针对中国癌症幸存者的支持性护理需求的基于小组的轨迹建模:系统性审查
1College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Asia-Pacific journal of oncology nursing
|July 18, 2025
概括
癌症幸存者表现出不同的支持性护理需求 (SCN) 轨迹,受人口统计和症状的影响. 了解这些模式对于定制的幸存者护理至关重要,但更广泛的社会环境因素需要更多的研究.
科学领域:
- 在瘤学瘤学.
- 医疗保健服务研究 医疗服务研究
- 生物统计学 生物统计学
背景情况:
- 支持性护理需求 (SCN) 对癌症幸存者的福祉至关重要.
- 了解SCN随着时间的推移而变化的性质对于有效的幸存者护理至关重要.
- 基于组的轨迹建模提供了一个强大的统计方法来分析纵向数据.
研究的目的:
- 使用基于组的轨迹建模系统地综合研究,以分析癌症幸存者的SCN轨迹.
- 确定影响这些SCN轨迹的因素.
主要方法:
- 在多个数据库中进行了全面的文献搜索.
- 两位独立审查员使用已建立的检查清单对研究质量进行了选和评估.
- 数据被提取并以叙事方式合成.
主要成果:
- 十项研究符合纳入标准,确定了五种不同的SCN轨迹 (高度稳定,中等稳定,低稳定,下降,增加).
- 确定了18个重要的影响因素,主要是人口,临床和症状相关的.
- 社会生态模型 (SEM) 框架用于分类.
结论:
- 癌症幸存者中的SCNs轨迹是异质的.
- 目前的研究主要集中在个人和疾病层面的因素上.
- 需要对社会支持,医疗保健系统和社区影响进行进一步的调查,以全面了解和量身定制的护理.
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