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.

*** This dataset has been discontinued from November 2015 - please refer to "NHS Workforce - Medical Staff" and "NHS Workforce - Non Medical Staff" datasets using the additional links below ***

Provisional monthly figures for headcount, full time equivalent and role count of NHS Hospital and Community Health Service (HCHS) staff groups working in England (excluding primary care staff).

As expected with provisional statistics, some figures may be revised from month to month as issues are uncovered and resolved. No refreshes of the provisional data will take place either as part of the regular publication process, or where minor enhancements to the methodology have an insignificant impact on the figures at a national level.

The monthly publication is an accurate summary of the validated data extracted from the NHS's HR and Payroll system. It has a provisional status as the data may change slightly over time where trusts make updates to their live operational systems. Given the size of the NHS workforce and the changing composition, particularly during this period of transition, it is likely that we will see some additional fluctuations in the workforce numbers over the next few months reflecting both national and local changes as a result of the NHS reforms. These statistics relate to the contracted positions within English NHS organisations and may include those where the person assigned to the position is temporarily absent, for example on maternity leave.

NHS Workforce statistics on bank staff employed directly by NHS trusts and paid through the NHS Electronic Staff Record (ESR) pay and human resources system.

• Vacancy reference number • Job title • Staff group • Salary • AfC banding • Date published • Date closed • Duration (i.e. permanent/fixed term for X months) • Part time/full time • Vacancy site (i.e. the hospital/site the position was held) Your request was received on 8 February 2024 and I am dealing with it under the terms of the Freedom of Information Act 2000. Response Please find attached file containing all the band 5 nursing vacancies for requested organisations published between 5 February 2023 – 8 February 2024. The post code field confirms the location of the vacancy. The information provided is limited to what the recruiting organisation supplies us with. For more detail on each position you may wish to write to each trust directly. A directory of trusts and Clinical Care Groups (CCGs) and Integrated Care Boards (ICBs) (including the ones provided in the data) can be found at the below web link: https://www.nhs.uk/nhs-services/find-your-local-integrated-care-board/ Please note that this request and our response is published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-01733 If you have any queries regarding the data provided, or if you plan on publishing, the data please contact foirequests@nhsbsa.nhs.uk ensuring you quote the above reference. This is important to ensure that the figures are not misunderstood or misrepresented. If you plan on producing a press or broadcast story based upon the data please contact communicationsteam@nhsbsa.nhs.uk. This is important to ensure that the figures are not misunderstood or misrepresented.

These tables cover the period from 30 April 2008 through to the latest period and uses four main earnings measures. Note that from September 2015 this dataset is now updated quarterly.

As expected with provisional statistics, some figures may be revised from month to month as issues are uncovered and resolved. No refreshes of the provisional data will take place either as part of the regular publication process, or where minor enhancements to the methodology have an insignificant impact on the figures at a national level. However, the provisional status allows for this to occur if it is determined that a refresh of data is required subsequent to initial release. Where a refresh of data occurs, it will be clearly documented in the publications.

We welcome feedback on the methodology and tables within this publication. Please send your comments and suggestions, clearly stating 'NHS Staff Earnings' as the subject heading through to enquiries@hscic.gov.uk or 0300 303 5678.

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 2010 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 2010 - see Appendix 9 of the Guidance Notes document for details of changes. 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 supervision; perceptions of organisation worked for; harassment, bullying and violence; and respondents' demographic characteristics. Sector-specific questions include: (acute) - infection control; (ambulance) - communication and distance between trust headquarters and ambulance stations; safe working environment; (mental health) - mental health specific training; partnership working. See documentation for further details.

A detailed view of the NHS non-medical workforce including nurses, scientists and support staff. Excluding medical or dental doctors within the Hospital and Community Health Services (HCHS) and GPs and their staff.

The minimum data set (MDS) collection for health visiting (HV) provides the number of full time equivalent (FTE) health visitors employed by all NHS organisations, Local Authorities and Social Enterprises. It collects information from Area Teams (ATs) that employ health visitors but do not use the Electronic Staff Record (ESR), such as local authorities and some social enterprises. Those NHS organisations using ESR have their HV numbers fed directly into the collection. The MDS collection for HV differs from the monthly workforce statistics published by the Health and Social Care Information Centre as it is solely focused on health visitors and includes those who are employed by non-NHS organisations and those organisations that do not use ESR over and above those NHS organisations included in the standard monthly workforce statistics.

