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InTech
Part of book or chapter of book . 2020
Data sources: InTech
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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://www.intechopen.com/cit...
Part of book or chapter of book
License: CC BY
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Suffering as a Diagnostic Indicator

Authors: Marek, Rózycki,; Robert, Tobias,;

Suffering as a Diagnostic Indicator

Abstract

Pain is the subjective sensation closely related to disease and treatment. Very often its diagnosis is more an expression of the diagnostician’s experience than a description of the patient’s actual condition. In particular, orthopedic and neurological patients who develop Complex Regional Pain Syndrome are misdiagnosed because the intensity of their sensations is disbelieved. Based on case studies, it seems appropriate to introduce an additional category of patient experience that will enable prompt recognition and appropriate treatment. The misdiagnoses under evaluation also exhibit frequent improper practitioner responses to patients’ experience, ranging from open expressions of disbelief, through indifference, to helplessness and pessimism. This article presents case studies in which patients’ expressions of suffering were not used to modify the treatment. Rather, medical professionals accepted the pain as normal under the circumstances and resulting from tissue damage. However, in these cases, the pain was a symptom of a new disease entity, in development since the original diagnosis. With improved patient communication and treatment procedures, such oversights can be avoided and new disease entities will be more readily diagnosable.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid
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