12 datasets found
  1. H

    HES Admitted Patient Care data for CPRD Aurum

    • find.data.gov.scot
    • dtechtive.com
    Updated Dec 4, 2023
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    CPRD (2023). HES Admitted Patient Care data for CPRD Aurum [Dataset]. https://find.data.gov.scot/datasets/25640
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    Dataset updated
    Dec 4, 2023
    Dataset provided by
    CPRD
    Area covered
    England, United Kingdom
    Description

    CPRD Aurum linked Hospital Episode Statistics Admitted Patient Care (HES APC) data contain details of admissions to, and attendances at, English NHS providers, including admission and discharge dates, diagnoses, procedures and specialists seen under.

  2. d

    SHMI palliative care coding contextual indicators

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Jan 9, 2025
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    (2025). SHMI palliative care coding contextual indicators [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2025-01
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    xlsx(77.2 kB), csv(11.5 kB), pdf(263.1 kB), xlsx(50.4 kB), csv(11.4 kB), pdf(243.9 kB), xlsx(50.2 kB)Available download formats
    Dataset updated
    Jan 9, 2025
    License

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

    Time period covered
    Sep 1, 2023 - Aug 31, 2024
    Area covered
    England
    Description

    These indicators are designed to accompany the SHMI publication. The SHMI methodology does not make any adjustment for patients who are recorded as receiving palliative care. This is because there is considerable variation between trusts in the way that palliative care is recorded. Contextual indicators on the percentage of provider spells and deaths reported in the SHMI where palliative care was recorded at either treatment or specialty level are produced to support the interpretation of the SHMI. Notes: 1. For discharges in the reporting period April 2024 - May 2024, almost all of the records for Wirral University Teaching Hospital NHS Foundation Trust (trust code RBL) have been submitted without an NHS number. This will have affected the linkage of the HES data to the ONS death registrations data and may have resulted in a smaller number of deaths occurring outside hospital within 30 days of discharge being identified for this trust than would have otherwise been the case. The results for this trust should therefore be interpreted with caution. 2. There is a shortfall in the number of records for North Middlesex University Hospital NHS Trust (trust code RAP), Northumbria Healthcare NHS Foundation Trust (trust code RTF), The Rotherham NHS Foundation Trust (trust code RFR), and The Shrewsbury and Telford Hospital NHS Trust (trust code RXW). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 3. There is a high percentage of invalid diagnosis codes for Bradford Teaching Hospitals NHS Foundation Trust (trust code RAE), Chesterfield Royal Hospital NHS Foundation Trust (trust code RFS), East Lancashire Hospitals NHS Trust (trust code RXR), Harrogate and District NHS Foundation Trust (trust code RCD), Portsmouth Hospitals University NHS Trust (trust code RHU), University Hospitals of North Midlands NHS Trust (trust code RJE), and University Hospitals Plymouth NHS Trust (trust code RK9). Values for these trusts should therefore be interpreted with caution. 4. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 5. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  3. National Child Development Study: Linked Health Administrative Datasets...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2024
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    UCL Institute Of Education University College London (2024). National Child Development Study: Linked Health Administrative Datasets (Hospital Episode Statistics), England, 1997-2017: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-8697-2
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    UCL Institute Of Education University College London
    Area covered
    England
    Description

    The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

    The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

    Survey and Biomeasures Data (GN 33004):

    To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

    Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

    From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

    Linked Geographical Data (GN 33497):
    A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

    Linked Administrative Data (GN 33396):
    A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

    Additional Sub-Studies (GN 33562):
    In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

    The National Child Development Study: Linked Health Administrative Datasets (Hospital Episode Statistics), England, 1997-2017: Secure Access includes data files from the NHS Digital HES database for those cohort members who provided consent to health data linkage in the Age 50 sweep. The HES database contains information about all hospital admissions in England. The following linked HES data are available:

    1) Accident and Emergency (A&E)
    The A&E dataset details each attendance to an Accident and Emergency care facility in England, between 01-04-2007 and 31-03-2017 (inclusive). It includes major A&E departments, single speciality A&E departments, minor injury units and walk-in centres in England.

    2) Admitted Patient Care (APC)
    The APC data summarises episodes of care for admitted patients, where the episode occurred between 01-04-1997 and 31-03-2017 (inclusive).

    3) Critical Care (CC)
    The CC dataset covers records of critical care activity between 01-04-2009 and 31-03-2017 (inclusive).

    4) Out Patient (OP)
    The OP dataset lists the outpatient appointments between 01-04-2003 and 31-03-2017 (inclusive).

