73 datasets found
  1. Leading busiest hospitals in England 2022/23, by number of admissions

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Leading busiest hospitals in England 2022/23, by number of admissions [Dataset]. https://www.statista.com/statistics/504252/leading-busy-hospitals-ranked-by-number-of-admissions-england-uk/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, England
    Description

    During the financial year 2022/23, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with over 333 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 Manchester University NHS Foundation Trust with approximately 298 thousand admissions.

    Accident and emergency admissions

    From April to June 2023, there were around 6.5 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 three percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over four percent were diagnosed with a respiratory infection. Furthermore, 7.4 percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched.

    Waiting too long

    Over the last few years in the A&E department, the NHS has been falling behind the target that 95 percent of patients should be seen within four 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 majority 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.

  2. d

    NHS Workforce Statistics - May 2023 (Including selected provisional...

    • digital.nhs.uk
    Updated Aug 24, 2023
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    (2023). NHS Workforce Statistics - May 2023 (Including selected provisional statistics for June 2023) [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-workforce-statistics
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    Dataset updated
    Aug 24, 2023
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Sep 30, 2009 - May 31, 2023
    Description

    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.

  3. Admissions to NHS hospitals in England, quarterly Q2 2016/17 - Q2 2019/20

    • statista.com
    Updated Nov 30, 2023
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    Admissions to NHS hospitals in England, quarterly Q2 2016/17 - Q2 2019/20 [Dataset]. https://www.statista.com/statistics/504012/number-of-nhs-hospital-admissions-england-uk/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, England
    Description

    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.

  4. d

    SHMI deprivation contextual indicators

    • digital.nhs.uk
    csv, pdf, xls, xlsx
    Updated Dec 9, 2021
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    (2021). SHMI deprivation contextual indicators [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2021-12
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    pdf(244.7 kB), csv(15.1 kB), xls(94.2 kB), csv(12.4 kB), xls(94.7 kB), pdf(244.3 kB), xlsx(117.1 kB)Available download formats
    Dataset updated
    Dec 9, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Aug 1, 2020 - Jul 31, 2021
    Area covered
    England
    Description

    These indicators are designed to accompany the SHMI publication. The SHMI methodology does not make any adjustment for deprivation. This is because adjusting for deprivation might create the impression that a higher death rate for those who are more deprived is acceptable. Patient records are assigned to 1 of 5 deprivation groups (called quintiles) using the Index of Multiple Deprivation (IMD). The deprivation quintile cannot be calculated for some records e.g. because the patient's postcode is unknown or they are not resident in England. Contextual indicators on the percentage of provider spells and deaths reported in the SHMI belonging to each deprivation quintile 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. A large proportion of records for Mid and South Essex NHS Foundation Trust (trust code RAJ) have missing or incorrect information for the main condition the patient was in hospital for (their primary diagnosis) which affects data between April 2020 and March 2021. Due to the impact of this on the underlying SHMI models, all data for this trust has been excluded. Work is ongoing to correct the underlying data for this trust and once complete it will be included in future publications. 4. 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. 5. On 1 October 2021 Pennine Acute Hospitals NHS Trust (trust code RW6) merged with Salford Royal NHS Foundation Trust (trust code RM3). The new trust is called Northern Care Alliance NHS Foundation Trust (trust code RM3). However, as we received notification of this change after data processing for this publication began, separate indicator values have been produced for this publication. This will be updated in future publications to reflect the new organisation structure. 6. There is a shortfall in the number of records for Countess of Chester Hospital NHS Foundation Trust (trust code RJR) meaning that values for this trust are based on incomplete data and should therefore be interpreted with caution. 7. 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.

  5. Acute Trusts: Adult Inpatients Survey, 2018

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2020
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    Picker Institute Europe (2020). Acute Trusts: Adult Inpatients Survey, 2018 [Dataset]. http://doi.org/10.5255/ukda-sn-8693-1
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    Dataset updated
    2020
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Picker Institute Europe
    Description

    The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.

