Medical evidence influence on inpatients and nurses pain ratings agreement

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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 (..-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 evidencemoderator (χ2analysis). Pain ratings agreement and correlation were limited; the CCs proportionswere further modulated by the studied moderators. Medical evidence promoted in nurses overestimation of lowand 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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Dekel, B. G. S., Gori, A., Vasarri, A., Sorella, M. C., Di Nino, G., & Melotti, R. M. (2016). Medical evidence influence on inpatients and nurses pain ratings agreement. Pain Research and Management, 2016. https://doi.org/10.1155/2016/9267536

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