BackgroundThe COVID-19 pandemic is an unprecedented global public health crisis that continues to exert immense pressure on healthcare and related professional staff and services. The impact on staff wellbeing is likely to be influenced by a combination of modifiable and non-modifiable factors.ObjectivesThe aim of this study is to evaluate the effect of the COVID-19 pandemic on the self-reported wellbeing, resilience, and job satisfaction of National Health Service (NHS) and university staff working in the field of healthcare and medical research.MethodsWe conducted a cross sectional survey of NHS and UK university staff throughout the COVID-19 pandemic between May-November 2020. The anonymous and voluntary survey was disseminated through social media platforms, and via e-mail to members of professional and medical bodies. The data was analyzed using descriptive and regression (R) statistics.ResultsThe enjoyment of work and satisfaction outside of work was significantly negatively impacted by the COVID-19 pandemic for all of staff groups independent of other variables. Furthermore, married women reporting significantly lower wellbeing than married men (P = 0.028). Additionally, the wellbeing of single females was significantly lower than both married women and men (P = 0.017 and P < 0.0001, respectively). Gender differences were also found in satisfaction outside of work, with women reporting higher satisfaction than men before the COVID-19 pandemic (P = 0.0002).ConclusionOur study confirms that the enjoyment of work and general satisfaction of staff members has been significantly affected by the first wave of the COVID-19 pandemic. Interestingly, being married appears to be a protective factor for wellbeing and resilience but the effect may be reversed for life satisfaction outside work. Our survey highlights the critical need for further research to examine gender differences using a wider range of methods.

The economy was seen by 51 percent of people in the UK as one of the top three issues facing the country in March 2025. The ongoing cost of living crisis afflicting the UK, driven by high inflation, is still one of the main concerns of Britons. Health has generally been the second most important issue since early 2022, possibly due to NHS staffing problems, and increasing demand for health services, which have plunged the National Health Service into a deep crisis. From late 2022 onwards, immigration emerged as the third main concern for British people, just ahead of the environment for much of 2023 and as of the most recent month, the second most important issue for voters. Labour's popularity continues to sink in 2025 Despite winning the 2024 general election with a strong majority, the new Labour government has had its share of struggles since coming to power. Shortly after taking office, the approval rating for Labour stood at -2 percent, but this fell throughout the second half of 2024, and by January 2025 had sunk to a new low of -47 percent. Although this was still higher than the previous government's last approval rating of -56 percent, it is nevertheless a severe review from the electorate. Among several decisions from the government, arguably the least popular was the government withdrawing winter fuel payments. This state benefit, previously paid to all pensioners, is now only paid to those on low incomes, with millions of pensioners not receiving this payment in winter 2024. Sunak's pledges fail to prevent defeat in 2024 With an election on the horizon, and the Labour Party consistently ahead in the polls, addressing voter concerns directly was one of the best chances the Conservatives had of staying in power in 2023. At the start of that year, Rishi Sunak attempted to do this by setting out his five pledges for the next twelve months; halve inflation, grow the economy, reduce national debt, cut NHS waiting times, and stop small boats. A year later, Sunak had at best only partial success in these aims. Although the inflation rate fell, economic growth was weak and even declined in the last two quarters of 2023, although it did return to growth in early 2024. National debt was only expected to fall in the mid to late 2020s, while the trend of increasing NHS waiting times did not reverse. Small boat crossings were down from 2022, but still higher than in 2021 or 2020. .

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

Abstract copyright UK Data Service and data collection copyright owner.

The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds data from 1972 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.

Further information may be found on the gov.uk National Travel Survey webpage.

End-User Licence, Special Licence and Secure Access NTS data
The UK Data Archive holds three versions of the NTS:

• the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).
• The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.
• The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.

Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation.


Main Topics:

Mode of transport; purpose of journey; number of journeys; time of day, distance and length of time of journeys; travel costs.
Background Variables
Households; age; sex; occupations; socio-economic status; driving licence holding; car ownership or availability to house.