    The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.

    Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.

    History of the programme

    The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.

    Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.

    The Acute Trusts: Adult Inpatients Survey, 2018, was designed to provide actionable feedback to each participating NHS trust on patients' views of the care they had received as inpatients in England. Results are used by CQC in a range of ways, including the assessment of NHS performance as well as in regulatory activities such as registration, monitoring on-going compliance and reviews.

    Further information and publications may be found on the CQC Adult inpatients survey 2018 webpage.

  6. h

    UHB 2019 Summer Society of Acute Medicine Benchmarking Audit

    • healthdatagateway.org
    unknown
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158), UHB 2019 Summer Society of Acute Medicine Benchmarking Audit [Dataset]. https://healthdatagateway.org/dataset/160
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    unknownAvailable download formats
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Background The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA19 is to describe the severity of illness of acute medical patients presenting to Acute Medicine within UK hospitals, speed of assessment, pathway and progress seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’). On average >150 hospitals take part in this audit per year. SAMBA19 summer audit measured adherence to some of the standards for acute medical care. Acute Medical Units work 24-hours per day and 365 days a year. They are the single largest point of entry for acute hospital admissions and most patients are at their sickest within the first 24-hours of admission. This dataset includes • Total number of patients assessed by acute medicine across ED, AMU and Ambulatory Care. • Medical and nursing levels • Severity of illness • Timeliness in processes of care • Clinical outcomes 7 days after admission PIONEER geography The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. WM has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. This is the SAMBA dataset from 4 NHS hospitals. 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: These data come from Queen Elizabeth Hospitals Birmingham, Good Hope Hospital, Solihull Hospital and Heartlands Hospital. All admissions in a pre-defined 24-hour period, the severity of illness, patient demographics, co-morbidity, acuity scores, serial, structured data pertaining to care process (timings, staff grades, specialty review, wards) all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), 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

  7. NHS workforce: Number of HCHS staff 2024, by staff group

    • statista.com
    Updated Feb 21, 2014
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    Statista (2014). NHS workforce: Number of HCHS staff 2024, by staff group [Dataset]. https://www.statista.com/statistics/679898/number-of-nhs-hchs-workforce-by-staff-group-england/
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    Dataset updated
    Feb 21, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    United Kingdom, England
    Description

    As of December 2024, the NHS in England employed a total of 1.5 million staff members (headcount: counting each individual staff member), including 157 thousand HCHS doctors. This makes it the largest employer in England. In terms of staff groups, nurses (and health visitors) represented the biggest number, followed by support to doctors, nurses and midwives.

  8. National Waiting List Clock Starts

    • healthdatagateway.org
    unknown
    Updated Oct 20, 2022
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    NHS NWL ICS;,;Discover-NOW (2022). National Waiting List Clock Starts [Dataset]. https://healthdatagateway.org/dataset/520
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    unknownAvailable download formats
    Dataset updated
    Oct 20, 2022
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    Authors
    NHS NWL ICS;,;Discover-NOW
    License

    https://discover-now.co.uk/make-an-enquiry/https://discover-now.co.uk/make-an-enquiry/

    Description

    Restoration of elective activity is one of the highest priorities for NHS England and NHS Improvement following the impact of the Covid-19 pandemic. Understanding the composition of the waiting list is critical to managing restoration within North West London.

    Data will be collected via data submissions made by each individual provider of NHS Acute healthcare services in North West London. This dataset includes data from Imperial College Healthcare NHS Trust, Chelsea and Westminster NHS Foundation Trust, London North West Healthcare NHS Trust and The Hillingdon Hospital NHS Trust. Data will be processed under an Information Sharing Agreement between North West London CCG and each organisation. Data submissions will be processed and used for the following purposes:

    1. Developing a visual display of the waiting list composition (Elective Waiting List Data Dashboard).
    2. Developing a data quality improvement programme with providers.

