During the financial year 2023/24, the busiest hospital provider in England was the ************************************************ with over *** thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second-busiest trust this year was the ******************************************, with approximately *** thousand admissions. Accident and emergency admissionsFrom April to June 2023, there were around *** million accident and emergency (A&E) attendees (including at A&E departments not in hospitals) in England. After the drop in A&E attendances during the COVID-pandemic, numbers have risen again to previous levels, with a trend towards an increasing number of individuals seeking emergency care. Over ***** percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over **** percent were diagnosed with a respiratory infection. Furthermore, *** percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched. Waiting too longOver the last few years in the A&E department, the NHS has been falling behind the target that ** percent of patients should be seen within **** hours of arrival. The last time this target was reached was back in July 2015. Not just the A&E department, but other services also require lengthy waits. It is no wonder that the ******** of respondents surveyed were fairly or very dissatisfied with the length of wait for many aspects of NHS care. Moreover, in general, levels of satisfaction with the way NHS runs is at an all-time low.
In 2023, 64 percent of services received at NHS acute hospitals were considered good, whereas 25 percent required improvement. This statistic displays the overall rating of NHS acute hospitals core services in England as of August 2023.
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Hospital Episodes Statistics (HES) is a data warehouse containing records of all patients admitted to NHS hospitals in England. It contains details of every hospital stay in English NHS Hospitals and English NHS commissioned activity in the independent sector. The Kennedy report recommended that HES should be "supported as a major national resource for the monitoring of a range of healthcare outcomes". Note: (04/02/13) An update to the Hospital Episode Statistics: Admitted Patient Care 2011-12 Summary Report has been published. Chart 3 has been updated to include 2011-12 data. Note: (28/01/13) An update to the Hospital Episode Statistics: Admitted Patient Care 2011-12 Summary Report has been published. This updates and corrects the 2011-12 figure for bariatric surgery for obesity to include new OPCS 4.6 procedure codes that were introduced in April 2011
In 2022, there were an estimated 2,001 hospitals in the United Kingdom. The number of hospitals in the UK had been declining prior to 2015, standing at 1,568 in 2014, before slightly rising again in the subsequent years.
Healthcare indicators
Expenditure on health in the UK amounted to 11.3 percent of the GDP in 2022. This proportion has been increasing since 2000, with 2020 and 201 being outliers. The pressure on general practices has been increasing in the UK in the last ten years. In 2016, there were 7.8 thousand patients to each GP practice on average in the NHS England. By 2023 it came to ten thousand patients to a practice.
Opinion of healthcare in the country
The quality of British healthcare is still generally regarded as good by the majority. In a survey of nine European countries, 58 percent of British respondents rated the quality of their accessible healthcare as good, while only 14 percent regarded it as poor. This was the fifth place among countries surveyed, down from its top spot in 2018, when 73 percent of the public gave good rating. Similarly, 58 percent of Brits surveyed trusted the treatment offered, compared to only 18 percent who did not.
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Crude rate of cost of admissions for alcohol-related conditions (Broad definition) per head of population.
Rationale Alcohol misuse across the UK is a significant public health problem with major health, social, and economic consequences. This indicator aims to highlight the impact of alcohol-related conditions on inpatient hospital services in England. High costs of alcohol-related admissions are indicative of poor population health and high alcohol consumption. This indicator highlights the resource implications of alcohol-related conditions and supports the arguments for local health promotion initiatives. Publication of this indicator will allow national and local cost estimates to be updated and consistently monitored going forward. This measure accounts for just one aspect of the cost of alcohol to society, but there are others such as primary care, crime, ambulatory services, and specialist treatment services as well as broader costs such as unemployment and loss of productivity.
The Government has said that everyone has a role to play in reducing the harmful use of alcohol. This indicator is one of the key contributions by the Government (and the Department of Health and Social Care) to promote measurable, evidence-based prevention activities at a local level, and supports the national ambitions to reduce harm set out in the Government's Alcohol Strategy. This ambition is part of the monitoring arrangements for the Responsibility Deal Alcohol Network. Alcohol-related admissions can be reduced through local interventions to reduce alcohol misuse and harm.