A survey carried out in the United Kingdom (UK) in March 2020, found that 60 percent of people believe companies should ensure their employees who feel unwell are made to stay home to help restrict the spread of the coronavirus (COVID-19). Additionally, 54 percent of people believe it is important that all airlines cancel or reduce flights to high risk regions, while a further 51 percent think increasing hospital supplies is a critical step to limit and manage the spread of coronavirus in the UK. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

An influential body of work has identified a ‘welfare-state paradox’: work–family policies that bring women into the workforce also undermine women’s access to the top jobs. Missing from this literature is a consideration of how welfare-state interventions impact on women’s representation at the board-level specifically, rather than managerial and lucrative positions more generally. This database includes data that contribute to addressing this ‘gap’. It compiles existing secondary data from various sources into a single dataset. Both the raw and 'fuzzy' data used in a fuzzy-set Qualitative Comparative Analysis of 22 industrialised countries are available. Based on these data, analyses reveal how welfare-state interventions combine with gender boardroom quotas and targets in (not) bringing a ‘critical mass’ of women onto private-sector corporate boards. Overall, there is limited evidence in support of a welfare-state paradox; in fact, countries are unlikely to achieve a critical mass of women on boards in the absence of adequate childcare services. Furthermore, ‘hard’, mandatory gender boardroom quotas do not appear necessary for achieving more women on boards; ‘soft’, voluntary recommendations can also work under certain family policy constellations. The deposit additionally includes other data from the project that provide more context on work-family policy constellations, as they show how countries performance across multiple gendered employment outcomes spanning segregation and inequalities in employment participation, intensity and pay, with further differences by class.

While policymakers in the UK and elsewhere have sought to increase women's employment rates by expanding childcare services and other work/family policies, research suggests these measures have the unintentional consequence of reinforcing the segregation of men and women into different 'types' of jobs and sectors (Mandel & Semyonov, 2006). Studies have shown that generous family policies lead employers to discriminate against women when it comes to hiring, training, and promotions, as employers assume that women are more likely to make use of statutory leaves and flexible working. Furthermore, state provision of health, education, and care draws women into stereotypically female service jobs in the public sector and away from (better-paid) jobs in the private sector. Accordingly, research suggests that the more 'women-friendly' a welfare state is, the harder it will be for women - especially if they are highly skilled - to break into male-dominated jobs and sectors, including the most lucrative managerial positions (Mandel, 2012).

Yet, more recent evidence indicates that women's disadvantaged access to better jobs is not inevitable under generous welfare policies. For instance, women's share of senior management positions in Sweden, where women-friendly policies are most developed, now stands at 36%; this compares to a figure of 28% in the UK, where gender employment segregation has historically been lower (Eurostat, 2018). Thus, the aim of this project is to provide a clearer and fuller understanding of how welfare states impact on gender employment segregation by using innovative methods and approaches that have not been used to examine this research puzzle before.

To this aim, the project is organised into three 'work packages' (WPs). WP1 examines how conditions at the country-level mediate the relationship between welfare states and gender segregation in employment across 21 advanced economies. This includes Central and Eastern European countries, which prior research has tended to overlook. The country-level conditions included are cultural norms, regulations regarding women's representation on corporate boards, and labour-market characteristics. Data will be compiled from the International Social Survey Programme, OECD, Eurostat, the Global Media Monitoring Project, the World Bank, and Deloitte's Women in the Boardroom project. WP2 then investigates how the impact of welfare-state policies on a woman's career progression varies according to her socioeconomic position and the specific economic and social context in which she lives, using regional and individual-level data from the European Social Survey. Subsequently, WP3 carries out systematic comparative case studies to explore in depth the underlying mechanisms that explain why certain welfare states and regions exhibit high levels of gender inequality but low levels of class inequality, while in other places, the opposite is true. Data are drawn from the same sources as for WP1 and WP2, as well as academic literature and other relevant sources (e.g. government websites).

The project is important because its findings will inform policymakers about how their policies affect different groups of women and how to overcome the 'inclusion-inequality' dilemma (Pettit & Hook, 2009), i.e. bring more women into the workforce by providing adequate family policies and...

The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds End-User Licence data from 1972 onwards and Special Licence and Secure Access data from 2002 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.

Further information may be found on the gov.uk National Travel Survey webpage.

