Validation of the Hospital Episode Statistics Outpatient Dataset in England

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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 <0.001). 215/370 men (58.1 %) had at least one appointment in the MR review that was unmatched in HES, 155 men (41.9 %) had all their appointments identified, and 20 men (5.4 %) had no appointments identified in HES. Conclusions: The HES outpatient dataset appears reasonably valid for research, particularly following accreditation. The dataset may be a suitable alternative to collecting MR data from hospital notes within a trial, although caution should be exercised with data collected prior to accreditation.

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Thorn, J. C., Turner, E., Hounsome, L., Walsh, E., Donovan, J. L., Verne, J., … Noble, S. M. (2016). Validation of the Hospital Episode Statistics Outpatient Dataset in England. PharmacoEconomics, 34(2), 161–168. https://doi.org/10.1007/s40273-015-0326-3

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