前列腺癌积极监测的实践经验:系统性审查和元综合
Russell J Briggs1,2, Jeff Dunn3,4, Suzanne K Chambers3,5
1Centre for Health Research, University of Southern Queensland, Brisbane, Australia. Russell.briggs@unisq.edu.au.
Journal of cancer survivorship : research and practice
|February 12, 2025
概括
在前列腺癌积极监测的男性经历不确定性和压力. 恢复对自己的健康旅程的控制,可以在这种管理方法中建立性和信心.
科学领域:
- 在瘤学瘤学.
- 定性研究是指质量研究.
- 患者体验 患者体验
背景情况:
- 前列腺癌是全球流行的一种恶性瘤.
- 积极监测是局部性前列腺癌的常见管理策略.
- 很大一部分男性停止了积极的监视,需要了解他们的经历.
研究的目的:
- 探索正在接受前列腺癌积极监测的男性的实践经验.
- 确定影响男性继续或停止积极监视的决定的因素.
- 了解积极监视对患者的心理影响.
主要方法:
- 根据PRISMA指南进行了系统审查和元综合.
- 包括了详细介绍男性积极监视经验的定性研究.
- 用托马斯和哈登的方法进行了数据合成.
主要成果:
- 对13项研究的分析揭示了两个主要主题:"缺乏确定性"和"重新建立机构".
- 积极监视的男性往往会失去控制,导致焦虑和压力.
- 恢复代理意识可以增强对主动监控的性和信心.
结论:
- 积极监视的经验的特点是持续的不确定性,减少的代理和周期性压力.
- 加强卫生专业人员的支持对于建立患者对主动监测的信心至关重要.
- 需要进一步的研究,以确定有效的干预措施,促进代理和支持男性的积极监视.
更多相关视频
07:25A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
13.0K
06:08A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
122
相关概念视频
Cancer Survival Analysis
321
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
321
Longitudinal Research
11.8K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.8K
