How to Improve Interpretability of Patient-Reported Outcome Measures for Clinical Use: A Perspective on Measuring Abilities and Feelings

IF 1.8 Q3 HEALTH CARE SCIENCES & SERVICES
J. Kopec
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引用次数: 0

Abstract

Abstract Two general classes of concepts measured by patient-reported outcome measures (PROMs) are abilities and feelings. Over the past several decades, there has been a significant progress in measuring both. Nevertheless, current multi-item scales are subject to criticism related to scale length, score dimensionality, interpretability, cultural bias, and insufficient detail in measuring specific domains. To address some of these issues, the author offers an alternative perspective on how questions about abilities and feelings could be formulated. Abilities can be defined in terms of a relationship between the level of performance and the associated perception of difficulty, and represented graphically by an ability curve. For feelings, it may be useful to measure frequency and intensity jointly to determine the proportion of time in each level of intensity. The resultant frequency × intensity matrix can be presented as a bar graph. Empirical data to support the feasibility and validity of these approaches to PROM design are provided, potential advantages and limitations are discussed, and some future research avenues are suggested.
如何提高临床使用的患者报告结果测量的可解释性:从测量能力和感受的角度
由患者报告的结果测量(PROMs)测量的两大类概念是能力和感觉。在过去的几十年里,在衡量这两方面都取得了重大进展。然而,目前的多项目量表在量表长度、得分维度、可解释性、文化偏见和测量特定领域的细节不足等方面受到批评。为了解决其中的一些问题,作者提供了一个关于能力和情感问题如何形成的另一种观点。能力可以根据表现水平和相关难度感知之间的关系来定义,并通过能力曲线图形化地表示出来。对于感觉,联合测量频率和强度来确定时间在每个强度级别中的比例可能是有用的。得到的频率×强度矩阵可以用柱状图表示。本文提供了实证数据来支持这些方法在PROM设计中的可行性和有效性,讨论了潜在的优势和局限性,并提出了一些未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Patient Related Outcome Measures
Patient Related Outcome Measures HEALTH CARE SCIENCES & SERVICES-
自引率
4.80%
发文量
27
审稿时长
16 weeks
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