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RCGP Weekly Returns Service d ata extraction

RCGP Weekly Returns Service d ata extraction. D. M. Fleming Director, Research and Surveillance Centre Nottingham meeting Sept 22 2011. RCGP: WRS 1967-2007. Epidemiological information system from primary care describing incidence in real time and incidence accumulated over annual periods

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RCGP Weekly Returns Service d ata extraction

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  1. RCGP Weekly Returns Servicedata extraction D. M. Fleming Director, Research and Surveillance Centre Nottingham meeting Sept 22 2011

  2. RCGP: WRS 1967-2007 • Epidemiological information system from primary care describing incidence in real time and incidence accumulated over annual periods • Established in 1967 initially based on clerical recording system using age-sex registers and diagnostic indexes • Expanded into an electronic recording system between the period of MSGP4 in 1990/91 and1997. • Recording captured all read coded morbidity entries with the attached episode type • Until 2007 all data were processed on the basis of weekly tabular summaries from each practice collected using automated programs

  3. RCGP: WRS Since 2007 • Tabular summary extraction continues unchanged • New extraction routine introduced whereby patient specific longitudinal data are collected • A slightly enhanced data set is collected ( includes vaccines selected prescriptions and lab results etc) with all patient links preserved. • As new information is entered on the gp record a new extract is taken from the patient EMR covering the relevant entries since 1 Jan 2003. Each extract contains patient specific information but the patient cannot be identified. Each new extract replaces the one held on the existing database. • Routine analyses now include selective linked data • Database available for longitudinal investigation

  4. Problems for Discussion • Ethical considerations • Linkage to other data sources not possible ( eg by use of NHS number) • Volume of data transfer (an additive routine first visualised was not workable) • Software differences • Practices changing software supplier • Complexity of analytical routines

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