ArticleCureus2021
The Networked Computer Metaphor: A Novel Tool for Psychiatric Trainees to Enhance Utility of the Biopsychosocial Model of Health and Illness.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- A longitudinal qualitative study on decision-making and rehabilitation behavior in patients following arthroscopic rotator cuff repair.BMC musculoskeletal disorders · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
The biopsychosocial (BPS) model proposed by George Engel posited that a disease developed through a complex interaction of biological, psychological and social factors. This popular model, despite its limitations, continues to influence the practice and treatment of illness and service delivery worldwide. We propose the networked computer metaphor as a novel and pragmatic tool to help psychiatric trainees appreciate and enhance the utility of the BPS model as it pertains to psychiatric disorders. We also propose that the application of this metaphor would help provide some clues to answer the question of achieving the goal envisioned by Engel of providing holistic and comprehensive patient-centered care. We also discuss the utility of this metaphor from trainee, teacher and patient perspectives and describe various examples of the application of this metaphor so as to deepen our understanding of the BPS model. We discuss the criticisms of this model, summarize the applications of this metaphor and outline future directions for research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.