References: (1) PHE (2020) The Burden of Disease in England compared with 22 peer countries https://www.gov.uk/government/publications/global-burden-of-disease-for-england-international-comparisons/the-burden-of-disease-in-england-compared-with-22-peer-countries-executive-summary
Definition of numerator The total cost (£s) of alcohol-related admissions (Broad). Admissions to hospital where the primary diagnosis is an alcohol-related condition, or a secondary diagnosis is an alcohol-related external cause.
More specifically, hospital admissions records are identified where the admission is a finished episode [epistat = 3]; the admission is an ordinary admission, day case or maternity [classpat = 1, 2 or 5]; it is an admission episode [epiorder = 1]; the sex of the patient is valid [sex = 1 or 2]; there is a valid age at start of episode [startage between 0 and 150 or between 7001 and 7007]; the region of residence is one of the English regions, no fixed abode or unknown [resgor <= K or U or Y]; the episode end date [epiend] falls within the financial year, and an alcohol-attributable ICD10 code appears in the primary diagnosis field [diag_01] or an alcohol-related external cause code appears in any diagnosis field [diag_nn].
For each episode identified, an alcohol-attributable fraction is applied to the primary diagnosis field or an alcohol-attributable external cause code appears in one of the secondary codes based on the diagnostic codes, age group, and sex of the patient. Where there is more than one alcohol-related ICD10 code among the 20 possible diagnostic codes, the code with the largest alcohol-attributable fraction is selected; in the event of there being two or more codes with the same alcohol-attributable fraction within the same episode, the one from the lowest diagnostic position is selected. For a detailed list of all alcohol-attributable diseases, including ICD 10 codes and relative risks, see ‘Alcohol-attributable fractions for England: an update’ (2). Alcohol-related hospital admission episodes were extracted from HES according to the Broad definition and admissions flagged as either elective or non-elective based on the admission method field.
The cost of each admission episode was calculated using the National Cost Collection (published by NHS England) main schedule dataset for the corresponding financial year applied to elective and non-elective admission episodes. The healthcare resource group (HRG) was identified using the HES field SUSHRG [SUS Generated HRG], which is the SUS PbR derived HRG code at episode level. Healthcare Resource Groups (HRGs) are standard groupings of clinically similar treatments which use common levels of healthcare resource. The elective admissions were assigned an average of the elective and day-case costs. The non-electives were assigned an average of the non-elective long stay and non-elective short stay costs. Where the HRG was not available or did not match the National Reference Costs look-up table, an average elective or non-elective cost was imputed. This may result in the cost of these admissions being underestimated. For each record, the AAF was multiplied by the reference cost and the resulting values were aggregated by the required output geographies to provide numerators for the cost per capita indicator.
References: (2) PHE (2020) Alcohol-attributable fractions for England: an update https://www.gov.uk/government/publications/alcohol-attributable-fractions-for-england-an-update
Definition of denominator Mid-year population estimates.
Caveats Not all alcohol-related conditions require inpatient services, so this indicator is only one measure of the alcohol-related health problems in each local area. However, inpatient admissions are easily monitored, and this indicator provides local authorities with a routine method of monitoring the health impacts of alcohol in their local populations.
The Healthcare Resource Group cost assigned to each hospital admission is for the initial admission episode only and doesn’t include costs related to alcohol in any subsequent episodes in the hospital spell. Where the HRG was not available or did not match the National Reference Costs look-up table, an average elective or non-elective cost was imputed. This may result in the cost of these admissions being underestimated. It must be noted that the numerator is based on the financial year and the denominator on calendar mid-year population estimates, e.g., 2019/20 admission rates are constructed from admission counts for the 2019/20 financial year and mid-year population estimates for the 2020 calendar year. Data for England includes records with geography 'No fixed abode'. Alcohol-attributable fractions were not available for children. Conditions where low levels of alcohol consumption are protective (have a negative alcohol-attributable fraction) are not included in the calculation of the indicator. This does not include attendance at Accident and Emergency departments. Hospital Episode Statistics overall is well completed. However, year-on-year variations exist due to poor completion from a proportion of trusts.