    CLS/ NHS Digital Sub-licence agreement
    NHS Digital has given CLS permission for onward sharing of the Next Steps/HES dataset via the UKDS Secure Lab. In order to ensure data minimisation, NHS Digital requires that researchers only access the HES variables needed for their approved research project. Therefore, the HES linked data provided by the UKDS to approved researchers will be subject to sub-setting of variables. The researcher will need to request a specific sub-set of variables from the Next Steps HES data dictionary, which will subsequently make available within their UKDS Secure Account. Once the researcher has finished their research, the UKDS will delete the tailored dataset for that specific project. Any party wishing to access the data deposited at the UK Data Service will be required to enter into a Licence agreement with CLS (UCL), in addition to the agreements signed with the UKDS, provided in the application pack.

    Latest edition information
    For the second edition (September 2022), 7 previously unavailable variables have been added to the A&E, APC and OP data files. The User Guide has also been updated, along with the variable list, to reflect the changes.

  4. d

    SHMI deprivation contextual indicators

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Jan 9, 2025
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    (2025). SHMI deprivation contextual indicators [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2025-01
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    csv(16.7 kB), pdf(251.3 kB), xlsx(77.6 kB), pdf(251.7 kB), csv(15.2 kB), xlsx(54.5 kB), xlsx(55.7 kB)Available download formats
    Dataset updated
    Jan 9, 2025
    License

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

    Time period covered
    Sep 1, 2023 - Aug 31, 2024
    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. For discharges in the reporting period April 2024 - May 2024, almost all of the records for Wirral University Teaching Hospital NHS Foundation Trust (trust code RBL) have been submitted without an NHS number. This will have affected the linkage of the HES data to the ONS death registrations data and may have resulted in a smaller number of deaths occurring outside hospital within 30 days of discharge being identified for this trust than would have otherwise been the case. The results for this trust should therefore be interpreted with caution. 2. Northern Lincolnshire and Goole NHS Foundation Trust (trust code RJL) has a high percentage of records with no NHS Number. This is resulting in around 40% of their spells not having a value for Age or Deprivation rank. As Age is a component of the statistical models used to calculate the SHMI, values for this trust should therefore be interpreted with caution. 3. There is a shortfall in the number of records for North Middlesex University Hospital NHS Trust (trust code RAP), Northumbria Healthcare NHS Foundation Trust (trust code RTF), The Rotherham NHS Foundation Trust (trust code RFR), and The Shrewsbury and Telford Hospital NHS Trust (trust code RXW). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 4. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 5. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  5. H

    HES Admitted Patient Care data for CPRD GOLD

    • find.data.gov.scot
    Updated Dec 4, 2023
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    CPRD (2023). HES Admitted Patient Care data for CPRD GOLD [Dataset]. https://find.data.gov.scot/datasets/25641
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    Dataset updated
    Dec 4, 2023
    Dataset provided by
    CPRD
    Area covered
    United Kingdom, England
    Description

    CPRD GOLD linked Hospital Episode Statistics Admitted Patient Care (HES APC) data contain details of admissions to, and attendances at, English NHS providers, including admission and discharge dates, diagnoses, procedures and specialists seen under.

  6. d

    SHMI primary diagnosis coding contextual indicators

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Feb 13, 2025
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    (2025). SHMI primary diagnosis coding contextual indicators [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2025-02
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    pdf(231.3 kB), csv(9.0 kB), xlsx(50.5 kB), xlsx(76.9 kB), xlsx(50.4 kB), csv(9.3 kB), pdf(228.8 kB)Available download formats
    Dataset updated
    Feb 13, 2025
    License

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

    Time period covered
    Oct 1, 2023 - Sep 30, 2024
    Area covered
    England
    Description

    These indicators are designed to accompany the SHMI publication. Information on the main condition the patient is in hospital for (the primary diagnosis) is used to calculate the expected number of deaths used in the calculation of the SHMI. A high percentage of records with an invalid primary diagnosis may indicate a data quality problem. A high percentage of records with a primary diagnosis which is a symptom or sign may indicate problems with data quality or timely diagnosis of patients, but may also reflect the case-mix of patients or the service model of the trust (e.g. a high level of admissions to acute admissions wards for assessment and stabilisation). Contextual indicators on the percentage of provider spells with an invalid primary diagnosis and the percentage of provider spells with a primary diagnosis which is a symptom or sign are produced to support the interpretation of the SHMI. Notes: 1. On 1st January 2025, North Middlesex University Hospital NHS Trust (trust code RAP) was acquired by Royal Free London NHS Foundation Trust (trust code RAL). Due to processing issues, we are currently producing separate indicator values for these trusts in the SHMI data. Data for the merged organisation will be produced at a future date. 2. There is a shortfall in the number of records for Kingston and Richmond NHS Foundation Trust (trust code RAX), North Middlesex University Hospital NHS Trust (trust code RAP), Northumbria Healthcare NHS Foundation Trust (trust code RTF), The Rotherham NHS Foundation Trust (trust code RFR), and The Shrewsbury and Telford Hospital NHS Trust (trust code RXW). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 3. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 4. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  7. d