    All RTT pathways with a clock start date after 23:59 on Sunday 4th April 2021 and before 23:59 on the Sunday of the reporting period and not recorded to date (in a previous submission).

  9. ERIC - Estates Return Information Collection - Trust Level

    • data.europa.eu
    • data.wu.ac.at
    csv, html
    Updated Oct 30, 2021
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    NHS Digital (2021). ERIC - Estates Return Information Collection - Trust Level [Dataset]. https://data.europa.eu/data/datasets/eric-annual-returns?locale=hr
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    csv, htmlAvailable download formats
    Dataset updated
    Oct 30, 2021
    Dataset authored and provided by
    NHS Digitalhttps://digital.nhs.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The ERIC (Estates Return Information Collection) is collected and published here by the HSCIC on behalf of the Department of Health. It is the main central data collection for estates and facilities services from the NHS containing information dating back to 1999/2000 and will be added to as future returns are completed. The data provided enables the analysis of Estates & Facilities information from NHS Trusts and PCTs in England which is a compulsory requirement that NHS Trusts submit an Estates Return. The data is as provided by reporting organisations and has not been amended. The accuracy and completeness is the responsibility of the reporting organisations.

    This dataset is at trust-level. To obtain a complete picture, site-level data should also be accessed (see additional links). Note that trust-level data is a different collection to site-level, rather than site-level totals.

  10. d

    Primary Care Trusts: Patient Surveys, 2003-2005 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 22, 2023
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    (2023). Primary Care Trusts: Patient Surveys, 2003-2005 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/6d574137-2f5e-5b6d-a0c4-93ccd6f3908d
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    Dataset updated
    Oct 22, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences. The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections. Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community. History of the programme The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission. Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages. The Primary Care Trusts: Patient Surveys, 2003-2005 were designed to provide actionable feedback to each participating trust on patients' views of the care they had received in Primary Care Trusts (PCTs) in England, as well as providing CHI/CHAI with patient-focused indicators to feed into the 2003-2005 performance ratings for acute and specialist NHS trusts. Main Topics: Topics covered include: visits to local health centres/general practitioners in last 12 months; waiting time for appointments; time spent with doctor; other health professionals or pharmacists seen; referrals to hospitals or specialists; clinical tests; medical treatments and health advice received; trust in doctors; whether patient treated with respect and dignity; medications prescribed; adequacy of information received; whether interpreter required or available; whether contacted NHS Direct telephone line; dental treatment; sight and vision tests received; blood pressure checks; advice received regarding diet; exercise; smoking cessation; alcohol consumption; sexual health and contraception; whether patient suffers from debilitating condition; whether patient has children or cares for other dependants; patient's age; gender; ethnic group and educational background.

  11. England: Number of admissions to NHS hospitals 2000-2024

    • statista.com
    Updated Nov 19, 2024
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    Statista (2024). England: Number of admissions to NHS hospitals 2000-2024 [Dataset]. https://www.statista.com/statistics/984239/england-nhs-hospital-admissions/
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    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of admissions has increased year-on-year from 2000 to 2020. Due to the COVID-19 pandemic, hospital admission dropped in 2020/21. In 2023/24 there were around 17.6 million admissions* to NHS hospitals in England, showing that admission numbers have reached and exceeded pre-pandemic levels.

  12. UHB Linked Diabetic Eye Disease and Cardiac Outcomes

    • healthdatagateway.org
    unknown
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    University Hospitals Birmingham NHS Foundation Trust, UHB Linked Diabetic Eye Disease and Cardiac Outcomes [Dataset]. https://healthdatagateway.org/dataset/100
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    unknownAvailable download formats
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    University Hospitals Birmingham NHS Foundation Trusthttp://www.uhb.nhs.uk/
    Authors
    University Hospitals Birmingham NHS Foundation Trust
    License

