Assessing the concordance and accuracy between hospital discharge data, electronic health records, and register books for diagnosis of inpatient admissions of miscarriage: A retrospective linked data study

  • Indra San Lazaro Campillo
  • , Sarah Meaney
  • , Maria Harrington
  • , Karen McNamara
  • , Anna Maria Verling
  • , Paul Corcoran
  • , Keelin O'Donoghue

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Despite the high prevalence of miscarriage, there are few studies which assess the concordance of a diagnosis of miscarriage in routinely collected health databases. Objectives: To determine agreement and accuracy for the diagnosis of miscarriage between electronic health records (EHR), the Hospital Inpatient-Enquiry (HIPE) system, and hospital register books in Ireland. Methods: This is a retrospective study comparing agreement of diagnosis of miscarriage between three hospital data sources from January to June 2017. All inpatient admissions for miscarriage were reviewed from a single, tertiary maternity hospital in Ireland. Kappa, sensitivity, specificity, positive and negative predictive value were calculated. Results: In this retrospective concordance study, EHR records confirmed 96.2% diagnosis of miscarriage of HIPE records, and 95.1% of register books records. A total of 95 records were not recorded in the register books but were recorded in HIPE and EHR. This study found a considerable variability when comparing definitions of type of miscarriage (i.e., missed miscarriage, incomplete, and complete) between the three data sources. Conclusion: Although this study found a high concordance in inpatient admissions for miscarriage between EHR, HIPE, and register books, a considerable discrepancy was found when classifying miscarriage between the three data sources.

Original languageEnglish
Pages (from-to)1987-1996
Number of pages10
JournalJournal of Obstetrics and Gynaecology Research
Volume47
Issue number6
DOIs
Publication statusPublished - Jun 2021

Keywords

  • data accuracy
  • electronic health records
  • epidemiology and statistics
  • inpatients
  • pregnancy loss

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