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使用抽象动画和图形化身体图像评估镰状细胞病成人患者的疼痛结果。

The use of abstract animations and a graphical body image for assessing pain outcomes among adults with sickle cell disease.

作者信息

O'Brien Julia A, Jonassaint Charles R, Parchuri Ektha, Lalama Christina M, Badawy Sherif M, Hamm Megan E, Stinson Jennifer N, Lalloo Chitra, Carroll C Patrick, Saraf Santosh L, Gordeuk Victor R, Cronin Robert M, Shah Nirmish, Lanzkron Sophie M, Liles Darla, Trimnell Cassandra, Bailey Lakiea, Lawrence Raymona, Saint Jean Leshana, DeBaun Michael, De Castro Laura M, Palermo Tonya M, Abebe Kaleab Z

机构信息

Department of Acute and Tertiary Care, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.

Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

J Pain. 2025 Jan;26:104720. doi: 10.1016/j.jpain.2024.104720. Epub 2024 Oct 22.

Abstract

Painimation, a novel digital pain assessment tool, allows patients to communicate their pain quality, intensity, and location using abstract animations (painimations) and a paintable body image. This study determined the construct validity of painimations and body image measures by testing correlations with validated pain outcomes in adults with sickle cell disease (SCD). Analyses used baseline data from a multisite randomized trial of 359 adults with SCD and chronic pain. Participants completed questionnaires on demographics, pain severity, frequency and interference, catastrophizing, opioid use, mood and quality of life, plus the Painimation app. Participants were categorized by selected painimations, and were split into groups based on the proportion of painted body image. Potential confounding was evaluated by age, gender, race, education, disability, site, depression, and anxiety. The 'shooting' painimation was strongly associated with daily pain intensity, pain interference, frequency, and severity. 'Electrifying' was associated with daily pain and opioid misuse, while greater body area in pain correlated with worse outcomes across all pain measures. Both painimations and body image measures correlated with validated pain outcomes, quality of life and mental health measures. This demonstrates animations and body image data can assess SCD pain severity, potentially with more accuracy than a 0-10 scale. Future research will explore whether Painimation can differentiate biological and psychosocial pain components. PERSPECTIVE: This article presents the preliminary construct validity of Painimation in SCD by examining the associations of "painimations" and body area image data with daily e-diary and traditional self-report pain outcomes.

摘要

Painimation是一种新型数字疼痛评估工具,它允许患者使用抽象动画(疼痛动画)和可绘制的身体图像来表达疼痛的性质、强度和位置。本研究通过测试与镰状细胞病(SCD)成人患者经过验证的疼痛结果之间的相关性,确定了疼痛动画和身体图像测量的结构效度。分析使用了来自一项针对359名患有SCD和慢性疼痛的成人的多中心随机试验的基线数据。参与者完成了关于人口统计学、疼痛严重程度、频率和干扰、灾难化、阿片类药物使用、情绪和生活质量的问卷,以及Painimation应用程序。参与者根据选定的疼痛动画进行分类,并根据绘制的身体图像比例分成不同组。通过年龄、性别、种族、教育程度、残疾、地点、抑郁和焦虑来评估潜在的混杂因素。“射击”疼痛动画与每日疼痛强度、疼痛干扰、频率和严重程度密切相关。“触电”与每日疼痛和阿片类药物滥用有关,而疼痛部位越大,在所有疼痛测量指标上的结果越差。疼痛动画和身体图像测量均与经过验证的疼痛结果、生活质量和心理健康测量指标相关。这表明动画和身体图像数据可以评估SCD疼痛的严重程度,可能比0至10分制更准确。未来的研究将探索Painimation是否能够区分生物性和心理社会性疼痛成分。观点:本文通过检查“疼痛动画”和身体区域图像数据与每日电子日记及传统自我报告疼痛结果之间的关联,展示了Painimation在SCD中的初步结构效度。

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