Evaluating maternity care using national administrative health datasets: How are statistics affected by the quality of data on method of delivery?

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Abstract

Background: Information on maternity services is increasingly derived from national administrative health data. We evaluated how statistics on maternity care in England were affected by the completeness and consistency of data on "method of delivery" in a national dataset. Methods. Singleton deliveries occurring between April 2009 and March 2010 in English NHS trusts were extracted from the Hospital Episode Statistics (HES) database. In HES, method of delivery can be entered twice: 1) as a procedure code in core fields, and 2) in supplementary maternity fields. We examined overall consistency of these data sources at a national level and among individual trusts. The impact of different analysis rules for handling inconsistent data was then examined using three maternity statistics: emergency caesarean section (CS) rate; third/fourth degree tear rate amongst instrumental deliveries, and elective CS rate for breech presentation. Results: We identified 629,049 singleton deliveries. Method of delivery was not entered as a procedure or in the supplementary fields in 0.8% and 12.5% of records, respectively. In 545,594 records containing both data items, method of delivery was coded consistently in 96.3% (kappa = 0.93; p < 0.001). Eleven of 136 NHS trusts had comparatively poor consistency (<92%) suggesting systematic data entry errors. The different analysis rules had a small effect on the statistics at a national level but the effect could be substantial for individual NHS trusts. The elective CS rate for breech was most sensitive to the chosen analysis rule. Conclusions: Organisational maternity statistics are sensitive to inconsistencies in data on method of delivery, and publications of quality indicators should describe how such data were handled. Overall, method of delivery is coded consistently in English administrative health data. © 2013 Knight et al.; licensee BioMed Central Ltd.

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APA

Knight, H. E., Gurol-Urganci, I., Mahmood, T. A., Templeton, A., Richmond, D., Van Der Meulen, J. H., & Cromwell, D. A. (2013). Evaluating maternity care using national administrative health datasets: How are statistics affected by the quality of data on method of delivery? BMC Health Services Research, 13(1). https://doi.org/10.1186/1472-6963-13-200

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