Reliability of self-reported breast screening information in a survey of lower income women.
Reliability of self-reported breast screening information in a survey of lower income women.
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对低收入女性的调查中自我报告的乳房筛查信息的可靠性。
DOI：
10.1006/pmed.1997.0138
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Worden,JK
中科院分区：
文献类型：
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作者：
Vacek,PM;Mickey,RM;Worden,JK
BackgroundSelf-reported behavior被广泛用于估计乳腺癌筛查的患病率和评估方案，促进筛查，但以前没有进行详细的研究reliability.MethodsReliability进行了评估，通过比较回答问题的筛查行为从重复个人访谈的382名妇女年龄40岁及以上生活在低收入人口普查区的两个佛罗里达社区。结果“曾做过临床乳腺检查”、“曾做过乳房X线检查”、“过去一年内做过乳房X线检查”、“最近一次乳房X线检查日期”、“乳房X线检查次数”的信度分别为κ = 0. 38、κ = 0. 82、κ = 0. 65、r= 0. 54、r = 0. 72。64%的妇女在两次访谈中报告的最后一次乳房X光检查的日期在1个月内一致，而50%的妇女的最后一次临床乳房检查的日期在1个月内一致。可靠性“曾经有过乳房X光检查”是显着相关的人口变数。ConclusionsWomen可靠地报告曾经有过乳房X光检查，但有关的时间和频率的信息可靠性较低。这些结果对乳腺癌筛查研究有影响，因为测量误差会影响估计的精度和检测程序效果所需的样本量。
BackgroundSelf-reported behavior is widely used to estimate the prevalence of breast cancer screening and to evaluate programs for promoting screening, but detailed studies of reliability have not previously been performed.MethodsReliability was assessed by comparing responses to questions about screening behavior from repeat personal interviews of 382 women age 40 and older living in low-income census tracts of two Florida communities. Reliability was assessed using Pearson's correlation (r) and kappa (κ) coefficients.ResultsEstimated reliabilities were κ = 0.38 for “ever had clinical breast examination,” κ = 0.82 for “ever had mammogram,” κ = 0.65 for “mammogram in past year,”r= 0.54 for “date of last mammogram,” andr= 0.72 for “number of mammograms.” The dates of last mammogram reported at the two interviews agreed within 1 month for 64% of the women, while the dates of last clinical breast examination agreed within 1 month for 50% of the women. Reliability of “ever had mammogram” was significantly related to demographic variables.ConclusionsWomen reliably report ever having mammography, but information about timing and frequency has lower reliability. The results have implications for breast screening research because measurement error affects the precision of estimates and the sample sizes needed to detect program effects.