COVID Maternity Equalities Project
Royal College of Obstetricians and Gynaecologists (RCOG) · Agency/Public Body
Expired The latest version ended on 21 April 2026. The September 2026 register still lists the agreement, but its term has passed.
- Reference
- DARS-NIC-461283-Q3R7K
- Latest version
- v2.2
- Term of latest version
- 24 January 2025 to 21 April 2026
- Start date
- 12 August 2021
- Data controller
- Sole Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 21
Why the data was released
Objective for processing
Purpose and Background of the Project:
Prior to the COVID-19 pandemic, there were already deep inequalities in maternity care and outcomes in England. Black women were already five times more likely to die during pregnancy, birth and the postpartum period, and Asian women three times more likely, than white women. During the pandemic there have been substantial shifts in the way that maternity care is delivered in Britain. However, the effects of these changes on maternity outcomes have not been measured, and it is also unclear whether these changes have widened or narrowed existing inequality gaps. There is an opportunity to learn lessons about how services may mitigate existing inequalities through service innovation.
The purpose of this project is to identify the impact of COVID-19 and associated modifications to maternity care (such as the use of remote consultations, changes to process of diagnosis of gestational diabetes, and reduction in appointments) on inequalities in maternity care (in stillbirth, preterm birth, mode of birth such as caesarean section, and postpartum complications), and learn lessons to inform recommendations regarding ongoing modifications and changes to maternity care in the future.
Rationale for the project:
This is a new project first funded by the Health Foundation in 2021 which proposes to use data from NHS England and subsequent qualitative analysis to understand the impact of the COVID-19 pandemic on inequalities in maternity care.
During the COVID-19 pandemic maternity units have had to modify care provision rapidly and have faced staffing challenges. There are concerns that the service modifications have introduced new forms of inequalities, such as digital (where access to care via digital means disadvantages to those without devices or internet access). Initial results from the pandemic are heterogeneous: a possible increase in the rate of stillbirth in a single London unit (Khalil et al. JAMA 2020) not mirrored in national figures for the ‘first wave’ of the COVID-19 pandemic in the UK (ONS 2021); an observed reduction in extreme prematurity in Denmark (Hedermann et al. Archives of Disease in Childhood Fetal and Neonatal 2020). Women of ethnic minority groups have been disproportionally affected by COVID-19 infection (Knight M et al, BMJ 2020), but it is unclear whether ethnicity directly, or marginalisation and disadvantage or inequality in accessing care has contributed to this disparity.
This project speaks explicitly to recommendation 7 of Public Health England (PHE) report "Beyond the data: Understanding the impact of COVID-19 on BAME groups" (PHE 2020) in that it seeks to ‘Ensure that COVID-19 recovery strategies actively reduce inequalities caused by the wider determinants of health to create long term sustainable change.’
Restoration of services is currently heterogeneous and there is an urgent need for information to guide prioritisation of services both in this restoration phase and in any future peak. This is to ensure that modifications to services are justified, do not worsen maternal or fetal outcomes, and look to narrow existing inequalities.
The study team are aware of the sensitivity of investigating maternity outcomes by ethnic group. The study team do not intend to produce results published by trust name and do not intend to negatively identify maternity units or produce any sort of ranking. The study team have been careful to include a wide range of stakeholders and experts in the Steering Group, together with a Women's Reference Group which represents the diverse population accessing maternity care. The investigator group includes two lay coinvestigators from RCOG's Women's Network and the Caribbean and African Health Network who are able to directly represent women from diverse backgrounds. Statisticians from Bristol University are advisory to the data processing methodology. Neither the lay coinvestigators nor individuals from Bristol University will be determining the purposes or the means of data processing. Outputs, using aggregated data with small numbers suppressed, will be co-produced as a team in order to respect the sensitivity of this topic.
Project plan:
This project aims to answer three questions using routinely collected maternity data:
i) How have the COVID-19 driven modifications to maternity services impacted on maternity outcomes overall, and on the inequality gap in these outcomes?
ii) To what extent has ethnicity contributed to the inequality gap in maternity outcomes before and during the pandemic?
iii) Which units have narrower inequality gaps in maternity outcomes during the pandemic?
How data provided by NHS England will be used in the study:
This study will use Hospital Episode Statistics (HES) Admitted Patient Care (APC) data on mother and child provided by NHS England to describe national trends and unit-level differences in key maternity outcomes by ethnic and socioeconomic group. The team will then seek to identify maternity units where there is evidence of good practice (a narrowing in inequalities in maternity outcomes) during the pandemic and approach these units to obtain consent to investigate these further through service-level interviews (i.e. interviews with clinicians and women's representatives in order to identify service changes in these units during the pandemic). There has been no engagement with these units prior to this request, as data is required to identify participant units, but preliminary approaches to three units to assess feasibility suggested that being approached as a 'positive deviant' (i.e. a unit where changes in practice during the COVID-19 pandemic narrowed existing gaps in outcomes between women from different ethnic groups, or if these do not exist, a unit where the impact on existing inequalities was as small as possible) would be viewed favourably.
Through use of the HES data from NHS England and the subsequent service-level interviews, the project will provide recommendations regarding which service modifications (for example, types of telephone clinics; use of remote blood pressure monitoring) will provide a positive impact on equality in maternity care. These can then inform rapidly implemented change, improve the quality and safety of maternity care and ensure that all women, irrespective of their background or place of residence, have access to safe maternity care. Data from NHS England on maternity care and outcomes is not currently published by hospital by ethnic and socioeconomic group and thus pseudonymised data is required in order to generate these totals and enable further investigation. Requesting HES data minimises the data burden on NHS staff by ensuring we use routinely collected data.
PREVIOUS DATA REQUEST
Data was restricted to a cohort for births from 1st January 2018 to 31st March 2021 that is derived from hospital admissions records that contain valid information about either mode of birth or outcome of delivery. The study team estimate that this will be approximately 1.8 million women and their babies (approximately 1.8 million births). All historic admissions episodes from 2000-2017 should be provided for all individuals with a record in this cohort. By looking at women’s previous admissions in HES, it is possible to derive their previous medical and maternity history, as well as use ethnicity as recorded in a previous admission if it is missing from the birth record; these processes have been used by other researchers. Since this is a national project, data from all English NHS trusts is required.
Organisations involved:
The organisations involved in data processing for the study are the Royal College of Obstetricians and Gynaecologists (RCOG), supported by researchers from Queen Mary University of London (QMUL). The project was commissioned by the Health Foundation and The Healthcare Improvement Studies (THIS) Institute to understand the impact of COVID-19 on maternity outcomes and health inequalities. The RCOG is leading and hosting the project and is the sole data controller.
RCOG’s secure server is hosted by Microsoft Azure. Microsoft Limited will store the Data as contracted by RCOG.
The data will be kept and used by both employees of the RCOG and of Queen Mary (any individuals involved in the data processing who are not substantively employed by the RCOG or by QMUL have an RCOG honorary contract). QMUL is the primary employer of the principal investigator. This project has been co-developed with two lay co-investigators in order to ensure it encompasses the concerns of women and particularly women from ethnic minority groups.
