Predictors of chronic "postviral" fatigue

Cope, Helen

doi:10.1016/s0140-6736(94)92833-9

Cited by 121 publications

(60 citation statements)

References 23 publications

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“…32 In a prospective primary care study of 'postviral' fatigue the worse prognosis occurred in those with less evidence of an initial viral infection. 33 Our results suggest that the condition may be more benign if the trigger is a definite viral infection.…”

Section: Label Selectionmentioning

confidence: 63%

The prognosis of different fatigue diagnostic labels: a longitudinal survey

Hamilton¹,

Gallagher²,

Thomas³

et al. 2005

Family Practice

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Section: Label Selectionmentioning

confidence: 63%

The prognosis of different fatigue diagnostic labels: a longitudinal survey

Hamilton¹,

Gallagher²,

Thomas³

et al. 2005

Family Practice

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“…Diagnostic labels reflecting the diversity of aetiological theories include postviral fatigue syndrome, myalgic encephalomyelitis (ME), Epstein-Barr virus syndrome, chronic mononucleosis comparable syndrome and ''yuppie disease''. The majority of CFS patients are women (9).…”

mentioning

confidence: 99%

"I could not lift my arm holding the fork..": Living with chronic fatigue syndrome

Söderlund

Skoge²,

Malterud³

2000

Scandinavian Journal of Primary Health Care

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“…A subtler but no less important aspect of communication which has come into prominence more recently concerns the tailoring of interaction to meet a patient's emotional needs [20], [27]. There is a growing corpus of evidence that demonstrates remarkable differences not only in the short, but also in the medium to long term, on patients' mental condition [23], [22], primary outcomes [10], [14], and numerous others [1], [11], [15], [26].…”

Section: Introductionmentioning

confidence: 99%

Towards objective and reproducible study of patient-doctor interaction: Automatic text analysis based VR-CoDES annotation of consultation transcripts

Birkett

Arandjelović

Humphris

2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-While increasingly appreciated for its importance, the interaction between health care professionals (HCP) and patients is notoriously difficult to study, with both methodological and practical challenges. The former has been addressed by the so-called Verona coding definitions of emotional sequences (VRCoDES) -a system for identifying and coding patient emotions and the corresponding HCP responses -shown to be reliable and informative in a number of independent studies in different health care delivery contexts. In the present work we focus on the practical challenge of the scalability of this coding system, namely on making it easily usable more widely and on applying it on larger patient cohorts. In particular, VR-CoDES is inherently complex and training is required to ensure consistent annotation of audio recordings or textual transcripts of consultations. Following up on our previous pilot investigation, in the the present paper we describe the first automatic, computer based algorithm capable of providing coarse level coding of textual transcripts. We investigate different representations of patient utterances and classification methodologies, and label each utterance as either containing an explicit expression of emotional distress (a 'concern'), an implicit one (a 'cue'), or neither. Using a data corpus comprising 200 consultations between radiotherapists and adult female breast cancer patients we demonstrate excellent labelling performance.

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Predictors of chronic "postviral" fatigue

Cited by 121 publications

References 23 publications

The prognosis of different fatigue diagnostic labels: a longitudinal survey

The prognosis of different fatigue diagnostic labels: a longitudinal survey

"I could not lift my arm holding the fork..": Living with chronic fatigue syndrome

Towards objective and reproducible study of patient-doctor interaction: Automatic text analysis based VR-CoDES annotation of consultation transcripts

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