CPRD GOLD and linked ONS mortality records: Reconciling guidelines.

Background: The Clinical Practice Research Datalink (CPRD) GOLD is an extremely influential U.K. primary care dataset for epidemiological research having a number of published papers based on its data much bigger than any other U.K. primary care dataset. The Office for National Statistics (ONS) deat...

Full description

Bibliographic Details
Published in:International Journal of Medical Informatics Vol. 136
Main Authors: Delmestri, Antonella, Prieto-Alhambra, Daniel
Format: research Journal Article
Published: Elsevier B.V. Apr2020
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142111474&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 142111474
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        13865056
        JR4
      jtl: International Journal of Medical Informatics
      issn: 13865056
      maglogo: N
    pubinfo:
      dt: Apr2020
      vid: 136
      pid: 467
      pub: Elsevier B.V.
      place: New York, New York
    artinfo:
      ui:
        142111474
        142111474
        NLM32078979
        142111474
        10.1016/j.ijmedinf.2019.104038
        NLM32078979
        142111474
      ppct: 1
      formats:
      tig:
        atl: CPRD GOLD and linked ONS mortality records: Reconciling guidelines.
      aug:
        au:
          Delmestri, Antonella
          Prieto-Alhambra, Daniel
        affil: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK
      sug:
        subj:
          Medical Record Linkage Methods
          Primary Health Care Statistics and Numerical Data
          Mortality Trends
          Algorithms
          Data Collection Standards
          Practice Guidelines Standards
          Reproducibility of Results
          Human
          Resource Databases
          England
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Funding Source
      ab: Background: The Clinical Practice Research Datalink (CPRD) GOLD is an extremely influential U.K. primary care dataset for epidemiological research having a number of published papers based on its data much bigger than any other U.K. primary care dataset. The Office for National Statistics (ONS) death data for England can be linked to GOLD at the patient level and are considered the gold standard on mortality. GOLD, which also holds death data, has been recently assessed against ONS linked dataset and the accuracy of its dates of death has been deemed sufficient for the majority of observational studies. However, there is a lack of guidance on how to manage the challenges existing when ONS mortality and GOLD datasets are linked, including linkage coverage period, linkage correctness likelihood, linkage regional limitations and data discrepancy.Objectives: Provide reconciling guidelines on how to make maximum and at the same time trustworthy use of mortality information coming from both GOLD and ONS linked datasets with the aim of improving the quality, reproducibility, transparency and comparison of clinical research.Method and Results: We have developed recommendations on how to manage mortality data coming from both GOLD and linked ONS, taking into account linkage coverage period, linkage correctness likelihood, linkage regional limitations and data discrepancies between these two datasets. We have also implemented these guidelines in an SQL algorithm for researchers to use.Conclusion: We have provided detailed guidelines on the reconciliation of mortality data between GOLD and ONS linked death datasets, taking into account both their strengths and limitations. The consistent application of these guidelines made practical by an SQL algorithm, has the potential to improve clinical research quality, reproducibility, transparency and comparison.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N