RCOG’s legal bases for processing the requested data are GDPR Article 6(1)(f) - legitimate interests, and Article 9(2)(h)- health care. This project has completed a legitimate interests assessment, and the balancing test shows that the individual’s interests do not override the legitimate interests of RCOG in undertaking the project. Article 9(2)(h) applies because the processing will support the management of health care systems to provide equitable outcomes to women and babies from all ethnic backgrounds. This project supports the need for the healthcare system to reflect upon the impact of service changes made during the pandemic and assess the equity of their impact.
References:
Khalil A, von Dadelszen P, Draycott T et al. Change in the Incidence of Stillbirth and Preterm Delivery During the COVID-19 Pandemic. JAMA 2020;324(7):705-706. doi:10.1001/jama.2020.12746
ONS. Provisional births in England and Wales: 2020. 2021. Available from https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/articles/provisionalbirthsinenglandandwales/2020andquarter1jantomar2021
Hedermann G, Hedley P, Baekvad-Hansen M et al. Danish premature births during the COVID-19 lockdown. Archives of Disease in Childhood - Fetal and Neonatal Edition 2021;106:93-95.
Knight M, Bunch K, Vousden N et al. Characteristics and outcomes of pregnant women admitted to hospital with confirmed SARS-CoV-2 infection in UK: national population based cohort study. BMJ 2020; 369 doi: https://doi.org/10.1136/bmj.m2107
Public Health England. Beyond the Data: Understanding the impact of COVID-19 on BAME communities. 2020. Available from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/892376/COVID_stakeholder_engagement_synthesis_beyond_the_data.pdf
Processing activities
Previous Data request:
NHS England identified a cohort of approximately 1.8 million women and babies from delivery and birth records between 1st January 2018 to 31st March 2021.
NHS England returned pseudonymised record level data to the Royal College of Obstetricians and Gynaecologists (RCOG) via secure file transfer. The Hospital Episode Statistics (HES) Admitted Patient Care (APC) extract will contain delivery and birth episodes for the identified cohort, containing valid information about either mode of birth or outcome of delivery. RCOG will provide the data specification in terms of appropriate episode type, OPCS-4 procedure and ICD10 diagnosis codes to identify delivery and birth episodes for data extraction. All historical and future (i.e. following delivery) HES APC records for mothers and babies identified in the previous step were also included within the files.
RCOG will use the data from 2018-2019 as a historical comparison cohort to establish baseline rates of measures both overall and by hospital trust, and then interrogate data for 2020-2021 to understand changes during the COVID period.
Historical hospital admissions episodes (2000-2017) will enable the derivation of previous birth history and previous significant medical history relating to the hospital admission episode, and allow RCOG to augment ethnic coding using historical codes. Once the variables required (parity, previous caesarean, previous preterm birth, previous stillbirth, previous ethnicity, previous diagnoses, previous procedures) have been derived, these historical records will be destroyed and the main cohort will be kept: i.e. all admissions which are not the index admission will be deleted. A data destruction certificate will be made available to NHS England on request.
Episodes of care after the delivery episode will allow the identification of re-admissions of mothers and babies after birth.
Only data items which are necessary for the project are requested, with one or more of the following purposes:
- to determine which provider or maternity unit administered the care;
- to determine the quality of care for the service user;
- to determine the nature of the episode and diagnosis;
- to determine the case-mix of service users with a particular provider or maternity unit;
- to determine the health outcomes for the service user.
Pseudonymised patient level data from NHS England will be held within RCOG's secure data environment. This pseudonymised data will be processed within RCOG’s secure data environment by both substantive employees of and honorary contract holders with the RCOG, and substantive employees of Queen Mary University of London (QMUL) who have been appropriately trained in data protection and confidentiality. All honorary contract holders have a primary employment contract at either a University or with the NHS which also holds them to account regarding data processing. The secure research environment is accessed by two factor authentication.
The data will only be used to calculate by ethnic and socioeconomic group the rates and trends of key maternity safety measures prior to and during the COVID-19 pandemic. The selection of measures used to evaluate the quality of maternity care in this project will be guided by a Steering Group (a panel of clinical and academic experts, including obstetricians, midwives, statisticians and health service researchers, listed here https://www.rcog.org.uk/en/guidelines-research-services/audit-quality-improvement/cmep/) as well as a Women's Reference Group with researchers representing women’s groups who are coinvestigators to the project (see details in 'Objectives for Processing'). The measures used will be informed by expertise available from existing published research in this area using HES and from the National Maternity and Perinatal Audit, also based at the RCOG. These are anticipated to include:
- Induction of labour
- Mode of birth
- Severe Maternal morbidity
- Obstetric anal sphincter injury
- Preterm birth
- Stillbirth
- Babies born small for gestational age (SGA <10th centile of birthweight; fetal growth restriction <3rd centile of birthweight)
- Maternal readmission following birth
The Data will be stored and backed up on the RCOG’s Azure tenant, provisioned by Microsoft Ltd.
As part of the overall project, RCOG will derive a further database from Maternity Information System (MIS) data to capture information on the mother’s care from the first antenatal appointment until the postnatal discharge. The MIS will be linked to an extract from BadgerNet neonatal detailing the characteristics of babies admitted to neonatal units, their care and outcomes. The MIS derived database will not be linked to patient-level data records provided by NHS England. No other data will be linked to patient level NHS England data. Maternity Information System (MIS) data contains information about each woman’s pregnancy, booking and birth, and early postnatal care, including information about the baby. BadgerNet neonatal is a nationally used computer system which contains information about neonatal care for the 10% of babies admitted to neonatal units.
There will be no requirement or attempt to reidentify the individuals involved in the data collection.
Expected output
The Hospital Episode Statistics (HES) data provided by NHS England will enable the following outputs:
(1) Peer-reviewed publications (to be submitted to journals including the British Medical Journal, BJOG: An International Journal of Obstetrics and Gynaecology, PLoS Medicine, PLoS One) supplemented with online resources detailing
(a) national and regional changes to maternity outcomes by ethnic and socioeconomic group during the pandemic: target date late 2021/ early 2022 (aimed at academic and policy audience).
(b) associations between service changes and maternity outcomes by ethnic group: target date March 2022 (aimed at an academic and policy audience).
(2) A list of units to be approached for further qualitative analysis. Units which constitute ‘positive deviants’ (i.e. any units where changes in practice during the COVID-19 pandemic narrowed existing gaps in outcomes between women from different ethnic groups, or if these do not exist, units where the impact on existing inequalities was as small as possible) in their approach to ethnic and socioeconomic inequality during the pandemic will be chosen in consultation with a lay group. Ten such units are anticipated to be identified on the basis of maternity care and outcomes (eg differences in stillbirth, preterm birth, and caesarean section rates).
(3) A final report on service changes associated with adverse outcomes and ethnic inequality to inform policy and guideline changes. This will have a supplementary lay and policy briefing to enable change (aimed at the public and at policymakers).
All outputs will be coproduced with patients and the public (including academic outputs). The report and supplementary lay briefing will be freely available. We will make every effort within funding constraints to enable published papers to be open access.
All published outputs will be aggregated with small number suppression in line with the HES analysis guide.
Note on patient and public involvement (PPI): This project is supported by a Women's Reference Group. This group, which will have 5-6 meetings throughout the year, is made up of 25 women chosen from over 200 who applied, who together represent a diverse range of experience (diversity of ethnicity, socioeconomic group, birth experience, parity, geography) supported by the PPI team at the RCOG and a qualitative researcher. This group will provide direct input into the selection criteria for units identified for qualitative investigation and a framework of lived experience of the pandemic, as well as ensuring that what is important to women is highlighted in the recommendations made. The team also has two lay co-investigators who each lead representative networks of women, who have provided direct input into the conduct of the study, the desired outputs, and the design of the qualitative aspects of the study in which they have expertise.
