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[教育水平对多模式疼痛治疗效果的重要性]

[Importance of education level for effectiveness of multimodal pain therapy].

作者信息

Haase I, Kuhnt O, Klimczyk K

机构信息

Forschung, Entwicklung und Qualitätssicherung, m&i-Klinikgruppe Enzensberg, Höhenstrasse 56, Hopfen am See, Germany.

出版信息

Schmerz. 2012 Feb;26(1):61-8. doi: 10.1007/s00482-011-1120-6.

Abstract

BACKGROUND

The recommended treatment for chronic pain is multidisciplinary with a cognitive approach. The aim of this study was to investigate whether the education level of patients was predictive of main outcome dimensions (pain intensity, disability, depression, physical functioning and return to work).

PATIENTS AND METHODS

This was a secondary analysis of 413 patients who participated in an in-patient multidisciplinary pain treatment program. All patients were studied at baseline and after 6 months. The aim was to find predictors for the changes in scores of outcome measures (from admission to follow-up). Possible predictors were educational level and other available variables that are considered prognostic of treatment outcome, including age, gender, body mass index, endurance of pain, pain intensity, depressive symptoms and work status. Classification trees were used to predict outcome variables.

RESULTS

The outcome was markedly improved in the sampling collective at follow-up compared with baseline. Education was the best predictor of treatment outcome and affected 4 out of the 5 outcome dimensions analyzed.

CONCLUSION

If education level proves to be an intervening variable in further research, education adjusted treatment programs should be developed and evaluated.

摘要

背景

慢性疼痛的推荐治疗方法是采用认知方法的多学科治疗。本研究的目的是调查患者的教育水平是否可预测主要结局维度(疼痛强度、残疾、抑郁、身体功能和重返工作岗位)。

患者与方法

这是对413名参与住院多学科疼痛治疗项目患者的二次分析。所有患者在基线时和6个月后接受研究。目的是找出结局指标评分变化(从入院到随访)的预测因素。可能的预测因素包括教育水平以及其他被认为对治疗结局有预后作用的可用变量,如年龄、性别、体重指数、疼痛耐受度、疼痛强度、抑郁症状和工作状态。使用分类树来预测结局变量。

结果

与基线相比,随访时样本总体的结局有显著改善。教育是治疗结局的最佳预测因素,且影响了所分析的5个结局维度中的4个。

结论

如果在进一步研究中证明教育水平是一个干预变量,应制定并评估针对教育水平调整的治疗方案。

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