    SHMI data

    • digital.nhs.uk
    csv, pdf, xls, xlsx
    Updated Jun 13, 2024
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    (2024). SHMI data [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2024-06
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    xls(323.1 kB), csv(1.9 MB), xls(3.0 MB), xls(95.7 kB), csv(139.1 kB), csv(1.1 MB), pdf(728.6 kB), xlsx(88.9 kB), csv(14.0 kB)Available download formats
    Dataset updated
    Jun 13, 2024
    License

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

    Time period covered
    Feb 1, 2023 - Jan 31, 2024
    Area covered
    England
    Description

    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 includes deaths which occurred in hospital and deaths which occurred outside of hospital within 30 days (inclusive) of discharge. The SHMI gives an indication for each non-specialist acute NHS trust in England whether the observed number of deaths within 30 days of discharge from hospital was 'higher than expected' (SHMI banding=1), 'as expected' (SHMI banding=2) or 'lower than expected' (SHMI banding=3) when compared to the national baseline. Trusts may be located at multiple sites and may be responsible for 1 or more hospitals. A breakdown of the data by site of treatment is also provided. The SHMI is composed of 144 different diagnosis groups and these are aggregated to calculate the overall SHMI value for each trust. The number of finished provider spells, observed deaths and expected deaths at diagnosis group level for each trust is available in the SHMI diagnosis group breakdown files. For a subset of diagnosis groups, an indication of whether the observed number of deaths within 30 days of discharge from hospital was 'higher than expected', 'as expected' or 'lower than expected' when compared to the national baseline is also provided. Details of the 144 diagnosis groups can be found in Appendix A of the SHMI specification. Notes: 1. There is a shortfall in the number of records for East Lancashire Hospitals NHS Trust (trust code RXR), Guy’s and St Thomas’ NHS Foundation Trust (trust code RJ1), and King’s College Hospital NHS Foundation Trust (trust code RJZ). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 2. Frimley Health NHS Foundation Trust (trust code RDU) stopped submitting data to the Secondary Uses Service (SUS) during June 2022 and did not start submitting data again until April 2023 due to an issue with their patient records system. This is causing a large shortfall in records and values for this trust should be viewed in the context of this issue. 3. There is a high percentage of invalid diagnosis codes for Barking, Havering and Redbridge University Hospitals NHS Trust (trust code RF4), Chesterfield Royal Hospital NHS Foundation Trust (trust code RFS), Milton Keynes University Hospital NHS Foundation Trust (trust code RD8), Portsmouth Hospitals University NHS Trust (trust code RHU), and University Hospitals Plymouth NHS Trust (trust code RK9). Values for these trusts should therefore be interpreted with caution. 4. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 5. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  8. d

    National Child Development Study: Linked Health Administrative Datasets...