    https://www.insight.hdrhub.org/https://www.insight.hdrhub.org/

    Description

    www.insight.hdrhub.org/about-us

    Background: Diabetes mellitus affects over 3.9 million people in the United Kingdom (UK), with over 2.6 million people in England alone. More than 1 million people living with diabetes are acutely admitted to hospital due to complications of their illness every year. Cardiovascuar disease is the most prevalent cause of morbidity and mortality in people with diabetes. Diabetic retinopathy (DR) is a common microvascular complication of type 1 and type 2 diabetes and remains a major cause of vision loss and blindness in those of working age. This dataset includes the national screening diabetic grade category (seven categories from R0M0 to R3M1) from the Birmingham, Solihull and Black Country DR screening program (a member of the National Health Service (NHS) Diabetic Eye Screening Programme) and the University Hospitals Birmingham NHS Trust cardiac outcome data.

    Geography: The West Midlands has a population of 5.9 million. The region includes a diverse ethnic, and socio-economic mix, with a higher than UK average of minority ethnic groups. It has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of diabetes, physical inactivity, obesity, and smoking.

    Data sources:
    1. The Birmingham, Solihull and Black Country Data Set, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom. They manage over 200,000 diabetic patients, with longitudinal follow-up up to 15 years, making this the largest urban diabetic eye screening scheme in Europe. 2. The Electronic Health Records held at University Hospitals Birmingham NHS Foundation Trust is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and 100 ITU beds. UHB runs a fully electronic healthcare record for systemic disease.

    Scope: All Birmingham, Solihull and Black Country diabetic eye screened participants who have been admitted to UHB with a cardiac related health concern from 2006 onwards. Longitudinal and individually linked with their diabetic eye care from primary screening data and secondary care hospital cardiac outcome data including • Demographic information (including age, sex and ethnicity) • Diabetes status • Diabetes type • Length of time since diagnosis of diabetes • Visual acuity • The national screening diabetic screening grade category (seven categories from R0M0 to R3M1) • Diabetic eye clinical features • Reason for sight and severe sight impairment • ICD-10 and SNOMED-CT codes pertaining to cardiac disease • Outcome

    Website: https://www.retinalscreening.co.uk/

  13. Number of hospital beds in the United Kingdom (UK) 2000-2022

    • statista.com
    • flwrdeptvarieties.store
    Updated Apr 25, 2024
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    Statista (2024). Number of hospital beds in the United Kingdom (UK) 2000-2022 [Dataset]. https://www.statista.com/statistics/473264/number-of-hospital-beds-in-the-united-kingdom-uk/
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of hospital beds in the United Kingdom has undergone a decline since the year 2000. Whereas in 2000, there were around 240 thousand beds in the UK, by 2020 this figure was approximately 163 thousand. This means over this period there were over 80 thousand fewer hospital beds in the UK. However in the recent years since 2020, the number of hospital beds have been increasing, the first time in the recorded time period.

    Fewer beds but admissions are still high

    There were almost 16.4 million admissions to hospital between April 2022 to March 2023 in England. The number of admissions has recovered somewhat since the drop in year 2020/21. The busiest hospital trust in England by admissions in the year 2022/23 was the University Hospitals Birmingham Foundation Trust with over 333 thousand admissions. The average length of stay in hospitals in the UK in 2021 for acute care was seven days.

    Accident and Emergency

    In the first quarter of 2023/24, A&E in England received around 6.5 million attendees. The number of attendances has been creeping upwards since 2012. Around 2.4 percent of people attending A&E in the last year were diagnosed with an upper respiratory condition, followed by 1.8 percent with a lower respiratory tract infection.