End-User Licence, Special Licence and Secure Access NTS data
The UK Data Archive holds three versions of the NTS:

• the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).
• The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.
• The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.

Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation.

2020 and 2021 Disclaimer:
Due to changes in the methodology of data collection, changes in travel behaviour and a reduction of data collected during 2020 and 2021, as a result of the coronavirus (COVID-19) pandemic, care should be taken when interpreting this data and comparing to other years, due to the small sample sizes. Please see the background documentation for further details of these changes.

Latest edition information:
For the thirteenth edition (September 2024), data and documentation for 2023 have been added to the study.

Data labels
Users should note that the SPSS and Stata files for 2023 have been converted from CSV format and do not currently contain variable or value labels. Complete metadata information can be found in the Excel Lookup table files and the NTS Data Extract User Guide within the documentation.

According to a survey carried out in 2022, almost half of NHS employees stated patients' inability to use and access digital services without assistance was a significant challenge in delivering remote health or care services. Further challenges included difficulty connecting with remote locations, the ability to access critical systems in real-time, costs, and colleagues’ inability to use technology.

This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK 5x5 km Concentration Based Estimated Deposition (CBED) data for 2017-19 (https://doi.org/10.5285/1efa692d-76ca-406e-8736-837a457e16ee ). The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia). Full details about this dataset can be found at https://doi.org/10.5285/049b5fd2-3f12-48fc-8b43-57fa4db649ae

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

Abstract copyright UK Data Service and data collection copyright owner.The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds data from 1972 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies. Further information may be found on the gov.uk National Travel Survey webpage. End-User Licence, Special Licence and Secure Access NTS data The UK Data Archive holds three versions of the NTS:the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation. This study comprises NTS data for 1995-2001. For the third edition (October 2015), the data files were replaced with new versions; the variable names have been changed to match the newest NTS data, the contents of the files reflect reprocessing done by the NTS team. The documentation has been updated accordingly. Main Topics: The 1995-2001 NTS includes:household variables: address type information, accessibility of public transport, access to amenities, household vehicle access, household composition and household socio-economic informationindividual information: age, gender and marital status, social and economic information, frequency of use of various methods of transport, driving licences and type of vehicle driven, employment, occupation and industry details, income, place of work and travel to work, travel benefits connected with work, season ticket details, travel difficulties, playing in the street (for children)vehicle information: vehicle type, registration details, parking, vehicle subsidies, mileage, fuel used and purchased, non-eligible traveltrips: day, date and time, main mode, purpose, origin and destination informationstage: mode, number in party, distance, costslong-distance trips (over 50 miles): mode, purpose, origin and destination Multi-stage stratified random sample Diaries Face-to-face interview Self-completion

This statistic displays the share of certain rules or controls that businesses have implemented with regards to cyber security in the United Kingdom (UK) in 2024. Among all business respondents, 83 percent have implemented up-to-date malware protection. On the other hand, only 35 percent of businesses implemented separate Wi-Fi networks for staff and visitors. One of the most common rules among charities was restricting IT admin and access rights to specific users, with 65 percent of charity respondents having implemented the rule.Cyber security became a critical issue for all businesses as the protection of systems, networks and data cyberspace is only becoming more important with more security incidents occurring worldwide. Thus, many UK businesses implemented different cyber security rules such as up-to-date malware protection, as in protection from viruses, worms, spyware/adware and trojans.

The Cambridge Centre for Business Research Survey of Knowledge Exchange Activity with Universities by United Kingdom Companies, 2017-2021 contains the results of an online survey of directors of UK companies in 2020-2021.

The survey was designed to assess the extent and nature of the knowledge exchange interactions of their companies with the university sector. It covers the three-year period to March 2020 prior to the Covid-19 pandemic and questions relating to the subsequent impact of the pandemic on knowledge exchange patterns. The researchers inquired about 33 modes of interaction grouped into four broad categories. These were commercialisation (3 modes), people-based (10 modes), problem-solving (12 modes) and community-based (4 modes).