A wide network of stakeholders has formally committed to the project including the Royal College of Midwives (RCM), NHS England, the Care Quality Commission (CQC), the Governments of the devolved nations of the UK, charities and National Maternity Voices. This network will facilitate bi-directional dissemination, mobilising outputs down to practitioners and end users and up to policy makers. Dissemination of the key findings via social media will enable us to reach women directly, drawing specifically on the RCOG’s Women’s Network and Voices panels.
UPDATE: At present, two scientific manuscripts related to the project are under review, and another manuscript will be submitted in the next few months. As we will need time to respond to queries from reviewers, we would like to retain the data received until 11/08/2025.
OUTPUTS 2024
Maternal and baby birth records were identified using a combination of ICD-10 and OPCS codes or HES fields. Records of women who gave birth and babies born in England between 1st January 2018 and 31st March 2021 were included in the study.
RCOG used maternal and neonatal composite indicators to rank NHS Trusts. Outcomes were chosen following a literature review of studies using routinely available hospital data. The final list of outcomes was reviewed and approved by the Women’s Reference Group. RCOG restricted the analysis to singleton births. RCOG calculated the incidence rate of the maternal and neonatal composite indicators, and individual adverse outcomes in the pre-pandemic and pandemic period at a national level. Results are being written up for submission to a peer reviewed journal.
RCOG used difference-in-differences (DiD) analysis to calculate the ‘inequality gap’ in each Trust. RCOG ranked Trusts by their DiD. Trusts that had a smaller ‘inequality gap’ difference from prepandemic to the pandemic and 95% CIs were statistically significant for both neonatal and maternal composite indicators or either one of them, were identified as positive deviants. RCOG also identified Trusts as comparators for interview. These had reduced inequalities but not significantly.
RCOG interviewed 20 staff from 6 out of the 9 positive deviant trusts identified in the analysis mentioned above, and 4 comparators. We analysed the data using reflective thematic analysis, before taking a top-down approach to the resulting codes to identify key facilitators to best practice. The interviews and analysis have been completed and are being written up for submission to a peer reviewed journal.
The initial analysis on the impact of the Covid-19 pandemic on ethnic inequalities in adverse maternity outcomes was presented at the British Maternal & Fetal Medicine Society (BMFMS) in 2022.
The academic outputs will inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory. The RCOG hosts a dedicated webpage to the project which updates O&G clinicians and members of the public about the project. The link to this page can be found here. This page also includes a brief video from one of the members of the Women’s Reference Group, sharing her experience of giving birth during the pandemic.
The production of an animation is part of the dissemination activities. It generates an engaging short, animated clip (90 seconds) that can be accessed by a lay audience. A dissemination event was organised by the team bringing together Clinical staff, Academic staff, co applicants, steering group members, Race Equality taskforce members, Women’s reference group, Health Foundation and RCOG Staff. This created an opportunity for further engagement and networking. It also raised the awareness of the project findings.
Expected measurable benefits
It is anticipated that the results of this project will be used to inform development of guidance for
(1) reducing inequalities in maternity services
(2) modifications to services in response to any further peak of the COVID-19 pandemic or other national emergency.
Results from this project will be directly fed back to the team who have been responsible for the production of clinical guidance on behalf of the RCOG and the Royal College of Midwives (RCM) throughout the pandemic (known as the 'RCOG/RCM COVID guidance cell' this is a team of up to 20 individuals which includes obstetricians, midwives, public health professionals and representatives of policy, media, and guidance teams). The RCOG/RCM guidance for COVID-19 has been downloaded over a million times, has been widely implemented in clinical care (Jardine et al, BJOG 2020) and has been cited across all forms of media and in peer-reviewed publications.
The expected measurable benefits are hoped to include:
- A set of recommendations regarding which modifications to services (eg remote consultation) should be retained and which should revert to usual care in order to mitigate ethnic and socioeconomic inequalities in maternal and neonatal outcomes (target date Q2 2022). To be implemented by the RCOG/RCM 'COVID guidance cell'.
- A synthesis of 'lessons learned' from units with narrower or no differences in outcomes between women from different ethnic and socioeconomic groups (target date Q2 2022); implementable by the RCOG and NHS organisations.
- A lay and policy summary of ‘lessons learned’ regarding guidance production and implementation, for use in any future emergency (target date Q2 2022) to be implemented by the 'RCOG/RCM COVID guidance cell'. This offers potential significant measurable benefits in any future emergencies.
- The above benefits are expected to contribute to a reduction in adverse outcomes including stillbirth, and a reduction in the inequalities in care experienced by women from ethnic minority groups. In England, over 1 in 10 stillbirths is directly attributable to ethnic inequality (Jardine et al, Lancet 2021 accepted/in press) – i.e. if women from ethnic minority groups had the same rates of stillbirth as white women, more than 1 in 10 stillbirths in England would be prevented (approximately 250 stillbirths based on 2019 figures from ONS). Despite this, there is a relative paucity of clear evaluation of specific interventions for women from ethnic minority groups (Garcia et al, BMC Pregnancy and Childbirth 2015). In a time of unprecedented change to maternity services, such an evaluation is necessary in order to understand the impact of service change by ethnic minority group but also to identify changes which, if made across the whole system, could contribute to the prevention of up to 250 stillbirths per year.
References:
Jardine J, Relph S, Magee LA et al. Maternity services in the UK during the coronavirus disease 2019 pandemic: a national survey of modifications to standard care. BJOG 2020. https://doi.org/10.1111/1471-0528.16547
Jardine J, Walker K, Gurol-Urganci I et al. Adverse pregnancy outcomes attributable to socioeconomic and ethnic inequalities in England: a national cohort study. Lancet 2021 accepted/in press
Garcia, R., Ali, N., Papadopoulos, C. et al. Specific antenatal interventions for Black, Asian and Minority Ethnic (BAME) pregnant women at high risk of poor birth outcomes in the United Kingdom: a scoping review. BMC Pregnancy Childbirth 15, 226 (2015). https://doi.org/10.1186/s12884-015-0657-2
ONS. Stillbirths. Available at https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/stillbirths
Benefits reported so far
The initial analysis on the impact of the Covid-19 pandemic on ethnic inequalities in adverse maternity outcomes was presented at the British Maternal & Fetal Medicine Society (BMFMS) in 2022 and a further publication was accepted by BMJ Open in 2024. Currently one further scientific papers is under review for publication.
The academic outputs will and have inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory.
The RCOG hosts a dedicated webpage to the project which updates O&G clinicians and members of the public about the project. The link to this page can be found here. This page also includes a brief video from one of the members of the Women’s Reference Group, sharing her experience of giving birth during the pandemic.
The production of an animation is part of the dissemination activities. It generates an engaging short animated clip (90 seconds) that can be accessed by a lay audience.
A dissemination event was organised by the team bringing together Clinical staff, Academic staff, co applicants, steering group members, Race Equality taskforce members, Women’s reference group, Health Foundation and RCOG Staff. This created an opportunity for further engagement and networking. It also raised the awareness of the project findings.
