DenseBreast-info, Inc., Deer Park, NY.
Department of Radiology, University of Pittsburgh School of Medicine, Magee-Womens Hospital of UPMC, Pittsburgh, PA.
Menopause. 2021 Apr 26;28(8):909-917. doi: 10.1097/GME.0000000000001780.
We sought to assess the effect of an educational intervention, based on DenseBreast-info.org website content, on women's healthcare provider knowledge of breast density, its risk and screening implications, and comfort level discussing these topics with patients.
US-based women's healthcare providers participated in a web-based pretest/posttest study from May 14, 2019 to September 30, 2019. Pretest included demographics; comfort/knowledge discussing breast density impact on risk and screening; and educational material. Posttest contained the same knowledge and comfort questions. We assessed mean pretest/posttest score and comfort level differences (paired t tests) and pretest/posttest knowledge gap differences (McNemar test). We evaluated associations of baseline characteristics with pretest score and score improvement using multiple linear regression, and associations with knowledge gaps using logistic regression.
Of 177 providers analyzed, 74.0% (131/177) were physicians and 71.8% (127/177) practiced obstetrics/gynecology. Average test score increased from 40.9% (5.7/14) responses correct pretest to 72.1% (10.1/14) posttest (P < 0.001). Pretest, 56.5% (100/177) knew women with extremely dense breasts have four-to-six-fold greater breast cancer risk than those with fatty breasts; 29.4% (52/177) knew risk increases with increasing glandular tissue; only 5.6% (10/177) knew 3D/tomosynthesis does not improve cancer detection in extremely dense breasts over 2D mammography; and 70.6% (125/177) would consider supplemental ultrasound after mammography in an average-risk 50-year old with dense breasts. Postintervention, these knowledge gaps resolved or reduced (all P < 0.005) and comfort in discussing breast density implications increased (all P < 0.001).
Important knowledge gaps about implications of breast density exist among women's healthcare providers, which can be effectively addressed with web-based education.
我们旨在评估基于 DenseBreast-info.org 网站内容的教育干预对女性医疗保健提供者对乳腺密度、其风险和筛查意义的了解，以及与患者讨论这些话题的舒适度的影响。
2019 年 5 月 14 日至 2019 年 9 月 30 日，美国的女性医疗保健提供者参与了一项基于网络的预测试/后测试研究。预测试包括人口统计学数据；讨论乳腺密度对风险和筛查影响的舒适度/知识；以及教育材料。后测包含相同的知识和舒适度问题。我们评估了平均预测试/后测试得分和舒适度差异（配对 t 检验）以及预测试/后测试知识差距差异（McNemar 检验）。我们使用多元线性回归评估了基线特征与预测试得分和得分提高的相关性，以及与知识差距的相关性使用逻辑回归。
在分析的 177 名提供者中，74.0%（131/177）为医生，71.8%（127/177）从事妇产科工作。平均测试分数从预测试的 40.9%（5.7/14）正确答案增加到后测试的 72.1%（10.1/14）（P<0.001）。在预测试中，56.5%（100/177）知道乳腺密度极高的女性患乳腺癌的风险是乳腺脂肪型女性的四到六倍；29.4%（52/177）知道风险随乳腺组织的增加而增加；只有 5.6%（10/177）知道 3D/断层合成术不会提高致密乳腺中 2D 乳房 X 光检查的癌症检出率；并且 70.6%（125/177）会考虑在致密乳腺的平均风险 50 岁女性中在乳房 X 光检查后进行补充超声检查。在干预后，这些知识差距得到解决或缩小（均 P<0.005），并且讨论乳腺密度影响的舒适度增加（均 P<0.001）。
女性医疗保健提供者对乳腺密度的影响存在重要的知识差距，可以通过基于网络的教育有效地解决这些差距。
