dVP_FAM-为患有家族癌症风险的个人开发和评估跨部门数字护理平台:为多中心,集群随机化,混合方法研究研究的研究协议
K Klein1,2, F Kendel3, S Schüürhuis4
1Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin, Corporate Member of Freie Universität and Humboldt Universität zu Berlin, Berlin, Germany. katharina.klein@charite.de.
Trials
|June 2, 2025
概括
一个数字平台,dVP_FAM,旨在改善早期癌症风险检测在有家族病史的妇女. 本研究评估了其对及时转诊和预防性护理的影响,并可能增强癌症预防策略.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 预防医学 预防医学
背景情况:
- 家庭癌症史增加了乳腺和卵巢癌的风险,占德国乳腺癌病例的30%.
- 早期识别家族癌症风险对于实施个性化预防和早期检测策略至关重要.
- 妇科医生是评估家族病史和转诊患者到遗传性癌症中心的关键,但需要支持早期转诊.
研究的目的:
- 评估数字护理平台dVP_FAM对增加寻求及时专家咨询的家族癌症风险女性比例的影响.
- 评估二次结果,包括改善护理效率,患者赋权和与健康有关的生活质量.
- 探索dVP_FAM作为癌症预防数字健康创新的可扩展模型的潜力.
主要方法:
- 一个多中心,集群随机化,混合方法试验,涉及44个妇科中心和800名参与者.
- 参与者接受标准的护理;干预组还使用dVP_FAM平台.
- 主要终点:寻求专家咨询的无癌症参与者与家族癌症病史的比例. 通过经过验证的工具和定制措施评估的二次结果.
主要成果:
- 该研究正在进行中;主要和次要结果尚未完全确定.
- 数据收集采用了融合混合方法方法,整合了定量和定性证据.
- 目前正在评估dVP_FAM平台在提高早期检测和护理协调方面的有效性.
结论:
- dVP_FAM平台为德国的癌症预防提供了一种创新的数字方法.
- 成功实施可以提高早期检测,护理协调和个性化癌症护理的效率.
- 在医疗保健系统中,dVP_FAM可以作为未来数字健康创新的可扩展模型.
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