The survey covers a sample of 3,823 companies in all sectors, regions and countries of the UK and employment sizes ranging from micro-firms less than 10 employees, to the largest public listed corporations. The response rate was 4.4 per cent and a detailed response bias analyses by survey wave and prompt wave showed largely insignificant sample response bias compared to the sampling frame drawn from the FAME database of all UK companies.

The dataset provides a unique source of data on a critical period of challenge for knowledge exchange in the UK. David Sweeney, the then Executive Director of Research England which sponsored the survey commented on an initial report of results in 2022 that "This report which has an exclusive focus on company interactions with universities, is an important addition to our understanding of the collaboration process" (The Changing State of Business-University Interactions in the UK. Centre for Business Research and NCUB. 2022 p2).

The survey dataset contains many variables comparable with a similar previous postal survey of an earlier period by two members of the current research team. The data from this is available from the Data Archive under SN 6464 - Cambridge Centre for Business Research Survey of Knowledge Exchange Activity by United Kingdom Businesses, 2005-2009.

During 2010-11, as part of the Carbon Capture & Storage (CCS) Demonstration Competition process, E.ON undertook a Front End Engineering Design (FEED) study for the development of a commercial scale CCS demonstration plant at Kingsnorth in Kent, South East England. The study yielded invaluable knowledge and the resulting material is available for download here. This chapter is devoted to the transportation and injection infrastructure requirements of the Kingsnorth Carbon Capture and Storage development. This encompasses a 36 inch (outside diameter) pipeline which runs onshore for approx 10 km and offshore in the Southern North Sea for 260 km, a platform in the vicinity of the Hewett field location, and appropriate facilities both for the conditioning of CO2 before pipeline entry and the processing of the CO2 stream prior to injection into the sequestration site. The chapter highlights in particular the following areas:- Critical assumptions; Platform Concept Selection; Transport Solution Selection; Pipeline Key Issues; Pipeline Pre-Commissioning; Temperature; Emergency Shutdown; Personnel Safety; Venting; Flow Assurance Modelling. Throughout the execution of the work described in this chapter significant opportunity was taken to ensure that the interfaces from capture (and compression) to pipeline/platform and to wells/storage were managed closely. This was achieved by cross system interface management meetings organized to consider interface issues and to compare issues raised in separate HAZIDs. The purpose of conceptual design has been to identify the problems to be addressed comprehensively by the next stage of FEED and this suite of reports provides valuable insights to the challenges faced. All aspects of establishing an agreed philosophy for design and operation of a storage and transport system for CCS begin with understanding what the initial CO2 flow conditions will be at the interface between the well perforations and the reservoir (i.e. at the sandstone face at the bottom of the well). Further supporting documents for chapter 6 of the Key Knowledge Reference Book can be downloaded.

Background: The Coronavirus disease (COVID-19) has emphasised the critical need to investigate the mental well-being of healthcare professionals working during the pandemic. It has been highlighted that healthcare professionals display a higher prevalence of mental distress and research has largely focused on frontline professions. Social restrictions were enforced during the pandemic that caused rapid changes to the working environment (both clinically and remotely). The present study aims to examine the mental health of a variety of healthcare professionals, comparing overall mental wellbeing in both frontline and non-frontline professionals and the effect of the working environment on mental health outcomes.

Method: A cross-sectional mixed methods design, conducted through an online questionnaire. Demographic information was optional but participants were required to complete: (a) Patient Health Questionnaire, (b) Generalised Anxiety Disorder, (c) Perceived Stress Scale, and (d) Copenhagen Burnout Inventory. The questionnaire included one open-ended question regarding challenges experienced working during the pandemic.

Procedure:
Upon ethical approval the online questionnaire was advertised for six weeks from 1st May 2021 to 12th June 2021 to maximise the total number of respondents able to partake. The survey was hosted on the survey platform “Online Surveys”. It was not possible to determine a response rate because identifying how many people had received the link was unattainable information. The advert for the study was placed on social media platforms (WhatsApp, Instagram, Facebook and Twitter) and shared through emails.

Participants were recruited through the researchers’ existing professional networks and they shared the advertisement and link to questionnaire with colleagues. The information page explained the purpose of the study, eligibility criteria, procedure, costs and benefits of partaking and data storage. Participants were made aware on the information page that completing and submitting the questionnaire indicated their informed consent. It was not possible to submit complete questionnaires unless blank responses were optional demographic data. Participants were informed that completed questionnaires could not be withdrawn due to anonymity.

