Implications of time of day and day of the week for the outcome of birth
Lead Research Organisation:
City St George’s, University of London
Department Name: School of Health Sciences
Abstract
One of our team had been involved in research from the 1970s onwards which showed that the birth of babies was spread unevenly through the days of the week. Our previous project, known as 'Birth Timing', which analysed over seven million births in England and Wales from 2005-2014, was the first national study of both the day and time of births and this new proposal will build on this work.
Our research team linked three large sets of routinely collected data to combine mother and baby records from three sources. These were birth registration, birth notification when NHS numbers are allocated to babies, and records about maternity care during labour and birth. A database was created to enable us to analyse the data.
Our results showed a regular weekly cycle with numbers of births increasing each day from Mondays to Fridays, lower numbers of births on Saturdays and lowest weekly numbers of births on Sundays. Fewest births occurred at Christmas. Births also varied seasonally, with a peak in late September. When labour involved no medical assistance, numbers of births were highest from midnight to 7am, peaking from 4am to 6am. They were lowest during the day and the hours up to midnight. Planned caesarean births were usually on weekday mornings. Births after induced labour were more likely to occur around midnight on Tuesdays to Saturdays, whether or not any medical assistance was needed, with a peak before public holidays.
As the variation in the timing of births by place and type of birth has implications for midwifery and medical staffing and for the organisation of maternity care more generally, further research is needed to use the new database to investigate the implications. We therefore propose research to investigate whether death rates at birth of children and their mothers and varies according to the time of day and day of the week. In addition, we hope to analyse variations in the rates of serious complications. We plan to move beyond the simple subdivision into time inside and outside 'normal working hours' and analyse outcomes at different times of day and night. Asthere are signs that some births are brought forward so that they occur before weekends and public holidays, we plan to analyse the implications of these selection processes.
It is also known that rates of planned caesareans and induced labours vary widely between maternity units and the extent of these variations is not explained by differences in the groups of women giving birth. The suggestion is that these differences reflect differences in obstetricians' and midwives' policies. We therefore plan to see how times of birth vary between units and whether they appear to be associated with these differences in policies.
Our research team linked three large sets of routinely collected data to combine mother and baby records from three sources. These were birth registration, birth notification when NHS numbers are allocated to babies, and records about maternity care during labour and birth. A database was created to enable us to analyse the data.
Our results showed a regular weekly cycle with numbers of births increasing each day from Mondays to Fridays, lower numbers of births on Saturdays and lowest weekly numbers of births on Sundays. Fewest births occurred at Christmas. Births also varied seasonally, with a peak in late September. When labour involved no medical assistance, numbers of births were highest from midnight to 7am, peaking from 4am to 6am. They were lowest during the day and the hours up to midnight. Planned caesarean births were usually on weekday mornings. Births after induced labour were more likely to occur around midnight on Tuesdays to Saturdays, whether or not any medical assistance was needed, with a peak before public holidays.
As the variation in the timing of births by place and type of birth has implications for midwifery and medical staffing and for the organisation of maternity care more generally, further research is needed to use the new database to investigate the implications. We therefore propose research to investigate whether death rates at birth of children and their mothers and varies according to the time of day and day of the week. In addition, we hope to analyse variations in the rates of serious complications. We plan to move beyond the simple subdivision into time inside and outside 'normal working hours' and analyse outcomes at different times of day and night. Asthere are signs that some births are brought forward so that they occur before weekends and public holidays, we plan to analyse the implications of these selection processes.
It is also known that rates of planned caesareans and induced labours vary widely between maternity units and the extent of these variations is not explained by differences in the groups of women giving birth. The suggestion is that these differences reflect differences in obstetricians' and midwives' policies. We therefore plan to see how times of birth vary between units and whether they appear to be associated with these differences in policies.
Planned Impact
Who will benefit from this research?
There are two categories of potential beneficiaries from this research. The first is professionals, both clinicians working in the maternity services and commissioners who need to plan and pay for maternity provision. It is noteworthy that this area of research was first suggested to us by the Royal College of Obstetricians and the Royal College of Midwives and both organisations provided letters of support when we applied for funds for our previous project 'Births and their outcomes by time, day and year: a retrospective birth cohort data linkage study', to undertake the data linkage and analysis.
This research is equally relevant to women using maternity services. In the consultations we had with service users during our previous project, 'Births and their outcomes by time, day and year: a retrospective birth cohort data linkage study' we were told that press reports both of published research and also of speculations not based on evidence have led to anxiety among women going into labour at night and at weekends.
How will they benefit from this research?
The overall patterns of births, their possible associations with mortality and the extent to which these patterns are likely to vary between maternity units are likely to be important information for people responsible for managing midwifery staffing and availability of obstetric care at appropriate levels when it is needed. Although it will not, of course, enable quantification of staffing levels, it should provide additional insights to inform decision making.
For service users, the research should provide more robust information. If it points to specific factors, it should enable service user representatives in making their case to the services about specific changes which could lead to improvements in the availability of high quality maternity care irrespective of the time of day or night.