  14. c

    National Health Service National Staff Survey, 2011

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
    + more versions
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    Care Quality Commission (2024). National Health Service National Staff Survey, 2011 [Dataset]. http://doi.org/10.5255/UKDA-SN-7203-2
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Picker Institute Europe
    Authors
    Care Quality Commission
    Time period covered
    Sep 1, 2011 - Dec 1, 2011
    Area covered
    England
    Variables measured
    National, Individuals
    Measurement technique
    Postal survey, Self-completion
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    Background
    The Commission for Health Improvement (CHI), in conjunction with the Department of Health (DH), appointed Aston University to develop and pilot a new national National Health Service (NHS) staff survey, commencing in 2003, and to establish an advice centre and web site to support that process. Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On the 1st April 2009, the Care Quality Commission (CQC) was formed which replaced the Healthcare Commission (users should note that some of the surveys in the series conducted prior to this date will still be attributed to the Healthcare Commission). In 2011 the Department of Health took over management of the survey. Since 2013 NHS England (NHSE) have been in charge of the survey programme. Researchers at Aston University were responsible for the initial development of the survey questionnaire instrument, and for the setting up of the NHS National Staff Survey Advice Centre. From 2011, Picker Institute Europe took over from Aston University as survey contractors. All organisations concerned worked in partnership to consult widely with NHS staff about the content of the new national survey. The work was conducted under the guidance of a stakeholder group, which contained representatives from the staff side, CQC, DH, human resources directors, Strategic Health Authorities and the NHS workforce.

    Aims and conduct of the survey
    The purpose of the annual NHS staff survey is to collect staff views about working in their local NHS trust. The survey has been designed to replace trusts' own annual staff surveys, the DH '10 core questions', and the HC 'Clinical Governance Review' staff surveys. It is intended that this one annual survey will cover the needs of HC, DH and trusts. Thus, it provides information for deriving national performance measures (including star ratings) and to help the NHS, at national and local level, work towards the 'Improving Working Lives' standard. The design also incorporates questions relating to the 'Positively Diverse Programme'. Trusts will be able to use the findings to identify how their policies are working in practice. The survey enables organisations, for the first time, to benchmark themselves against other similar NHS organisations and the NHS as a whole, on a range of measures of staff satisfaction and opinion. From 2013, the NHS Staff Survey went out to all main trust types - social enterprises, clinical commissioning groups and clinical support units were able to opt themselves in to the survey. Organisations were allowed to conduct the survey electronically and to submit data for an entire census or extended sample of their organisation. Previously the sample was restricted to 850 staff.

    The collection of data (i.e. the survey fieldwork) is conducted by a number of independent survey contractors (see documentation for individual survey information). The contractors are appointed directly by each NHS trust in England and are required to follow a set of detailed guidance notes supplied by the Advice Centre (see web site link above), which covers the methodology required for the survey. For example, this includes details on how to draw the random sample, the requirements for printing of questionnaires, letters to be sent to respondents, data entry and submission. At the end of the fieldwork, the data are then sent to the Advice Centre. From the data submitted, each participating NHS trust in England receives a benchmarked 'Feedback Report' from the Advice Centre, which also produces (on behalf of the Department of Health) a series of detailed spreadsheets which report details of each question covered in the survey for each participating trust in England, and also a 'Key Findings' summary report covering the survey findings at national level. Further information about the survey series and related publications are available from the Advice Centre web site (see link above).


    As in previous years, the 2011 survey contained different versions of the core questionnaire for each of the four main sectors (acute, ambulance, mental health and primary care). The majority of the content is the same across the different versions of the core questionnaire but there are a few sector-specific questions. A few questions were dropped and some added for 2011 - see the Guidance Notes document for details of changes.

    For the second edition (August 2015) the variable Occgrp was removed from the data at the depositor’s request. The data can be analysed by occupational group using the variable Occ_da.
    Main Topics:
    Topics covered in the survey include: work-life balance; appraisal; training, learning and development; team working; health and safety; errors and incidents witnessed; job characteristics and arrangements; management and...