Datasets on the latest version
Legal basis for provision: Health and Social Care Act 2012 - s261(5)(d)
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Hospital Episode Statistics Admitted Patient Care (HES APC) | Anonymised - ICO Code Compliant | Non-Sensitive | One-Off | Does not include the flow of confidential data |
Files released
Files released counts only files released externally by DARS. Access granted in NHS England's own systems, such as its Secure Data Environment, is not included.
Patient opt-outs were not applied to any of the 21 files released under this agreement, across every version. About opt-outs
No files recorded as released under the latest version. 21 were released under earlier versions, shown in the version history.
Version history
The register lists each renewal of this agreement as a separate row. This site has 3 versions.
DARS-NIC-461283-Q3R7K-v2.2 24 January 2025 to 21 April 2026
- Title
- COVID Maternity Equalities Project
- Commercial
- No
- Sublicensing
- No
- Datasets
- 1
- Files released
- 0
Datasets: Hospital Episode Statistics Admitted Patient Care (HES APC)
What changed from DARS-NIC-461283-Q3R7K-v1.3
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2025-01-24 | |
| End date | 2026-04-21 |
Benefits reported
The initial analysis on the impact of the Covid-19 pandemic on ethnic
[5 words unchanged]
was presented at the British Maternal & Fetal Medicine Society (BMFMS) in
2022.
2022 and a further publication was accepted by BMJ Open in 2024.
Currently
two
one further
scientific papers
are
is
under review for publication.
The academic outputs will
and have
inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory.
[3 paragraphs unchanged]
Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits.
DARS-NIC-461283-Q3R7K-v1.3 22 April 2024 to 21 April 2025
- Title
- COVID Maternity Equalities Project
- Commercial
- No
- Sublicensing
- No
- Datasets
- 1
- Files released
- 0
Datasets: Hospital Episode Statistics Admitted Patient Care (HES APC)
What changed from DARS-NIC-461283-Q3R7K-v0.6
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2024-04-22 | |
| End date | 2025-04-21 | |
| Hospital Episode Statistics Admitted Patient Care (HES APC): legal basis | Health and Social Care Act 2012 - s261(5)(d) |
Objective for processing
[4 paragraphs unchanged]
This is a new project first funded by the Health Foundation in 2021 which proposes to use data from NHS
Digital
England
and subsequent qualitative analysis to understand the impact of the COVID-19 pandemic on inequalities in maternity care.
[9 paragraphs unchanged]
How data provided by NHS
Digital
England
will be used in the study:
This study will use Hospital Episode Statistics (HES) Admitted Patient Care (APC) data on mother and child provided by NHS
Digital
England
to describe national trends and unit-level differences in key maternity outcomes by
[133 words unchanged]
on existing inequalities was as small as possible) would be viewed favourably.
Through use of the HES data from NHS
Digital
England
and the subsequent service-level interviews, the project will provide recommendations regarding which
[49 words unchanged]
place of residence, have access to safe maternity care. Data from NHS
Digital
England
on maternity care and outcomes is not currently published by hospital by
[25 words unchanged]
data burden on NHS staff by ensuring we use routinely collected data.
Data will be restricted to a cohort for births from 1st January 2018 to 31st March 2021 that is derived from hospital admissions records that contain valid information about either mode of birth or outcome of delivery. The study team estimate that this will be approximately 1.8 million women and their babies (approximately 1.8 million births). All historic admissions episodes from 2000-2017 should be provided for all individuals with a record in this cohort. By looking at women’s previous admissions in HES, it is possible to derive their previous medical and maternity history, as well as use ethnicity as recorded in a previous admission if it is missing from the birth record; these processes have been used by other researchers. Since this is a national project, data from all English NHS trusts is required.
PREVIOUS DATA REQUEST
Data was restricted to a cohort for births from 1st January 2018 to 31st March 2021 that is derived from hospital admissions records that contain valid information about either mode of birth or outcome of delivery. The study team estimate that this will be approximately 1.8 million women and their babies (approximately 1.8 million births). All historic admissions episodes from 2000-2017 should be provided for all individuals with a record in this cohort. By looking at women’s previous admissions in HES, it is possible to derive their previous medical and maternity history, as well as use ethnicity as recorded in a previous admission if it is missing from the birth record; these processes have been used by other researchers. Since this is a national project, data from all English NHS trusts is required.
[2 paragraphs unchanged]
The RCOG has a secure data access environment (hosted by RedCentric PLC) which is where the data will be kept and used by both employees of the RCOG and of Queen Mary (any individuals involved in the data processing who are not substantively employed by the RCOG or by QMUL have an RCOG honorary contract). QMUL is the primary employer of the principal investigator. This project has been co-developed with two lay co-investigators in order to ensure it encompasses the concerns of women and particularly women from ethnic minority groups.
RCOG’s secure server is hosted by Microsoft Azure. Microsoft Limited will store the Data as contracted by RCOG.
The data will be kept and used by both employees of the RCOG and of Queen Mary (any individuals involved in the data processing who are not substantively employed by the RCOG or by QMUL have an RCOG honorary contract). QMUL is the primary employer of the principal investigator. This project has been co-developed with two lay co-investigators in order to ensure it encompasses the concerns of women and particularly women from ethnic minority groups.
[7 paragraphs unchanged]
Processing activities
Previous
Data request:
NHS
Digital will identify
England identified
a cohort of approximately 1.8 million women and babies from delivery and birth records between 1st January 2018 to 31st March 2021.
NHS
Digital will return
England returned
pseudonymised record level data to the Royal College of Obstetricians and Gynaecologists
[71 words unchanged]
HES APC records for mothers and babies identified in the previous step
will
were
also
be
included within the files.
[1 paragraph unchanged]
Historical hospital admissions episodes (2000-2017) will enable the derivation of previous birth
[66 words unchanged]
be deleted. A data destruction certificate will be made available to NHS
Digital
England
on request.
[7 paragraphs unchanged]
Pseudonymised patient level data from NHS
Digital
England
will be held within RCOG's secure data environment. This pseudonymised data will
[63 words unchanged]
data processing. The secure research environment is accessed by two factor authentication.
[9 paragraphs unchanged]
Redcentric PLC supply IT infrastructure and Cloud Services for the RCOG and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data.
The Data will be stored and backed up on the RCOG’s Azure tenant, provisioned by Microsoft Ltd.
As part of the overall project, RCOG will derive a further database
[49 words unchanged]
database will not be linked to patient-level data records provided by NHS
Digital.
England.
No other data will be linked to patient level NHS
Digital
England
data. Maternity Information System (MIS) data contains information about each woman’s pregnancy,
[23 words unchanged]
about neonatal care for the 10% of babies admitted to neonatal units.
[1 paragraph unchanged]
Expected output
The Hospital Episode Statistics (HES) data provided by NHS
Digital
England
will enable the following outputs:
[9 paragraphs unchanged]
UPDATE: At present, two scientific manuscripts related to the project are under review, and another manuscript will be submitted in the next few months. As we will need time to respond to queries from reviewers, we would like to retain the data received until 11/08/2025.
OUTPUTS 2024
Maternal and baby birth records were identified using a combination of ICD-10 and OPCS codes or HES fields. Records of women who gave birth and babies born in England between 1st January 2018 and 31st March 2021 were included in the study.
