Percent of NHS staff by organisation, staff group, and ethnicity

The rate of absence due to sickness in the NHS Scotland overall workforce increased in the last decade from 4.7 percent in 2014 to over 6.2 percent in 2024. In 2021, there was a slight decrease to 4.6 percent.

Conditions include: puerperal psychosis (severe postnatal depression); bi-polar effective disorder/manic depression; psychosis; psychotic depression; schizophrenia; and other. While more than 90% of records had valid data for this data item, across most health boards, in most years, there are some data quality issues. Only 56% of records for Cardiff and Vale had valid data in 2016 and 88% in Hywel Dda between 2016 and 2018 and in 2020. Data recorded in Betsi Cadwaladr and Cwm Taf Morgannwg appears to have been recorded on a different basis to other health boards, across all years and therefore data for these health boards are excluded from the Wales total figures. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NWIS Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm From 1st April 2019 health service provision for residents of Bridgend local authority moved from Abertawe Bro Morgannwg to Cwm Taf. For more information see the joint statement from Cwm Taf and Abertawe Bro Morgannwg University Health Boards (see weblinks). The health board names have changed with Cwm Taf University Health Board becoming Cwm Taf Morgannwg University Health Board and Abertawe Bro Morgannwg University Health Board becoming Swansea Bay University Health Board. Data for Abertawe Bro Morgannwg and Cwm Taf are available for previous years in this table by selecting the tick boxes in the Area drop-down box.

This publication of the SHMI relates to discharges in the reporting period March 2023 - February 2024. The SHMI is the ratio between the actual number of patients who die following hospitalisation at the trust and the number that would be expected to die on the basis of average England figures, given the characteristics of the patients treated there. The SHMI covers patients admitted to hospitals in England who died either while in hospital or within 30 days of being discharged. To help users of the data understand the SHMI, trusts have been categorised into bandings indicating whether a trust's SHMI is 'higher than expected', 'as expected' or 'lower than expected'. For any given number of expected deaths, a range of observed deaths is considered to be 'as expected'. If the observed number of deaths falls outside of this range, the trust in question is considered to have a higher or lower SHMI than expected. The expected number of deaths is a statistical construct and is not a count of patients. The difference between the number of observed deaths and the number of expected deaths cannot be interpreted as the number of avoidable deaths or excess deaths for the trust. The SHMI is not a measure of quality of care. A higher than expected number of deaths should not immediately be interpreted as indicating poor performance and instead should be viewed as a 'smoke alarm' which requires further investigation. Similarly, an 'as expected' or 'lower than expected' SHMI should not immediately be interpreted as indicating satisfactory or good performance. Trusts may be located at multiple sites and may be responsible for 1 or more hospitals. A breakdown of the data by site of treatment is also provided, as well as a breakdown of the data by diagnosis group. Further background information and supporting documents, including information on how to interpret the SHMI, are available on the SHMI homepage (see Related Links).

Smoking at initial assessment: More than 90% of records had valid data for the smoking status at initial assessment data item, across all health boards, in all years. However, statistics on smoking at initial assessment and birth are limited by the way in which the data is collected. If CO monitoring is not available, data reliability is dependent on the mother self-reporting accurate information. CO monitoring has largely been suspended since the COVID-19 pandemic began, so data for 2020 and 2021 is mainly self-reported. E-Cigarette use should not be recorded in this data item and would not be detected by a CO monitor; however, in practice some mothers may self-report as a smoker if they use e-cigarettes and be incorrectly recorded as a smoker. Likewise, some mothers who do smoke may self-report as a non-smoker and be incorrectly recorded as a non-smoker. Smoking at birth: In 2021, 82% of records had valid data recorded at the Wales level. This was largely due to Hywel Dda health board not supplying any smoking at birth data, while there was only 68% complete data for Cwm Taf Morgannwg. There were also low levels of completeness in 2020 for Hywel Dda (30%), Cwm Taf Morgannwg (70%) and Powys (76%). However, in all years prior to 2020, more than 90% of records had valid data for smoking status at birth, across nearly all health boards. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NWIS Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm From 1st April 2019 health service provision for residents of Bridgend local authority moved from Abertawe Bro Morgannwg to Cwm Taf. For more information see the joint statement from Cwm Taf and Abertawe Bro Morgannwg University Health Boards (see weblinks). The health board names have changed with Cwm Taf University Health Board becoming Cwm Taf Morgannwg University Health Board and Abertawe Bro Morgannwg University Health Board becoming Swansea Bay University Health Board. Data for Abertawe Bro Morgannwg and Cwm Taf are available for previous years in this table by selecting the tick boxes in the Area drop-down box.

