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.

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 2003 Health Survey for England (HSE03) consisted of a general population sample and was designed to provide data at both national and regional level about the population living in private households in England. All private households in the general population sample were eligible for inclusion in the survey (up to a maximum of three households per address). Up to two children aged 0-15 were interviewed in each household, as well as up to 10 adults aged 16 and over. Information was obtained directly from persons aged 13 and over. Information about children under 13 was obtained from a parent with the child present. An interview with each eligible person was followed by a nurse visit both using computer-assisted interviewing. At one sixth of the selected addresses the nurse visit was extended to include additional procedures. The survey was conducted throughout the year to take into consideration seasonal differences. For the second edition (April 2010), three new children's Body Mass Index (BMI) variables have been added to the individual data file (bmicat1, bmicat2, bmicat3). Further information is available in the documentation and on the Information Centre for Health and Social Care Health Survey for England web page. Main Topics: In 2003 the major focus of the survey was cardiovascular disease and related risk factors. Key modules covered cardiovascular disease (including questions about symptoms, diagnosed illness and use of services), and adult physical activity. Core questions covered smoking, drinking, psycho-social health (GHQ12), fruit and vegetable consumption, social support and social capital. The nurse visit was split into two sample types, standard and long. The standard nurse visit collected blood pressure measurements, saliva samples, waist and hip measurements and non-fasting blood samples. At one sixth of the selected addresses the nurse visit was extended to include a fasting blood sample (from those aged 35 and over) and a spot urine sample (from adults aged 16 and over). Standard Measures General Health Questionnaire (GHQ12) EQ-5D Health State. Multi-stage stratified random sample Face-to-face interview Self-completion Clinical measurements Physical measurements CAPI 2003 2004 ACCIDENTS AGE ALCOHOL USE ALCOHOLIC DRINKS ANTHROPOMETRIC DATA ANXIETY ATTITUDES BEDROOMS CARDIOVASCULAR DISE... CHILDREN CHRONIC ILLNESS CLINICAL TESTS AND ... CLUBS COMMUNITIES CONCENTRATION CONFECTIONERY CONTRACEPTIVE DEVICES COOKING CRIMINAL DAMAGE CULTURAL IDENTITY CYCLING DAIRY PRODUCTS DEBILITATIVE ILLNESS DEPRESSION DIABETES DIET AND EXERCISE DISABILITIES ECONOMIC ACTIVITY EDIBLE FATS EDUCATIONAL BACKGROUND EMOTIONAL STATES EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY ETHNIC GROUPS EXERCISE PHYSICAL A... England FAMILIES FATHERS FOOD FRIENDS FRUIT FURNISHED ACCOMMODA... GARDENING GENDER General health and ... HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH ADVICE HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HEART DISEASES HEIGHT PHYSIOLOGY HORMONE REPLACEMENT... HOSPITAL OUTPATIENT... HOSPITALIZATION HOURS OF WORK HOUSEHOLD INCOME HOUSEHOLDS HOUSEWORK HOUSING TENURE HUMAN SETTLEMENT Health care service... ILL HEALTH INDUSTRIES INFANTS INJURIES JOB HUNTING LANDLORDS LEGUMES LOCAL COMMUNITY FAC... MARITAL STATUS MEAT MEDICAL DIETS MEDICAL PRESCRIPTIONS MEDICINAL DRUGS MEMBERSHIP MENSTRUATION MENTAL HEALTH MILK MOTHERS MOTOR PROCESSES MOTOR VEHICLES MUSCULOSKELETAL SYSTEM NEIGHBOURS NURSES OCCUPATIONAL QUALIF... ORGANIZATIONS PAIN PARENT RESPONSIBILITY PASSIVE SMOKING PERSONAL PROTECTIVE... PHYSICAL ACTIVITIES PHYSICIANS PREGNANCY PRESERVED FOODS QUALIFICATIONS RENTED ACCOMMODATION RESIDENTIAL MOBILITY RESPIRATORY TRACT D... SAFETY EQUIPMENT SALT SAVOURY SNACKS SELF EMPLOYED SELF ESTEEM SMOKING SMOKING CESSATION SOCIAL CLASS SOCIAL NETWORKS SOCIAL PARTICIPATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPORT STRESS PSYCHOLOGICAL SUPERVISORY STATUS SURGERY TIED HOUSING TOBACCO TOP MANAGEMENT TRUST UNFURNISHED ACCOMMO... VASCULAR DISEASES VEGETABLES VITAMINS WALKING WEIGHT PHYSIOLOGY YOUTH

