What can we learn from the implementation of a novel point-of-care Antigen-Based SARS-CoV-2 Rapid Diagnostic Test to Screen Incoming Patients in a large University Hospital? (COVID-19)
- Conditions
- COVID-19
- Registration Number
- DRKS00023584
- Lead Sponsor
- niversitätsklinikum Heidelberg
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 30
18 years or older; capable to give informed consent, having signed informed consent.
For heads of departments: Head of a department at UKHD currently employing a RDT-based COVID-19 testing strategy following the task-forces recommendation.
For practitioners: Medical practitioner (e.g. nurses, medical doctors) responsible for performing RDTs with patients at a clinic within UKHD.
For Patients: Patient admitted for elective care, emergency care, or outpatient treatment to a clinic within UKHD and having been tested for COVID-19 using a RDT.
Heads of non/late-implementing department: Head of a department at UKHD currently not employing a RDT-based COVID-19 testing strategy following the task-forces recommendation.
Task-Force Members: Member of the COVID-19 task force at UKHD involved in preparing the recommendation with regards to COVID-19 RDTs
Trainers: Individual responsible for capacity building for and implementation of RDT testing strategies at UKHD.
Refusing or withdrawing informed consent; Incapacitated persons (mentally challenged; physical disability – i.e. hearing and speech impaired; totally blind)
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Analysis of the implementation of the AG-RDTs at UKHD (fidelity, adoption, adaptation), based on the interviews, observations, and diagnostic yield data described above.
- Secondary Outcome Measures
Name Time Method Recommendations for future implementation of AG-RDT-based testing strategies in high-risk settings, based on the collected data (Interviews, observations, data on diagnostic yield).