The percentage point difference between the rate of employment in the general population of working age (16-64) and the rate of employment amongst adults of working age with a mental illness.

Purpose

This indicator measures the extent to which people with mental illness are able to live as normal a life as possible by looking at their levels of employment. This indicator is to ensure that mental illness is not excluded due to an overriding focus on physical health.

Current version updated: Aug-17

Next version due: Nov-17

SUMMARYThis analysis, designed and executed by Ribble Rivers Trust, identifies areas across England with the greatest levels of physical illnesses that are linked with obesity and inactivity. Please read the below information to gain a full understanding of what the data shows and how it should be interpreted.ANALYSIS METHODOLOGYThe analysis was carried out using Quality and Outcomes Framework (QOF) data, derived from NHS Digital, relating to:- Asthma (in persons of all ages)- Cancer (in persons of all ages)- Chronic kidney disease (in adults aged 18+)- Coronary heart disease (in persons of all ages)- Diabetes mellitus (in persons aged 17+)- Hypertension (in persons of all ages)- Stroke and transient ischaemic attack (in persons of all ages)This information was recorded at the GP practice level. However, GP catchment areas are not mutually exclusive: they overlap, with some areas covered by 30+ GP practices. Therefore, to increase the clarity and usability of the data, the GP-level statistics were converted into statistics based on Middle Layer Super Output Area (MSOA) census boundaries.For each of the above illnesses, the percentage of each MSOA’s population with that illness was estimated. This was achieved by calculating a weighted average based on:- The percentage of the MSOA area that was covered by each GP practice’s catchment area- Of the GPs that covered part of that MSOA: the percentage of patients registered with each GP that have that illnessThe estimated percentage of each MSOA’s population with each illness was then combined with Office for National Statistics Mid-Year Population Estimates (2019) data for MSOAs, to estimate the number of people in each MSOA with each illness, within the relevant age range.For each illness, each MSOA was assigned a relative score between 1 and 0 (1 = worst, 0 = best) based on:A) the PERCENTAGE of the population within that MSOA who are estimated to have that illnessB) the NUMBER of people within that MSOA who are estimated to have that illnessAn average of scores A & B was taken, and converted to a relative score between 1 and 0 (1= worst, 0 = best). The closer to 1 the score, the greater both the number and percentage of the population in the MSOA predicted to have that illness, compared to other MSOAs. In other words, those are areas where a large number of people are predicted to suffer from an illness, and where those people make up a large percentage of the population, indicating there is a real issue with that illness within the population and the investment of resources to address that issue could have the greatest benefits.The scores for each of the 7 illnesses were added together then converted to a relative score between 1 – 0 (1 = worst, 0 = best), to give an overall score for each MSOA: a score close to 1 would indicate that an area has high predicted levels of all obesity/inactivity-related illnesses, and these are areas where the local population could benefit the most from interventions to address those illnesses. A score close to 0 would indicate very low predicted levels of obesity/inactivity-related illnesses and therefore interventions might not be required.LIMITATIONS1. GPs do not have catchments that are mutually exclusive from each other: they overlap, with some geographic areas being covered by 30+ practices. This dataset should be viewed in combination with the ‘Health and wellbeing statistics (GP-level, England): Missing data and potential outliers’ dataset to identify where there are areas that are covered by multiple GP practices but at least one of those GP practices did not provide data. Results of the analysis in these areas should be interpreted with caution, particularly if the levels of obesity/inactivity-related illnesses appear to be significantly lower than the immediate surrounding areas.2. GP data for the financial year 1st April 2018 – 31st March 2019 was used in preference to data for the financial year 1st April 2019 – 31st March 2020, as the onset of the COVID19 pandemic during the latter year could have affected the reporting of medical statistics by GPs. However, for 53 GPs (out of 7670) that did not submit data in 2018/19, data from 2019/20 was used instead. Note also that some GPs (997 out of 7670) did not submit data in either year. This dataset should be viewed in conjunction with the ‘Health and wellbeing statistics (GP-level, England): Missing data and potential outliers’ dataset, to determine areas where data from 2019/20 was used, where one or more GPs did not submit data in either year, or where there were large discrepancies between the 2018/19 and 2019/20 data (differences in statistics that were > mean +/- 1 St.Dev.), which suggests erroneous data in one of those years (it was not feasible for this study to investigate this further), and thus where data should be interpreted with caution. Note also that there are some rural areas (with little or no population) that do not officially fall into any GP catchment area (although this will not affect the results of this analysis if there are no people living in those areas).3. Although all of the obesity/inactivity-related illnesses listed can be caused or exacerbated by inactivity and obesity, it was not possible to distinguish from the data the cause of the illnesses in patients: obesity and inactivity are highly unlikely to be the cause of all cases of each illness. By combining the data with data relating to levels of obesity and inactivity in adults and children (see the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset), we can identify where obesity/inactivity could be a contributing factor, and where interventions to reduce obesity and increase activity could be most beneficial for the health of the local population.4. It was not feasible to incorporate ultra-fine-scale geographic distribution of populations that are registered with each GP practice or who live within each MSOA. Populations might be concentrated in certain areas of a GP practice’s catchment area or MSOA and relatively sparse in other areas. Therefore, the dataset should be used to identify general areas where there are high levels of obesity/inactivity-related illnesses, rather than interpreting the boundaries between areas as ‘hard’ boundaries that mark definite divisions between areas with differing levels of these illnesses. TO BE VIEWED IN COMBINATION WITH:This dataset should be viewed alongside the following datasets, which highlight areas of missing data and potential outliers in the data:- Health and wellbeing statistics (GP-level, England): Missing data and potential outliersDOWNLOADING THIS DATATo access this data on your desktop GIS, download the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset.DATA SOURCESThis dataset was produced using:Quality and Outcomes Framework data: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.GP Catchment Outlines. Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital. Data was cleaned by Ribble Rivers Trust before use.COPYRIGHT NOTICEThe reproduction of this data must be accompanied by the following statement:© Ribble Rivers Trust 2021. Analysis carried out using data that is: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.CaBA HEALTH & WELLBEING EVIDENCE BASEThis dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.

