在现有的长度队列研究中,我们能如何衡量慢性疼痛的影响? 学到的经验教训
Diego Vitali1, Charlotte S C Woolley2, Amanda Ly3
1Research Department of Clinical, Educational & Health Psychology, University College London, London, UK.
The journal of pain
|September 19, 2024
概括
研究人员可以重新利用大型队列数据来研究疼痛影响. 评估测量特性是关键,尽管捕捉慢性疼痛影响的所有方面存在挑战.
科学领域:
- 流行病学 流行病学
- 心理测量 心理测量 心理测量
- 医疗保健服务研究 医疗服务研究
背景情况:
- 大规模的纵向队列研究为疼痛研究提供了有价值的数据,即使疼痛评估不是最初的重点.
- 重用现有数据集需要仔细评估测量属性,以确保数据对新研究问题的有效性.
研究的目的:
- 为了说明用于疼痛影响研究的现有队列数据的测量特性评估的方法.
- 引导研究人员评估大型数据集对于研究慢性疼痛轨迹和预测因子的适用性.
- 突出使用前性收集数据用于疼痛研究的潜力和局限性.
主要方法:
- 选大型队列数据集 (英国生物库,英国长度老化研究) 针对与疼痛影响相关的变量.
- 应用心理测量评估技术来评估所选变量的测量特性.
- 开发和测试测量模型,以捕捉慢性疼痛对自我护理,生产力和社交活动的影响.
主要成果:
- 在英国生物库中,内部一致性不足阻止了慢性疼痛影响的令人满意的测量模型.
- 在英国长度老龄化研究中,确定了一种测量模型,但仅限于自我照顾和生产力,缺乏社会参与方面.
- 这两个例子都强调了在重新利用大队列数据用于疼痛研究方面所面临的挑战和经验教训.
结论:
- 为疼痛影响研究重新利用大型队列数据是可行的,但需要严格的心理测量评估.
- 研究人员必须意识到现有数据的局限性,特别是捕捉慢性疼痛影响的全谱.
- 以理论为导向的方法来拟合和评估测量模型对于最大限度地利用大队列数据集在疼痛研究中的实用性至关重要.
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