey and O'Malley framework.
Account Res
December 2024
Quality Management Department, Zibo Hospital of Traditional Chinese Medicine, Zibo, PR China.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!