Effect of Beloved Person’s Voice on Chest Tube Removal Pain in Patients undergoing Open Heart Surgery: Fuzzy Logistic Regression Model

F. Salmani, A. Abadi, Seyyed Meisam Taheri, H. Majd, A. Abbaszadeh, Hakimeh Sheikhasadi
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引用次数: 4

Abstract

Chest tube removal pain is one of the important complications after open heart surgery. The removal of a chest tube is a painful and frightening experience and should be managed with as little pain and distress as possible. The aim of this study is to assess the effect of beloved person’s voice on chest tube removal pain in patients undergoing open heart surgery. 128 patients were randomly assigned to two groups: one group listened to beloved person’s voice during the procedure, and the other did not. Since pain was measured by linguistic terms, a fuzzy logistic regression was applied for modeling. After controlling for the potential confounders, based on fuzzy logistic regression, the beloved person’s voice reduced the risk of pain. Therefore, using beloved person’s voice could be effective, inexpensive and safe for distraction and reduction of pain.
心内直视手术患者拔胸管时爱人声音对疼痛的影响:模糊Logistic回归模型
胸管拔管疼痛是心脏直视手术后的重要并发症之一。拔胸管是一种痛苦和可怕的经历,应该尽可能减少疼痛和痛苦。本研究的目的是评估爱人的声音对心内直视手术患者拔胸管疼痛的影响。128名患者被随机分为两组:一组在手术过程中倾听爱人的声音,另一组则不听。由于疼痛是通过语言术语来衡量的,因此采用模糊逻辑回归进行建模。在控制了潜在的混杂因素后,基于模糊逻辑回归,心爱的人的声音降低了疼痛的风险。因此,用心爱的人的声音来分散注意力和减轻痛苦是有效、廉价和安全的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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