On March 31, 2024, there were 50 critical care (CC) beds in England occupied with patients who had tested positive for COVID-19. The number of critical care beds occupied with COVID patients peaked in England on January 22, 2021 when 4,096 patients required critical care treatment. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This data package contains the hospital bed availability and occupancy data by consultant main specialty and sector as well as data on inpatient and outpatient related hospital activity in England. It also contains information on Sub-Saharan public hospitals.

Bed availability and bed occupancy.

Source agency: NHS England

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Bed availability and occupancy

Virtual wards (also known as hospital at home) allow patients to get the care they need at home safely and conveniently, rather than being in hospital. This includes either preventing avoidable hospital admissions or supporting people to safely leave hospital sooner. Systems are asked to continue to embed, standardise and scale virtual ward capacity, ensuring that local virtual ward services are aligned to local demand for both children and adults. This is outlined in the 2025/26 Priorities and Operational Planning Guidance and the Neighbourhood Health Guidelines 2025/26. This data is published on the NHS England website. Please follow the link below.

Wave-one transmission rate estimates use data captured during the first wave only, whereas wave-two uses rates were estimated using data captured from the whole epidemic (see main text for further details). The final interval ended on 31st December 2020.

This is the latest compendium publication in the NHS Vacancy Statistics series containing vacancy related data for the NHS which provide different views on recruitment information for the NHS. Data from NHS Jobs, the Electronic Staff Record (ESR) and Trac Recruitment Management Software (Trac) provide a range of proxy data sources for NHS vacancies. The series also includes management information related to vacancies within the NHS which have been collected by NHS England (NHSE). Due to the complex nature of how NHS vacancy data is defined and collected, all data sources should be treated with a degree of caution. Users should note these data do not indicate how much of the reported substantive gap is filled by temporary staff. NHS England is currently developing guidance for NHS Trusts regarding the recording of Establishment numbers (planned and funded workforce levels), which are used in the calculation of vacancy rates. This is to ensure that these figures are recorded consistently by Trusts and provide a more accurate figure of establishment and therefore vacancy rates. This work may also consider the collection and presentation of data on the temporary staff who are employed by Trusts, to enhance existing vacancy data and information. To help with the development of this publication, feedback can be sent to: enquiries@nhsdigital.nhs.uk with the subject heading ‘NHS Vacancy Statistics publication feedback’.

Objective: to investigate factors associated with unscheduled admission following presentation to Emergency Departments (EDs) at three hospitals in England. Design and setting: cross-sectional analysis of attendance data for patients from three urban EDs in England: a large teaching hospital and major trauma centre (Site 1), and two district general hospitals (Sites 2 and 3). Variables included: patient age, gender, ethnicity, deprivation score, arrival date and time, arrival by ambulance or otherwise, a variety of ED workload measures, inpatient bed occupancy rates and admission outcome. Coding inconsistencies in routine ED data used for this study meant that diagnosis could not be included. Outcome measure: The primary outcome for the study was unscheduled admission. Participants: all adults aged 16 and over attending the three inner London EDs in December 2013. Data on 19,734 unique patient attendances were gathered. Results: outcome data were available for 19,721 attendances (>99%), of whom 6,263 (32%) were admitted to hospital. Site 1 was set as the baseline site for analysis of admission risk. Risk of admission was significantly greater at Sites 2 and 3 (AOR relative to Site 1 for Site 2 was 1.89, 95% CI 1.74-2.05, p<0.001), and for patients of black or black British ethnicity (1.29, 1.16-1.44, p<0.001). Deprivation was strongly associated with admission. Analysis of departmental and hospital-wide workload pressures gave conflicting results, but proximity to the "four-hour target" (a rule that limits patient stays in EDs to four hours in the NHS in England) emerged as a strong driver for admission in this analysis (3.61, 3.30-3.95, p<0.001). Conclusion: this study found statistically significant variations in odds of admission between hospital sites when adjusting for various patient demographic and presentation factors, suggesting important variations in ED- and clinician-level behaviour relating to admission decisions. The four-hour target is a strong driver for emergency admission.

This statistic displays the total turnover for hospital activities in the period in the United Kingdom from 2008 to 2022. The graphic shows that in 2022, there was a total turnover of nearly *** billion British pounds.