The questionnaire consisted of four sections: demographic data, mental health information and the four psychometric tools, PHQ-9, GAD-7, PSS-10 and CBI. Due to the sensitive nature of this research, only the psychometric measures required an answer for each question, thus all demographic information was optional to encourage participant contentment. Once participants had completed the questionnaire and submitted, they were automatically taken to a debrief page. This revealed the hypothesis of the questionnaire and rationalised why it was necessary to conceal this prior to completion. Participants were signposted to mental health charities and a self-referral form for psychological support. Participants could contact the researcher via email to express an interest in the results. It was explained that findings would be analysed using descriptive statistics to investigate any correlations or patterns in the responses. Data collected was stored electronically, on a password protected laptop. It will be kept for three years and then destroyed.

Instruments: PHQ-9, GAD-7, PSS-10 and CBI.

Other questions included:

Thank you for considering taking part in the questionnaire! Please remember by completing and submitting the questionnaire you are giving your informed consent to participate in this study.

Demographic:

Gender: please select one of the following:

Male Female Non-binary Prefer not to answer

Age: what is your age?

Open question: Prefer not to answer

What is your current region in the UK?

South West, East of England, South East, East Midlands, Yorkshire and the Humber, North West, West Midlands, North East, London, Scotland, Wales, Northern Ireland Prefer not to answer

Ethnicity: please select one of the following:

White English, Welsh, Scottish, Northern Irish or British Irish Gypsy or Irish Traveller Any other White background Mixed or Multiple ethnic groups White and Black Caribbean White and Black African White and Asian Any other Mixed or Multiple ethnic background Asian or Asian British Indian Pakistani Bangladeshi Chinese Any other Asian background Black, African, Caribbean or Black British African Caribbean Any other Black, African or Caribbean background Other ethnic group Arab Option for other please specify Prefer not to answer

Employment/environment:

What was your employment status in 2020 prior to COVID-19 pandemic?

Please select the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your current employment status?

Please tick the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your healthcare profession/helping profession?

Please state your job title. Open question

How often did you work from home before the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the first UK national lockdown for COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the second UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often have you worked from home during the third UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often are you currently working from home during the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

Mental health:

How would you describe your mental health leading up to the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

How would you describe your mental health during the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

What have been the main challenges working as a healthcare professional/helping profession during COVID-19 pandemic? Open question

Data analysis: Firstly, any missing data was checked by the researcher and noted in the results section. The data was then analysed using a statistical software package called Statistical Package for the Social Sciences version 28 (SPSS-28). Descriptive statistics were collected to organise and summarise the data, and a correlation coefficient describes the strength and direction of the relationship between two variables. Inferential statistics were used to determine whether the effects were statistically significant. Responses to the open-ended question were coded and examined for key themes and patterns utilising the Braun and Clarke (2006) thematic analysis approach.

Ethical considerations: The study was approved by the Health Science, Engineering and Technology Ethical Committee with Delegated Authority at the University of Hertfordshire.

The potential benefits and risks of partaking in the research were contemplated and presented on the information page to promote informed consent. Precautions to prevent harm to participants included eligibility criteria, excluding those under eighteen years older or experiencing mental health distress. As the questionnaire was based around employment and the working environment, another exclusion involved experiencing a recent job change which caused upset.

An anonymous questionnaire and optional input of demographic data fostered the participants’ right to autonomy, privacy and respect. Specific employment and organisation or company information were not collected to protect confidentiality. Although participants were initially deceived regarding the hypotheses, they were provided with accurate information about the purpose of the study. Deceit was appropriate to collect unbiased information and participants were subsequently informed of the hypotheses on the debrief page.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2021-22, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2022. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the third publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. The MethodfDelivery measure counting babies has been replaced by the DeliveryMethodBabyGroup measure which counts deliveries, and the smoking at booking and folic acid status measures have been renamed - these changes have been made to better align this annual publication with the Maternity Services Monthly Statistics publication. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.