The number of HCHS doctors leaving generally increased during the period reaching 21,000 leavers in the year 2022/23, the highest reported in the period analyzed, and over a seven percent increase from the figure reported a year earlier.

This publication looks at Accident and Emergency activity in England for the financial year 2022-23. It describes NHS accident and emergency activity and performance in hospitals in England. The data sources for this publication are the Emergency Care Data Set (ECDS) and Emergency Admissions Monthly Situation Reports (MSitAE) relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. The report includes analysis by patient demographics, time spent in A&E, distributions by time of arrival and day of week, arriving by ambulance, performance times, waits for admission and reattendances to A&E within 7 days. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England Known Data Quality Issues: Royal Cornwall Hospitals NHS Trust (REF) - Due to a system configuration issue which the supplier has been unable to resolve, since January 2023, records which have an NHS Number Status Indicator of '02' are missing the data items Person Birth Date, Organisation Code of Residence and Postcode in submissions from Royal Cornwall Hospitals NHS Trust (REF). This may cause a reduction in certain record counts in this publication and will impact the data quality score for RCHT. Contact details Author: Secondary Care Open Data and Publications, NHS England Responsible Statistician: Emily Michelmore Email: enquiries@nhsdigital.nhs.uk Press enquiries should be made to: Media Relations Manager: telephone 0300 303 3888

The majority of NHS staff in England worked additional unpaid hours. In 2024, just over half of surveyed staff reported working unpaid overtime, while the other half did not. Among those who worked unpaid overtime, most did up to five hours of extra work, while three percent worked 11 hours or more. Although staff working unpaid overtime is showing signs of decrease, paid overtime has increased slightly.

Proportion of adults receiving NHS funded community mental health, learning disabilities or autism services who are in employment, expressed as a percentage, 95% confidence intervals (CI). October 2022: This is the last CCGOIS publication. All Clinical Commissioning Groups (CCGs) were statutorily abolished on the 1 July 2022, and from this point all statutory obligations are managed by the Integrated Care Boards (ICBs). ICBs were established as statutory bodies from July 2022 and succeed Sustainability and Transformation Partnerships (STPs). These came into effect on 1 July 2022. A transition phase has been implemented from 1 July 2022, during which the 106 Organisation Data Service (ODS) codes that identified CCGs will be temporarily retained, but the names will be changed to identify the ‘Sub ICB Location’. As of the March 2020 release, the production process for this indicator has been fully automated. As a result, all data are based on the most recent mental health data set and are published for June 2016 onwards. For the historic time series of this indicator please refer to the zip files in the December 2019 publication: https://digital.nhs.uk/data-and-information/publications/statistical/ccg-outcomes-indicator-set/december-2019/ccg-outcomes-indicator-set---december-2019 Legacy unique identifier: P01864

The National Community Child Health Database (NCCHD) is a database maintained by Digital Health and Care Wales (DHCW). The data is extracted routinely from local health board held Child Health System databases. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NWIS Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm From 1st April 2019 health service provision for residents of Bridgend local authority moved from Abertawe Bro Morgannwg to Cwm Taf. For more information see the joint statement from Cwm Taf and Abertawe Bro Morgannwg University Health Boards (see weblinks). The health board names have changed with Cwm Taf University Health Board becoming Cwm Taf Morgannwg University Health Board and Abertawe Bro Morgannwg University Health Board becoming Swansea Bay University Health Board. Data for Abertawe Bro Morgannwg and Cwm Taf are available for previous years in this table by selecting the tick boxes in the Area drop-down box. Breastfeeding data at 10 days, 6 weeks and 6 months is collected through the Healthy Child Wales Programme. The delivery of this programme has been affected by COVID-19 and has resulted in a small increase of missing breastfeeding data in Apr-Jun 2020. The percentage of missing data for the quarter Jul-Sep 2020 is in line with pre-COVID-19 levels.