There are two categories of potential beneficiaries from this research. The first is professionals, both clinicians working in the maternity services and commissioners who need to plan and pay for maternity provision. It is noteworthy that this area of research was first suggested to us by the Royal College of Obstetricians and the Royal College of Midwives and both organisations provided letters of support when we applied for funds for our previous project 'Births and their outcomes by time, day and year: a retrospective birth cohort data linkage study', to undertake the data linkage and analysis.
This research is equally relevant to women using maternity services. In the consultations we had with service users during our previous project, 'Births and their outcomes by time, day and year: a retrospective birth cohort data linkage study' we were told that press reports both of published research and also of speculations not based on evidence have led to anxiety among women going into labour at night and at weekends.
How will they benefit from this research?
The overall patterns of births, their possible associations with mortality and the extent to which these patterns are likely to vary between maternity units are likely to be important information for people responsible for managing midwifery staffing and availability of obstetric care at appropriate levels when it is needed. Although it will not, of course, enable quantification of staffing levels, it should provide additional insights to inform decision making.
For service users, the research should provide more robust information. If it points to specific factors, it should enable service user representatives in making their case to the services about specific changes which could lead to improvements in the availability of high quality maternity care irrespective of the time of day or night.
Publications
Carty L
(2022)
Neonatal mortality in NHS maternity units by timing of birth and method of delivery: a retrospective linked cohort study.
in International Journal of Population Data Science
Carty L
(2023)
Neonatal mortality in NHS maternity units by timing and mode of birth: a retrospective linked cohort study.
in BMJ open
Newburn M
(2020)
Involving service users in Births and their outcomes: a retrospective birth cohort data linkage study analysing daily, weekly and yearly cycles and their implications for the NHS
in International Journal of Population Data Science
| Description | Our funding finished in August 2022. Our main article, analysing neonatal mortality, deaths in the first month of life, submitted in November 2022 was finally published in June 2023. We are still working on analyses of maternal mortality which we have yet to submit for publication. Our article about how the risk of dying within a month of birth varied by timing of birth showed that between 2005 and 2014, for almost all births in England, being born outside of working hours did not carry a significantly higher risk of death to the baby from anoxia (lack of oxygen) or trauma, when compared to births during working hours. This applied irrespective of whether the labour began spontaneously, whether it was induced or whether there was no labour at all and how the baby was born, whether spontaneously, assisted by forceps or ventouse or by planned or emergency caesarean. This contradicts previous analyses which found a higher risk of death outside working hours. The analysis identified a small subset of births, less than two per cent of the total, to which the overall results did not apply. These babies had been born by emergency caesarean, without labour and were at a 1.5 per cent higher risk of death if born outside working hours. Our analysis was able to detect this subgroup because of its size. It included over six million births, much larger than previous analyses. Further research is needed both to find out more about this small vulnerable group of babies and to find out if the overall findings still apply in the years from 2015 onwards when maternity services have experienced increasing staffing problems compounded by the impact of the Covid pandemic. |
| Exploitation Route | It could be used in relation to planning staffing of maternity units, although, as the output will show it has raised questions for further investigation using other methods. It has shown thr importance of linking the datasets used and the importance of large linked datasets for research. |
| Sectors | Healthcare Other |
| URL | https://www.adruk.org/our-mission/our-impact/birth-cohort-data-linkage-study-228/ |
| Description | Our findings on neonatal mortality can be used to assure women that it is not dangerous to give birth at night except in a small proportion of births in emergency circumstances. As our main paper was not published until June 2023, ten months after funding finally finished in August 2022, our ability to get the word around has been limited so far, but it has now achieved an altimetric https://bmj.altmetric.com/details/149983963 . Unlike our earlier work on the timing of birth, the press coverage at the time of publication was limited. In addition, our work on maternal mortality, which has yet to be submitted for publication has the potential to contribute to discussion about high maternal mortality among ethnic mortality women and the role of migration. The delay was caused by a multiplicity of problems. We had encountered some problems, including data access problems in our previous project and tried to allow for them in this project but we could not have anticipated disruptions due to Covid. The departure of our first researcher and the time needed to replace her reflect the precarious conditions in which researchers are employed. Meanwhile, the agenda for the maternity services has moved on and is dominated by staffing crises and questions about the quality of care which can be provided by a depleted and demoralised midwifery workforce. It is disappointing not to have been able to publish our results when they were more timely and would have been more widely used and had greater impact. In addition, our attempt to secure further funding to move the research on was unsuccessful. We applied to an open call so although we received very positive comments from reviewers who understood this type of research, the comments from those who didn't were scathing. It was apparent that a similar discussion took place on the funding committee which was faced with allocating an insufficient amount of funding between many areas of social research. This project, like our previous NIHR-funded project has contributed to the ability of service users to contribute to data intensive research. As this project was a secondary analysis of a dataset constructed in our previous NIHR funded project, our service user researcher built on the novel three tier approach to PPI developed in that and developed it for use online during the pandemic and afterwards. Although funding has ceased, analysis of the data on maternal mortality has continued and work has been done on apparent discrepancies between published data on maternal deaths. There are now two draft papers which should be submitted in the coming year and we are planning related PPI work with service users which will be included in the article still being drafted about our previous PPI work. |