The aim of this project was to work with employees within a select number of NHS Trusts to co-design, deliver, and evaluate a series of mental health and wellbeing interventions for staff in these organisations. The project began with a cross-organisational survey to understand the working conditions and psychological wellbeing of employees, followed by a series of interviews and focus groups with staff. This led to the development of a wellbeing smartphone app and associated toolkit. 6-8 months following intervention dissemination, the survey and interviews were re-distributed. Within this dataset, quantitative data collected from organisations pre-and-post intervention is presented. The survey data consists of the management standards indicator tool, perceived stress, Warwick Edinburgh Mental Wellbeing Scale, Utrecht Work Engagement Scale, and hour disparity (i.e. difference between contracted hours and average hours worked each week), as well as whether the data was pre- or post-intervention.Research has widely demonstrated the impact that stress at work can have on individual health. For example work stress is related to heart disease, poorer immune system functioning and increased likelihood of developing symptoms of depression. It is the number one cause of long term sickness absence (greater than four weeks), and number two cause of short-term sickness absence, in the UK. Stress not only impacts the individual but also the organisation that they work for. For example, for every individual employed in the UK an average of 7.5 days are lost due to stress sickness absence, with that number increasing to nearly 11 days in the healthcare sector. Indeed, on average, NHS employees take more than 15 days off per year due to stress - twice the national average - with stress sickness absence levels increasing by 37% over the past 3 years. Tackling stress in the NHS is therefore such an important task that it has recently become linked to amounts of funding NHS Trusts receive each year. The main aim of this project is to design a series of stress management interventions to reduce sickness absence in three large NHS Trusts. The interventions will be co-designed with employees using a Participatory Action Research methodology. Through a series of individual interviews, focus groups, and meetings with dedicated wellbeing groups across three participating NHS Trusts, we will design interventions and a wellbeing toolkit for the improvement of stress awareness and communication which will be presented through a smartphone app. An app has been chosen for its ability to be easily accessed and distributed across a wide range and large number of individuals, and because it means information can be disseminated quickly to a wide range of NHS employees. The first of three research objectives is to co-design (alongside NHS employees), distribute, and evaluate a wellbeing toolkit for NHS staff. The toolkit will provide understanding of how to spot and what to do about the signs of work stress in self and others. The second objective is to co-design NHS-specific interventions for the improvement of working conditions. These everyday stressors significantly contribute to the experience of work stress, and thus interventions which are aimed at these stressors are highly sought after. We will therefore co-design, implement and evaluate interventions delivered by the smartphone app for the improvement of these everyday stressors. Finally, NHS organisations consist of an administrative 'hub' organisation which service numerous satellite sites (i.e. hospitals, care centres). This leads to issues with communication of wellbeing initiatives being adequately communicated across the whole organisation. This project will therefore help to disseminate this information widely across participating organisations via the smartphone application, and thus determine best practice to ensure this reach is substantial. There are clear applications for this project, from an individual employee to a wider NHS organisational perspective. Fewer individuals will be affected by stress at work, meaning that individual health will be improved in the short-to-medium term. Organisationally we aim for there to be fewer days lost due to work stress, meaning improved productivity over the short term and reduced sickness absence costs over the long term. Moving beyond the presented project, we will look to expand to a wider proportion of the NHS and other healthcare organisations. The project will also improve public knowledge of the effects of stress at work through public engagement events such as media appearances and dissemination, organisational and policy-maker understanding through an NHS staff wellbeing conference, and academic understanding via a wide range of journal and conference publications

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.

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, 2014 (MH14) was designed to provide actionable feedback to each participating trust on service users' views of the care they had received. The survey covers issues that affect the quality of care that people receive and were identified by people as important to them. Topics covered include: health and social car workers, planning care, reviewing care, crisis care, treatments and other areas of life. Further information may be found on the CQC Community Mental Health Survey, 2014 webpage. For more information please see the NHS Surveys Development Report for Community Mental Health Survey 2014. In 2014, the Community Mental Health Service User Survey was substantially redeveloped and results from 2014 onwards are not comparable with previous surveys. For the second edition (September 2016), a new version of the data was supplied, with some previous errors rectified.

