The present study is the first to investigate, using conversation analysis, the effects of a family member’s participation in conversation regarding the assessment of need for treatment. We aim at describing the course of a treatment negotiation, focusing on interactional dynamics and on disclosure of paranoid symptoms in a clinically challenging situation characterized by an acutely psychotic patient with (1) disorganized discourse, (2) poor insight, (3) aspiration to avoid hospital treatment, and (4) a relative who was supporting in-patient care. In the triadic conversation, in which the patient, his relative, and the psychiatrist participated, different consecutive phases were distinguished. The Relative Prominent Information Phase (RIP) was characterized by the relative’s statements on the patient’s problematic behavior, and conflicting views between the patient and his relative led to denial of symptoms by the patient. When the patient was prominent in the latter Patient Prominent Information Phase (PIP), the display of several different social actions and corresponding linguistic devices were linked with more overt talk about paranoid experiences by the patient, albeit in a disorganized manner. RIP and PIP were followed by an Evaluation and Decision Phase (EDP).
Latent sources, motivations and even meanings, at least to some extent, of seemingly disorganized utterances can become analysable through linguistic analyses. The results suggest that continuity in the treatment is essential, because a practitioner who shares background knowledge with the patient has better opportunities to capture the relevance of the superficially disorganized utterances. Moreover, especially the most disorganized sequences should warrant thorough attention because they can convey, beneath their unexpected or obscure surface structure, items which are psychologically important to the patient. The results of this study should be taken into account in the training of interactional skills of professionals who work with schizophrenia patients.
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