Can a brief video intervention improve breast cancer clinical trial knowledge and beliefs?
Can a brief video intervention improve breast cancer clinical trial knowledge and beliefs?
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DOI：
10.1016/s0277-9536(03)00162-x
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发表时间：
2004-01-01
影响因子：
5.4
通讯作者：
Scott, LB
中科院分区：
文献类型：
--
作者：
Curbow, B;Fogarty, LA;Scott, LB
在美国，共有262名女性（161名乳腺癌幸存者和101名对照组）暴露于使用建模的视频小插曲，其中医生与正在做出治疗决定的女性讨论临床试验（CT）的概念。采用前测-后测设计，评估临床试验知识和信念的改善。结果表明，视频建模是一个强大的工具，增加CT知识（前测平均值=41.5%正确，后测平均值=77.5%正确），但不是为了提高CT信念。临床试验知识的增加，以变化分数衡量，与白色种族、较低的教育水平和预测试乳腺癌知识、更消极的预测试CT信念以及对女性患乳腺癌的终生概率的更高估计相关。当使用分层多元回归将预测试CT知识添加到分析中时，除白色人种外的所有变量均变得不显著; CT知识的增加与预测试CT知识较低相关。结果表明，低学历，低乳腺癌知识，和偏见的概率评估介导的影响，通过前测分数。测试后阳性CT信念的增加与年龄较大有关，较少考虑乳腺癌，并且总样本中的测试前CT知识较低。当预测试CT信念被添加到使用分层多元回归分析，所有其他变量变得不显着; CT信念的增加与具有较低的预测试CT信念，再次表明其他变量的影响的调解。(C)2003爱思唯尔科技有限公司版权所有。
A total of 262 women in the USA (161 breast cancer survivors and 101 controls) were exposed to a video vignette using modeling in which a physician discussed the concept of a clinical trial (CT) with a woman who was in the process of making a treatment decision. A pretest-post-test design was used and improvements in clinical trial knowledge and beliefs were assessed. Results indicate that video modeling is a powerful tool for increasing CT knowledge (pretest mean=41.5% correct, post-test mean=77.5% correct) but not for improving CT beliefs. Increased clinical trial knowledge, as measured by change scores, was associated with white race, lower levels of education and pretest breast cancer knowledge, more negative pretest CT beliefs, and a higher estimate of the lifetime probability that a woman will have breast cancer. When pretest CT knowledge was added to the analysis using hierarchical multiple regression, all variables except white race became nonsignificant; an increase in CT knowledge was associated with having lower pretest CT knowledge. Results indicate that the effects of low education, low breast cancer knowledge, and biased probability assessment were mediated through the pretest score. An increase in post-test positive CT beliefs was associated with older age, thinking about breast cancer less often, and having lower pretest CT knowledge in the total sample. When pretest CT beliefs was added to the analysis using hierarchical multiple regression, all other variables became nonsignificant; an increase in CT beliefs was associated with having lower pretest CT beliefs, again indicating mediation of the effects of other variables. (C) 2003 Elsevier Science Ltd. All rights reserved.