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The German Centre for Cardiovascular Research (DZHK) is one of the German Centres for Health Research and aims to conduct early and guideline-relevant studies to develop new therapies and diagnostics that impact the lives of people with cardiovascular disease. Therefore, DZHK members designed a collaboratively organised and integrated research platform connecting all sites and partners. The overarching objectives of the research platform are the standardisation of prospective data and biological sample collections among all studies and the development of a sustainable centrally standardised storage in compliance with general legal regulations and the FAIR principles. The main elements of the DZHK infrastructure are web-based and central units for data management, LIMS, IDMS, and transfer office, embedded in a framework consisting of the DZHK Use and Access Policy, and the Ethics and Data Protection Concept. This framework is characterised by a modular design allowing a high standardisation across all studies. For studies that require even tighter criteria additional quality levels are defined. In addition, the Public Open Data strategy is an important focus of DZHK. The DZHK operates as one legal entity holding all rights of data and biological sample usage, according to the DZHK Use and Access Policy. All DZHK studies collect a basic set of data and biosamples, accompanied by specific clinical and imaging data and biobanking. The DZHK infrastructure was constructed by scientists with the focus on the needs of scientists conducting clinical studies. Through this, the DZHK enables the interdisciplinary and multiple use of data and biological samples by scientists inside and outside the DZHK. So far, 27 DZHK studies recruited well over 11,200 participants suffering from major cardiovascular disorders such as myocardial infarction or heart failure. Currently, data and samples of five DZHK studies of the DZHK Heart Bank can be applied for.
Background
The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level. The “COVID-19 Data Exchange Platform” (CODEX) as part of NUM establishes a harmonised infrastructure that supports research use of COVID-19 datasets. The broad consent (BC) of the Medical Informatics Initiative (MII) is agreed by all German federal states and forms the legal base for data processing. All 34 participating university hospitals (NUM sites) work upon a harmonised infrastructural as well as legal basis for their data protection-compliant collection and transfer of their research dataset to the central CODEX platform. Each NUM site ensures that the exchanged consent information conforms to the already-balloted HL7 FHIR consent profiles and the interoperability concept of the MII Task Force “Consent Implementation” (TFCI). The Independent Trusted Third-Party (TTP) of the University Medicine Greifswald supports data protection-compliant data processing and provides the consent management solutions gICS.
Methods
Based on a stakeholder dialogue a required set of FHIR-functionalities was identified and technically specified supported by official FHIR experts. Next, a “TTP-FHIR Gateway” for the HL7 FHIR-compliant exchange of consent information using gICS was implemented. A last step included external integration tests and the development of a pre-configured consent template for the BC for the NUM sites.
Results
A FHIR-compliant gICS-release and a corresponding consent template for the BC were provided to all NUM sites in June 2021. All FHIR functionalities comply with the already-balloted FHIR consent profiles of the HL7 Working Group Consent Management. The consent template simplifies the technical BC rollout and the corresponding implementation of the TFCI interoperability concept at the NUM sites.
Conclusions
This article shows that a HL7 FHIR-compliant and interoperable nationwide exchange of consent information could be built using of the consent management software gICS and the provided TTP-FHIR Gateway. The initial functional scope of the solution covers the requirements identified in the NUM-CODEX setting. The semantic correctness of these functionalities was validated by project-partners from the Ludwig-Maximilian University in Munich. The production rollout of the solution package to all NUM sites has started successfully.
Background
A redistribution of tasks between specialized nurses and primary care physicians, i.e., models of advanced nursing practice, has the potential to improve the treatment and care of the growing number of people with dementia (PwD). Especially in rural areas with limited access to primary care physicians and specialists, these models might improve PwD’s quality of life and well-being. However, such care models are not available in Germany in regular healthcare. This study examines the acceptance, safety, efficacy, and health economic efficiency of an advanced nursing practice model for PwD in the primary care setting in Germany.
Methods
InDePendent is a two-arm, multi-center, cluster-randomized controlled intervention study. Inclusion criteria are age ≥70 years, cognitively impaired (DemTect ≤8) or formally diagnosed with dementia, and living in the own home. Patients will be recruited by general practitioners or specialists. Randomization is carried out at the physicians’ level in a ratio of 1:2 (intervention vs. waiting-control group). After study inclusion, all participants will receive a baseline assessment and a follow-up assessment after 6 months. Patients of the intervention group will receive advanced dementia care management for 6 months, carried out by specialized nurses, who will conduct certain tasks, usually carried out by primary care physicians. This includes a standardized assessment of the patients’ unmet needs, the generation and implementation of an individualized care plan to address the patients’ needs in close coordination with the GP. PwD in the waiting-control group will receive routine care for 6 months and subsequently become part of the intervention group. The primary outcome is the number of unmet needs after 6 months measured by the Camberwell Assessment of Need for the Elderly (CANE). The primary analysis after 6 months is carried out using multilevel models and will be based on the intention-to-treat principle. Secondary outcomes are quality of life, caregiver burden, acceptance, and cost-effectiveness. In total, n=465 participants are needed to assess significant differences in the number of unmet needs between the intervention and control groups.
Discussion
The study will provide evidence about the acceptance, efficacy, and cost-effectiveness of an innovative interprofessional concept based on advanced nursing care. Results will contribute to the implementation of such models in the German healthcare system. The goal is to improve the current treatment and care situation for PwD and their caregivers and to expand nursing roles.