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Investigating child self-report capacity: a systematic review and utility analysis.
Quality of Life Research ( IF 3.3 ) Pub Date : 2020-01-03 , DOI: 10.1007/s11136-019-02387-3
Katherine B Bevans 1 , Isaac L Ahuvia 2 , Taye M Hallock 1 , Rochelle Mendonca 3 , Stephanie Roth 1 , Christopher B Forrest 4, 5 , Courtney Blackwell 2 , Jessica Kramer 6 , Lauren Wakschlag 2
Affiliation  

PURPOSE To identify and evaluate methods for assessing pediatric patient-reported outcome (PRO) data quality at the individual level. METHODS We conducted a systematic literature review to identify methods for detecting invalid responses to PRO measures. Eight data quality indicators were applied to child-report data collected from 1780 children ages 8-11 years. We grouped children with similar data quality patterns and tested for between-group differences in factors hypothesized to influence self-report capacity. RESULTS We identified 126 articles that described 494 instances in which special measures or statistical techniques were applied to evaluate data quality at the individual level. We identified 22 data quality indicator subtypes: 9 direct methods (require administration of special items) and 13 archival techniques (statistical procedures applied to PRO data post hoc). Application of archival techniques to child-report PRO data revealed 3 distinct patterns (or classes) of the data quality indicators. Compared to class 1 (56%), classes 2 (36%) and 3 (8%) had greater variation in their PRO item responses. Three archival indicators were especially useful for differentiating plausible item response variation (class 2) from statistically unlikely response patterns (class 3). Neurodevelopmental conditions, which are associated with a range of cognitive processing challenges, were more common among children in class 3. CONCLUSION A multi-indicator approach is needed to identify invalid PRO responses. Once identified, assessment environments and measurement tools should be adapted to best support these individuals' self-report capacity. Individual-level data quality indicators can be used to gauge the effectiveness of these accommodations.

中文翻译:

调查儿童的自我报告能力:系统的审查和效用分析。

目的确定和评估在个体水平上评估儿科患者报告的结局(PRO)数据质量的方法。方法我们进行了系统的文献综述,以确定用于检测对PRO措施无效反应的方法。八个数据质量指标应用于从1780个8-11岁儿童中收集的儿童报告数据。我们将具有相似数据质量模式的儿童分组,并测试了假设影响自报告能力的因素之间的组间差异。结果我们确定了126篇文章,这些文章描述了494个实例,其中应用了特殊措施或统计技术来评估各个级别的数据质量。我们确定了22种数据质量指标子类型:9种直接方法(需要管理特殊物品)和13种归档技术(统计程序应用于事后PRO数据)。档案技术在儿童报告PRO数据中的应用揭示了数据质量指标的3种不同模式(或类)。与第1类(56%)相比,第2类(36%)和第3类(8%)在PRO项目响应中的差异更大。三个档案指标对于区分合理的项目响应变化(2类)和统计上不太可能的响应模式(3类)特别有用。在3级儿童中,与一系列认知加工挑战相关的神经发育状况更为普遍。结论结论需要一种多指标方法来识别无效的PRO反应。一旦确定,评估环境和测量工具应进行调整,以最好地支持这些人的自我报告能力。个人级别的数据质量指标可用于评估这些调整的有效性。
更新日期:2020-01-03
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