Data showing the percentage of NHS staff from Asian, Black, Chinese, Mixed, White and Other ethnic groups. Data is broken down by ethnicity, type of role, and grade. This data is taken from NHS workforce statistics and is published on 'Ethnicity facts and figures'.

SUMMARYThis analysis, designed and executed by Ribble Rivers Trust, identifies areas across England with the greatest levels of hypertension (in persons of all ages). Please read the below information to gain a full understanding of what the data shows and how it should be interpreted.ANALYSIS METHODOLOGYThe analysis was carried out using Quality and Outcomes Framework (QOF) data, derived from NHS Digital, relating to hypertension (in persons of all ages).This information was recorded at the GP practice level. However, GP catchment areas are not mutually exclusive: they overlap, with some areas covered by 30+ GP practices. Therefore, to increase the clarity and usability of the data, the GP-level statistics were converted into statistics based on Middle Layer Super Output Area (MSOA) census boundaries.The percentage of each MSOA’s population (all ages) with hypertension was estimated. This was achieved by calculating a weighted average based on:The percentage of the MSOA area that was covered by each GP practice’s catchment areaOf the GPs that covered part of that MSOA: the percentage of registered patients that have that illness The estimated percentage of each MSOA’s population with hypertension was then combined with Office for National Statistics Mid-Year Population Estimates (2019) data for MSOAs, to estimate the number of people in each MSOA with hypertension , within the relevant age range.Each MSOA was assigned a relative score between 1 and 0 (1 = worst, 0 = best) based on:A) the PERCENTAGE of the population within that MSOA who are estimated to have hypertension B) the NUMBER of people within that MSOA who are estimated to have hypertension An average of scores A & B was taken, and converted to a relative score between 1 and 0 (1= worst, 0 = best). The closer to 1 the score, the greater both the number and percentage of the population in the MSOA that are estimated to have hypertension , compared to other MSOAs. In other words, those are areas where it’s estimated a large number of people suffer from hypertension, and where those people make up a large percentage of the population, indicating there is a real issue with hypertension within the population and the investment of resources to address that issue could have the greatest benefits.LIMITATIONS1. GP data for the financial year 1st April 2018 – 31st March 2019 was used in preference to data for the financial year 1st April 2019 – 31st March 2020, as the onset of the COVID19 pandemic during the latter year could have affected the reporting of medical statistics by GPs. However, for 53 GPs (out of 7670) that did not submit data in 2018/19, data from 2019/20 was used instead. Note also that some GPs (997 out of 7670) did not submit data in either year. This dataset should be viewed in conjunction with the ‘Health and wellbeing statistics (GP-level, England): Missing data and potential outliers’ dataset, to determine areas where data from 2019/20 was used, where one or more GPs did not submit data in either year, or where there were large discrepancies between the 2018/19 and 2019/20 data (differences in statistics that were > mean +/- 1 St.Dev.), which suggests erroneous data in one of those years (it was not feasible for this study to investigate this further), and thus where data should be interpreted with caution. Note also that there are some rural areas (with little or no population) that do not officially fall into any GP catchment area (although this will not affect the results of this analysis if there are no people living in those areas).2. Although all of the obesity/inactivity-related illnesses listed can be caused or exacerbated by inactivity and obesity, it was not possible to distinguish from the data the cause of the illnesses in patients: obesity and inactivity are highly unlikely to be the cause of all cases of each illness. By combining the data with data relating to levels of obesity and inactivity in adults and children (see the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset), we can identify where obesity/inactivity could be a contributing factor, and where interventions to reduce obesity and increase activity could be most beneficial for the health of the local population.3. It was not feasible to incorporate ultra-fine-scale geographic distribution of populations that are registered with each GP practice or who live within each MSOA. Populations might be concentrated in certain areas of a GP practice’s catchment area or MSOA and relatively sparse in other areas. Therefore, the dataset should be used to identify general areas where there are high levels of hypertension, rather than interpreting the boundaries between areas as ‘hard’ boundaries that mark definite divisions between areas with differing levels of hypertension .TO BE VIEWED IN COMBINATION WITH:This dataset should be viewed alongside the following datasets, which highlight areas of missing data and potential outliers in the data:Health and wellbeing statistics (GP-level, England): Missing data and potential outliersLevels of obesity, inactivity and associated illnesses (England): Missing dataDOWNLOADING THIS DATATo access this data on your desktop GIS, download the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset.DATA SOURCESThis dataset was produced using:Quality and Outcomes Framework data: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.GP Catchment Outlines. Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital. Data was cleaned by Ribble Rivers Trust before use.COPYRIGHT NOTICEThe reproduction of this data must be accompanied by the following statement:© Ribble Rivers Trust 2021. Analysis carried out using data that is: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.CaBA HEALTH & WELLBEING EVIDENCE BASEThis dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.