  15. f

    Table_1_SARS-CoV-2 Testing of 11,884 Healthcare Workers at an Acute NHS...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
    + more versions
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    Aidan T. Hanrath; Ina Schim van der Loeff; Dennis W. Lendrem; Kenneth F. Baker; David A. Price; Peter McDowall; Kiera McDowall; Susan Cook; Peter Towns; Ulrich Schwab; Adam Evans; Jill Dixon; Jennifer Collins; Shirelle Burton-Fanning; David Saunders; Jayne Harwood; Julie Samuel; Matthias L. Schmid; Lucia Pareja-Cebrian; Ewan Hunter; Elizabeth Murphy; Yusri Taha; Brendan A. I. Payne; Christopher J. A. Duncan (2023). Table_1_SARS-CoV-2 Testing of 11,884 Healthcare Workers at an Acute NHS Hospital Trust in England: A Retrospective Analysis.docx [Dataset]. http://doi.org/10.3389/fmed.2021.636160.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Aidan T. Hanrath; Ina Schim van der Loeff; Dennis W. Lendrem; Kenneth F. Baker; David A. Price; Peter McDowall; Kiera McDowall; Susan Cook; Peter Towns; Ulrich Schwab; Adam Evans; Jill Dixon; Jennifer Collins; Shirelle Burton-Fanning; David Saunders; Jayne Harwood; Julie Samuel; Matthias L. Schmid; Lucia Pareja-Cebrian; Ewan Hunter; Elizabeth Murphy; Yusri Taha; Brendan A. I. Payne; Christopher J. A. Duncan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  16. c

    Acute Trusts: Adult Inpatients Survey, 2012

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
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    Care Quality Commission (2024). Acute Trusts: Adult Inpatients Survey, 2012 [Dataset]. http://doi.org/10.5255/UKDA-SN-7273-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Picker Institute Europe
    Authors
    Care Quality Commission
    Time period covered
    Sep 1, 2012 - Jan 1, 2013
    Area covered
    England
    Variables measured
    Individuals, National
    Measurement technique
    Postal survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.

    The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.

    Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.

    History of the programme

    The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.

    Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.


    The Adult Inpatients Survey, 2012 was designed to provide actionable feedback to each participating NHS trust on patients' views of the care they had received as inpatients in England. Results are used by CQC in a range of ways, including the assessment of NHS performance as well as in regulatory activities such as registration, monitoring ongoing compliance and reviews.


    Main Topics:

    The survey covered issues that affect the quality of care that patients receive and were identified by patients as important to them. Topics covered included: admission to hospital, the hospital and ward, relationships with healthcare professionals, care and treatment, pain, operations and procedures, discharge.

  17. h

    Laboratory turnaround times processing electronic blood test orders in the...

    • healthdatagateway.org
    unknown
    Updated Dec 5, 2023
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2023). Laboratory turnaround times processing electronic blood test orders in the NHS [Dataset]. https://healthdatagateway.org/dataset/162
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Dec 5, 2023
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Pathology services are a fundamental core of healthcare services and are essential in the delivery of many national priorities. A Report of the Review of NHS Pathology Services in England, chaired by Lord Carter of Coles, estimated that 70-80 per cent of all healthcare decisions affecting diagnosis or treatment involve a pathology investigation. With the increased demand on acute care services there is a growing requirement for rapid laboratory results to facilitate the decision to discharge or admit, including the escalation of care. Laboratory turn around times (LTAT) are defined as the interval between when a test is requested to the time the results are available to the clinical team. LTAT is considered one of the most noticeable markers of a laboratory service and is often used as a key performance indicator in healthcare settings.

    Computerised Provider Order Entry (CPOE) systems are computer-assisted systems that are designed to replace a hospital’s paper-based ordering system. When configured correctly CPOE systems should increase efficiency and improve patient care.

    PIONEER geography: The West Midlands (WM) has a population of 5.9 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 & an expanded 250 ITU bed capacity during COVID. 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: Clinical and operational pathway data for 323,899 blood tests ordered pre and post implementation of a CPOE system. Data on the time the new system was implemented. Date and time fields are provided for the specimens from the point they were requested through to processing times in the laboratory and finally the date/time results are reported back via the Electronic Health System. Data on the ward and specialty are provided.

    Available supplementary data: Matched controls; ambulance, OMOP 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.