RCOG used maternal and neonatal composite indicators to rank NHS Trusts. Outcomes were chosen following a literature review of studies using routinely available hospital data. The final list of outcomes was reviewed and approved by the Women’s Reference Group. RCOG restricted the analysis to singleton births. RCOG calculated the incidence rate of the maternal and neonatal composite indicators, and individual adverse outcomes in the pre-pandemic and pandemic period at a national level. Results are being written up for submission to a peer reviewed journal.
RCOG used difference-in-differences (DiD) analysis to calculate the ‘inequality gap’ in each Trust. RCOG ranked Trusts by their DiD. Trusts that had a smaller ‘inequality gap’ difference from prepandemic to the pandemic and 95% CIs were statistically significant for both neonatal and maternal composite indicators or either one of them, were identified as positive deviants. RCOG also identified Trusts as comparators for interview. These had reduced inequalities but not significantly.
RCOG interviewed 20 staff from 6 out of the 9 positive deviant trusts identified in the analysis mentioned above, and 4 comparators. We analysed the data using reflective thematic analysis, before taking a top-down approach to the resulting codes to identify key facilitators to best practice. The interviews and analysis have been completed and are being written up for submission to a peer reviewed journal.
The initial analysis on the impact of the Covid-19 pandemic on ethnic inequalities in adverse maternity outcomes was presented at the British Maternal & Fetal Medicine Society (BMFMS) in 2022.
The academic outputs will inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory. The RCOG hosts a dedicated webpage to the project which updates O&G clinicians and members of the public about the project. The link to this page can be found here. This page also includes a brief video from one of the members of the Women’s Reference Group, sharing her experience of giving birth during the pandemic.
The production of an animation is part of the dissemination activities. It generates an engaging short, animated clip (90 seconds) that can be accessed by a lay audience. A dissemination event was organised by the team bringing together Clinical staff, Academic staff, co applicants, steering group members, Race Equality taskforce members, Women’s reference group, Health Foundation and RCOG Staff. This created an opportunity for further engagement and networking. It also raised the awareness of the project findings.
Benefits reported
Yielded Benefits is not a requirement for new applications.
The initial analysis on the impact of the Covid-19 pandemic on ethnic inequalities in adverse maternity outcomes was presented at the British Maternal & Fetal Medicine Society (BMFMS) in 2022. Currently two scientific papers are under review for publication.
The academic outputs will inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory.
The RCOG hosts a dedicated webpage to the project which updates O&G clinicians and members of the public about the project. The link to this page can be found here. This page also includes a brief video from one of the members of the Women’s Reference Group, sharing her experience of giving birth during the pandemic.
The production of an animation is part of the dissemination activities. It generates an engaging short animated clip (90 seconds) that can be accessed by a lay audience.
A dissemination event was organised by the team bringing together Clinical staff, Academic staff, co applicants, steering group members, Race Equality taskforce members, Women’s reference group, Health Foundation and RCOG Staff. This created an opportunity for further engagement and networking. It also raised the awareness of the project findings.
Unchanged: Expected measurable benefits.
Objective for processing
Purpose and Background of the Project:
Prior to the COVID-19 pandemic, there were already deep inequalities in maternity care and outcomes in England. Black women were already five times more likely to die during pregnancy, birth and the postpartum period, and Asian women three times more likely, than white women. During the pandemic there have been substantial shifts in the way that maternity care is delivered in Britain. However, the effects of these changes on maternity outcomes have not been measured, and it is also unclear whether these changes have widened or narrowed existing inequality gaps. There is an opportunity to learn lessons about how services may mitigate existing inequalities through service innovation.
The purpose of this project is to identify the impact of COVID-19 and associated modifications to maternity care (such as the use of remote consultations, changes to process of diagnosis of gestational diabetes, and reduction in appointments) on inequalities in maternity care (in stillbirth, preterm birth, mode of birth such as caesarean section, and postpartum complications), and learn lessons to inform recommendations regarding ongoing modifications and changes to maternity care in the future.
Rationale for the project:
This is a new project first funded by the Health Foundation in 2021 which proposes to use data from NHS England and subsequent qualitative analysis to understand the impact of the COVID-19 pandemic on inequalities in maternity care.
During the COVID-19 pandemic maternity units have had to modify care provision rapidly and have faced staffing challenges. There are concerns that the service modifications have introduced new forms of inequalities, such as digital (where access to care via digital means disadvantages to those without devices or internet access). Initial results from the pandemic are heterogeneous: a possible increase in the rate of stillbirth in a single London unit (Khalil et al. JAMA 2020) not mirrored in national figures for the ‘first wave’ of the COVID-19 pandemic in the UK (ONS 2021); an observed reduction in extreme prematurity in Denmark (Hedermann et al. Archives of Disease in Childhood Fetal and Neonatal 2020). Women of ethnic minority groups have been disproportionally affected by COVID-19 infection (Knight M et al, BMJ 2020), but it is unclear whether ethnicity directly, or marginalisation and disadvantage or inequality in accessing care has contributed to this disparity.
This project speaks explicitly to recommendation 7 of Public Health England (PHE) report "Beyond the data: Understanding the impact of COVID-19 on BAME groups" (PHE 2020) in that it seeks to ‘Ensure that COVID-19 recovery strategies actively reduce inequalities caused by the wider determinants of health to create long term sustainable change.’
Restoration of services is currently heterogeneous and there is an urgent need for information to guide prioritisation of services both in this restoration phase and in any future peak. This is to ensure that modifications to services are justified, do not worsen maternal or fetal outcomes, and look to narrow existing inequalities.
The study team are aware of the sensitivity of investigating maternity outcomes by ethnic group. The study team do not intend to produce results published by trust name and do not intend to negatively identify maternity units or produce any sort of ranking. The study team have been careful to include a wide range of stakeholders and experts in the Steering Group, together with a Women's Reference Group which represents the diverse population accessing maternity care. The investigator group includes two lay coinvestigators from RCOG's Women's Network and the Caribbean and African Health Network who are able to directly represent women from diverse backgrounds. Statisticians from Bristol University are advisory to the data processing methodology. Neither the lay coinvestigators nor individuals from Bristol University will be determining the purposes or the means of data processing. Outputs, using aggregated data with small numbers suppressed, will be co-produced as a team in order to respect the sensitivity of this topic.
Project plan:
This project aims to answer three questions using routinely collected maternity data:
i) How have the COVID-19 driven modifications to maternity services impacted on maternity outcomes overall, and on the inequality gap in these outcomes?
ii) To what extent has ethnicity contributed to the inequality gap in maternity outcomes before and during the pandemic?
iii) Which units have narrower inequality gaps in maternity outcomes during the pandemic?
How data provided by NHS England will be used in the study:
This study will use Hospital Episode Statistics (HES) Admitted Patient Care (APC) data on mother and child provided by NHS England to describe national trends and unit-level differences in key maternity outcomes by ethnic and socioeconomic group. The team will then seek to identify maternity units where there is evidence of good practice (a narrowing in inequalities in maternity outcomes) during the pandemic and approach these units to obtain consent to investigate these further through service-level interviews (i.e. interviews with clinicians and women's representatives in order to identify service changes in these units during the pandemic). There has been no engagement with these units prior to this request, as data is required to identify participant units, but preliminary approaches to three units to assess feasibility suggested that being approached as a 'positive deviant' (i.e. a unit where changes in practice during the COVID-19 pandemic narrowed existing gaps in outcomes between women from different ethnic groups, or if these do not exist, a unit where the impact on existing inequalities was as small as possible) would be viewed favourably.
