Andkhoie Mustafa, Meyer Desneige, Szafron Michael
School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada.
Can Urol Assoc J. 2019 Jul;13(7):E220-E225. doi: 10.5489/cuaj.5538.
The purpose of this research is to gather, collate, and identify key factors commonly studied in localized prostate cancer (LPC) treatment decision-making in Canada and the U.S.
This scoping review uses five databases (Medline, EMBASE, CINAHL, AMED, and PsycInfo) to identify relevant articles using a list of inclusion and exclusion criteria applied by two reviewers. A list of topics describing the themes of the articles was extracted and key factors were identified using principal component analysis (PCA). A word cloud of titles and abstracts of the relevant articles was created to identify complementary results to the PCA.
This review identified 77 relevant articles describing 32 topics related to LPC treatment decision-making. The PCA grouped these 32 topics into five key factors commonly studied in LPC treatment decision-making: 1) treatment type; 2) socioeconomic/demographic characteristics; 3) personal reasons for treatment choice; 4) psychology of treatment decision experience; and 5) level of involvement in the decision-making process. The word cloud identified common phrases that were complementary to the factors identified through the PCA.
This research identifies several possible factors impacting LPC treatment decision-making. Further research needs to be completed to determine the impact that these factors have in the LPC treatment decision-making experience.
本研究的目的是收集、整理并确定在加拿大和美国局部前列腺癌(LPC)治疗决策中常见的关键因素。
本范围综述使用五个数据库(医学索引数据库、荷兰医学文摘数据库、护理学与健康领域数据库、联合和补充医学数据库以及心理学文摘数据库),由两名评审员根据纳入和排除标准清单来识别相关文章。提取了一份描述文章主题的主题列表,并使用主成分分析(PCA)确定关键因素。创建了相关文章标题和摘要的词云,以识别与主成分分析互补的结果。
本综述确定了77篇相关文章,描述了32个与LPC治疗决策相关的主题。主成分分析将这32个主题分为LPC治疗决策中常见的五个关键因素:1)治疗类型;2)社会经济/人口特征;3)治疗选择的个人原因;4)治疗决策体验的心理因素;5)决策过程中的参与程度。词云确定了与通过主成分分析确定的因素互补的常见短语。
本研究确定了几个可能影响LPC治疗决策的因素。需要完成进一步的研究,以确定这些因素在LPC治疗决策体验中的影响。