  18. Summary Hospital-level Mortality Indicator (SHMI)

    • data.wu.ac.at
    • data.europa.eu
    html, zip
    Updated Aug 7, 2018
    + more versions
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    NHS Digital (2018). Summary Hospital-level Mortality Indicator (SHMI) [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/OGMzOGVhZGYtZjY5MS00NDc2LThlYmYtZjkwNWRmYzAzZTli
    Explore at:
    html, zipAvailable download formats
    Dataset updated
    Aug 7, 2018
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    NHS Digitalhttps://digital.nhs.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The Summary Hospital-level Mortality Indicator (SHMI) reports on mortality at trust level across the NHS in England using a standard and transparent methodology. It is produced and published quarterly as a National Statistic by NHS Digital, with each publication reporting on a 12-month period.

    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. It covers all deaths reported of patients who were admitted to non-specialist acute NHS trusts in England and either die while in hospital or within 30 days of discharge.

    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.

    Further background information and supporting documents, including information on how to interpret the SHMI, are available on the SHMI homepage at http://digital.nhs.uk/SHMI

    Separate downloads for the most recent SHMI publications are available on this page. Older publications are placed in archive folders.

  19. National Major Trauma Registry Data Collection - Update to ISB1606

    • standards.nhs.uk
    Updated Apr 29, 2024
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    NHS England (2024). National Major Trauma Registry Data Collection - Update to ISB1606 [Dataset]. https://standards.nhs.uk/published-standards/national-major-trauma-registry-data-collection-update-to-isb1606
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    Dataset updated
    Apr 29, 2024
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    Authors
    NHS England
    Description

    Supports trauma-receiving Trusts by providing each trauma unit with case mix adjusted outcome analysis, performance of key process measures and comparisons of trauma care.

  20. c

    Community Mental Health Service User Survey, 2022

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
    + more versions
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    Care Quality Commission (2024). Community Mental Health Service User Survey, 2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-9046-1
    Explore at:
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Picker Institute Europe
    Authors
    Care Quality Commission
    Time period covered
    Feb 1, 2022 - Jun 30, 2022
    Area covered
    England
    Variables measured
    Individuals, National
    Measurement technique
    Postal survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.

    The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.

    Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.

    History of the programme

    The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.

    Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.


    The Community Mental Health Service User Survey has been conducted almost every year since 2004 and asks people who use NHS community mental health services in England about their experiences. Fifty-three providers of NHS mental health services participated in the 2022 Community Mental Health Service User Survey. This includes combined mental health and social care trusts, foundation trusts and community healthcare social enterprises that provide NHS mental health services. Those aged 18 and over were eligible to take part if they were receiving specialist care or treatment for a mental health condition between 1 September 2021 and 30 November 2021. Fieldwork took place between February 2022 and June 2022. The survey team received responses from 13,418 people, a response rate of 21%.

    The results are intended for use by NHS trusts to help them improve their performance as well as being an essential quality indicator for the work of organisations including the Care Quality Commission (CQC), NHS England and the Department for Health and Social care.


    Main Topics:

    The questionnaire covered: access, health and social care workers, organising care, planning and reviewing care, crisis care, medicines, NHS talking therapies, support and wellbeing, responsive care and overall experience.

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Statista (2023). Leading busiest hospitals in England 2022/23, by number of admissions [Dataset]. https://www.statista.com/statistics/504252/leading-busy-hospitals-ranked-by-number-of-admissions-england-uk/
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Leading busiest hospitals in England 2022/23, by number of admissions

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 30, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom, England
Description

During the financial year 2022/23, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with over 333 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 Manchester University NHS Foundation Trust with approximately 298 thousand admissions.

Accident and emergency admissions

From April to June 2023, there were around 6.5 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 three percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over four percent were diagnosed with a respiratory infection. Furthermore, 7.4 percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched.

Waiting too long

Over the last few years in the A&E department, the NHS has been falling behind the target that 95 percent of patients should be seen within four 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 majority 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.

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