The Labour Force Survey (LFS) is a survey of the population of private households, student halls of residence and NHS accommodation.

This publication contains the official statistics about uses of the Mental Health Act ('the Act') in England during 2021-22. Under the Act, people with a mental disorder may be formally detained in hospital (or 'sectioned') in the interests of their own health or safety, or for the protection of other people. They can also be treated in the community but subject to recall to hospital for assessment and/or treatment under a Community Treatment Order (CTO). In 2016-17, the way we source and produce these statistics changed. Previously these statistics were produced from the KP90 aggregate data collection. They are now primarily produced from the Mental Health Services Data Set (MHSDS). The MHSDS provides a much richer data source for these statistics, allowing for new insights into uses of the Act. People may be detained in secure psychiatric hospitals, other NHS Trusts or at Independent Service Providers (ISPs). All organisations that detain people under the Act must be registered with the Care Quality Commission (CQC). In recent years, the number of detentions under the Act have been rising. An independent review has examined how the Act is used and has made recommendations for improving the Mental Health Act legislation. In responding to the review, the government said it would introduce a new Mental Health Bill to reform practice. This publication does not cover: 1. People in hospital voluntarily for mental health treatment, as they have not been detained under the Act (see the Mental Health Bulletin). 2. Uses of section 136 where the place of safety was a police station; these are published by the Home Office. The format of the publication has changed in 2021/22. Please click on each chapter for more information on each area of the Mental Health Act.

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by home-based region to local and unitary authority level.

Including the personnel of Ministries, Independent Authorities, Decentralized Administrations, Local Governments of first and second degree and supervised Legal Entities of Public Law - Including data for the ordinary staff of the public sector, i.e. permanent employees/officials, employees under private law contracts of indefinite duration, employees with a salaried mandate and employees appointed for a term in office who become permanent after the expiry of the term (teaching and research staff-DEP, doctors of the NHS, special guards).

Healthcare teams can feel under pressure and individuals may feel that they have less autonomy. This is particularly evident following crisis events. Where teams are experiencing substantial and multiple pressures with low team social support, there is evidence of increases in depression, anxiety, compassion fatigue and ultimately problems with staff retention and patient care. To address this issue, we co-designed and piloted an arts therapies based brief team development programme. Medical Research Council (MRC) guidance was used to design a mixed methods evaluation. Two outcome measures were administered, and a qualitative open text survey underwent thematic analysis. We recruited 92 participants for the evaluation; 90 completed the open text survey and 42 participants completed the outcome measures. The qualitative analysis produced the following themes: Getting to Know the Team in a Meaningful Way; Creative Expression and Reflection; Communicating and Processing Difficult Feelings and Resistances; More Time For Processing; Practical Problems with Whole Team Engagement; Difficulty Engaging in Creative Exercises; Inclusivity and Equality; Psychological Safety. Quantitative results were significant with indications of changes to team social systems. The results of our study indicate good accessibility, acceptability and effectiveness.

Regional accounts give a description of the volume of the economic process in the various regions of a country consistent with national accounts. Elements in the economic process distinguished in national accounts are production, distribution of income, spending and financing. Regional accounts focus on the description of the production processes in the various regions.

Data available from: 1995

Status of the figures: The figures of the years 1995 to 2020 are final. Data of the year 2021 are also final, but the figures of the variables Full-time equivalent (fte), Employed persons and Hours worked are an exception, due to the late availability of annual data on self-employed persons. These final figures are published a year after. The figures of the year 2022 are provisional. Since this table has been discontinued, data of 2022 will not become final.

Changes as of December 9th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

Annual sickness absence rates of workers in the UK labour market, including number of work days lost, by country and region, sex and age group, and employment type.

Abstract

The 2022 Ghana Demographic and Health Survey (2022 GDHS) is the seventh in the series of DHS surveys conducted by the Ghana Statistical Service (GSS) in collaboration with the Ministry of Health/Ghana Health Service (MoH/GHS) and other stakeholders, with funding from the United States Agency for International Development (USAID) and other partners.