This publication was archived on 12 October 2023. Please see the Viral Respiratory Diseases (Including Influenza and COVID-19) in Scotland publication for the latest data. This dataset provides information on number of new daily confirmed cases, negative cases, deaths, testing by NHS Labs (Pillar 1) and UK Government (Pillar 2), new hospital admissions, new ICU admissions, hospital and ICU bed occupancy from novel coronavirus (COVID-19) in Scotland, including cumulative totals and population rates at Scotland, NHS Board and Council Area levels (where possible). Seven day positive cases and population rates are also presented by Neighbourhood Area (Intermediate Zone 2011). Information on how PHS publish small are COVID figures is available on the PHS website. Information on demographic characteristics (age, sex, deprivation) of confirmed novel coronavirus (COVID-19) cases, as well as trend data regarding the wider impact of the virus on the healthcare system is provided in this publication. Data includes information on primary care out of hours consultations, respiratory calls made to NHS24, contact with COVID-19 Hubs and Assessment Centres, incidents received by Scottish Ambulance Services (SAS), as well as COVID-19 related hospital admissions and admissions to ICU (Intensive Care Unit). Further data on the wider impact of the COVID-19 response, focusing on hospital admissions, unscheduled care and volume of calls to NHS24, is available on the COVID-19 Wider Impact Dashboard. Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. Clinical presentation may range from mild-to-moderate illness to pneumonia or severe acute respiratory infection. COVID-19 was declared a pandemic by the World Health Organisation on 12 March 2020. We now have spread of COVID-19 within communities in the UK. Public Health Scotland no longer reports the number of COVID-19 deaths within 28 days of a first positive test from 2nd June 2022. Please refer to NRS death certificate data as the single source for COVID-19 deaths data in Scotland. In the process of updating the hospital admissions reporting to include reinfections, we have had to review existing methodology. In order to provide the best possible linkage of COVID-19 cases to hospital admissions, each admission record is required to have a discharge date, to allow us to better match the most appropriate COVID positive episode details to an admission. This means that in cases where the discharge date is missing (either due to the patient still being treated, delays in discharge information being submitted or data quality issues), it has to be estimated. Estimating a discharge date for historic records means that the average stay for those with missing dates is reduced, and fewer stays overlap with records of positive tests. The result of these changes has meant that approximately 1,200 historic COVID admissions have been removed due to improvements in methodology to handle missing discharge dates, while approximately 820 have been added to the cumulative total with the inclusion of reinfections. COVID-19 hospital admissions are now identified as the following: A patient's first positive PCR or LFD test of the episode of infection (including reinfections at 90 days or more) for COVID-19 up to 14 days prior to admission to hospital, on the day of their admission or during their stay in hospital. If a patient's first positive PCR or LFD test of the episode of infection is after their date of discharge from hospital, they are not included in the analysis. Information on COVID-19, including stay at home advice for people who are self-isolating and their households, can be found on NHS Inform. Data visualisation of Scottish COVID-19 cases is available on the Public Health Scotland - Covid 19 Scotland dashboard. Further information on coronavirus in Scotland is available on the Scottish Government - Coronavirus in Scotland page, where further breakdown of past coronavirus data has also been published.

This statistic shows the number of VAT trader and PAYE employer enterprises dealing in hospital activities in the United Kingdom (UK) in 2022 and 2023, by turnover size band. In 2023, 210 enterprises had a turnover of more than 50 million British pounds.

Provisional monthly figures for headcount, full time equivalent, role count and turnover of NHS Hospital and Community Health Service (HCHS) staff groups working in England (excluding primary care staff). This month, the quarterly supplemental publication will include: • Time series of workforce numbers (headcount and FTE) by organisation • Medical grades by organisation • Non-medical staff groups by organisation • Turnover by organisation • Time series of quarterly turnover at national and regional level • Redundancy figures at a National level by staff group. This will include voluntary redundancies alongside compulsory redundancies. As expected with provisional statistics, some figures may be revised from month to month as issues are uncovered and resolved. No refreshes of the provisional data will take place either as part of the regular publication process, or where minor enhancements to the methodology have an insignificant impact on the figures at a national level. However, the provisional status allows for this to occur if it is determined that a refresh of data is required subsequent to initial release. Where a refresh of data occurs, it will be clearly documented in the publications. The monthly publication is an accurate summary of the validated data extracted from the NHS's HR and Payroll system. It has a provisional status as the data may change slightly over time where trusts make updates to their live operational systems. Given the size of the NHS workforce and the changing composition, particularly during this period of transition, it is likely that we will see some additional fluctuations in the workforce numbers over the next few months reflecting both national and local changes as a result of the NHS reforms. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating 'Monthly HCHS Workforce' as the subject heading, via enquiries@hscic.gov.uk or 0845 300 6016.