| First Year Of Impact | 2023 |
| Sector | Healthcare,Other |
| Impact Types | Policy & public services |
| Description | Overall impact of project and series of projects as a whole |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The main findings of our most recent project were published too recently to have had time to influence professional practice or service users views on timing of birth in general or birth outside 'working hours' in particular. On the other hand it and the two preceding projects have had a cumulative influence. 'Linkage, analysis and dissemination of birth and maternity data for England and Wales' funded by the MRC as part of a joint Wellcome / research councils joint initiative, tested and established the feasibility of linkage between data about birth registration / notification to data about care given in hospital at birth and subsequently. In Birth Timing 1 / City Birth Cohort ( 12/136/93), funded by NIHR we were able to apply these techniques to construct linked birth cohort of births in the years 2005-2014 and answer questions about the timing of birth which would not have been possible in unlinked data. The results attracted considerable attention and increased public knowledge about the timing of birth. We also collaborated with other researchers who undertook analyses about associations between gestational age and admission to hospital in childhood and with another research team which has linked our cohort to 2011 census data and data about air pollution, widening even further the scope of analyses available with linked data and the extent of information available to the public. Our work on service user and public involvement in research has been innovative. Our development of the three tier approach in work on the City Birth Cohort has influenced practice in research where it is not possible to approach research participants individually In our work on constructing the City Birth Cohort we also encountered many of the barriers to such work, in particular problems and delays in negotiating Data Access Agreements. These barriers slowed us down considerably and we were unable to complete all our proposed analyses. We were therefore pleased that the widening of the scope of the Secondary Data Analysis Initiative enabled us to successfully apply to the ESRC for funding. (ES/5010785/1) We hoped that our previous experience would enable us to avoid the delays we had encountered previously, but that was overoptimistic, especially as Covid added to them. Added to this, our project researcher left before the end of the funding, as she needed to have a more secure job, for personal reasons, so there was a gap while we recruited a replacement. As a result, we have been unable to finish all our planned analyses and despite the work done by our press office, the findings of our analyses on neonatal mortality have yet to reach a wider public. Despite this, we feel that it is important to take a longer view and that this series of projects has improved our ability to produce information for public benefit. At the same time, we would want to encourage research funders to tackle some of the problems we encountered in order to prevent waste of research funds. |
| Title | City Birth Cohort |
| Description | Birth registration and notification records of 7,013,804 births in 2005-14, already linked to subsequent death registration records for babies, children and women who died within 1 year of giving birth, were provided by the Office for National Statistics. Stillbirths and neonatal deaths data from confidential enquiries for 2005-9 were linked to the registration records. Data for England were linked to Hospital Episode Statistics (HES) and data for Wales were linked to the Patient Episode Database for Wales and the National Community Child Health Database. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | Has enabled analyses of births and neonatal mortality by time of day and day of the week. It has also enabled analyses of readmissions of children to hospital in childhood by gestational age at birth |
| URL | https://www.journalslibrary.nihr.ac.uk/hsdr/hsdr07180 |
| Title | Linkage of data recorded at birth registration and notification in England and Wales to data about care at birth |
| Description | Linkage of data from birth registration and notification to data from Maternity Hospital Episode Statistics and separately,to Patient Episode Database Wales |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | It enabled us to analyse births by time of day and day of the week in relation to data collected about care at birth. Data are held in secure facilities in the Office for National Statistics Secure Research Service and can be used by other researchers on application to relevant organisations responsible for the data. The TIGAR project has used the data we have linked and the PICNIC project is using the database now by linking it to census data. |
| URL | https://www.adruk.org/our-mission/our-impact/article/birth-cohort-data-linkage-study-228/ |
| Description | Involving the public with an analysis of daily, weekly and yearly cycles of births using linked data. Webinar in Office for National Statistics Research Excellence Series |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | Office for National Statistics seminar May 12 2022 Mary Newburn, Miranda Dodwell, Rachel Plachcinski, Alison Macfarlane Involving the public with an analysis of daily, weekly and yearly cycles of births using linked data As a result of winning the Linked Administrative Data Award, one of the Office for National Statistics Secure Research Service's Research Excellence Awards, we were invited to give a webinar describing out public engagement work. As it was online, we don't have any precise information about its overall reach but we understand the audience was diverse. We were also invited to prepare a written case study to go on the web site of Administrative Data Research UK . https://www.adruk.org/our-mission/our-impact/default-30feeac6a3/ |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.adruk.org/our-mission/our-impact/default-30feeac6a3/ |
| Description | National Maternity Voices Unconference |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | Meeting of 'National Maternity Voices' which brings together service users and professionals. Discussed results of previous NIHR-funded project and plans for this project. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Online engagement activities with service users |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | Engagement with maternity service users about research questions. In return, providing support in understanding and using maternity statistics to inform decisions about care. This was done online as the pandemic ruled out the meetings of service users which we had used previouslyand reported in a recent publication. |
| Year(s) Of Engagement Activity | 2020,2021,2022 |