癌症治疗相关记忆问题的患者自我报告筛选方法:潜在结构和信度分析。

Treatment strategies. Oncology Pub Date : 2011-01-01
Pascal Jean-Pierre, Gary R Morrow, Supriya G Mohile, John Stevenson, Kevin Fiscella, Jennifer J Griggs, Joseph A Roscoe, Jennifer Carroll, Devinder Singh, James Atkins, Ravi Khanna
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引用次数: 0

摘要

背景:癌症治疗会对记忆产生有害影响。重要的是量化这些影响,评估干预措施的有效性,以改善它们,并监测癌症患者的记忆随时间的变化。然而,目前缺乏与癌症治疗相关的记忆问题的简单可靠的筛查措施。我们报告了一个简短的患者自我报告的癌症相关记忆问题筛查测量(SRMP)的潜在结构和可靠性分析。方法:本分析中纳入的参与者(N=781)是一项更大的癌症相关疲劳研究的一部分。患者在四个时间点完成疲劳症状检查表(FSCL)。FSCL中评估记忆问题的五个项目被汇总到SRMP中。使用各种标准来确定潜在结构分析数据的适用性:Kaiser- myer - olkin, Bartlett's球形检验,特征值(λ) >1的Kaiser最简单标准检验,以及项目相关系数r≥0.30的存在。计算主成分分析(PCA)和Cronbach系数αs来确定SRMP的效度和内部一致性。结果:量表的信度评估显示量表具有较高的内部一致性,α = 0.90。主成分分析显示,单分量λ > 1的一维测量解释了71%的方差。KMO值为0.87,Bartlett's球形度检验显著(p < 0.001)。随后的SRMP信度评估显示αs为0.90及以上,所有的一个成分解释了71%至73%的方差。结论:研究结果支持使用SRMP作为癌症治疗相关记忆问题的一维简短筛查措施。SRMP可以作为潜在记忆问题的初步指标,可能需要进一步检查。未来的研究需要确定SRMP的结构效度。
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A Brief Patient Self-Report Screening Measure of Cancer Treatment-Related Memory Problems: Latent Structure and Reliability Analysis.

Background: Memory can be deleteriously affected by cancer treatment. It is important to quantify these effects, to assess the effectiveness of interventions to ameliorate them, and to monitor changes in cancer patients' memories over time. However, brief and reliable screening measures of cancer treatment-related memory problems are lacking. We report on the latent structure and reliability analysis of a brief patient self-reported cancer-related memory problem screening measure (SRMP).

Methods: Participants (N=781) included in this analysis were part of a larger study on cancer-related fatigue. Patients completed the Fatigue Symptom Checklist (FSCL) at four time points. Five items from the FSCL that assess memory problems were aggregated into the SRMP. Suitability of the data for latent structure analysis was determined using the various criteria: Kaiser-Myer-Olkin, Bartlett's Test of sphericity, Kaiser's simplest criterion test of eigenvalue (λ) >1, and the presence of item-correlation coefficients of r ≥ 0.30. Principal components analysis (PCA) and Cronbach coefficient alphas (αs) were calculated to determined validity and internal consistency of the SRMP.

Results: Reliability assessment of the SRMP revealed high internal consistency of the SRMP as indicated by α = 0.90. The PCA revealed a one-dimensional measure with a single component with λ > 1 that explained 71% of the variance. The KMO value was .87, and the Bartlett's Test of Sphericity was significant (p < 0.001). Subsequent reliability assessments of the SRMP revealed αs of 0.90 and above, all with one component explaining 71% to 73% of the variances.

Conclusion: The results support the use of the SRMP as a one-dimensional brief screening measure of cancer treatment-related memory problems. The SRMP could be used as an initial indicator of underlying memory problems that may need further examination. Future studies need to establish the construct validity of the SRMP.

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