Introduction: Although hospitals are key health service providers, their financial ties to drug companies have been rarely scrutinised. In developing this body of work, we examine industry payments for non-research activities to National Health Service (NHS) trusts – hospital groupings providing publicly funded secondary and tertiary care in England. Methods: We extracted data from the industry-run Disclosure UK database, analysing payment distribution descriptively and identifying trends in medians with the Jonckheere-Terpstra test. The payment value and number per NHS trust were explained using random effects models. Results: Between 2015 and 2018, 116 companies reported paying £60,253,421.86 to 235 trusts. As a share of payments to all healthcare organisations the number of payments to trusts rose from 38.64% to 39.48%, but their value dropped from 33.01% to 23.61%. While the number of all payment types rose, fees for service and consultancy and contributions to costs of events increased by 61.55% and 29.43%, respectively. The median payment values decreased significantly for trusts overall, including those with lower autonomy from central government; providing acute services; and from four of the eight regions of England. The random effects model showed that trusts with all other service profiles received a significantly lower value of payments on average than acute trusts; and trusts from East England received significantly less than those from London. However, trusts enjoying greater autonomy from government did not receive significantly more payments than others. Trusts also received significantly lower (but not fewer) payments in 2018 than in 2015. Conclusion: NHS trusts were losing importance as funding targets relative to other healthcare organisations. Industry payment strategies shifted towards engaging with NHS trusts using events sponsorship, consultancies, and smaller payments. Industry prioritised payments to trusts with specific service and geographical profiles. More granular disclosure is necessary to understand the role of corporate funding across the health system.

Data from NHS trusts about X-Rays, computed tomography (CT) and magnetic resonance imaging (MRI) scans.

The National Highway System (NHS) dataset and its geometries was updated on March 27, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Highway System consists of roadways important to the nation’s economy, defense, and mobility. The National Highway System (NHS) includes the following subsystems of roadways: Interstate - The Eisenhower Interstate System of highways, Other Principal Arterials - highways in rural and urban areas which provide access between an arterial and a major port, airport, public transportation facility, or other intermodal transportation facility, Strategic Highway Network (STRAHNET) - a network of highways which are important to the United States’ strategic defense policy and which provide defense access, continuity and emergency capabilities for defense purposes, Major Strategic Highway Network Connectors - highways which provide access between major military installations and highways which are part of the Strategic Highway Network, Intermodal Connectors - highways providing access between major intermodal facilities and the other four subsystems making up the National Highway System. A specific highway route may be on more than one subsystem. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529838

