Catastrophising and normalising in patient's accounts of their seizure experiences

Robson, Catherine; Drew, Paul; Walker, Traci; Reuber, Markus

doi:10.1016/j.seizure.2012.09.007

Cited by 40 publications

(38 citation statements)

References 63 publications

(91 reference statements)

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“…The study design parallels prior research that identified, described and tested profiles of interactional, linguistic and topical features as aids in the differential diagnosis of patients with epilepsy or psychogenic non-epileptic seizures [16][17][18].…”

Section: Methodsmentioning

confidence: 99%

“…ND) and non-organic causes of memory complaints [15]. Building on previous work exploring the use of Conversation Analysis (CA) as a diagnostic aid in the seizure clinic [16][17][18], and an initial analysis of a small subset of our corpus of recordings from the memory clinic [19], the present study focused on patients' participation in initial clinical encounters with neurologists, to investigate the potential of using conversational features to distinguish memory complaints related to functional causes from those caused by ND.…”

Section: Introduction/backgroundmentioning

confidence: 99%

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Towards diagnostic conversational profiles of patients presenting with dementia or functional memory disorders to memory clinics

Elsey

Drew

Jones

et al. 2015

Patient Education and Counseling

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YesObjective\ud \ud This study explores whether the profile of patients’ interactional behaviour in memory clinic conversations with a doctor can contribute to the clinical differentiation between functional memory disorders (FMD) and memory problems related to neurodegenerative diseases.\ud \ud Methods\ud \ud Conversation Analysis of video recordings of neurologists’ interactions with patients attending a specialist memory clinic. “Gold standard” diagnoses were made independently of CA findings by a multi-disciplinary team based on clinical assessment, neuropsychological testing and brain imaging.\ud \ud Results\ud \ud Two discrete conversational profiles for patients with memory complaints emerged, including (i) who attends the clinic (i.e., whether or not patients are accompanied), and (ii) patients’ responses to neurologists’ questions about memory problems, such as difficulties with compound questions and providing specific and elaborated examples and frequent “I don’t know” responses.\ud \ud Conclusion\ud \ud Specific communicative difficulties are characteristic of the interaction patterns of patients with a neurodegenerative pathology. Those difficulties are manifest in memory clinic interactions with neurologists, thereby helping to differentiate patients with dementia from those with FMD.\ud \ud Practical implications\ud \ud Our findings demonstrate that conversational profiles based on patients’ contributions to memory clinic encounters have diagnostic potential to assist the screening and referral process from primary care, and the diagnostic service in secondary care

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Section: Methodsmentioning

confidence: 99%

Section: Introduction/backgroundmentioning

confidence: 99%

Towards diagnostic conversational profiles of patients presenting with dementia or functional memory disorders to memory clinics

Elsey

Drew

Jones

et al. 2015

Patient Education and Counseling

Self Cite

View full text Add to dashboard Cite

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“…CA is a largely qualitative, micro-analytic method of analysing communicative processes of real-time interactions. CA's methodology is increasingly being applied successfully to medical interactions in a wide variety of medical settings (on the general applicability of CA to medical interactions see [18][19]; for more specific applications see e.gs [20][21][22][23][24][25]). Audio recordings of caller-nurse interactions enable us to conduct fine grained analysis, not only of what is said but how it is said (the exact words used, and hesitations, interruptions, laughter etc.…”

Section: Methodsmentioning

confidence: 99%

Closing calls to a cancer helpline: Expressions of caller satisfaction

Woods

Drew

Leydon

2015

Patient Education and Counseling

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A c c e p t e d M a n u s c r i p t  We examine 99 calls to the Macmillan cancer helpline using Conversation Analysis.  We focus on endogenous measures of caller satisfaction expressed during the call.  Callers express differing levels of satisfaction in the closing of the call.  Expressions of dissatisfaction cause difficulties in closing the call.  Patterns of communication may benefit organisations in how to manage calls. A c c e p t e d M a n u s c r i p t 3 AbstractObjective: This study provides an alternative approach to assessing caller satisfaction focussing on how callers express their appreciation of the service provided during the call, as the calls draw to a close.Methods: Conversation analysis is used to analyse 99 calls between callers and cancer specialist nurses on a leading cancer helpline in the UK.Results: Caller satisfaction is expressed through upgraded forms of the appreciations through which callers begin to close the call. Dissatisfaction is conveyed in what are by comparison with expressions of satisfaction, downgraded forms which acknowledge but do not fully or enthusiastically appreciate the information/advice given. With latter calls, nurses begin to 're-open' aspects of information/advice giving, thereby leading to more protracted call closings.Conclusions: Endogenous indicators of caller satisfaction are displayed through callers' upgraded appreciations in the closing moments of helpline calls. Difficulties in terminating calls (protracted by nurses re-opening information-giving etc.) arise when callers do not convey their satisfaction with the service provided.Practice implications: An understanding of endogenous indicators of satisfaction may benefit helpline organisations and further their understanding of effective call-handling, particularly through identifying the features common to those calls in which callers do not display their satisfaction with the call.

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“…More recently, qualitative (microanalytic) methods of studying interaction have been used diagnostically -assessing patients interactional behaviour to help identify and distinguish between medical conditions [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%