These tables contain the underlying data presented in this report. It is a joint document between HES and MSDS providing a collective and coherent message between the two datasets.
Maternity Statistics Tables (HES)
This publication includes detailed tables at national level (HES Data):
- Time series
- Method of onset of labour
- Method of delivery
- Age of mother
- Delivery complications
- Birth complications
Each of these tables is further broken down by additional dimensions such as gestation length, duration of hospital stay and birth status.
Provider level analysis (HES)
In addition to national aggregations of activity a provider-level analysis is supplied; this allows users to select hospital providers and compare activity with peer organisations, regions or the England total. One of the purposes of the provider-level analysis is to contribute to the improvement of both the quality and coverage of the data submitted to HES.
CSV data (MSDS)
A CSV file containing the aggregate underlying data for all submitters and by provider.
The table descriptions that accompany this publication are given in the documents entitled ‘NHS Maternity Activity, 2020-21 – HES Metadata’ and ‘NHS Maternity Activity, 2020-21 – MSDS Metadata’; this includes descriptions of the tables included in the report, as well as providing useful links to other relevant webpages and documents.
Data Quality Review and Exploratory Analysis of Neonatal Critical Care Minimum Data Set (NCCMDS), Maternity Services Data Set (MSDS)
Published alongside the report this supplementary analysis has been produced by NHS Digital and contains Management Information produced using the NCCMDS and MSDS data collected by NHS Digital against activity published in NHS Reference Costs. This analysis seeks to assist users of the data in understanding the data quality of reported neonatal critical care data in both the NCCMDS and MSDS highlighting issues around coverage coherence and completeness of this data looking at the provider and all submitters geographies in order to assist how such data maybe used to support future user needs.