患者报告的结果测量需要尺度度量化和量化精度:来自ALS/MND患者呼吸困难评估的证据。

IF 2.8
Carolyn A Young, Amina Chaouch, Christopher J Mcdermott, Ammar Al-Chalabi, Suresh Kumar Chhetri, Nicola Waters, Richard Buccleuch, Roger J Mills, Alan Tennant
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引用次数: 0

摘要

精确度(重复测量的匹配程度)和响应性(检测随时间变化的能力)是患者报告结果测量(PROMs)的关键特性。最小可检测差异(SDD)是关于精度的有用统计;最小可检测变化(MDC)和最小重要变化(MIC)评估响应性。方法:我们检查了呼吸困难数值评定量表、ALSFRS-R呼吸亚量表和呼吸困难-12的测量特性,这些测量特性由神经系统疾病结局轨迹研究的参与者提供。拉希分析将有序尺度数据转换为等效区间。结果:1120例ALS患者的数据显示ALSFRS-R Respiratory仅作为有序数据有效。NRS呼吸困难需要从更广泛的NRS集进行计算以进行Rasch分析;SDD为3.2,MDC为2.59,MIC为2.39,得分范围为0-10。Dyspnea-12的SDD为7.0,MDC为6.14,MIC为4.5,评分范围为0-36。MDC %表示测量误差以上可检测到的最小变化(占量表范围的百分比)在呼吸困难-12(17.1%)中优于NRS呼吸困难(25.9%)。Dyspnea-12的另一个优点是使用已发布的转换表将原始序数数据转换为区间等效数据。结论:准确的测量是最佳临床决策和高质量研究的基础。在知情的情况下选择PROMs可降低误解临床和研究数据的风险。患者希望在参与研究和与临床团队交流时,能够准确地描述他们的进展情况。基于其心理测量特性,呼吸困难-12更适合临床和研究使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patient reported outcome measures require scale metrification and quantified precision: evidence from the assessment of breathlessness in people with ALS/MND.

Introduction: Precision (how closely repeated measures match) and responsiveness (ability to detect change over time) are critical properties of patient reported outcome measures (PROMs). Smallest Detectable Difference (SDD) is a useful statistic regarding precision; Minimal Detectable Change (MDC) and Minimal Important Change (MIC) assess responsiveness. Methods: We examined measurement properties of Numeric Rating Scale for Breathlessness, ALSFRS-R respiratory subscale and Dyspnea-12, contributed by participants in the Trajectories of Outcome in Neurological Conditions-ALS study. Rasch analysis converts ordinal scale data to interval equivalents. Results: Data from 1120 people with ALS showed ALSFRS-R Respiratory is only valid as ordinal data. The NRS Breathlessness requires computation from a wider NRS set for Rasch analysis; its SDD is 3.2, MDC 2.59, MIC 2.39, with score range of 0-10. The Dyspnea-12 has SDD 7.0, MDC 6.14, MIC 4.5, with score range of 0-36. The %MDC, indicating smallest change detectable above measurement error as % of scale range, is superior for the Dyspnea-12 (17.1%) compared to the NRS Breathlessness (25.9%). Another advantage of Dyspnea-12 is transformation of raw ordinal to interval equivalent data using published conversion tables. Both NRS and Dyspnea-12 have disadvantages of MIC < MDC. Conclusions: Accurate measurement underpins optimal clinical decision making and high-quality research. Informed choice of PROMs reduces risk of misinterpreting clinical and research data. Patients want PROMs which they feel give an accurate account of their progression when participating in research and communicating with their clinical team. The Dyspnea-12 is preferrable for clinical and research use based on its psychometric properties.

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