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Updated: Jun 14, 2026

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在慢性疼痛中开发计算机化的适应性测试和均衡方法来评估睡眠和生活质量

Suzana Curcino Nogueira^1,2, Ana Mércia Fernandes¹, Rafael Lussani¹

¹Department of Neurology, LIM-62, Pain Center, University of São Paulo, São Paulo, Brazil.

European journal of pain (London, England)

|August 22, 2025

概括

计算机化适应性测试 (CAT) 显著减少了评估慢性疼痛患者睡眠质量和生活质量的问题数量. 这项研究开发了CAT和分数转换功能,减轻了评估负担.

科学领域:

治疗疼痛
心理测量
健康成果研究

背景情况:

慢性疼痛患者面临长期睡眠质量和生活质量 (QoL) 问卷的巨大负担.
现有的 QoL 和睡眠质量评估工具经常被用于一起,从而增加了患者的负担.
计算机化适应性测试 (CAT) 和分数均衡方法可以减少这种负担,但在慢性疼痛群体中未得到充分利用.

研究的目的:

开发和评估用于慢性疼痛的睡眠质量和质量评估的计算机化适应性测试 (CAT).
创建分数均等功能,以便在不同质量和睡眠质量仪器之间转换分数.
为了减少正在评估的慢性疼痛患者的反应负担.

主要方法:

基于物体反应理论,开发了睡眠质量 (使用PSQI,ISI) 和质量 (使用SF-12,WHOQoL-BREF,EQ-5D) 的CAT.
采用等效方法来实现仪器之间的分数均等.
在300名慢性疼痛参与者中进行模拟研究.

主要成果:

对睡眠质量和 QoL 构造的 CAT 证明了适当的模型适应性.
模拟显示所需项目的显著减少:睡眠质量为80.6%,QOL为76.8%.
开发了分数均等功能,可以在WHOQoL-BREF/SF-12和PSQI/ISI之间进行转换.

结论:

计算机化适应性测试 (CAT) 是可行的评估睡眠质量和慢性疼痛的QOL.
已成功开发了等分函数,使得各类仪器的分数可以进行比较.
需要进一步验证,以确认这些研究结果在慢性疼痛群体中的通用性.

关键词:

慢性疼痛计算机化适应性测试整合方式生活质量睡觉时间

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