Through use of the HES data from NHS England and the subsequent service-level interviews, the project will provide recommendations regarding which service modifications (for example, types of telephone clinics; use of remote blood pressure monitoring) will provide a positive impact on equality in maternity care. These can then inform rapidly implemented change, improve the quality and safety of maternity care and ensure that all women, irrespective of their background or place of residence, have access to safe maternity care. Data from NHS England on maternity care and outcomes is not currently published by hospital by ethnic and socioeconomic group and thus pseudonymised data is required in order to generate these totals and enable further investigation. Requesting HES data minimises the data burden on NHS staff by ensuring we use routinely collected data.
PREVIOUS DATA REQUEST
Data was restricted to a cohort for births from 1st January 2018 to 31st March 2021 that is derived from hospital admissions records that contain valid information about either mode of birth or outcome of delivery. The study team estimate that this will be approximately 1.8 million women and their babies (approximately 1.8 million births). All historic admissions episodes from 2000-2017 should be provided for all individuals with a record in this cohort. By looking at women’s previous admissions in HES, it is possible to derive their previous medical and maternity history, as well as use ethnicity as recorded in a previous admission if it is missing from the birth record; these processes have been used by other researchers. Since this is a national project, data from all English NHS trusts is required.
Organisations involved:
The organisations involved in data processing for the study are the Royal College of Obstetricians and Gynaecologists (RCOG), supported by researchers from Queen Mary University of London (QMUL). The project was commissioned by the Health Foundation and The Healthcare Improvement Studies (THIS) Institute to understand the impact of COVID-19 on maternity outcomes and health inequalities. The RCOG is leading and hosting the project and is the sole data controller.
RCOG’s secure server is hosted by Microsoft Azure. Microsoft Limited will store the Data as contracted by RCOG.
The data will be kept and used by both employees of the RCOG and of Queen Mary (any individuals involved in the data processing who are not substantively employed by the RCOG or by QMUL have an RCOG honorary contract). QMUL is the primary employer of the principal investigator. This project has been co-developed with two lay co-investigators in order to ensure it encompasses the concerns of women and particularly women from ethnic minority groups.
RCOG’s legal bases for processing the requested data are GDPR Article 6(1)(f) - legitimate interests, and Article 9(2)(h)- health care. This project has completed a legitimate interests assessment, and the balancing test shows that the individual’s interests do not override the legitimate interests of RCOG in undertaking the project. Article 9(2)(h) applies because the processing will support the management of health care systems to provide equitable outcomes to women and babies from all ethnic backgrounds. This project supports the need for the healthcare system to reflect upon the impact of service changes made during the pandemic and assess the equity of their impact.
References:
Khalil A, von Dadelszen P, Draycott T et al. Change in the Incidence of Stillbirth and Preterm Delivery During the COVID-19 Pandemic. JAMA 2020;324(7):705-706. doi:10.1001/jama.2020.12746
ONS. Provisional births in England and Wales: 2020. 2021. Available from https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/articles/provisionalbirthsinenglandandwales/2020andquarter1jantomar2021
Hedermann G, Hedley P, Baekvad-Hansen M et al. Danish premature births during the COVID-19 lockdown. Archives of Disease in Childhood - Fetal and Neonatal Edition 2021;106:93-95.
Knight M, Bunch K, Vousden N et al. Characteristics and outcomes of pregnant women admitted to hospital with confirmed SARS-CoV-2 infection in UK: national population based cohort study. BMJ 2020; 369 doi: https://doi.org/10.1136/bmj.m2107
Public Health England. Beyond the Data: Understanding the impact of COVID-19 on BAME communities. 2020. Available from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/892376/COVID_stakeholder_engagement_synthesis_beyond_the_data.pdf
Expected output
The Hospital Episode Statistics (HES) data provided by NHS England will enable the following outputs:
(1) Peer-reviewed publications (to be submitted to journals including the British Medical Journal, BJOG: An International Journal of Obstetrics and Gynaecology, PLoS Medicine, PLoS One) supplemented with online resources detailing
(a) national and regional changes to maternity outcomes by ethnic and socioeconomic group during the pandemic: target date late 2021/ early 2022 (aimed at academic and policy audience).
(b) associations between service changes and maternity outcomes by ethnic group: target date March 2022 (aimed at an academic and policy audience).
(2) A list of units to be approached for further qualitative analysis. Units which constitute ‘positive deviants’ (i.e. any units where changes in practice during the COVID-19 pandemic narrowed existing gaps in outcomes between women from different ethnic groups, or if these do not exist, units where the impact on existing inequalities was as small as possible) in their approach to ethnic and socioeconomic inequality during the pandemic will be chosen in consultation with a lay group. Ten such units are anticipated to be identified on the basis of maternity care and outcomes (eg differences in stillbirth, preterm birth, and caesarean section rates).
(3) A final report on service changes associated with adverse outcomes and ethnic inequality to inform policy and guideline changes. This will have a supplementary lay and policy briefing to enable change (aimed at the public and at policymakers).
All outputs will be coproduced with patients and the public (including academic outputs). The report and supplementary lay briefing will be freely available. We will make every effort within funding constraints to enable published papers to be open access.
All published outputs will be aggregated with small number suppression in line with the HES analysis guide.
Note on patient and public involvement (PPI): This project is supported by a Women's Reference Group. This group, which will have 5-6 meetings throughout the year, is made up of 25 women chosen from over 200 who applied, who together represent a diverse range of experience (diversity of ethnicity, socioeconomic group, birth experience, parity, geography) supported by the PPI team at the RCOG and a qualitative researcher. This group will provide direct input into the selection criteria for units identified for qualitative investigation and a framework of lived experience of the pandemic, as well as ensuring that what is important to women is highlighted in the recommendations made. The team also has two lay co-investigators who each lead representative networks of women, who have provided direct input into the conduct of the study, the desired outputs, and the design of the qualitative aspects of the study in which they have expertise.
A wide network of stakeholders has formally committed to the project including the Royal College of Midwives (RCM), NHS England, the Care Quality Commission (CQC), the Governments of the devolved nations of the UK, charities and National Maternity Voices. This network will facilitate bi-directional dissemination, mobilising outputs down to practitioners and end users and up to policy makers. Dissemination of the key findings via social media will enable us to reach women directly, drawing specifically on the RCOG’s Women’s Network and Voices panels.
UPDATE: At present, two scientific manuscripts related to the project are under review, and another manuscript will be submitted in the next few months. As we will need time to respond to queries from reviewers, we would like to retain the data received until 11/08/2025.
OUTPUTS 2024
Maternal and baby birth records were identified using a combination of ICD-10 and OPCS codes or HES fields. Records of women who gave birth and babies born in England between 1st January 2018 and 31st March 2021 were included in the study.
RCOG used maternal and neonatal composite indicators to rank NHS Trusts. Outcomes were chosen following a literature review of studies using routinely available hospital data. The final list of outcomes was reviewed and approved by the Women’s Reference Group. RCOG restricted the analysis to singleton births. RCOG calculated the incidence rate of the maternal and neonatal composite indicators, and individual adverse outcomes in the pre-pandemic and pandemic period at a national level. Results are being written up for submission to a peer reviewed journal.