The primary objective of the 2022 GDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the GDHS collected information on: - Fertility levels and preferences, contraceptive use, antenatal and delivery care, maternal and child health, childhood mortality, childhood immunisation, breastfeeding and young child feeding practices, women’s dietary diversity, violence against women, gender, nutritional status of adults and children, awareness regarding HIV/AIDS and other sexually transmitted infections, tobacco use, and other indicators relevant for the Sustainable Development Goals - Haemoglobin levels of women and children - Prevalence of malaria parasitaemia (rapid diagnostic testing and thick slides for malaria parasitaemia in the field and microscopy in the lab) among children age 6–59 months - Use of treated mosquito nets - Use of antimalarial drugs for treatment of fever among children under age 5

The information collected through the 2022 GDHS is intended to assist policymakers and programme managers in designing and evaluating programmes and strategies for improving the health of the country’s population.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15-59

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, men aged 15-59, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

To achieve the objectives of the 2022 GDHS, a stratified representative sample of 18,450 households was selected in 618 clusters, which resulted in 15,014 interviewed women age 15–49 and 7,044 interviewed men age 15–59 (in one of every two households selected).

The sampling frame used for the 2022 GDHS is the updated frame prepared by the GSS based on the 2021 Population and Housing Census.1 The sampling procedure used in the 2022 GDHS was stratified two-stage cluster sampling, designed to yield representative results at the national level, for urban and rural areas, and for each of the country’s 16 regions for most DHS indicators. In the first stage, 618 target clusters were selected from the sampling frame using a probability proportional to size strategy for urban and rural areas in each region. Then the number of targeted clusters were selected with equal probability systematic random sampling of the clusters selected in the first phase for urban and rural areas. In the second stage, after selection of the clusters, a household listing and map updating operation was carried out in all of the selected clusters to develop a list of households for each cluster. This list served as a sampling frame for selection of the household sample. The GSS organized a 5-day training course on listing procedures for listers and mappers with support from ICF. The listers and mappers were organized into 25 teams consisting of one lister and one mapper per team. The teams spent 2 months completing the listing operation. In addition to listing the households, the listers collected the geographical coordinates of each household using GPS dongles provided by ICF and in accordance with the instructions in the DHS listing manual. The household listing was carried out using tablet computers, with software provided by The DHS Program. A fixed number of 30 households in each cluster were randomly selected from the list for interviews.

For further details on sample design, see APPENDIX A of the final report.

Mode of data collection

Face-to-face computer-assisted interviews [capi]

Research instrument

Four questionnaires were used in the 2022 GDHS: the Household Questionnaire, the Woman’s Questionnaire, the Man’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to Ghana. In addition, a self-administered Fieldworker Questionnaire collected information about the survey’s fieldworkers.

The GSS organized a questionnaire design workshop with support from ICF and obtained input from government and development partners expected to use the resulting data. The DHS Program optional modules on domestic violence, malaria, and social and behavior change communication were incorporated into the Woman’s Questionnaire. ICF provided technical assistance in adapting the modules to the questionnaires.

Cleaning operations

DHS staff installed all central office programmes, data structure checks, secondary editing, and field check tables from 17–20 October 2022. Central office training was implemented using the practice data to test the central office system and field check tables. Seven GSS staff members (four male and three female) were trained on the functionality of the central office menu, including accepting clusters from the field, data editing procedures, and producing reports to monitor fieldwork.

From 27 February to 17 March, DHS staff visited the Ghana Statistical Service office in Accra to work with the GSS central office staff on finishing the secondary editing and to clean and finalize all data received from the 618 clusters.

Response rate

A total of 18,540 households were selected for the GDHS sample, of which 18,065 were found to be occupied. Of the occupied households, 17,933 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 15,317 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 15,014 women, yielding a response rate of 98%. In the subsample of households selected for the male survey, 7,263 men age 15–59 were identified as eligible for individual interviews and 7,044 were successfully interviewed.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2022 Ghana Demographic and Health Survey (2022 GDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2022 GDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results. A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2022 GDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. The computer software used to calculate sampling errors for the GDHS 2022 is an SAS program. This program used the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables

• Age distribution of eligible and interviewed women
• Age distribution of eligible and interviewed men
• Age displacement at age 14/15
• Age displacement at age 49/50
• Pregnancy outcomes by years preceding the survey
• Completeness of reporting
• Standardisation exercise results from anthropometry training
• Height and weight data completeness and quality for children
• Height measurements from random subsample of measured children
• Interference in height and weight measurements of children
• Interference in height and weight measurements of women and men
• Heaping in anthropometric measurements for children (digit preference)
• Observation of mosquito nets
• Observation of handwashing facility
• School attendance by single year of age
• Vaccination cards photographed
• Number of