The NHS Business Services Authority (NHSBSA) publishes Secondary Care Medicines Data on behalf of NHS England (NHSE). This dataset provides 'Provisional' Secondary Care Medicines data for all NHS Acute, Teaching, Specialist, Mental Health, and Community Trusts in England. It provides information on pharmacy stock control, reflecting processed medicines data. RX Info is responsible for refreshing the Provisional data at the close of each financial year to include backtracking adjustments. The data is 'Finalised' to provide validated and complete figures for each reporting period, incorporating any updates and corrections throughout the year. The Finalised dataset serves as the definitive record for each month and year, offering the most accurate information on medicines issued. While we do not analyse changes, users can compare the finalised data with provisional data to identify any discrepancies. Key Components of the Data Quantities of Medicines Issued: Details the total quantities of medicines stock control via NHS Secondary Care services. Indicative Costs: Actual costs cannot be displayed in the dataset as NHS Hospital pricing contracts and NICE Patient Access Schemes are confidential. The indicative cost of medicines is derived from current medicines pricing data held in NHSBSA data systems (Common Drug Reference and dm+d), calculated to VMP level. Indicative costs are calculated using: Community pharmacy reimbursement prices for generic medicines. List prices for branded medicines. Care should be taken when interpreting and analysing this indicative cost as it does not reflect the net actual cost of NHS Trusts, which will differ due to the application of confidential discounts, rebates, or procurement agreements paid by hospitals when purchasing medicines. Standardisation with SNOMED CT and dm+d: SNOMED CT (Systematised Nomenclature of Medicine - Clinical Terms) is used to enhance the dataset’s compatibility with electronic health record systems and clinical decision support tools. SNOMED CT is a globally recognised coding system that provides precise definitions for clinical terms, ensuring interoperability across healthcare systems. Trust-Level Data: Data is broken down by individual NHS Trusts, enabling regional comparisons, benchmarking, and targeted analysis of specific Trusts. Medicine Identification: Medicines in the dataset are identified using Virtual Medicinal Product (VMP) codes from the Dictionary of Medicines and Devices (dm+d): VMP_PRODUCT_NAME: The name of the Virtual Medicinal Product (VMP) as defined by the dm+d, which includes key details about the product. For example: Paracetamol 500mg tablets. VMP_SNOMED_CODE: The code for the Virtual Medicinal Product (VMP), providing a unique identifier for each product. For example: 42109611000001109 represents Paracetamol 500mg tablets. You can access the finalised files in our Finalised Secondary Care Medicines Data (SCMD) with indicative price dataset. Dataset Details Service Overview Information about our NHSBSA Prescriptions Data service can be found here - Prescription data | NHSBSA The NHS Business Services Authority (NHSBSA) publishes this dataset, provided by RX Info, which contains information about pharmacy stock control in NHS Secondary Care settings across England on behalf of NHS England. It includes data from NHS Trusts and is in a standardised dm+d format (Dictionary of medicines and devices (dm+d) | NHSBSA). For further context about the Secondary Care Medicines Data, you can explore the following resources: Secondary Care Medicines Data Release Guidance v0.5 (Word: 78.3KB) RX Info: RX Info is the provider of the data related to pharmacy stock control medicines issued in NHS Secondary Care settings, which is made available by NHSBSA. Visit RX Info's website for more details. Data Source The data is sourced from NHS Trusts' pharmacy stock control systems which capture detailed records of medicines issued, including quantities. The data is provided to NHSBSA by RX Info, a data provider that supplies records on medicines issued in NHS Secondary Care settings. Data quality controls are in place to exclude transactions flagged as outliers, non-standardised items and zero activity. No personal or patient-identifiable information is included, ensuring compliance with data protection regulations. Rx-Info will provide a complete annual refresh of the data two months after the close of a financial year, planned for the end May, which will then be the fixed data set accounting for backtracking. The data for the finalised view is provided to NHSBSA. Data Collection Data is from NHS England sites only and provided under the agreement entered into by Trusts and Rx-Info (Define) facilitated by NHS England. The data owners and data controllers are the respective NHS Trusts. Time Periods Publication frequency: Data is uploaded on a monthly basis and is published retrospectively with a two-month delay. For example, January data is published in March. Historical Data: Data is available from April 2021 onwards. Geography NHS Trusts in England. Statistical Classification This is not an official statistic. A related official statistic can be found in our Prescribing Costs in Hospitals and the Community publication, which includes Secondary Care Medicines data with actual cost, broken down by British National Formulary (BNF) Section. Caveats Information: Interpreting 'Cost' Data Cost Limitations and Interpretation Indicative Costs: The costs in this dataset are indicative and do not reflect the net actual cost (including discounts and rebates) paid by hospitals when purchasing medicines. Due to confidential procurement agreements, the indicative costs will overestimate total NHS hospital expenditure. These figures are most useful for trend analysis rather than precise cost predictions.

Chi squared test, not including missing data for each variable other than NHS number*At least one social risk factor including drug use, homelessness, alcohol misuse/ abuse, prisonDescriptive analysis of case notifications dataset for records with and without an NHS number.

This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and CCGs 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 an accurate summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and CCGs 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. An issue with the linkage of unique identifiers for several thousand staff records within the ESR database was identified for the April 2022 data. This does not appear to have had a noticeable effect on the overall workforce numbers presented in this publication, and underlying records in ESR were corrected for the May 2022 provisional data. 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.

Trust-Level Data: Data is broken down by individual NHS Trusts, enabling regional comparisons, benchmarking, and targeted analysis of specific Trusts. Medicine Identification: Medicines in the dataset are identified using Virtual Medicinal Product (VMP) codes from the Dictionary of Medicines and Devices (dm+d): VMP_PRODUCT_NAME: The name of the Virtual Medicinal Product (VMP) as defined by the dm+d, which includes key details about the product. For example: Paracetamol 500mg tablets. VMP_SNOMED_CODE: The code for the Virtual Medicinal Product (VMP), providing a unique identifier for each product. For example: 42109611000001109 represents Paracetamol 500mg tablets. By making this data publicly available, the NHSBSA aims to enhance transparency, accountability, and the effective use of NHS resources. Overview of Service Information about our NHSBSA Prescriptions Data service can be found here - Prescription data | NHSBSA

With healthcare database selections covering NHS Management, Doctors, General Practice, Dentists, Care Homes and Private Hospitals, contact lists can be purchased by job role, seniority level, size and region.