Abstract copyright UK Data Service and data collection copyright owner.The Health Survey for England (HSE) is a series of surveys designed to monitor trends in the nation's health. It was commissioned by NHS Digital and carried out by the Joint Health Surveys Unit of the National Centre for Social Research and the Department of Epidemiology and Public Health at University College London.The aims of the HSE series are:to provide annual data about the nation’s health;to estimate the proportion of people in England with specified health conditions;to estimate the prevalence of certain risk factors associated with these conditions;to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;to monitor progress towards selected health targetssince 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;since 1995, monitor the prevalence of overweight and obesity in children.The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change. Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage. Changes to the HSE from 2015:Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version. The Health Survey for England, 2000 (HSE00) consisted of two samples. The general population sample was a national cross-section sample. Up to two children aged 2-15 years were interviewed in each household, as well as up to 10 adults aged 16 years and over. All private households in the general population sample were eligible for inclusion in the survey (up to a maximum of three households per address). Running alongside the general population sample was a care homes sample, selected from the Laing and Bussion database. The sample contained nursing, residential, dual-registered and small residential homes and covered local authority, voluntary and privately-owned care homes. Up to six people aged 65 and over were selected for interview at each care home, and given a cognitive functioning test to see whether they were capable of being interviewed in person. Proxy interviews for those who were not capable of being interviewed were introduced in June 2000. For the fourth edition (July 2011), the GHQ12 variables were amended to correct errors in the GHQ12 scores. See document 'Note about GHQ12 problems in HSE Data' for details. Main Topics: The interview with informants from the general population sample included the question modules that are asked in most years in the Health Survey ('core' modules), such as general health and longstanding illnesses, use of health services, cigarette smoking, psycho-social health (GHQ12) and accidents. Also included in the 2000 survey were questions on disability (a repeat of the module used in the 1995 Health Survey), the Short-Form Health Outcomes (SF-12) questionnaire (for informants aged 16-64) and a new module on social capital and social exclusion. In addition to the 'core' question modules outlined above, informants in care homes were asked questions about cardiovascular disease (CVD) and respiratory symptoms, eating habits, physical activity and activities in the care home. The disability module was also included in the care home sample interview. A short interview