Analysis has revealed significant differences across the country in the coding of cancer patients in the Hospital Episode Statistics. In particular, in some areas, regular attenders at hospital for treatments like chemotherapy and radiotherapy are being incorrectly recorded as ordinary or day-case admissions. Since cancer admissions form part of the overarching alcohol-related admission national indicators, the inconsistent recording across the country for cancer patients has some implication for these headline measures.
Cancer admissions make up approximately a quarter of the total number of alcohol-related admissions. Analysis suggests that, although most Local Authorities would remain within the same RAG group compared with the England average if cancer admissions were removed, the ranking of Local Authorities within RAG groups would be altered. We are continuing to monitor the impact of this issue and to consider ways of improving the consistency between areas. The COVID-19 pandemic had a large impact on hospital activity with a reduction in admissions in 2020 to 2021. Because of this, NHS Digital has been unable to analyse coverage (measured as the difference between expected and actual records submitted by NHS Trusts) in the normal way. There may have been issues around coverage in some areas which were not identified as a result.
In the fourth quarter of 2018/19, less than 63 percent of patients who attended the accident and emergency (A&E) department in the Nottingham University Hospitals NHS Trust were seen within four hours of their arrival. Nottingham University Hospitals was the provider with the lowest share of patients seen within four hours in this time period, and as with the rest of the providers shown in the chart, well below the NHS target that 95 percent of patients should be seen within four hours of arrival to A&E.
Between July and September 2019, there were almost 1.5 million admissions to NHS hospitals in England. Over the provided time interval, that is the quarter with the highest number of admissions.
Busiest hospitals in England
During the financial year 2018/19, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with almost 393.6 thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second busiest trust in this year was the Manchester University Foundation Trust with approximately 315.7 thousand admissions.
Emergency admissions
In the period 2018/19, there were over six million accident and emergency (A&E) attendees in each quarter of the year in England. Prior to 2017/18, no previous quarter in England since 2012 had reached six million A&E attendances, indicating an increasing number of individuals are seeking emergency care. Approximately 5.1 percent of A&E attendees in England in 2018/19 were primarily diagnosed with a dislocation, fracture, joint injury, or an amputation, followed by 5 percent diagnosed with a respiratory condition. Although 4.7 percent were found to have ‘nothing abnormal detected’ which could be detrimental to a service that is already stretched.
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Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England. Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set. HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: private patients treated in NHS hospitals patients resident outside of England care delivered by treatment centres (including those in the independent sector) funded by the NHS Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including: clinical information about diagnoses and operations patient information, such as age group, gender and ethnicity administrative information, such as dates and methods of admission and discharge geographical information such as where patients are treated and the area where they live We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-outpatient-activity
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Improving outcomes for people with multiple long term conditions is a priority as set out in the NHS long term plan. ADMISSION is a Research Collaborative funded by UK Research and Innovation and the National Institute for Health Research and Care Research that brings together scientists, clinicians and patients from five UK universities and hospitals (Newcastle University and Newcastle Hospitals NHS Foundation Trust, University of Birmingham (PIONEER – the Health Data Research UK Acute Care Hub), Manchester Metropolitan University, University of Dundeeand University College London) to transform understanding of multiple long-term conditions in hospital patients.
As part of this, PIONEER has curated a highly granular dataset of 119,815 unique hospitalised patients focusing on the impact of multiple long term conditions. The data includes admission details, demography, initial presentation, presenting symptoms, diagnoses, treatments, therapy, medications, imaging, wards, investigations, procedures, operations and outcomes. The current dataset includes admissions from 01-01-2000 to 07-02-2024 but can be expanded to assess other timelines of interest.
Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.
Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.
Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.
Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.
https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/
OMOP dataset: Hospital COVID patients: severity, acuity, therapies, outcomes Dataset number 2.0
Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases & more than 1.5 million deaths worldwide. Some individuals experience severe manifestations of infection, including viral pneumonia, adult respiratory distress syndrome (ARDS) & death. There is a pressing need for tools to stratify patients, to identify those at greatest risk. Acuity scores are composite scores which help identify patients who are more unwell to support & prioritise clinical care. There are no validated acuity scores for COVID-19 & it is unclear whether standard tools are accurate enough to provide this support. This secondary care COVID OMOP dataset contains granular demographic, morbidity, serial acuity and outcome data to inform risk prediction tools in COVID-19.
PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 & 2.
EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. UHB has cared for >5000 COVID admissions to date. This is a subset of data in OMOP format.
Scope: All COVID swab confirmed hospitalised patients to UHB from January – August 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.
Available supplementary data: Health data preceding & following admission event. Matched “non-COVID” controls; ambulance, 111, 999 data, synthetic data. Further OMOP data available as an additional service.
Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
In May 2025, less than half of attendances in the accident and emergency (A&E) department in the Shrewsbury and Telford Hospital NHS Trust were seen within **** hours of their arrival. The Shrewsbury and Telford Hospital NHS Trust was the provider with the lowest share of patients seen within **** hours in this time period, and as with the rest of the providers shown in the chart, well below the NHS target that ** percent of patients should be seen within **** hours of arrival to A&E. It has been a long time since the target of 95 percent was last achieved by all NHS England providers.
The total number of admissions to private/independent hospitals or clinics in the United Kingdom has increased in 2024 for the ****** consecutive year to ******* episodes, despite the dip in numbers in 2020. Ireland saw the largest growth in terms of percentage increase, with an **** percent increase in 2024 compared to the previous year. England, of course, saw the largest absolute increase in number of admissions in the private sector.
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This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and other core organisations in England (excluding primary care staff). Data are available as headcount and full-time equivalents and for all months from 30 September 2009 onwards. These data are a summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and other core organisations and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December/January (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings, monthly NHS Staff Sickness Absence reports, and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. 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@nhsdigital.nhs.uk or 0300 303 5678.
The NHS is split into primary care - a first point of contact - usually provided by GPs, dentist and pharmacists, secondary 'hospital and community' care, and tertiary care such as specialized treatment e.g. neurosurgery and transplants. Secondary and tertiary care are provided by NHS providers. During the financial year 2020/21, there were a total of 219 NHS providers. The majority of these providers provide acute services such as accident and emergency care. This statistic shows the number of National Health Service (NHS) providers in the United Kingdom during 2020/21, by service.
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Each year, there are audits to assess maternal & foetal outcomes across the UK. In 2016-18, 217 women died during or up to six weeks after pregnancy, from causes associated with their pregnancy, among 2,235,159 women giving birth in the UK. 9.7 women per 100k died during pregnancy or up to six weeks after childbirth or the end of pregnancy. There was an increase in the overall maternal death rate in the UK between 2013-15 & 2016-18. Assessors judged that 29% of women who died had good care. However, improvements in care which may have made a difference to the outcome were identified for 51% of women who died. Birmingham has a higher than average maternal & foetal death rate. This dataset includes detailed information about the reasons pregnant women seek acute care, & their care pathways & outcomes. PIONEER geography: The West Midlands (WM) has a population of 5.9m & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has the youngest population in the UK with a higher than average birth rate. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. 51.2% of babies born in Birmingham have at least one parent born outside of the UK, this compares with 34.7% for England. Each day >100k people are treated in hospital, see their GP or are cared for by the NHS. EHR: University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Scope: Pregnant or post-partum women from 2015 onwards who attended A&E in Queen Elizabeth hospital. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics (including gestation & postpartum period), co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (admissions, wards, practitioner changes & discharge outcomes), presenting complaints, physiology readings (temperature, blood pressure, NEWS2, SEWS, AVPU), referrals, all prescribed & administered treatments & all outcomes. Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 data, synthetic data. Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
During the financial year 2023/24, the busiest emergency department in England was the ************************************************* with over *** thousand emergency admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second-busiest trust that year was the ****************************************, with approximately *** thousand admissions.