The National Community Child Health Database (NCCHD) is a database maintained by Digital Health and Care Wales (DHCW). The data is extracted routinely from LHB-held Child Health System databases. Data is for all children: includes children defined as receiving Flying Start services and not receiving Flying Start using their flying start postcode coverage. From 1st April 2019 health service provision for residents of Bridgend local authority moved from Abertawe Bro Morgannwg to Cwm Taf. The health board names have changed with Cwm Taf University health board becoming Cwm Taf Morgannwg University health board and Abertawe Bro Morgannwg University health board becoming Swansea Bay health board. Data for the quarter Jan-Mar 2020 is affected by the COVID-19 pandemic. Some health visitors were redeployed by health boards to work in hospitals and to ease the burden on health boards and only the 10-14 day contact and 6 week contact remained mandatory for health boards to carry out. Contacts at other points in time were completed as much as resource allowed, and the majority would have been completed over the telephone. These contacts may not have been recorded in the usual way, so the data for Jan-Mar 2020 should be interpreted in this context. Data from April 2020 onwards will be affected by the COVID-19 pandemic. Health boards were under extreme pressure to provide services, in particular during the early months of the pandemic, with many health visiting staff being redeployed to different roles. As a result Welsh Government issued guidance on 23 March 2020 advising health boards to prioritise providing contacts at 10-14 days, 6 weeks and 6 months. As face-to-face contacts were reduced, many contacts would have taken place virtually but not all of these would have been recorded. Further guidance was issued on 13 May 2020 advising health boards to reinstate additional contacts and for health boards to work towards providing a full range of contacts and on 25 August 2020 health boards were advised that they should now return to providing the full range of contacts. As the rate of COVID-19 infections increased during the winter, further guidance was issued on 22 December 2020 advising health boards to risk assess cessation or the reduction of health visiting services, and as a minimum, health boards should still provide contacts at 10-14 days, 6 weeks and 6 months. Caution is advised when interpreting data for the 6 week GP appointment and the 8 week immunisation appointment, as there is a known data quality issue. The data presented is an under-count of the actual activity taking place. The issue is caused by the paper-based data collection process not being fully implemented. Steps have been taken to improve data quality, and further measures will continue to be actioned until data is more reliable. There is a known data quality issue for April-Jun 2022 data. The percentage of children receiving contacts in Aneurin Bevan at each contact point apart from 6 weeks is an undercount of the true activity which took place. This issue has been caused by a delay in processing data collection forms in the health board and the health board is working to resolve it. The overall Wales figures are also affected. Data may be revised in the next publication. There was a data quality issue during the quarter Jan-Mar 2024. There was strike action by health visitors on 26th February 2024 in Cwm Taf Morgannwg University Health board which included not inputting any statistical data for the health board or Welsh Government. This may have affected figures for the quarter January to March 2024.