RCOG used difference-in-differences (DiD) analysis to calculate the ‘inequality gap’ in each Trust. RCOG ranked Trusts by their DiD. Trusts that had a smaller ‘inequality gap’ difference from prepandemic to the pandemic and 95% CIs were statistically significant for both neonatal and maternal composite indicators or either one of them, were identified as positive deviants. RCOG also identified Trusts as comparators for interview. These had reduced inequalities but not significantly.
RCOG interviewed 20 staff from 6 out of the 9 positive deviant trusts identified in the analysis mentioned above, and 4 comparators. We analysed the data using reflective thematic analysis, before taking a top-down approach to the resulting codes to identify key facilitators to best practice. The interviews and analysis have been completed and are being written up for submission to a peer reviewed journal.
The initial analysis on the impact of the Covid-19 pandemic on ethnic inequalities in adverse maternity outcomes was presented at the British Maternal & Fetal Medicine Society (BMFMS) in 2022.
The academic outputs will inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory. The RCOG hosts a dedicated webpage to the project which updates O&G clinicians and members of the public about the project. The link to this page can be found here. This page also includes a brief video from one of the members of the Women’s Reference Group, sharing her experience of giving birth during the pandemic.
The production of an animation is part of the dissemination activities. It generates an engaging short, animated clip (90 seconds) that can be accessed by a lay audience. A dissemination event was organised by the team bringing together Clinical staff, Academic staff, co applicants, steering group members, Race Equality taskforce members, Women’s reference group, Health Foundation and RCOG Staff. This created an opportunity for further engagement and networking. It also raised the awareness of the project findings.
Benefits reported
The initial analysis on the impact of the Covid-19 pandemic on ethnic inequalities in adverse maternity outcomes was presented at the British Maternal & Fetal Medicine Society (BMFMS) in 2022. Currently two scientific papers are under review for publication.
The academic outputs will inform evidence and policy specifically through the RCOG’s links to the Race Equality Taskforce and through that to the NHS Race Observatory.
The RCOG hosts a dedicated webpage to the project which updates O&G clinicians and members of the public about the project. The link to this page can be found here. This page also includes a brief video from one of the members of the Women’s Reference Group, sharing her experience of giving birth during the pandemic.
The production of an animation is part of the dissemination activities. It generates an engaging short animated clip (90 seconds) that can be accessed by a lay audience.
A dissemination event was organised by the team bringing together Clinical staff, Academic staff, co applicants, steering group members, Race Equality taskforce members, Women’s reference group, Health Foundation and RCOG Staff. This created an opportunity for further engagement and networking. It also raised the awareness of the project findings.
DARS-NIC-461283-Q3R7K-v0.6 12 August 2021 to 11 August 2024
- Title
- COVID Maternity Equalities Project
- Commercial
- No
- Sublicensing
- No
- Datasets
- 1
- Files released
- 21
Datasets: Hospital Episode Statistics Admitted Patient Care (HES APC)
Objective for processing
Purpose and Background of the Project:
Prior to the COVID-19 pandemic, there were already deep inequalities in maternity care and outcomes in England. Black women were already five times more likely to die during pregnancy, birth and the postpartum period, and Asian women three times more likely, than white women. During the pandemic there have been substantial shifts in the way that maternity care is delivered in Britain. However, the effects of these changes on maternity outcomes have not been measured, and it is also unclear whether these changes have widened or narrowed existing inequality gaps. There is an opportunity to learn lessons about how services may mitigate existing inequalities through service innovation.
The purpose of this project is to identify the impact of COVID-19 and associated modifications to maternity care (such as the use of remote consultations, changes to process of diagnosis of gestational diabetes, and reduction in appointments) on inequalities in maternity care (in stillbirth, preterm birth, mode of birth such as caesarean section, and postpartum complications), and learn lessons to inform recommendations regarding ongoing modifications and changes to maternity care in the future.
Rationale for the project:
This is a new project first funded by the Health Foundation in 2021 which proposes to use data from NHS Digital and subsequent qualitative analysis to understand the impact of the COVID-19 pandemic on inequalities in maternity care.
During the COVID-19 pandemic maternity units have had to modify care provision rapidly and have faced staffing challenges. There are concerns that the service modifications have introduced new forms of inequalities, such as digital (where access to care via digital means disadvantages to those without devices or internet access). Initial results from the pandemic are heterogeneous: a possible increase in the rate of stillbirth in a single London unit (Khalil et al. JAMA 2020) not mirrored in national figures for the ‘first wave’ of the COVID-19 pandemic in the UK (ONS 2021); an observed reduction in extreme prematurity in Denmark (Hedermann et al. Archives of Disease in Childhood Fetal and Neonatal 2020). Women of ethnic minority groups have been disproportionally affected by COVID-19 infection (Knight M et al, BMJ 2020), but it is unclear whether ethnicity directly, or marginalisation and disadvantage or inequality in accessing care has contributed to this disparity.
This project speaks explicitly to recommendation 7 of Public Health England (PHE) report "Beyond the data: Understanding the impact of COVID-19 on BAME groups" (PHE 2020) in that it seeks to ‘Ensure that COVID-19 recovery strategies actively reduce inequalities caused by the wider determinants of health to create long term sustainable change.’
Restoration of services is currently heterogeneous and there is an urgent need for information to guide prioritisation of services both in this restoration phase and in any future peak. This is to ensure that modifications to services are justified, do not worsen maternal or fetal outcomes, and look to narrow existing inequalities.
The study team are aware of the sensitivity of investigating maternity outcomes by ethnic group. The study team do not intend to produce results published by trust name and do not intend to negatively identify maternity units or produce any sort of ranking. The study team have been careful to include a wide range of stakeholders and experts in the Steering Group, together with a Women's Reference Group which represents the diverse population accessing maternity care. The investigator group includes two lay coinvestigators from RCOG's Women's Network and the Caribbean and African Health Network who are able to directly represent women from diverse backgrounds. Statisticians from Bristol University are advisory to the data processing methodology. Neither the lay coinvestigators nor individuals from Bristol University will be determining the purposes or the means of data processing. Outputs, using aggregated data with small numbers suppressed, will be co-produced as a team in order to respect the sensitivity of this topic.
Project plan:
This project aims to answer three questions using routinely collected maternity data:
i) How have the COVID-19 driven modifications to maternity services impacted on maternity outcomes overall, and on the inequality gap in these outcomes?
ii) To what extent has ethnicity contributed to the inequality gap in maternity outcomes before and during the pandemic?
iii) Which units have narrower inequality gaps in maternity outcomes during the pandemic?
How data provided by NHS Digital will be used in the study:
This study will use Hospital Episode Statistics (HES) Admitted Patient Care (APC) data on mother and child provided by NHS Digital to describe national trends and unit-level differences in key maternity outcomes by ethnic and socioeconomic group. The team will then seek to identify maternity units where there is evidence of good practice (a narrowing in inequalities in maternity outcomes) during the pandemic and approach these units to obtain consent to investigate these further through service-level interviews (i.e. interviews with clinicians and women's representatives in order to identify service changes in these units during the pandemic). There has been no engagement with these units prior to this request, as data is required to identify participant units, but preliminary approaches to three units to assess feasibility suggested that being approached as a 'positive deviant' (i.e. a unit where changes in practice during the COVID-19 pandemic narrowed existing gaps in outcomes between women from different ethnic groups, or if these do not exist, a unit where the impact on existing inequalities was as small as possible) would be viewed favourably.
