Rcgp weekly returns service d ata extraction
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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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Rcgp weekly returns service d ata extraction

RCGP Weekly Returns Servicedata extraction

D. M. Fleming

Director, Research and Surveillance Centre

Nottingham meeting Sept 22 2011


Rcgp wrs 1967 2007

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


Rcgp wrs since 2007

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


Problems for discussion

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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