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在瘤护理途径中整合多领域信息以进行个性化决策的工具和策略:范围审查
Thanee M Uittenhout1, Jesse Jansen1, Kon-Siong Jie2
1Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences (FHML) Maastricht University, Maastricht, the Netherlands.
Journal of multidisciplinary healthcare
|September 10, 2024
概括
个性化瘤学决策需要整合医疗,健康和患者偏好数据. 目前用于这种综合方法的工具有限,但早期结果显示出对患者福祉的潜在益处.
科学领域:
- 在瘤学瘤学.
- 医疗保健服务研究 医疗服务研究
- 决策科学 决策科学 决策科学
背景情况:
- 在瘤学中,个性化决策越来越重要.
- 综合性瘤决策模型 (IODM) 强调了三个信息领域:医疗,患者健康状况和患者偏好/目标.
- 在了解如何在癌症治疗途径中有效地收集和整合这些信息方面存在差距.
研究的目的:
- 识别和评估用于收集和整合来自IODM三个领域的信息的工具和策略.
- 评估这些工具的实施和对决策和患者结果的影响.
主要方法:
- 在2023年10月在PubMed,Embase和Web of Science进行了系统的文献搜索.
- 七项研究符合纳入标准,描述了在所有三个IODM领域收集信息的工具.
- 提取了关于工具内容,实施和结果的数据.
主要成果:
- 在2576项已识别的研究中,只有7项研究描述了在所有三个IODM领域的全面数据收集.
- 通过对话,问卷和评估收集信息,通常由护士或多学科团队进行.
- 在工具实施后,治疗计划在3%至53%的病例中被修改;有限的数据表明患者的结果是积极的.
结论:
- 目前的文献缺乏关于实施战略,流程,时间和参与使用IODM一致工具的人员的全面细节.
- 尽管存在局限性,但鉴定到的研究表明,通过综合决策来改善患者福祉和减少并发症的有希望的潜力.
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