Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement

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’...

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Main Authors: Boaz Gedaliahu Samolsky Dekel, Alberto Gori, Alessio Vasarri, Maria Cristina Sorella, Gianfranco Di Nino, Rita Maria Melotti
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Pain Research and Management
Online Access:http://dx.doi.org/10.1155/2016/9267536
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author Boaz Gedaliahu Samolsky Dekel
Alberto Gori
Alessio Vasarri
Maria Cristina Sorella
Gianfranco Di Nino
Rita Maria Melotti
author_facet Boaz Gedaliahu Samolsky Dekel
Alberto Gori
Alessio Vasarri
Maria Cristina Sorella
Gianfranco Di Nino
Rita Maria Melotti
author_sort Boaz Gedaliahu Samolsky Dekel
collection DOAJ
description 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 (κ-statistics), and correlation (Spearman rank) of inpatients and nurses’ pain ratings and analyzed congruence categories’ (CCs: underestimation, congruence, and overestimation) proportions and dependence upon pain categories for each medical evidence moderator (χ2 analysis). Pain ratings agreement and correlation were limited; the CCs proportions were further modulated by the studied moderators. Medical evidence promoted in nurses overestimation of low and underestimation of high inpatients’ self-reported pain. Knowledge of the negative influence of automated heuristics driven by symptoms uncertainty and medical-evidence moderators on pain evaluation may render pain assessment more accurate.
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spelling doaj-art-dc3e33a723b64045a8554f15cac55b112025-08-20T03:23:56ZengWileyPain Research and Management1203-67651918-15232016-01-01201610.1155/2016/92675369267536Medical Evidence Influence on Inpatients and Nurses Pain Ratings AgreementBoaz Gedaliahu Samolsky Dekel0Alberto Gori1Alessio Vasarri2Maria Cristina Sorella3Gianfranco Di Nino4Rita Maria Melotti5University of Bologna, Department of Medicine and Surgery Sciences, Via Massarenti 9, 40138 Bologna, ItalyUniversity of Bologna, Post-Graduate School of Anaesthesia and Intensive Care, Via Massarenti 9, 40138 Bologna, ItalyUniversity of Bologna, Post-Graduate School of Anaesthesia and Intensive Care, Via Massarenti 9, 40138 Bologna, ItalyUniversity of Bologna, Post-Graduate School of Anaesthesia and Intensive Care, Via Massarenti 9, 40138 Bologna, ItalyUniversity of Bologna, Department of Medicine and Surgery Sciences, Via Massarenti 9, 40138 Bologna, ItalyUniversity of Bologna, Department of Medicine and Surgery Sciences, Via Massarenti 9, 40138 Bologna, ItalyBiased 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 (κ-statistics), and correlation (Spearman rank) of inpatients and nurses’ pain ratings and analyzed congruence categories’ (CCs: underestimation, congruence, and overestimation) proportions and dependence upon pain categories for each medical evidence moderator (χ2 analysis). Pain ratings agreement and correlation were limited; the CCs proportions were further modulated by the studied moderators. Medical evidence promoted in nurses overestimation of low and underestimation of high inpatients’ self-reported pain. Knowledge of the negative influence of automated heuristics driven by symptoms uncertainty and medical-evidence moderators on pain evaluation may render pain assessment more accurate.http://dx.doi.org/10.1155/2016/9267536
spellingShingle Boaz Gedaliahu Samolsky Dekel
Alberto Gori
Alessio Vasarri
Maria Cristina Sorella
Gianfranco Di Nino
Rita Maria Melotti
Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement
Pain Research and Management
title Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement
title_full Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement
title_fullStr Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement
title_full_unstemmed Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement
title_short Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement
title_sort medical evidence influence on inpatients and nurses pain ratings agreement
url http://dx.doi.org/10.1155/2016/9267536
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