2016
DOI: 10.1155/2016/9267536
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Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement

Abstract: Biased pain evaluation due to automated heuristics driven by symptom uncertainty may undermine pain treatment; medical evidence moderators are thought to play a role in such circumstances. We explored, in this cross-sectional survey, the effect of such moderators (e.g., nurse awareness of patients' pain experience and treatment) on the agreement between n = 862 inpatients' self-reported pain and n = 115 nurses' pain ratings using a numerical rating scale. We assessed the mean of absolute difference, agreement … Show more

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Cited by 14 publications
(7 citation statements)
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“…An updated search in PubMed to May 2017 identified one additional study that satisfied our inclusion criteria. This study supports the general findings of this review, and in particular the greater underestimation of severe pain [52].…”
Section: Discussionsupporting
confidence: 92%
“…An updated search in PubMed to May 2017 identified one additional study that satisfied our inclusion criteria. This study supports the general findings of this review, and in particular the greater underestimation of severe pain [52].…”
Section: Discussionsupporting
confidence: 92%
“…Among all contextual cues that may influence pain care, patient distress -i.e., signs of emotional/psychological suffering brought on by pain (17) -and diagnostic evidence of pathology -i.e., confirmation, through complementary diagnostic tests, of a pathology or lesion that induces pain (18) -are ones most studied; pain is often under-assessed/treated in the presence (vs. absence) of patient distress (17,18) or in the absence (vs. presence) of evidence of pathology 17,18). The detrimental effects of these variables on nurses' pain assessments have been found in experimental vignette-based studies (e.g., 3,4) and studies conducted in real clinical contexts (e.g., 19,20). However, it is yet unknown whether the effects of those clinical cues are identical for high versus low SES patients.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies have tried to overcome these barriers by incorporating an automated facial analysis tool, i.e., ePAT [28], showing promising results in elderly with advanced dementia. Also, in the clinical setting, selfassessment methods are subject to presentation bias [29], and there are a series of other limitations such as the nature of the scales [30], the need to provide continuous monitoring, especially in intensive care; or idiosyncratic factors of the observer [31,32]; cultural background [31,33,34]; and gender [35]. These limitations have led to researching new methodologies to evaluate pain based on nonverbal indicators [36], which is also the effort of this paper.…”
Section: Introductionmentioning
confidence: 99%