This publication looks at Accident and Emergency activity in England for the financial year 2023-24. It describes NHS accident and emergency activity and performance in hospitals in England. The data sources for this publication are the Emergency Care Data Set (ECDS) and Emergency Admissions Monthly Situation Reports (MSitAE) relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. The report includes analysis by patient demographics, time spent in A&E, distributions by time of arrival and day of week, arriving by ambulance, performance times, waits for admission and reattendances to A&E within 7 days. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Note: the MSitAE figures presented in the 'MSitAE Report Tables' file account for revisions to historic data and may therefore differ slightly from those shown in the 'Quality Indicators (CQI) Open Data' file, which is based on data published at fixed points in the year. The MSitAE data referenced throughout this report are published monthly by NHS England on the separate 'NHS England MSitAE Home Page', as linked to in the Related Links section below. This publication includes the total number of attendances for all A&E types, including Urgent Treatment Centres, Minor Injury Units and Walk-in Centres, and of these, the number discharged, admitted or transferred within four hours of arrival. Also included are the number of Emergency Admissions, and any waits of over four hours for admission following decision to admit. Contact details Author: Secondary Care Open Data and Publications; Activity Capacity & Planning, NHS England Responsible Statistician: Karl Eichler Email: enquiries@nhsdigital.nhs.uk Press enquiries should be made to: Media Relations Manager: telephone 0300 303 3888

The main function of CAMHS is to develop and deliver services for those children and young people (and their parents/carers) who are experiencing the most serious mental health problems. They also have an important role in supporting the mental health capability of the wider network of children's services. CAMHS are usually delivered by multidisciplinary teams including nurses, psychiatrists, psychologists, social workers, and others. Delivery of good quality CAMHS depends on adequate numbers of well trained staff being recruited and retained across NHSScotland. Practitioners who contribute to CAMHS include: psychiatric nurses, child and adolescent psychiatrists, clinical psychologists, social workers, psychotherapists (including child/analytical, systemic/family, cognitive behavioural), creative therapists (including art, music and drama), play therapists, liaison teachers, speech and language therapists, occupational therapists and dieticians. Timely access to healthcare is a key measure of quality and that applies equally in respect of access to mental health services. Early action is more likely to result in full recovery and, in the case of children and young people, will also minimise the impact on other aspects of their development such as their education, so improving their wider social development outcomes. CAMHS are subject to deliver an 18 week wait from referral to treatment for specialist services this has been the standard since December 2014. This supersedes the previous target of 26 weeks. The data shows the performances of the board in relation to this standard.

Abstract copyright UK Data Service and data collection copyright owner.

The Centre on the Dynamics of Ethnicity (CoDE), led by the University of Manchester with the Universities of St Andrews, Sussex, Glasgow, Edinburgh, LSE, Goldsmiths, King's College London and Manchester Metropolitan University, designed and carried out the Evidence for Equality National Survey (EVENS), with Ipsos as the survey partner. EVENS documents the lives of ethnic and religious minorities in Britain during the coronavirus pandemic and is, to date, the largest and most comprehensive survey to do so.
EVENS used online and telephone survey modes, multiple languages, and a suite of recruitment strategies to reach the target audience. Words of Colour coordinated the recruitment strategies to direct participants to the survey, and partnerships with 13 voluntary, community and social enterprise (VCSE) organisations[1] helped to recruit participants for the survey.
The ambition of EVENS was to better represent ethnic and religious minorities compared to existing data sources regarding the range and diversity of represented minority population groups and the topic coverage. Thus, the EVENS survey used an 'open' survey approach, which requires participants to opt-in to the survey instead of probability-based approaches that invite individuals to participate following their identification within a pre-defined sampling frame. This 'open' approach sought to overcome some of the limitations of probability-based methods in order to reach a large number and diverse mix of people from religious and ethnic minorities.
EVENS included a wide range of research and policy questions, including education, employment and economic well-being, housing, social, cultural and political participation, health, and experiences of racism and discrimination, particularly with respect to the impact of the COVID-19 pandemic. Crucially, EVENS covered a full range of racial, ethnic and religious groups, including those often unrepresented in such work (such as Chinese, Jewish and Traveller groups), resulting in the participation of 14,215 participants, including 9,702 ethnic minority participants and a general population sample of 4,513, composed of White people who classified themselves as English, Welsh, Scottish, Northern Irish, and British. Data collection covered the period between 16 February 2021 and 14 August 2021.
Further information about the study can be found on the EVENS project website.
A teaching dataset based on the main EVENS study is available from the UKDS under SN 9249.
[1] The VCSE organisations included Business in the Community, BEMIS (Scotland), Ethnic Minorities and Youth Support Team (Wales), Friends, Families and Travellers, Institute for Jewish Policy Research, Migrants' Rights Networks, Muslim Council Britain, NHS Race and Health Observatory, Operation Black Vote, Race Equality Foundation, Runnymede Trust, Stuart Hall Foundation, and The Ubele Initiative.
Main Topics:

Ethnic minorities, religious minorities, ethnicity, inequality, education, employment and economic well-being, housing, social participation, cultural participation, political participation, health, experiences of racism, experiences of discrimination, impact of COVID-19 pandemic.

Labour market status of disabled people, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

Leicester City Council's current pay structure for staff covered by the National Joint Council for Local Government Services and the Joint Negotiating Committee for Local Authorities Craft and Associated Employees applies to the majority of non-school staff including most Heads of Services. This dataset relates to the scales in effect for the financial year 2024-2025.

Abstract copyright UK Data Service and data collection copyright owner.The Scottish Health Survey (SHeS) series was established in 1995. Commissioned by the Scottish Government Health Directorates, the series provides regular information on aspects of the public's health and factors related to health which cannot be obtained from other sources. The SHeS series was designed to:estimate the prevalence of particular health conditions in Scotland;estimate the prevalence of certain risk factors associated with these health conditions and to document the pattern of related health behaviours;look at differences between regions and between subgroups of the population in the extent of their having these particular health conditions or risk factors, and to make comparisons with other national statistics for Scotland and England;monitor trends in the population's health over time;make a major contribution to monitoring progress towards health targets.Each survey in the series includes a set of core questions and measurements (height and weight and, if applicable, blood pressure, waist circumference, urine and saliva samples), plus modules of questions on specific health conditions that vary from year to year. Each year the core sample has also been augmented by an additional boosted sample for children. Since 2008 NHS Health Boards have also had the opportunity to boost the number of adult interviews carried out in their area. The Scottish Government Scottish Health Survey webpages contain further information about the series, including latest news and publications. The Scottish Health Survey, 2009 was designed to provide data at a national level about the population living in private households in Scotland. The sample for the 2009 survey, as in previous years, was drawn from the Postcode Address File (PAF). An initial sample of 12,668 addresses was selected and grouped into 503 interviewer batches, with around 45 batches covered each month between January and December 2009. The addresses were comprised three sample types: 7,588 formed the main sample, at which adults and children were eligible to be selected for interview 4,312 addresses formed an additional child boost sample at which only households containing children aged 0-15 were eligible to participate 768 addresses (in Grampian, Fife and Borders) formed the Health Board boost sample, at which only adults were eligible for interview. Latest edition information For the sixth edition (July 2021) OECD equivalised income derived variables were added to the individual file. The new variables are: OECD (OECD household score for equivalised income); eqvinc_15 (Equivalised income - OECD score); eqv5_15 (Equivalised Income Quintiles); and eqv10_15 (Equivalised Income Deciles). Main Topics: The questionnaire covered: general health, cardio-vascular disease and use