with home managers included details about the type of care home, the number of residents and the availability of services and specialised equipment. Some administrative data and geographic identifiers have been removed from the dataset. Standard Measures:General Health Questionnaire (GHQ12) - copyright David Goldberg, 1978 reproduced by permission of NFER - NELSONMedical Research Council respiratory questionnaireStrengths and Difficulties Questionnaire (SDQ)Short-Form Health Outcomes (SF12) questionnaire Multi-stage stratified random sample Face-to-face interview Self-completion Clinical measurements Physical measurements CAPI 2000 2001 ACCIDENTS ADULTS AGE AGEING ALCOHOL USE ALCOHOLIC DRINKS ALCOHOLISM ANTHROPOMETRIC DATA ANXIETY BEDROOMS BICYCLES BLOOD BUILDING MAINTENANCE CARBOHYDRATES CARDIOVASCULAR DISE... CARDIOVASCULAR SYSTEM CARE OF DEPENDANTS CARE OF THE ELDERLY CAUSES OF DEATH CEREAL PRODUCTS CHILD BENEFITS CHILDREN CHRONIC ILLNESS CLINICAL TESTS AND ... CONCENTRATION CONFECTIONERY CONTRACEPTIVE DEVICES COUGHING CULTURAL IDENTITY DAIRY PRODUCTS DEBILITATIVE ILLNESS DEGREES DEMENTIA DEPRESSION DIABETES DIET AND EXERCISE DISABILITIES DISABLED PERSONS DISEASES DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY EDIBLE FATS EDUCATIONAL BACKGROUND ELDERLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY ETHNIC GROUPS ETHNIC MINORITIES EXAMINATIONS EXERCISE PHYSICAL A... England FAMILIES FAMILY MEMBERS FATHERS FISH AS FOOD FRIENDS FRUIT FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GARDENING GENDER GENERAL PRACTITIONERS General health and ... HAEMATOLOGIC DISEASES HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH ADVICE HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HEART DISEASES HEIGHT PHYSIOLOGY HOME OWNERSHIP HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITAL WAITING LISTS HOSPITALIZATION HOUSEHOLD HEAD S OC... HOUSEHOLDS HOUSEWORK HOUSING HOUSING TENURE Health care service... ILL HEALTH INCOME INDUSTRIAL INJURIES INDUSTRIES INJURIES JOB SEEKER S ALLOWANCE LANDLORDS LEISURE TIME ACTIVI... MANAGERS MARITAL STATUS MEAT MEDICAL CARE MEDICAL DIAGNOSIS MEDICAL HISTORY MEDICAL PRESCRIPTIONS MEMORY MILK MOTHERS MOTOR PROCESSES MOTOR VEHICLES NEIGHBOURHOODS OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONS OLD AGE PAIN PARENTS PART TIME EMPLOYMENT PASSIVE SMOKING PATIENTS PERSONAL PROTECTIVE... PHYSICAL ACTIVITIES PHYSICIANS PLACE OF BIRTH PREGNANCY PRESCRIPTION DRUGS PRIVATE SECTOR QUALIFICATIONS RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL CARE OF... RESPIRATORY SYSTEM RESPIRATORY TRACT D... RETIREMENT ROAD ACCIDENTS SALT SAVINGS SAVOURY SNACKS SELF EMPLOYED SELF ESTEEM SHARED HOME OWNERSHIP SICK LEAVE SICK PERSONS SLEEP SMOKING SMOKING CESSATION SOCIAL CLASS SOCIAL HOUSING SOCIAL INTEGRATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPORT STATE RETIREMENT PE... STRESS PSYCHOLOGICAL STUDENTS SUPERVISORS SURGERY SYMPTOMS TIED HOUSING TOBACCO TOP MANAGEMENT TRANSPORT ACCIDENTS UNEMPLOYED UNFURNISHED ACCOMMO... VASCULAR DISEASES VEGETABLES VOCATIONAL EDUCATIO... WAGES WALKING WEIGHT PHYSIOLOGY YOUTH

