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OP102 Concordance between hospital discharge data, electronic health records and register books for diagnosis of miscarriage in a tertiary maternity hospital: a retrospective linked data study

BackgroundMiscarriage is one of the most common complications in early pregnancy loss; however, its prevalence varies depending on the type of miscarriage investigated, and the type of measurement used for collecting data. Research assessing the validity of the outcome of a diagnosis of miscarriage...

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Published in:Journal of epidemiology and community health (1979) 2019-09, Vol.73 (Suppl 1), p.A50
Main Authors: Campillo, ISCLSan Lazaro, Meaney, SM, Harrington, MH, Verling, AMV, Corcoran, PC, O’Donogue, KOD
Format: Article
Language:English
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Summary:BackgroundMiscarriage is one of the most common complications in early pregnancy loss; however, its prevalence varies depending on the type of miscarriage investigated, and the type of measurement used for collecting data. Research assessing the validity of the outcome of a diagnosis of miscarriage at hospital settings is sparse in Ireland. Therefore, the aim of this study was to determine agreement between hospital discharges for the diagnosis of miscarriage between three data sources from January to June 2017 in Ireland.MethodsThis retrospective chart review study compared agreement of diagnosis of miscarriage among inpatient admissions between the electronic health records (EHR), the Hospital Inpatient-Enquiry (HIPE), and register books at Cork University Maternity Hospital (CUMH). Also, we compared classification of type of miscarriage at the time of admissions including: incomplete, complete, late and missed miscarriage. Other types of early pregnancy loss (i.e. ectopic and molar pregnancy) were reviewed. After excluding duplicates or missing data, 294 diagnoses of miscarriage were identified in 357 EHR records, 295 in 366 EHR records, and 224 in 260 register books records. Kappa (k), sensitivity, specificity, positive and negative predictive value (PPV & NPV) were calculated to assess level of agreement between the three data sources.ResultsUsing EHR as a gold standard, HIPE had a sensitivity of 98.3%, specificity of 87.5%, PPV of 96.2%, NPV of 93.9%, with a very good strength of agreement (k=0.88; p-value
ISSN:0143-005X
1470-2738
DOI:10.1136/jech-2019-SSMabstracts.105