Abstract：
BACKGROUND: Patient-reported outcome measures (PROMs) for hair loss focus mainly on Alopecia Areata. We created a PROM (i.e., HAIR-Q) that is applicable to any hair loss condition. The HAIR-Q measures satisfaction with hair.
METHODS: Concept elicitation interviews were conducted and analyzed to develop a draft scale. Content validity was established through multiple rounds of patient and expert input. Psychometric properties of the scale were examined in an online sample (i.e., Prolific) using Rasch measurement theory (RMT) analysis. Test-retest reliability and tests of construct validation were examined.
RESULTS: Content validity of a 22-item draft scale was established with input from 11 patients, 12 experts and an online Prolific sample of 59 people who had a variety of hair loss treatments. In the RMT analysis (n = 390), 8 items were dropped. Data for the 14-item scale fit the Rasch model (χ2 = 89.85, df = 70, p = 0.06). All 14 items had ordered thresholds and good item fit. Reliability was high with person separation index and Cronbach alpha values ≥0.91, and intraclass correlation coefficient of 0.94 based on a sample of 97 participants. Higher (better) scores on the scale were associated with having more hair, looking younger than ones\' age, satisfaction with hair overall, being less bothered by hair loss, and for those who had a hair loss treatment in the past year, being more satisfied with their hair now than before treatment (p < 0.001).
CONCLUSIONS: The HAIR-Q evidenced reliability and validity and can be used in research and to inform clinical care to measure satisfaction with hair from the patient perspective.
METHODS: Concept elicitation interviews were conducted and analyzed to develop a draft scale. Content validity was established through multiple rounds of patient and expert input. Psychometric properties of the scale were examined in an online sample (i.e., Prolific) using Rasch measurement theory (RMT) analysis. Test-retest reliability and tests of construct validation were examined.
RESULTS: Content validity of a 22-item draft scale was established with input from 11 patients, 12 experts and an online Prolific sample of 59 people who had a variety of hair loss treatments. In the RMT analysis (n = 390), 8 items were dropped. Data for the 14-item scale fit the Rasch model (χ2 = 89.85, df = 70, p = 0.06). All 14 items had ordered thresholds and good item fit. Reliability was high with person separation index and Cronbach alpha values ≥0.91, and intraclass correlation coefficient of 0.94 based on a sample of 97 participants. Higher (better) scores on the scale were associated with having more hair, looking younger than ones\' age, satisfaction with hair overall, being less bothered by hair loss, and for those who had a hair loss treatment in the past year, being more satisfied with their hair now than before treatment (p < 0.001).
CONCLUSIONS: The HAIR-Q evidenced reliability and validity and can be used in research and to inform clinical care to measure satisfaction with hair from the patient perspective.
摘要：
背景：患者报告的脱发结局指标（PROMs）主要集中在斑秃上。我们创建了一个PROM(即，HAIR-Q）适用于任何脱发情况。HAIR-Q测量对头发的满意度。
方法：进行了概念启发访谈并进行了分析，以制定量表草案。通过多轮患者和专家输入来建立内容效度。在在线样本中检查了量表的心理测量特性(即，多产)使用Rasch测量理论(RMT)分析。检查了重测可靠性和结构验证测试。
结果：根据11名患者的输入，建立了22项草案量表的内容效度，12位专家和59位接受过各种脱发治疗的人的在线多产样本。在RMT分析中(n=390)，删除了8个项目。14项量表的数据符合Rasch模型（χ2=89.85，df=70，p=0.06）。所有14个项目都订购了阈值和良好的项目配合。基于97名参与者的样本，人分离指数和Cronbachα值≥0.91，组内相关系数为0.94，可靠性很高。在量表上更高（更好）的分数与拥有更多的头发有关，看起来比年龄小，对头发的整体满意度，减少脱发的困扰，对于那些在过去一年接受过脱发治疗的人来说，现在比治疗前更满意他们的头发（p<0.001）。
结论：HAIR-Q证明了可靠性和有效性，可用于研究和告知临床护理，以从患者的角度衡量对头发的满意度。
方法：进行了概念启发访谈并进行了分析，以制定量表草案。通过多轮患者和专家输入来建立内容效度。在在线样本中检查了量表的心理测量特性(即，多产)使用Rasch测量理论(RMT)分析。检查了重测可靠性和结构验证测试。
结果：根据11名患者的输入，建立了22项草案量表的内容效度，12位专家和59位接受过各种脱发治疗的人的在线多产样本。在RMT分析中(n=390)，删除了8个项目。14项量表的数据符合Rasch模型（χ2=89.85，df=70，p=0.06）。所有14个项目都订购了阈值和良好的项目配合。基于97名参与者的样本，人分离指数和Cronbachα值≥0.91，组内相关系数为0.94，可靠性很高。在量表上更高（更好）的分数与拥有更多的头发有关，看起来比年龄小，对头发的整体满意度，减少脱发的困扰，对于那些在过去一年接受过脱发治疗的人来说，现在比治疗前更满意他们的头发（p<0.001）。
结论：HAIR-Q证明了可靠性和有效性，可用于研究和告知临床护理，以从患者的角度衡量对头发的满意度。
