dVP_FAM-development and evaluation of a transsectoral digital care platform for individuals with familial cancer risks: study protocol for a multi-centre, cluster-randomised, mixed-methods study

dVP_FAM——针对具有家族癌症风险个体的跨部门数字护理平台的开发和评估:一项多中心、整群随机、混合方法研究的研究方案

阅读:2

Abstract

BACKGROUND: Individuals with a family history of cancer face an increased risk of developing breast and ovarian cancer. Up to 30% of the 70,000 annual breast cancer cases in Germany are associated with a familial cancer burden. Early identification of these risks is crucial as personalised measures can enable early detection or prevention of cancer. Primary care gynaecologists are uniquely suited to assess family histories and facilitate referrals to hereditary cancer centres. However, solutions on how to support early referral are still lacking. This study evaluates the impact of the digital care platform dVP_FAM as a potential remedy compared to standard care. The primary hypothesis is that the platform will increase the proportion of care-seeking women with a familial cancer risk who have not yet developed cancer. Secondary outcomes include improvements in care efficiency, patient empowerment, and health-related quality of life. METHODS: The study is a multi-centre, cluster-randomised, mixed-method trial involving 44 gynaecological centres and 800 participants recruited through hereditary breast and ovarian cancer centres. All participants receive standard guideline-based care, while the intervention group also uses the dVP_FAM platform. The primary endpoint measures the proportion of participants with a familial cancer history who are cancer-free when seeking specialist counselling. Secondary outcomes are assessed using validated tools like the SF-12 and custom measures. Data collection employs a convergent mixed-methods approach, integrating quantitative and qualitative evidence. DISCUSSION: The dVP_FAM platform represents an innovative approach to digitising cancer prevention in Germany, enhancing early detection and care coordination. If successful, dVP_FAM could serve as a scalable model for digital health innovations, improving efficiency and modernising the delivery of personalised care across health systems. TRIAL REGISTRATION: German Clinical Trials Register, DRKS00030371 . Registered on 02 October 2023.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。