Feasibility of Glaucoma Detection Programs for At-Risk Populations Using Existing Health Care Infrastructure.

PRCIS: Targeted glaucoma screening strategies performed within retail care-based clinics and Federally Qualified Health Centers (FQHCs) uncover a high prevalence of glaucoma. OBJECTIVE: To summarize the glaucoma detection and maintenance programs that utilize existing health care infrastructure to promote up-scalable programs. METHODS: Health care infrastructure that already exists may facilitate glaucoma detection. This infrastructure includes retail-based optometry practices and FQHC. Persons who are at risk for glaucoma are disproportionately represented within the patient populations served by much of this infrastructure, thus suggesting that it could be useful for deploying glaucoma screening programs. Glaucoma screening within FQHCs reveals a very high prevalence of glaucoma and related disease in the patients seeking care at these facilities. RESULTS: These telemetric-based care delivery programs have a high patient acceptance. A simulated telemedicine program modeled after a telemedicine program based in Walmart Vision Centers for the diagnosis of glaucoma indicated that there was moderate diagnostic agreement between an ophthalmologist's telemedicine diagnosis and an ophthalmologist's in-person diagnosis. There was also moderate agreement between an optometrist's telemedicine diagnosis and the ophthalmologist's in-person diagnosis. CONCLUSION: Telemetric care delivery programs that capitalize on existing infrastructure within a retail-based care setting or FQHCs may provide a promising setting to cost-effectively screen for glaucoma and other eye diseases that are potentially expandable nationwide.

The Importance of Being FAIR and FAST - The Clinical Epidemiology and Study Platform of the German Network University Medicine (NUKLEUS).

The COVID-19 pandemic has urged the need to set up, conduct and analyze high-quality epidemiological studies within a very short time-scale to provide timely evidence on influential factors on the pandemic, e.g. COVID-19 severity and disease course. The comprehensive research infrastructure developed to run the German National Pandemic Cohort Network within the Network University Medicine is now maintained within a generic clinical epidemiology and study platform NUKLEUS. It is operated and subsequently extended to allow efficient joint planning, execution and evaluation of clinical and clinical-epidemiological studies. We aim to provide high-quality biomedical data and biospecimens and make its results widely available to the scientific community by implementing findability, accessibility, interoperability and reusability - i.e. following the FAIR guiding principles. Thus, NUKLEUS might serve as role model for FAIR and fast implementation of clinical epidemiological studies within the setting of University Medical Centers and beyond.