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Validation of the Hospital Episode Statistics Outpatient Dataset in England

Author

Listed:
  • Joanna C. Thorn

    (University of Bristol)

  • Emma Turner

    (University of Bristol)

  • Luke Hounsome

    (Public Health England Knowledge and Intelligence Team (South West))

  • Eleanor Walsh

    (University of Bristol)

  • Jenny L. Donovan

    (University of Bristol)

  • Julia Verne

    (Public Health England Knowledge and Intelligence Team (South West))

  • David E. Neal

    (University of Cambridge)

  • Freddie C. Hamdy

    (University of Oxford)

  • Richard M. Martin

    (University of Bristol)

  • Sian M. Noble

    (University of Bristol)

Abstract

Objectives The Hospital Episode Statistics (HES) dataset is a source of administrative ‘big data’ with potential for costing purposes in economic evaluations alongside clinical trials. This study assesses the validity of coverage in the HES outpatient dataset. Methods Men who died of, or with, prostate cancer were selected from a prostate-cancer screening trial (CAP, Cluster randomised triAl of PSA testing for Prostate cancer). Details of visits that took place after 1/4/2003 to hospital outpatient departments for conditions related to prostate cancer were extracted from medical records (MR); these appointments were sought in the HES outpatient dataset based on date. The matching procedure was repeated for periods before and after 1/4/2008, when the HES outpatient dataset was accredited as a national statistic. Results 4922 outpatient appointments were extracted from MR for 370 men. 4088 appointments recorded in MR were identified in the HES outpatient dataset (83.1 %; 95 % confidence interval [CI] 82.0–84.1). For appointments occurring prior to 1/4/2008, 2195/2755 (79.7 %; 95 % CI 78.2–81.2) matches were observed, while 1893/2167 (87.4 %; 95 % CI 86.0–88.9) appointments occurring after 1/4/2008 were identified (p for difference

Suggested Citation

  • Joanna C. Thorn & Emma Turner & Luke Hounsome & Eleanor Walsh & Jenny L. Donovan & Julia Verne & David E. Neal & Freddie C. Hamdy & Richard M. Martin & Sian M. Noble, 2016. "Validation of the Hospital Episode Statistics Outpatient Dataset in England," PharmacoEconomics, Springer, vol. 34(2), pages 161-168, February.
    • Handle: RePEc:spr:pharme:v:34:y:2016:i:2:d:10.1007_s40273-015-0326-3
    DOI: 10.1007/s40273-015-0326-3
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    References listed on IDEAS

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    1. James Gaughan & Anne Mason & Andrew Street & Padraic Ward, 2012. "English Hospitals Can Improve Their Use of Resources: An Analysis of Costs and Length of Stay for Ten Treatments," Working Papers 078cherp, Centre for Health Economics, University of York.
    2. Joanna Thorn & Joanna Coast & David Cohen & William Hollingworth & Martin Knapp & Sian Noble & Colin Ridyard & Sarah Wordsworth & Dyfrig Hughes, 2013. "Resource-Use Measurement Based on Patient Recall: Issues and Challenges for Economic Evaluation," Applied Health Economics and Health Policy, Springer, vol. 11(3), pages 155-161, June.
    3. Elsa Marques & Sian Noble & Ashley W. Blom & William Hollingworth, 2014. "Disclosing Total Waiting Times For Joint Replacement: Evidence From The English Nhs Using Linked Hes Data," Health Economics, John Wiley & Sons, Ltd., vol. 23(7), pages 806-820, July.
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