In 2015/16 there were approximately 2.36 million adults admitted to hospital in England due to an illness caused by smoking. By 2022/23 the number of hospital admissions as a result of smoking had increased to approximately 2.54 million, the largest number during the provided time period. Smoking prevalence across age groups in England In England in 2022, 21 percent of men and 15 percent of women aged between 25 and 34 years were current smokers. This is the highest share of male smokers across the age groups, while the age group of 45 to 54 years had the second-largest proportion of female smokers at 18 percent. Situation north of the border In Scotland, the share of regular smokers was quite evenly distributed among all ages, except for those aged over 75 years who were smoking less. In 2023, 16 percent of men and 13 percent of women overall in Scotland were current smokers.
In 2022, NHS Northumberland CCG ranked highest in England with a health index score of ****, followed by North Yorkshire CCG and South Tyneside CCG with scores of **** and **** respectively. The health index score was calculated by measuring fifteen healthcare metrics relevant to costs, advanced technology and appointment availability, and satisfaction levels.
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This is a publication on Accident and Emergency (A&E) activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2022. It contains final data and replaces the provisional data that are published each month. This is a joint publication between NHS Digital and NHS England. This collaboration enables data to be brought together from different sources enabling inclusion of a wider set of breakdowns and measures and a more complete picture to be presented. The data sources for this publication are the Emergency Care Data Set (ECDS) for2020-21 and 2021-22, HES A&E for activity prior to 2020-21 and the A&E Attendances and Emergency Admissions Monthly Situation Reports (MSitAE). This is the second year this report has been produced using ECDS in its submitted format, replacing the use of Hospital Episode Statistics (HES). Further information is available in the Data Quality Statement. The ECDS data set contains several new and additional reporting fields not previously available in HES A&E enabling new insights to be identified from data. Reported information based on these new splits and metrics presented within the report are presented as Experimental Statistics and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. This publication releases some high level analyses of both ECDS/HES and MSitAE data relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. It 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 re-attendances to A&E within 7 days. The following additional analyses are also included in this report: • Comparison of 4 hour and 12 hour waits between the four home nations, England, Scotland, Northern Ireland and Wales • A&E attendances by Index of Multiple Deprivation (IMD) • A&E attendances by ethnicity • Weekly variation in attendance activity during the pandemic, by department type
This statistic displays the most important factors that contributed to increased workload for doctors and nurses in the United Kingdom (UK) in 2017. Staff shortages were the most important factor that the respondents determined for their increased workload.
During the financial year 2023/24, the busiest hospital provider in England was the ************************************************ with over *** thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second-busiest trust this year was the ******************************************, with approximately *** thousand admissions. Accident and emergency admissionsFrom April to June 2023, there were around *** million accident and emergency (A&E) attendees (including at A&E departments not in hospitals) in England. After the drop in A&E attendances during the COVID-pandemic, numbers have risen again to previous levels, with a trend towards an increasing number of individuals seeking emergency care. Over ***** percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over **** percent were diagnosed with a respiratory infection. Furthermore, *** percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched. Waiting too longOver the last few years in the A&E department, the NHS has been falling behind the target that ** percent of patients should be seen within **** hours of arrival. The last time this target was reached was back in July 2015. Not just the A&E department, but other services also require lengthy waits. It is no wonder that the ******** of respondents surveyed were fairly or very dissatisfied with the length of wait for many aspects of NHS care. Moreover, in general, levels of satisfaction with the way NHS runs is at an all-time low.