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首页> 外文期刊>Journal of medical Internet research >Responsiveness, Reliability, and Minimally Important and Minimal Detectable Changes of 3 Electronic Patient-Reported Outcome Measures for Low Back Pain: Validation Study
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Responsiveness, Reliability, and Minimally Important and Minimal Detectable Changes of 3 Electronic Patient-Reported Outcome Measures for Low Back Pain: Validation Study

机译:响应性,可靠性以及对腰痛的3种电子患者报告的结果测量值的最小重要和最小可检测变化:验证研究

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BackgroundThe Roland Morris Disability Questionnaire (RMDQ), visual analog scale (VAS) of pain intensity, and numerical rating scale (NRS) are among the most commonly used outcome measures in trials of interventions for low back pain. Their use in paper form is well established. Few data are available on the metric properties of electronic counterparts.ObjectiveThe goal of our research was to establish responsiveness, minimally important change (MIC) thresholds, reliability, and minimal detectable change at a 95% level (MDC_(95)) for electronic versions of the RMDQ, VAS, and NRS as delivered via iOS and Android apps and Web browser.MethodsWe recruited adults with low back pain who visited osteopaths. We invited participants to complete the eRMDQ, eVAS, and eNRS at baseline, 1 week, and 6 weeks along with a health transition question at 1 and 6 weeks. Data from participants reporting recovery were used in MIC and responsiveness analyses using receiver operator characteristic (ROC) curves and areas under the ROC curves (AUCs). Data from participants reporting stability were used for analyses of reliability (intraclass correlation coefficient [ICC] agreement) and MDC_(95).ResultsWe included 442 participants. At 1 and 6 weeks, ROC AUCs were 0.69 (95% CI 0.59 to 0.80) and 0.67 (95% CI 0.46 to 0.87) for the eRMDQ, 0.69 (95% CI 0.58 to 0.80) and 0.74 (95% CI 0.53 to 0.95) for the eVAS, and 0.73 (95% CI 0.66 to 0.80) and 0.81 (95% CI 0.69 to 0.92) for the eNRS, respectively. Associated MIC thresholds were estimated as 1 (0 to 2) and 2 (–1 to 5), 13 (9 to 17) and 7 (–12 to 26), and 2 (1 to 3) and 1 (0 to 2) points, respectively. Over a 1-week period in participants categorized as “stable” and “about the same” using the transition question, ICCs were 0.87 (95% CI 0.66 to 0.95) and 0.84 (95% CI 0.73 to 0.91) for the eRMDQ with MDC_(95) of 4 and 5, 0.31 (95% CI –0.25 to 0.71) and 0.61 (95% CI 0.36 to 0.77) for the eVAS with MDC_(95) of 39 and 34, and 0.52 (95% CI 0.14 to 0.77) to 0.67 (95% CI 0.51 to 0.78) with MDC_(95) of 4 and 3 for the eNRS.ConclusionsThe eRMDQ was reliable with borderline adequate responsiveness. The eNRS was responsive with borderline reliability. While the eVAS had adequate responsiveness, it did not have an attractive reliability profile. Thus, the eNRS might be preferred over the eVAS for measuring pain intensity. The observed electronic outcome measures’ metric properties are within the ranges of values reported in the literature for their paper counterparts and are adequate for measuring changes in a low back pain population.
机译:背景Roland Morris残疾问卷(RMDQ),疼痛强度的视觉模拟量表(VAS)和数字评分量表(NRS)是下腰痛干预试验中最常用的结果指标。以纸质形式使用它们已经很成熟。关于电子同行的度量标准属性的数据很少。目的我们的研究目标是在电子版本中建立响应度,最小重要变化(MIC)阈值,可靠性和95%级别(MDC_(95))的最小可检测变化。通过iOS和Android应用程序以及网络浏览器提供的RMDQ,VAS和NRS。方法我们招募了患有腰背痛的成年人,他们探访了整骨者。我们邀请参与者在基线,1周和6周时完成eRMDQ,eVAS和eNRS,并在1周和6周时完成健康过渡问题。来自参与者报告恢复的数据用于MIC和响应分析,使用接收者操作员特征(ROC)曲线和ROC曲线下的面积(AUC)。来自参与者报告稳定性的数据用于分析可靠性(类内相关系数[ICC]一致性)和MDC_(95)。结果我们包括442名参与者。在第1周和第6周,eRMDQ的ROC AUC为0.69(95%CI 0.58至0.80)和0.67(95%CI 0.46至0.87),0.69(95%CI 0.58至0.80)和0.74(95%CI 0.53至0.95) eVAS为),而eNRS分别为0.73(95%CI 0.66至0.80)和0.81(95%CI 0.69至0.92)。关联的MIC阈值估计为1(0至2)和2(–1至5),13(9至17)和7(–12至26),2(1至3)和1(0至2)点。在使用过渡问题被分类为“稳定”和“大致相同”的参与者中,经过1周的时间,带有MDC_的eRMDQ的ICC为0.87(95%CI为0.66至0.95)和0.84(95%CI为0.73至0.91)。 (95)of 4 and 5,eVAS的0.31(95%CI –0.25至0.71)和0.61(95%CI 0.36至0.77),MDC_(95)为39和34,以及0.52(95%CI 0.14至0.77) eNRS的MDC_(95)为4和3时)到0.67(95%CI 0.51到0.78)。结论eRMDQ是可靠的,具有足够的临界响应能力。 eNRS具有临界可靠性。尽管eVAS具有足够的响应能力,但它没有吸引人的可靠性。因此,在测量疼痛强度时,eNRS可能优于eVAS。观察到的电子结局量度的度量标准属性在文献中报告的纸质对应值范围内,足以测量下背痛人群的变化。

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