Through use of the HES data from NHS Digital and the subsequent service-level interviews, the project will provide recommendations regarding which service modifications (for example, types of telephone clinics; use of remote blood pressure monitoring) will provide a positive impact on equality in maternity care. These can then inform rapidly implemented change, improve the quality and safety of maternity care and ensure that all women, irrespective of their background or place of residence, have access to safe maternity care. Data from NHS Digital on maternity care and outcomes is not currently published by hospital by ethnic and socioeconomic group and thus pseudonymised data is required in order to generate these totals and enable further investigation. Requesting HES data minimises the data burden on NHS staff by ensuring we use routinely collected data.
Data will be restricted to a cohort for births from 1st January 2018 to 31st March 2021 that is derived from hospital admissions records that contain valid information about either mode of birth or outcome of delivery. The study team estimate that this will be approximately 1.8 million women and their babies (approximately 1.8 million births). All historic admissions episodes from 2000-2017 should be provided for all individuals with a record in this cohort. By looking at women’s previous admissions in HES, it is possible to derive their previous medical and maternity history, as well as use ethnicity as recorded in a previous admission if it is missing from the birth record; these processes have been used by other researchers. Since this is a national project, data from all English NHS trusts is required.
Organisations involved:
The organisations involved in data processing for the study are the Royal College of Obstetricians and Gynaecologists (RCOG), supported by researchers from Queen Mary University of London (QMUL). The project was commissioned by the Health Foundation and The Healthcare Improvement Studies (THIS) Institute to understand the impact of COVID-19 on maternity outcomes and health inequalities. The RCOG is leading and hosting the project and is the sole data controller.
The RCOG has a secure data access environment (hosted by RedCentric PLC) which is where the data will be kept and used by both employees of the RCOG and of Queen Mary (any individuals involved in the data processing who are not substantively employed by the RCOG or by QMUL have an RCOG honorary contract). QMUL is the primary employer of the principal investigator. This project has been co-developed with two lay co-investigators in order to ensure it encompasses the concerns of women and particularly women from ethnic minority groups.
RCOG’s legal bases for processing the requested data are GDPR Article 6(1)(f) - legitimate interests, and Article 9(2)(h)- health care. This project has completed a legitimate interests assessment, and the balancing test shows that the individual’s interests do not override the legitimate interests of RCOG in undertaking the project. Article 9(2)(h) applies because the processing will support the management of health care systems to provide equitable outcomes to women and babies from all ethnic backgrounds. This project supports the need for the healthcare system to reflect upon the impact of service changes made during the pandemic and assess the equity of their impact.
References:
Khalil A, von Dadelszen P, Draycott T et al. Change in the Incidence of Stillbirth and Preterm Delivery During the COVID-19 Pandemic. JAMA 2020;324(7):705-706. doi:10.1001/jama.2020.12746
ONS. Provisional births in England and Wales: 2020. 2021. Available from https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/articles/provisionalbirthsinenglandandwales/2020andquarter1jantomar2021
Hedermann G, Hedley P, Baekvad-Hansen M et al. Danish premature births during the COVID-19 lockdown. Archives of Disease in Childhood - Fetal and Neonatal Edition 2021;106:93-95.
Knight M, Bunch K, Vousden N et al. Characteristics and outcomes of pregnant women admitted to hospital with confirmed SARS-CoV-2 infection in UK: national population based cohort study. BMJ 2020; 369 doi: https://doi.org/10.1136/bmj.m2107
Public Health England. Beyond the Data: Understanding the impact of COVID-19 on BAME communities. 2020. Available from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/892376/COVID_stakeholder_engagement_synthesis_beyond_the_data.pdf
Expected output
The Hospital Episode Statistics (HES) data provided by NHS Digital will enable the following outputs:
(1) Peer-reviewed publications (to be submitted to journals including the British Medical Journal, BJOG: An International Journal of Obstetrics and Gynaecology, PLoS Medicine, PLoS One) supplemented with online resources detailing
(a) national and regional changes to maternity outcomes by ethnic and socioeconomic group during the pandemic: target date late 2021/ early 2022 (aimed at academic and policy audience).
(b) associations between service changes and maternity outcomes by ethnic group: target date March 2022 (aimed at an academic and policy audience).
(2) A list of units to be approached for further qualitative analysis. Units which constitute ‘positive deviants’ (i.e. any units where changes in practice during the COVID-19 pandemic narrowed existing gaps in outcomes between women from different ethnic groups, or if these do not exist, units where the impact on existing inequalities was as small as possible) in their approach to ethnic and socioeconomic inequality during the pandemic will be chosen in consultation with a lay group. Ten such units are anticipated to be identified on the basis of maternity care and outcomes (eg differences in stillbirth, preterm birth, and caesarean section rates).
(3) A final report on service changes associated with adverse outcomes and ethnic inequality to inform policy and guideline changes. This will have a supplementary lay and policy briefing to enable change (aimed at the public and at policymakers).
All outputs will be coproduced with patients and the public (including academic outputs). The report and supplementary lay briefing will be freely available. We will make every effort within funding constraints to enable published papers to be open access.
All published outputs will be aggregated with small number suppression in line with the HES analysis guide.
Note on patient and public involvement (PPI): This project is supported by a Women's Reference Group. This group, which will have 5-6 meetings throughout the year, is made up of 25 women chosen from over 200 who applied, who together represent a diverse range of experience (diversity of ethnicity, socioeconomic group, birth experience, parity, geography) supported by the PPI team at the RCOG and a qualitative researcher. This group will provide direct input into the selection criteria for units identified for qualitative investigation and a framework of lived experience of the pandemic, as well as ensuring that what is important to women is highlighted in the recommendations made. The team also has two lay co-investigators who each lead representative networks of women, who have provided direct input into the conduct of the study, the desired outputs, and the design of the qualitative aspects of the study in which they have expertise.
A wide network of stakeholders has formally committed to the project including the Royal College of Midwives (RCM), NHS England, the Care Quality Commission (CQC), the Governments of the devolved nations of the UK, charities and National Maternity Voices. This network will facilitate bi-directional dissemination, mobilising outputs down to practitioners and end users and up to policy makers. Dissemination of the key findings via social media will enable us to reach women directly, drawing specifically on the RCOG’s Women’s Network and Voices panels.
Benefits reported
Yielded Benefits is not a requirement for new applications.
Register history
When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds.
-
October 2021 —
first listed. 1 version: DARS-NIC-461283-Q3R7K-v0.6
-
June 2024
1 version added: DARS-NIC-461283-Q3R7K-v1.3
-
March 2025
1 version added: DARS-NIC-461283-Q3R7K-v2.2
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-461283-Q3R7K, “COVID Maternity Equalities Project”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-461283-q3r7k/ (accessed [date]).
This address stays the same, but the page is rebuilt with each monthly edition, so the citation names the edition it shows. Every edition's data is kept in the facts store.
Source: datausesregister_september2026.xlsx, September 2026 edition of the NHS England Data Uses Register. Search that workbook for DARS-NIC-461283-Q3R7K to see the original rows.