These indicators are designed to accompany the SHMI publication. The SHMI methodology does not make any adjustment for patients who are recorded as receiving palliative care. This is because there is considerable variation between trusts in the way that palliative care is recorded. Contextual indicators on the percentage of provider spells and deaths reported in the SHMI where palliative care was recorded at either treatment or specialty level are produced to support the interpretation of the SHMI. Notes: 1. As of the July 2020 publication, COVID-19 activity has been excluded from the SHMI. The SHMI is not designed for this type of pandemic activity and the statistical modelling used to calculate the SHMI may not be as robust if such activity were included. Activity that is being coded as COVID-19, and therefore excluded, is monitored in the contextual indicator 'Percentage of provider spells with COVID-19 coding' which is part of this publication. 2. Please note that there has been a fall in the overall number of spells due to COVID-19 impacting on activity from March 2020 onwards and this appears to be an accurate reflection of hospital activity rather than a case of missing data. Further information is available in the contextual indicator ‘Provider spells compared to the pre-pandemic period’ which is part of this publication. 3. Day cases and regular day attenders are excluded from the SHMI. However, some day cases for University College London Hospitals NHS Foundation Trust (trust code RRV) have been incorrectly classified as ordinary admissions meaning that they have been included in the SHMI. Maidstone and Tunbridge Wells NHS Trust (trust code RWF) has submitted a number of records with a patient classification of ‘day case’ or ‘regular day attender’ and an intended management value of ‘patient to stay in hospital for at least one night’. This mismatch has resulted in the patient classification being updated to ‘ordinary admission’ by the Hospital Episode Statistics (HES) data cleaning rules. This may have resulted in the number of ordinary admissions being overstated. The trust has been contacted to clarify what the correct patient classification is for these records. Values for these trusts should therefore be interpreted with caution. 4. There is a shortfall in the number of records for Royal Free London NHS Foundation Trust (trust code RAL) and Northern Care Alliance NHS Foundation Trust (trust code RM3). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 5. A proposed merger between Northern Devon Healthcare NHS Trust (trust code RBZ) and Royal Devon and Exeter NHS Foundation Trust (trust code RH8) was due to take place on 1 April 2022. The new trust name and code is yet to be confirmed. Please note that separate indicator values have been produced for these organisations for this publication. When we receive confirmation of the new trust name and code we will reflect the new organisation structure within future publications. 6. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of the publication page.

In 2025, out of the 395 thousand registered doctors in the United Kingdom, 202 thousand were men and 193 thousand were women. There was a more pronounced gender gap among specialist doctors in the UK, with 69 thousand men to nearly 44 thousand women qualified on the specialist register. Although on the GP register, women outnumber men with over 45 thousand female GPs to nearly 35 thousand male GPs. Gender distribution of UK doctors by age While there are more male doctors than female doctors in total, the gender distribution of doctors in the UK looks different depending on the age group. Female doctors outnumber their male counterpart in all age groups under 45 years old. Therefore, as more doctors retire, the proportion of female doctors will increase. Worldwide make-up of doctors in the UK Although the majority of medical practitioners in the UK received their medical qualification from within the UK, there is still a significant number of doctors who graduated outside the UK. As of 2024, some 10 percent of registered doctors in the UK are from the European Economic Area (EEA) while a further third are international medical graduates (IMG) indicating the reliance of the NHS on immigration to support the organization’s workforce.

Of the people who have had an acute stroke, the percentage that spend 90% or more of their hospital inpatient stay on a stroke unit. October 2022: This is the last CCGOIS publication. All Clinical Commissioning Groups (CCGs) were statutorily abolished on the 1 July 2022, and from this point all statutory obligations are managed by the Integrated Care Boards (ICBs). ICBs were established as statutory bodies from July 2022 and succeed Sustainability and Transformation Partnerships (STPs). These came into effect on 1 July 2022. A transition phase has been implemented from 1 July 2022, during which the 106 Organisation Data Service (ODS) codes that identified CCGs will be temporarily retained, but the names will be changed to identify the ‘Sub ICB Location’. NHS Digital will no longer publish the data for this indicator. All resource files have been removed and replaced with a link to the source organisation, the Sentinel Stroke National Audit Programme (SSNAP). The SSNAP publications are released on an annual basis and the series contains current and historic data periods. To access the data, follow the resource link provided to the SSNAP website which will open on the ‘Results’ tab and on the left hand pane, the ‘CCG/LHB/LCG’ option should be selected. On the right hand side of the pane there is the option to select either ‘Periodic’ or ‘Annual’, please ensure the ‘Annual’ option is selected, this will then update the options available in the drop down list. Select the year of interest and download the file titled ‘CCG/LHB Public Table of Mortality’. Within the downloaded file, the data for the indicator is displayed in the tab titled ‘Public Table(Apr 20xx-Mar 20xx’ Legacy unique identifier: P01855

Notes:

By September 2024, the vacancy rate of medical and dental staff was estimated to reached over 10 percent. This staff group has been the one with the highest vacancy rate over the period analyzed, followed by the registered nursing, midwifery and health visiting staff vacancy rate, which used to be the highest at almost 8.8 percent at the end of 2022, but has steadily decreased to six percent over the analyzed period.