of health services, accidents, physical activity, eating habits, fruit and vegetable consumption, smoking and drinking, dental health, dental services, social capital, discrimination and harassment, employment status, stress at work, educational background, national identity, ethnic background, religion, parental social class and health history, and body measurements. Some participants also answered attitudinal questions about their own health. The nurse visit covered: prescribed medicines, vitamin supplements, nicotine replacement therapy, blood pressure, anxiety, self-harm, food poisoning, waist and hip circumference, demi-span (65+), lung function, blood sample, saliva sample and urine sample. Multi-stage stratified random sample 2009 ACCIDENTS ADVICE AEROBIC EXERCISE AGE ALCOHOL USE ALCOHOLIC DRINKS ALCOHOLISM ANTHROPOMETRIC DATA ANXIETY ATTITUDES BALL GAMES BEREAVEMENT BEVERAGES BIRTH CONTROL BLOOD BREAST FEEDING BUILDING MAINTENANCE BULLYING CANCER CANCER PREVENTION CARDIOVASCULAR DISE... CARE OF DEPENDANTS CARS CAUSES OF DEATH CEREAL PRODUCTS CEREALS CERVICAL CANCER CHILD BEHAVIOUR CHILDREN CLINICAL TESTS AND ... COHABITING COMMUNITY PARTICIPA... COMPLEMENTARY THERA... CONCENTRATION CONFECTIONERY CONTRACEPTIVE DEVICES COUGHING CYCLING DAIRY PRODUCTS DEBILITATIVE ILLNESS DECISION MAKING DENTAL DISEASES DENTAL HEALTH DENTAL TREATMENT DEPRESSION DIABETES DIARRHOEA DIET AND EXERCISE DISABILITIES DISCRIMINATION DISEASES DRUG USE ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EMOTIONAL STATES EMPLOYEES EMPLOYERS EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS EXAMINATIONS EXERCISE PHYSICAL A... EYE DISEASES FAMILIES FAMILY MEMBERS FATHER S OCCUPATION... FATHERS FISH AS FOOD FOOD POISONING FOOD SUPPLEMENTS FRUIT FULL TIME EMPLOYMENT GARDENING GENDER GENERAL PRACTITIONERS General health and ... HAEMATOLOGIC DISEASES HEADACHES HEADS OF HOUSEHOLD HEALTH HEALTH ADVICE HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HEALTH STATUS HEART DISEASES HEIGHT PHYSIOLOGY HOSPITAL OUTPATIENT... HOSPITAL WAITING LISTS HOSPITALIZATION HOUSEHOLD INCOME HOUSEHOLDS HOUSEWORK HOUSING BENEFITS HOUSING TENURE Health behaviour ILL HEALTH IMMUNIZATION INCOME INFORMAL CARE INJURIES INTERPERSONAL CONFLICT INTERPERSONAL TRUST JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS LEGUMES LIFE SATISFACTION LIFE STYLES LIFESTYLE AND HEALTH LUNG DISEASES MANAGERS MARITAL STATUS MEAT MEDICAL CARE MEDICAL DIAGNOSIS MEDICAL EXAMINATIONS MEDICAL HISTORY MEDICAL PRESCRIPTIONS MEDICINAL DRUGS MENTAL HEALTH MILK MOTHER S OCCUPATION... MOTHERS MOTOR PROCESSES MUSCULOSKELETAL DIS... NATIONAL IDENTITY NEIGHBOURS OBESITY OCCUPATIONAL QUALIF... PAIN PARENTS PART TIME EMPLOYMENT PASSIVE SMOKING PATIENTS PHYSICAL ACTIVITIES PHYSICAL MOBILITY PHYSICIANS POTATOES POULTRY PREGNANCY PRIVATE HEALTH SERV... PRIVATE PENSIONS PUBLIC HEALTH RISKS QUALIFICATIONS RACKET GAMES RELIGIOUS AFFILIATION RESPIRATORY TRACT D... RUNNING RURAL AREAS SALT SAVINGS SAVOURY SNACKS SELF EMPLOYED SELF ESTEEM SELF HARM SEXUAL BEHAVIOUR SEXUAL HEALTH SEXUALITY SEXUALLY TRANSMITTE... SICK LEAVE SMOKING SMOKING CESSATION SOCIAL CAPITAL SOCIAL CLASS SOCIAL SECURITY BEN... SOCIAL SUPPORT SOFT DRINKS SPORT STATE RETIREMENT PE... STRESS PSYCHOLOGICAL SUGAR SUICIDE SUPERVISORS SURGERY SWIMMING SYMPTOMS Scotland Specific diseases TEETH TIME TOBACCO TOP MANAGEMENT UNEMPLOYED UNEMPLOYMENT BENEFITS URBAN AREAS VASCULAR DISEASES VEGETABLES VITAMINS VOCATIONAL EDUCATIO... WALKING WATER SPORTS WEIGHT LIFTING WEIGHT PHYSIOLOGY WORK LIFE BALANCE WORKING CONDITIONS Wounds and injuries disorders and medic...