Data and Analysis for Alzheimer's Study, Viral Genomics

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        "description": "Analysis of healthcare records pertaining to the population of Germany. The University wants to study the potential correlation between antiviral medication and later onset of Alzheimer disease. The study involves healthcare records in Scotland, Wales, and Germany. The German arm of the study is to be performed by IQVIA, Germany, a Human Data Science Company, that holds an extensive database and accompanying software, the IMS(r) Disease Analyzer, covering over 3 million patients in Germany.",
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    "description": "A publication appeared last year from researchers in Taipei (Tzeng et al., Neurotherapeutics 15: 417-429) who had used the Taiwan National Health Insurance Research Database to examine the relationship between antiviral medication (AVM) and later onset of Alzheimer disease (AD). They who reported that AVM negatively correlated with AD, an important finding. We have been asked by our funding sponsor to replicate this finding in a different population. Because the population of Scotland may be insufficient to provide satisfactory statistical power, we have elected to pursue studies, in parallel, in several European countries. The USA was not favoured as a target country in view of (i) prohibitive cost (ca USD 1M; that our sponsor informed us that he declined to meet), and also because (ii) racial diversity may be a complicating factor. Enquiries to other countries (e.g., Ireland, Denmark, etc.) revealed that either no databases are in place or that, as foreign nationals, access is very difficult to achieve. We have therefore agreed with the sponsor to carry out the analysis in four countries: Scotland, Wales, England, and Germany (see below). Our colleagues in Oxford and Manchester (Prof. Itzhaki and coworkers) are studying the population of England, and the team at the University of Edinburgh (Prof. Haas and coworkers) are studying Scotland, Wales, and Germany. The present contract concerns the German arm of the project. We have investigated different routes to access public healthcare data in Germany. A few years ago, the statutory health insurance (SHI) companies in Germany determined to make their data available for research purposes. However, a common restriction of retrospective analyses with German claims data is that detailed clinical data (e.g., severity grades of a disease, documentation of prescribed doses, i.e., 'days of supply') are mostly unavailable (Neubeuer et al. 2017, Eur. J. Health Economics 18: 533-536), and the lack of these key details means that these data cannot be used for our research. In addition, although the German Institute of Medical Documentation and Information (DIMDI) implemented a nationwide data pool in 2014, (i) the timing is far too recent to be of utility to our project where we are looking for a minimum of 10 years follow-up, and preferably 20 years, (ii) it is very unclear whether under the German Social Security Code (SSSS303a to 303e SGB V), foreign institutions are eligible to consult these data; and - even if access can be arranged - (iii) the data are only available after a delay of ~4 years, and the processing time of project proposals is long and unpredictable (Neubeuer et al. ibid.). Our sponsor asked us to identify a faster and more effective route. Consultation with our sponsor and colleagues (including colleagues from Germany), as well as internet searching, identified a single commercial supplier of healthcare data in Germany: IQVIA GmbH. IQVIA has entered into partnership with healthcare authorities in Germany (the details are commercially sensitive) to gain access to more detailed records, but informs us that they have assembled a large database of patient information that includes documentation of prescribed doses, and therefore is suitable for our project. In the absence of any alternative supplier for Germany, we believe that contracting with IQVIA is the only feasible route to include Germany in our research programme. (SC Ref:587645)",
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