Black people were 3.5 times more likely to be detained than white people under the Mental Health Act in the year to March 2023.

Patients undergoing elective inpatient surgery for hip and knee replacement, funded by the English NHS are asked to complete questionnaires before and after their operations to assess improvement in health as perceived by the patients themselves. This publication is for Finalised Patient Reported Outcome Measures (PROMs) in England - April 2023 to March 2024. It is possible that the response rates could still be impacted by the COVID-19 pandemic. The response levels may be also been impacted by a reduction in resource at NHSE in recent years. We will monitor the number questionnaires arriving to late for this publication and will consider revising key figures if a large volume are received. In analysing outcomes driven by the difference in pre-operative and post-operative questionnaires, please note that some data breakdowns or analyses are dependent on questionnaire pairs being linked to operations in Hospital Episode Statistics (HES) while others are not. As shown in the data quality section, not all questionnaire pairs link to HES, for reasons including correct patient identifiers not being returned or data inconsistencies. This means that the breakdowns that are dependent on linkage to HES, including by primary/revision, commissioner, or any casemix adjusted score comparisons will have lower totals than those not dependent on linkage to HES such as grand totals or some provider-level outputs. In addition, the report presents both adjusted and non-adjusted figures and this should be borne in mind when summarising any findings. There may also be some disparities in the way figures are calculated across products. *** Update 20/3/25: We are currently investigating some issues with the way the modelled records are constructed and will provide an update in due course. A small number of provider and site codes rolled out in the last few years, particularly those in the ANANA format, are not recognised or correctly processed by the system and they are mapped inconsistently to codes for different publication measures. They are typically given an organisation name of unknown in the interest of making the data available in a timely manner. Subject to user demand, we anticipate that the system will be developed to address this issue ahead of subsequent publications. *** The Summary Comparison Tool published on the 13th February 2025 contained missing formula for pre-operative participation and linkage rate and post-operative issue and response rate in the Key Facts tab. The formulas have now been reintroduced and corrected (19th February 2025).

Healthcare workers (HCWs) are known to be at increased risk of infection with SARS-CoV-2, although whether these risks are equal across all roles is uncertain. Here we report a retrospective analysis of a large real-world dataset obtained from 10 March to 6 July 2020 in an NHS Foundation Trust in England with 17,126 employees. 3,338 HCWs underwent symptomatic PCR testing (14.4% positive, 2.8% of all staff) and 11,103 HCWs underwent serological testing for SARS-CoV-2 IgG (8.4% positive, 5.5% of all staff). Seropositivity was lower than other hospital settings in England but higher than community estimates. Increased test positivity rates were observed in HCWs from BAME backgrounds and residents in areas of higher social deprivation. A multiple logistic regression model adjusting for ethnicity and social deprivation confirmed statistically significant increases in the odds of testing positive in certain occupational groups, most notably domestic services staff, nurses, and health-care assistants. PCR testing of symptomatic HCWs appeared to underestimate overall infection levels, probably due to asymptomatic seroconversion. Clinical outcomes were reassuring, with only a small minority of HCWs with COVID-19 requiring hospitalization (2.3%) or ICU management (0.7%) and with no deaths. Despite a relatively low level of HCW infection compared to other UK cohorts, there were nevertheless important differences in test positivity rates between occupational groups, robust to adjustment for demographic factors such as ethnic background and social deprivation. Quantitative and qualitative studies are needed to better understand the factors contributing to this risk. Robust informatics solutions for HCW exposure data are essential to inform occupational monitoring.

The vcancy rate in Northern Ireland's HSC has fluctuated over the period analized from 5.4 percent recorded at the end of 2017's first quarter, and reaching up to 9.7 percent at the end of 2022. At the end of 2024, the total vacancy rate reached 6.7 percent.