Literature DB >> 32179304

Linguistic and interactional aspects that characterize consultations about medically unexplained symptoms: A systematic review.

Inge Stortenbeker1, Wyke Stommel2, Sandra van Dulmen3, Peter Lucassen4, Enny Das5, Tim Olde Hartman6.   

Abstract

OBJECTIVE: The apparent absence of any specific underlying diseases challenges patient-provider communication about medically unexplained symptoms (MUS). Previous research focused on general communication patterns in these interactions; however, an overview of more detailed interactional and linguistic aspects is lacking. This review aims to gain a detailed understanding of communicative challenges in MUS consultations by synthesizing evidence from conversation and discourse analytic research.
METHODS: A systematic review of publications using eight databases (PubMed, Embase, CINAHL, PsychINFO, Web of Science, MLA International Bibliography, LLBA and Communication Abstracts). Search terms included 'MUS', 'linguistics' and 'communication'. Additional studies were identified by contacting experts and searching bibliographies. We included linguistic and/or interactional analyses of natural patient-provider interactions about MUS. Two authors independently extracted the data, and quality appraisal was based on internal and external validity.
RESULTS: We identified 18 publications that met the inclusion criteria. The linguistic and interactional features of MUS consultations pertained to three dimensions: 1) symptom recognition, 2) double trouble potential (i.e. patients and providers may have differing views on symptoms and differing knowledge domains), and 3) negotiation and persuasion (in terms of acceptable explanations and subsequent psychological treatment). We describe the recurrent linguistic and interactional features of these interactions.
CONCLUSIONS: Despite the presence of a double trouble potential in MUS consultations, validation of symptoms and subtle persuasive conduct may facilitate agreement on illness models and subsequent (psychological) treatment.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32179304     DOI: 10.1016/j.jpsychores.2020.109994

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  1 in total

1.  Using Applied Conversation Analysis in Patient Education.

Authors:  Sean N Halpin; Michael Konomos; Kathryn Roulson
Journal:  Glob Qual Nurs Res       Date:  2021-05-28
  1 in total

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