Psychiatric crisis care is under great pressure, with the number of psychiatric presentations to emergency departments increasing and inpatient wards operating with occupancy rates above recommended levels. Internationally, hospital-based short-stay crisis units (named Psychiatric Decision Units; (PDU) in the UK) have been introduced to address these challenges, but the current evidence for their effectiveness is limited. We estimated the effects of PDUs in four geographic locations in England, linked to three National Health Service (NHS) mental health trusts and six NHS acute hospital trusts. Using national data sets to create synthetic controls from areas without PDUs (following the generalised synthetic control method), we estimated trust-wide changes to the primary outcomes of psychiatric inpatient admissions and psychiatric presentations to emergency departments (ED), compared to the synthetic controls, alongside secondary outcomes. We used meta-analysis to robustly combine outcomes. We analysed NHS hospital activity data for adults aged between 18 and 75 years covering 24 months preceding and following the introduction of each PDU (November 2012 to January 2021). We found no significant impacts of PDUs on primary outcomes, except at Sheffield Teaching Hospitals NHS Foundation Trust with 1.5 fewer psychiatric presentations to ED per 10,000 trust population per month (relative difference: 24.9%, p = 0.034) than the synthetic control. We found mixed effects of the opening of PDUs on secondary outcomes. Meta-analyses indicated a significantly lower mean length of stay for psychiatric admissions (-6.4 days, p 

This statistic shows the number of VAT trader and PAYE employer enterprises dealing in specialist medical practice activities in the United Kingdom (UK) in 2022 to 2023, by turnover size band. In both years shown, 10 enterprises had a turnover of between five and ten million British pounds.

Due to current resource constraints and organisational changes at NHS Digital, the Workforce Team are having to focus on priority areas of work whilst new and additional requests for work continue to grow. Therefore, during this period of change, the scope of the next two publications in the series (due for release at the end of November 2019 and February 2020) will be considerably reduced. These upcoming publications will therefore be limited to include: High-level Key Facts for NHS Jobs data The standard CSV file for NHS Jobs data which normally accompanies the publication A truncated Excel file containing NHS Improvement management information only During this pause, NHS Digital will work on making improvements to the publication, primarily focusing on working with TRAC to incorporate their data into the compendium publication for the first time in May 2020; exploring what more can be done with data from ESR; and improving the NHS Jobs data tables. Please refer to previous publications in the series for more detailed information. To help with the development of this publication, feedback is continually welcomed and can be sent to: enquiries@nhsdigital.nhs.uk with the subject heading ‘NHS Vacancy Statistics publication feedback’.

This is the third provisional experimental publication of NHS vacancy statistics created from administrative data related to published vacancy adverts obtained from NHS Jobs, the main recruitment website for the NHS. The statistics referred to in this document and the accompanying tables are exploratory and provide information on the administrative data available from NHS Jobs as much as on the recruitment of staff. This publication provides figures which are an insight to recruitment in the NHS but which should be treated with caution, though the expanded time series may now begin to allow users to consider relative changes over time. This publication incorporates feedback received in response to the two previous publications and welcomes further input regarding the future development of this publication series.

Please note; NHS Digital is working with NHS Improvement to change the NHS Vacancy Statistics publication into a compendium publication, incorporating both NHS Jobs, ESR and NHS Improvement data in a single publication. This is the latest provisional experimental publication of NHS vacancy statistics created from administrative data related to published vacancy adverts obtained from NHS Jobs, the main recruitment website for the NHS. The statistics referred to in this document and the accompanying tables are exploratory and provide information on the administrative data available from NHS Jobs as much as on the recruitment of staff. This publication provides figures which are an insight to recruitment in the NHS but which should be treated with caution, though the expanded time series now allows users to consider relative changes over time. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating NHS Workforce Vacancy Statistics as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678

This is the latest provisional experimental publication of NHS vacancy statistics created from administrative data related to published vacancy adverts obtained from NHS Jobs, the main recruitment website for the NHS. The statistics referred to in this document and the accompanying tables are exploratory and provide information on the administrative data available from NHS Jobs as much as on the recruitment of staff. This publication provides figures which are an insight to recruitment in the NHS but which should be treated with caution, though the expanded time series now allows users to consider relative changes over time. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating NHS Workforce Vacancy Statistics as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678