HAIR-QoL测量第2部分:用于测量化疗性脱发(CIA)严重性和影响的仪器的验证

Julie Winstanley , Laura Libreros-Peña , Dorthe Schaffrin-Nabe , Azra Arif , Esther de Vries , Annie Young , Alice Markussen , Hope S. Rugo , M. Dercksen , Takayuki Kinoshita , Frances Boyle , Corina van den Hurk
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引用次数: 1

摘要

化疗性脱发(CIA)是与癌症治疗相关的最常见和最令人痛苦的副作用之一。很少有患者报告的结果测量(PROMs)专门用于测量化疗期间脱发的患者体验。在本研究的第一部分中,为一个新工具开发了一套临时问卷项目。本文主要对暂定HAIR-QoL量表中cia特异性评分项目的验证和心理测试进行了研究。临时HAIR-QoL问卷由43个cia特定项目组成,对来自8个国际中心正在接受化疗的大样本患者(n=228)进行了管理。心理测试采用经典测试理论(CTT)和项目反应理论相结合的方法;主成分分析(PCA)和Rasch分析。从最初的43个项目池中,有28个项目符合纳入四个组成部分的标准。确定的四个子量表如下:1)对外貌变化的关注,2)自我形象,3)对脱发的准备,4)脱发对你和他人的影响。定量分析的结果,PCA和Rasch分析,建议适度修改临时性HAIR-QoL措施的项目数量。据报道,心理测量特性在所有四个分量表中都非常好/优秀,并且发现对检测组差异很敏感。研究发现,最终HAIR-QoL测量的精炼项目涉及到CIA患者关注的几个重要的心理-社会领域。子量表得分有可能为患者未满足的信息和支持需求的未来决策提供信息,并为个性化心理护理和更有力的头皮冷却功效研究铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The HAIR-QoL measure Part 2: Validation of an instrument to measure of the severity and impact of chemotherapy-induced alopecia (CIA)

Objective

Chemotherapy-induced alopecia (CIA) is one of the most common and distressing side effects related to cancer treatment. Few patient-reported outcome measures (PROMs) have been developed specifically to measure the patient-experience of hair loss during chemotherapy treatment. In part I of this research, a set of provisional questionnaire items were developed for a new tool. This article focusses on the validation and psychometric testing of the CIA-specific scoring items in the provisional HAIR-QoL measure.

Methods

The provisional HAIR-QoL questionnaire, comprised of 43 CIA-specific items, was administered to a large sample of patients (n = 228) from 8 international centres, who were undergoing chemotherapy. Psychometric testing used a combination of Classical Test Theory (CTT) and Item Response Theory methods; Principal Components Analysis (PCA) and Rasch Analysis, respectively.

Results

From the initial item pool of 43 items, 28 items satisfied the criteria for inclusion into four components. The four subscales identified were as follows, 1) Concern about change in appearance, 2) Image of self, 3) Preparedness for hair loss and 4) Impact of hair loss on you and others. The results of the quantitative analyses, PCA and Rasch analysis, suggested modest amendment to the number of items to the provisional HAIR-QoL measure. Psychometric properties were reported to be very good/excellent for all four subscales and were found to be sensitive to detecting group differences.

Conclusion

The refined items which comprise the final HAIR-QoL measure were found to tap into several important psycho-social domains of concern for patients who experienced CIA. The subscale scores have the potential to inform future decision-making on patients’ unmet information and support needs and pave the way for personalised psychological care and more robust research on efficacy of scalp cooling.

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