Publication, Part of Maternity Services Monthly Statistics

Maternity Services Monthly Statistics, January 2022, experimental statistics

Official statistics, Experimental statistics

Publication Date:: 28 Apr 2022
Geographic Coverage:: England
Geographical Granularity:: Country, Regions, Hospital Trusts, Provider, NHS Trusts, Integrated Care Boards, Sub-Integrated Care Boards, Local Authorities, Hospital and Community Health Services, Hospital Sites
Date Range:: 01 Jan 2022 to 31 Jan 2022

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Antenatal booking appointments

Clinical Negligence Scheme for Trusts (CNST) Safety Action 2: new data files

To help Trusts understand to what extent they meet the Clinical Negligence Scheme for Trusts (CNST) Data Quality Criteria for Safety Action 2, we have begun publishing two new data files each month which contain information for data providers showing their performance against all MSDS-derived Safety Action 2 criteria.

The files containing January 2022 data were added to this publication on 10 June 2022.

Updated versions of these files were added to this publication on 22 June 2022 to include a correction to the Ethnicity DQ outputs, as 32 providers had previously been incorrectly showing in the files as having met this criteria when they had not.

10 June 2022 09:30 AM

Summary

Maternity Services Monthly Statistics January 2022, experimental statistics

This is a report on NHS-funded maternity services in England for January 2022, using data submitted to the Maternity Services Data Set (MSDS).

This is the latest report from the new version of the data set, MSDSv2. The new data set is a significant change which adds support for key policy initiatives such as personalised care plans and continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This is a major change, so data quality and coverage has reduced from the levels seen in previous publications.

The data derived from SNOMED codes is still being developed. We have included data on smoking at booking and birth weight and others such as BMI and alcohol consumption will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs) where rules have been applied to ensure rates are calculated only where data quality is high enough. System suppliers are at different stages of developing their new solution and delivering that to trusts. In some cases this has limited the aspects of data that could be submitted to NHS Digital.

These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website.

Key Facts

120 successful submissions

For January 2022 data, 120 providers successfully submitted data with 120 submitting data on births.

This is all expected from NHS trusts

56,910 bookings in January 2022

56,910 women with an antenatal booking appointment were reported in the period, of which 53% were within the first 10 weeks of pregnancy.

Of the trusts that submitted booking data, there were 30,210 bookings in which the babies' gestational age was in the 0-70 days range.

43,540 births reported

We received data relating to 42,975 deliveries of 43,540 babies. External data sources suggest there are around 53,000 births each month.

NHS Maternity Statistics, England 2018-2019 (NHS Digital)

Births in England and Wales: 2019 (Office for National Statistics)

52% of deliveries were spontaneous

52% of deliveries were spontaneous vaginal births, 11% had instrumental assistance, 15% were elective caesarean sections and 19% were emergency caesarean sections.

Administrative Sources

Maternity Services Data Set (MSDS): this is a patient-level data set that captures information about activity carried out by Maternity Services relating to a mother and baby(s), from the point of the first booking appointment until mother and baby(s) are discharged from maternity services. This is a secondary uses data set, which re-uses clinical and operational data for purposes other than direct patient care.