Provisional experimental publication of NHS vacancy statistics created from administrative data related to published vacancy adverts obtained from NHS Jobs, the main recruitment website for the NHS.

The statistics referred to in these tables are exploratory and provide information on the administrative data available from NHS Jobs as much as on the recruitment of staff.

This publication provides figures which are an insight to recruitment in the NHS but which should be treated with caution, and users are discouraged from attempting to draw any conclusions from this data at this time.

Due to a change in methodology (moving from a count of vacancy adverts to advertised vacancy full-time equivalents) these figures are not directly comparable to to each other, therefore this data should not be used to extend that time series. For further details on the change in methodology please refer to the 'Points to note' section of the publication report.

Quarterly data on staff in NHS support organisations and central bodies

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: • private patients treated in NHS hospitals • patients resident outside of England • care delivered by treatment centres (including those in the independent sector) funded by the NHS Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital, including: • clinical information about diagnoses and operations • patient information, such as age group, gender and ethnicity • administrative information, such as dates and methods of admission and discharge • geographical information such as where patients are treated and the area where they live NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published SUS data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained.

Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS, government and others including:

The Secondary Users Service (SUS) database is made up of many data items relating to A&E care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS), and are generated by the patient administration systems within each hospital. • national bodies and regulators, such as the Department of Health, NHS England, Public Health England, NHS Improvement and the CQC • local Clinical Commissioning Groups (CCGs) • provider organisations • government departments • researchers and commercial healthcare bodies • National Institute for Clinical Excellence (NICE) • patients, service users and carers • the media

Uses of the statistics The statistics are known to be used for: • national policy making • benchmarking performance against other hospital providers or CCGs
• academic research • analysing service usage and planning change • providing advice to ministers and answering a wide range of parliamentary questions • national and local press articles • international comparison More information can be found at https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity"

OMOP dataset: Hospital COVID patients: severity, acuity, therapies, outcomes Dataset number 2.0

Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases & more than 1.5 million deaths worldwide. Some individuals experience severe manifestations of infection, including viral pneumonia, adult respiratory distress syndrome (ARDS) & death. There is a pressing need for tools to stratify patients, to identify those at greatest risk. Acuity scores are composite scores which help identify patients who are more unwell to support & prioritise clinical care. There are no validated acuity scores for COVID-19 & it is unclear whether standard tools are accurate enough to provide this support. This secondary care COVID OMOP dataset contains granular demographic, morbidity, serial acuity and outcome data to inform risk prediction tools in COVID-19.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 & 2.

EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. UHB has cared for >5000 COVID admissions to date. This is a subset of data in OMOP format.

Scope: All COVID swab confirmed hospitalised patients to UHB from January – August 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.

Available supplementary data: Health data preceding & following admission event. Matched “non-COVID” controls; ambulance, 111, 999 data, synthetic data. Further OMOP data available as an additional service.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Data on how staff feel about working in the NHS Source agency: Health Designation: Official Statistics not designated as National Statistics Language: English Alternative title: NHS Staff Survey

Annual turnover figures, by Health Education England regions, for NHS Hospital and Community Health Services (HCHS) staff.

Prior to June 2013, the data is reported at Strategic Health Authority level.