College of Nursing, Gachon University, Incheon 21936, Korea.
College of Nursing, Seoul National University, Seoul 03080, Korea.
Int J Environ Res Public Health. 2021 Mar 30;18(7):3579. doi: 10.3390/ijerph18073579.
The number of breast reconstructions following mastectomy has increased significantly during the last decades, but women are experiencing a number of conflicts with breast reconstruction decisions. The aim of this study was to develop a decision tree model of breast reconstruction and to examine its predictability. Mixed method design using ethnographic decision tree modeling was used. In the qualitative stage, data were collected using individual and focus group interviews and analyzed to construct a decision tree model. In the quantitative stage, the questionnaire was developed questions based on the criteria identified in the qualitative stage. A total of 61 women with breast cancer participated in 2017. Five major criteria: recovery of body image; impact on recurrence; recommendations from others; financial resources; and confirmation by physicians. The model also included nine predictive pathways. It turns out that the model predicted 90% of decisions concerning whether or not to have breast reconstruction. The findings indicate that the five criteria play a key role in decision-making about whether or not to have breast reconstruction. Thus, more comprehensive issues, including these five criteria, need to be integrated into an intervention for women with breast cancer to make their best decision on breast reconstruction.
在过去几十年中，乳房切除术后的乳房重建数量显著增加，但女性在乳房重建决策方面面临着许多冲突。本研究旨在开发乳房重建决策树模型，并检验其可预测性。采用混合方法设计，使用民族志决策树建模。在定性阶段，使用个人和焦点小组访谈收集数据，并进行分析以构建决策树模型。在定量阶段，问卷根据定性阶段确定的标准提出问题。共有 61 名乳腺癌女性于 2017 年参与研究。5 个主要标准：身体形象的恢复；对复发的影响；他人的建议；经济资源；以及医生的确认。该模型还包括 9 条预测途径。结果表明，该模型预测了是否进行乳房重建的决定 90%。研究结果表明，这 5 个标准在是否进行乳房重建的决策中起着关键作用。因此，需要将更全面的问题，包括这 5 个标准，纳入乳腺癌女性的干预措施中，以帮助她们做出最佳的乳房重建决策。