    • b2find.dkrz.de
    Updated Oct 21, 2023
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    (2023). National Child Development Study: Linked Health Administrative Datasets (Hospital Episode Statistics), England, 1997-2017: Secure Access - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/f801677e-90ea-58c2-9fba-0c9643a46d94
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    Dataset updated
    Oct 21, 2023
    Area covered
    England
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan. The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565. Survey and Biomeasures Data (GN 33004):To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669). Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.Linked Geographical Data (GN 33497): A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. Linked Administrative Data (GN 33396):A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.Additional Sub-Studies (GN 33562):In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website. The National Child Development Study: Linked Health Administrative Datasets (Hospital Episode Statistics), England, 1997-2017: Secure Access includes data files from the NHS Digital HES database for those cohort members who provided consent to health data linkage in the Age 50 sweep. The HES database contains information about all hospital admissions in England. The following linked HES data are available: 1) Accident and Emergency (A&E) The A&E dataset details each attendance to an Accident and Emergency care facility in England, between 01-04-2007 and 31-03-2017 (inclusive). It includes major A&E departments, single speciality A&E departments, minor injury units and walk-in centres in England. 2) Admitted Patient Care (APC)The APC data summarises episodes of care for admitted patients, where the episode occurred between 01-04-1997 and 31-03-2017 (inclusive). 3) Critical Care (CC) The CC dataset covers records of critical care activity between 01-04-2009 and 31-03-2017 (inclusive). 4) Out Patient (OP) The OP dataset lists the outpatient appointments between 01-04-2003 and 31-03-2017 (inclusive).CLS/ NHS Digital Sub-licence agreement NHS Digital has given CLS permission for onward sharing of the Next Steps/HES dataset via the UKDS Secure Lab. In order to ensure data minimisation, NHS Digital requires that researchers only access the HES variables needed for their approved research project. Therefore, the HES linked data provided by the UKDS to approved researchers will be subject to sub-setting of variables. The researcher will need to request a specific sub-set of variables from the Next Steps HES data dictionary, which will subsequently make available within their UKDS Secure Account. Once the researcher has finished their research, the UKDS will delete the tailored dataset for that specific project. Any party wishing to access the data deposited at the UK Data Service will be required to enter into a Licence agreement with CLS (UCL), in addition to the agreements signed with the UKDS, provided in the application pack.Latest edition informationFor the second edition (September 2022), 7 previously unavailable variables have been added to the A&E, APC and OP data files. The User Guide has also been updated, along with the variable list, to reflect the changes.

  9. d

    SHMI site change during spell contextual indicator

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Dec 12, 2024
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    (2024). SHMI site change during spell contextual indicator [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2024-12
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    csv(9.0 kB), xlsx(39.1 kB), xlsx(32.1 kB), pdf(224.4 kB)Available download formats
    Dataset updated
    Dec 12, 2024
    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, 2023 - Jul 31, 2024
    Area covered
    England
    Description

    This indicator is designed to accompany the SHMI data at site of treatment level. The SHMI is calculated at the level of the provider spell, which is a continuous period of time spent as a patient within a single trust (provider). A spell may be composed of more than 1 episode (a single period of care under 1 consultant). If a patient is moved between hospitals or sites within the same trust, the provider spell continues. Most spells consist of a single episode and so there is no complication when presenting SHMI data at site level because the entire provider spell occurred at a single site. However, spells consisting of multiple episodes may have occurred over multiple sites and only 1 of these sites can be associated with the spell. This has been chosen to be the site of the 1st episode in the spell. This may result in hospital deaths being attributed to a site other than the one in which they occurred, with an impact on the SHMI values presented for the sites concerned. This impact is likely to be greater for sites within trusts showing higher percentages for this contextual indicator. Notes: 1. There is a shortfall in the number of records for North Middlesex University Hospital NHS Trust (trust code RAP), Northumbria Healthcare NHS Foundation Trust (trust code RTF), and The Shrewsbury and Telford Hospital NHS Trust (trust code RXW). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 2. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 3. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  10. d

    SHMI admission method contextual indicators

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Sep 12, 2024
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    (2024). SHMI admission method contextual indicators [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2024-09
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    csv(9.1 kB), xlsx(50.0 kB), pdf(233.3 kB), xlsx(47.2 kB), xlsx(76.8 kB), pdf(235.0 kB), csv(8.8 kB)Available download formats
    Dataset updated
    Sep 12, 2024
    License

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

    Time period covered
    May 1, 2023 - Apr 30, 2024
    Area covered
    England
    Description

    These indicators are designed to accompany the SHMI publication. The SHMI methodology includes an adjustment for admission method. This is because crude mortality rates for elective admissions tend to be lower than crude mortality rates for non-elective admissions. Contextual indicators on the crude percentage mortality rates for elective and non-elective admissions where a death occurred either in hospital or within 30 days (inclusive) of being discharged from hospital are produced to support the interpretation of the SHMI. Notes: 1. There is a shortfall in the number of records for East Lancashire Hospitals NHS Trust (trust code RXR), Harrogate and District NHS Foundation Trust (trust code RCD) and Northern Lincolnshire and Goole NHS Foundation Trust (trust code RJL). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 2. Data for Royal Surrey County Hospital NHS Foundation Trust (trust code RA2) has been suppressed from publication. This trust had submitted in error a high percentage of records with no secondary care diagnosis codes, this has made their SHMI values highly misleading. 3. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the SHMI background quality report. 4. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  11. d

