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通过在线行为自我监测、纵向单受试者分析和个性化指导的自动提供来减轻纤维肌痛症状

Fibromyalgia Symptom Reduction by Online Behavioral Self-monitoring, Longitudinal Single Subject Analysis and Automated Delivery of Individualized Guidance.

作者信息

Collinge William, Yarnold Paul, Soltysik Robert

机构信息

Collinge and Associates, Eugene, OR, USA.

出版信息

N Am J Med Sci. 2013 Sep;5(9):546-53. doi: 10.4103/1947-2714.118920.

Abstract

BACKGROUND

Fibromyalgia (FM) is a complex chronic pain condition that is difficult to treat. The prevailing approach is an integration of pharmacological, psycho-educational, and behavioral strategies. Information technology offers great potential for FM sufferers to systemically monitor symptoms as well as potential impacts of various management strategies.

AIMS

This study aimed to evaluate effects of a web-based, self-monitoring and symptom management system (SMARTLog) that analyzes personal self-monitoring data and delivers data-based feedback over time.

MATERIALS AND METHODS

Subjects were self-referred, anonymous, and recruited via publicity on FM advocacy websites. Standardized instruments assessed health status, self-efficacy, and locus of control at baseline and monthly during participation. Subjects were encouraged to complete the SMARTLog several times weekly. Within-subject, univariate, and multivariate analyses were used to derive classification trees for each user associating specific behavior variables with symptom levels over time.

RESULTS

Moderate use (3 times weekly x 3 months) increased likelihood of clinically significant improvements in pain, memory, gastrointestinal problems, depression, fatigue, and concentration; heavy use (4.5 times weekly x five months) produced the above plus improvement in stiffness and sleep difficulties.

CONCLUSIONS

Individualized, web-based behavioral self-monitoring with personally-tailored feedback can enable FM sufferers to significantly reduce symptom levels over time.

摘要

背景

纤维肌痛(FM)是一种难以治疗的复杂慢性疼痛病症。目前流行的方法是综合运用药物、心理教育和行为策略。信息技术为纤维肌痛患者提供了巨大潜力,使其能够系统地监测症状以及各种管理策略的潜在影响。

目的

本研究旨在评估一种基于网络的自我监测和症状管理系统(SMARTLog)的效果,该系统可分析个人自我监测数据并随时间提供基于数据的反馈。

材料与方法

研究对象通过纤维肌痛宣传网站上的招募信息自我推荐、匿名参与。在基线期及参与研究期间每月使用标准化工具评估健康状况、自我效能感和控制点。鼓励研究对象每周多次完成SMARTLog。采用受试者内、单变量和多变量分析为每个用户生成分类树,将特定行为变量与随时间变化的症状水平相关联。

结果

适度使用(每周3次×3个月)增加了疼痛、记忆、胃肠道问题、抑郁、疲劳和注意力方面临床显著改善的可能性;大量使用(每周4.5次×5个月)除上述改善外,还能改善僵硬和睡眠困难状况。

结论

基于网络的个性化行为自我监测及个性化反馈能够使纤维肌痛患者随时间推移显著降低症状水平。

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