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首页> 外文期刊>Health and Quality of Life Outcomes >Reliability of 95% confidence interval revealed by expected quality-of-life scores: an example of nasopharyngeal carcinoma patients after radiotherapy using EORTC QLQ-C 30
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Reliability of 95% confidence interval revealed by expected quality-of-life scores: an example of nasopharyngeal carcinoma patients after radiotherapy using EORTC QLQ-C 30

机译：预期生活质量评分显示95％置信区间的可靠性：以EORTC QLQ-C 30放疗后的鼻咽癌患者的例子

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Background Many researchers use observed questionnaire scores to evaluate score reliability and to make conclusions and inferences regarding quality-of-life outcomes. The amount of false alarms from medical diagnoses that would be avoided if observed scores were substituted with expected scores is interesting, and understanding these differences is important for the care of cancer patients. Using expected scores to estimate the reliability of 95% confidence intervals (CIs) is rarely reported in published papers. We investigated the reliability of patient responses to a quality-of-life questionnaire and made recommendations for future studies of the quality of life of patients. Methods A total of 115 patients completed the EORTC core questionnaire QLQ-C30 (version 3) after radiotherapy. The observed response scores, assumed to be one-dimensional, were summed and transformed into expected scores using the Rasch rating scale model with WINSTEPS software. A series of simulations was performed using a unified bootstrap procedure after manipulating scenarios with different questionnaire lengths and patient numbers to estimate the reliability at 95% confidence intervals. Skewness analyses of the 95% CIs were compared to detect different effects between groups according to the two data sets of observed and expected response scores. Results We found that (1) it is necessary to report CIs for reliability and skewness coefficients in papers; (2) data derived from expected response scores are preferable to making inferences; and (3) visual representations displaying the 95% CIs of skewness values applied to item-by-item analyses can provide a useful interpretation of quality-of-life outcomes. Conclusion Reliability coefficients can be reported with 95% CIs by statistical software to evaluate the internal consistency of respondent scores on questionnaire items. The SPSS syntax procedures for estimating the reliability of the 95% CI, expected score generation and visual skewness analyses are demonstrated in this study. We recommend that effect sizes such as a 95% CI be reported along with p values reporting significant differences in quality-of-life studies.
机译：背景许多研究人员使用观察到的问卷评分来评估评分的可靠性，并就生活质量的结果做出结论和推断。如果将观察到的分数替换为预期分数，可以避免的医疗诊断错误警报的数量将引起人们的关注，了解这些差异对于癌症患者的护理至关重要。在出版的论文中，很少有人使用预期分数来估计95％置信区间（CI）的可靠性。我们调查了患者对生活质量问卷的反应的可靠性，并为以后的患者生活质量研究提出了建议。方法共有115例患者在放疗后完成了EORTC核心问卷QLQ-C30（第3版）。使用WINSTEPS软件使用Rasch评级量表模型，将观察到的假设为一维的响应分数相加并转换为预期分数。在操纵具有不同问卷长度和患者人数的场景后，使用统一的引导程序进行了一系列模拟，以在95％置信区间估计可靠性。根据观察到的和预期的反应得分的两个数据集，比较了95％CI的偏度分析，以检测组之间的不同影响。结果我们发现（1）有必要在论文中报告CI的信度和偏度系数; （2）从预期反应分数中得出的数据胜于推断。 （3）视觉显示显示偏斜值的95％CI应用于逐项分析，可以对生活质量的结果提供有用的解释。结论可以使用统计软件报告95％CI的可靠性系数，以评估问卷项目中受访者分数的内部一致性。这项研究证明了用于估计95％CI的可靠性，预期分数生成和视觉偏斜分析的SPSS语法程序。我们建议报告效应大小（例如95％CI）以及p值报告生活质量研究中的显着差异。

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