    SHMI in and outside hospital deaths contextual indicator

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Jan 9, 2025
    + more versions
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    (2025). SHMI in and outside hospital deaths contextual indicator [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2025-01
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    csv(10.5 kB), xlsx(49.0 kB), pdf(234.9 kB), xlsx(72.5 kB)Available download formats
    Dataset updated
    Jan 9, 2025
    License

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

    Time period covered
    Sep 1, 2023 - Aug 31, 2024
    Area covered
    England
    Description

    This indicator is designed to accompany the SHMI publication. The SHMI includes all deaths reported of patients who were admitted to non-specialist acute trusts in England and either died while in hospital or within 30 days of discharge. Deaths related to COVID-19 are excluded from the SHMI. A contextual indicator on the percentage of deaths reported in the SHMI which occurred in hospital and the percentage which occurred outside of hospital is produced to support the interpretation of the SHMI. Notes: 1. For discharges in the reporting period April 2024 - May 2024, almost all of the records for Wirral University Teaching Hospital NHS Foundation Trust (trust code RBL) have been submitted without an NHS number. This will have affected the linkage of the HES data to the ONS death registrations data and may have resulted in a smaller number of deaths occurring outside hospital within 30 days of discharge being identified for this trust than would have otherwise been the case. The results for this trust should therefore be interpreted with caution. 2. There is a shortfall in the number of records for North Middlesex University Hospital NHS Trust (trust code RAP), Northumbria Healthcare NHS Foundation Trust (trust code RTF), The Rotherham NHS Foundation Trust (trust code RFR), and The Shrewsbury and Telford Hospital NHS Trust (trust code RXW). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 3. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 4. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

  12. d

    SHMI COVID-19 activity contextual indicators

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Jun 15, 2023
    + more versions
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    (2023). SHMI COVID-19 activity contextual indicators [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/shmi/2023-06
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    csv(9.7 kB), pdf(205.8 kB), xlsx(52.1 kB), pdf(215.3 kB), csv(12.7 kB), xlsx(36.7 kB), xlsx(48.4 kB)Available download formats
    Dataset updated
    Jun 15, 2023
    License

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

    Time period covered
    Feb 1, 2022 - Jan 31, 2023
    Area covered
    England
    Description

    These indicators are designed to accompany the SHMI publication. 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. There has been a fall in the number of spells for some trusts 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. Contextual indicators on the number of provider spells which are excluded from the SHMI due to them being related to COVID-19 and on the number of provider spells as a percentage of pre-pandemic activity (January 2019 – December 2019) are produced to support the interpretation of the SHMI. These indicators are being published as experimental statistics. Experimental statistics are official statistics which are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. Notes: 1. There is a shortfall in the number of records for Frimley Health NHS Foundation Trust (trust code RDU) and Tameside and Glossop Integrated Care NHS Foundation Trust (trust code RMP). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 2. A number of trusts are currently engaging in a pilot to submit Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS), rather than the Admitted Patient Care (APC) dataset. As the SHMI is calculated using APC data, this does have the potential to impact on the SHMI value for these trusts. Trusts with SDEC activity removed from the APC data have generally seen an increase in the SHMI value. This is because the observed number of deaths remains approximately the same as the mortality rate for this cohort is very low; secondly, the expected number of deaths decreases because a large number of spells are removed, all of which would have had a small, non-zero risk of mortality contributing to the expected number of deaths. We are working to better understand the planned changes to the recording of SDEC activity and the potential impact on the SHMI. The trusts affected in this publication are: Barts Health NHS Trust (trust code R1H), Cambridge University Hospitals NHS Foundation Trust (trust code RGT), Croydon Health Services NHS Trust (trust code RJ6), Epsom and St Helier University Hospitals NHS Trust (trust code RVR), Frimley Health NHS Foundation Trust (trust code RDU), Imperial College Healthcare NHS Trust (trust code RYJ), Manchester University NHS Foundation Trust (trust code R0A), Norfolk and Norwich University Hospitals NHS Foundation Trust (trust code RM1), and University Hospitals of Derby and Burton NHS Foundation Trust (trust code RTG). 3. 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.

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CPRD (2023). HES Admitted Patient Care data for CPRD Aurum [Dataset]. https://find.data.gov.scot/datasets/25640

HES Admitted Patient Care data for CPRD Aurum

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Dataset updated
Dec 4, 2023
Dataset provided by
CPRD
Area covered
England, United Kingdom
Description

CPRD Aurum linked Hospital Episode Statistics Admitted Patient Care (HES APC) data contain details of admissions to, and attendances at, English NHS providers, including admission and discharge dates, diagnoses, procedures and specialists seen under.

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