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: 1. private patients treated in NHS hospitals 2. patients resident outside of England 3. 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: 1. clinical information about diagnoses and operations 2. patient information, such as age group, gender and ethnicity 3. administrative information, such as dates and methods of admission and discharge 4. 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. 1. national bodies and regulators, such as the Department of Health, NHS England, Public Health England, NHS Improvement and the CQC 2. local Clinical Commissioning Groups (CCGs) 3. provider organisations 4. government departments 5. researchers and commercial healthcare bodies 6. National Institute for Clinical Excellence (NICE) 7. patients, service users and carers 8. the media

Uses of the statistics The statistics are known to be used for: 1. national policy making 2. benchmarking performance against other hospital providers or CCGs
3. academic research 4. analysing service usage and planning change 5. providing advice to ministers and answering a wide range of parliamentary questions 6. national and local press articles 7. 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"

Abstract copyright UK Data Service and data collection copyright owner.

Background:
The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

• to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
• to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
• to collect information on previously neglected topics, such as fathers' involvement in children's care and development
• to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
• to emphasise intergenerational links including those back to the parents' own childhood
• to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available

Additional objectives subsequently included for MCS were:

• to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
• to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.
End User Licence versions of MCS studies:
The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

Sub-sample studies:
Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

Release of Sweeps 1 to 4 to Long Format (Summer 2020)To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

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 MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Secure Access datasets:
Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

Secure Access versions of the MCS...

This data package contains the hospital bed availability and occupancy data by consultant main specialty and sector as well as data on inpatient and outpatient related hospital activity in England. It also contains information on Sub-Saharan public hospitals.

Data for this publication are extracted each month as a snapshot in time from the Primary Care Registration database within the NHAIS (National Health Application and Infrastructure Services) system. This release is an accurate snapshot as at 1 March 2023. GP Practice; Primary Care Network (PCN); Sub Integrated Care Board Locations (SICBL); Integrated Care Board (ICB) and NHS England Commissioning Region level data are released in single year of age (SYOA) and 5-year age bands, both of which finish at 95+, split by gender. In addition, organisational mapping data is available to derive PCN; SICBL; ICB and Commissioning Region associated with a GP practice and is updated each month to give relevant organisational mapping. Quarterly publications in January, April, July and October will include Lower Layer Super Output Area (LSOA) populations. The outbreak of Coronavirus (COVID-19) has led to changes in the work of General Practices and subsequently the data within this publication. Until activity in this healthcare setting stabilises, we urge caution in drawing any conclusions from these data without consideration of the country's circumstances and would recommend that any uses of these data are accompanied by an appropriate caveat.

Chi squared test, not including missing data for each variable other than NHS number*It was not possible to calculate the exact age for these records as the date of their laboratory result was not recorded, but date of birth was available for all records.Descriptive analysis of laboratory dataset for records with and without an NHS number.

This report contains generic information about pacing and ICD practice in the United Kingdom and Republic of Ireland up to and including 2002.

This the Louisiana Department of Transportation & Development's Enterprise Linear Reference System (LRS) data with in Roads & Highways (R&H). Not all data stored within R&H are published here as the data is sensitive or it has not been populated in the database. Roads & Highways is edited daily and every attempt is made to ensure this data is accurate and up to date. There are known exceptions to this and the Department is working to replace, collect and edit these exceptions. As the Department works to improve the quality of the data, some datasets may be removed from this service or replaced with better quality data. Also, as FHWA changes reporting requirements, data is affected by these requirements and may change at anytime. There is typically a one day delay from when edits occur to this service being updated, edits are made continually as prioritized by the Department Executive Management.https://maps.dotd.la.gov/r_and_h_datadictionary/metadata.htm

We have worked with NHS Improvement (now NHS England) to produce a dataset on prescribing in a hospital setting which has been dispensed in the community. The data is related to items prescribed and dispensed in England. The data only includes items prescribed by NHS Hospital Trust Units which have been dispensed in the community. Cost Centre data is not included in this dataset. The data provided is based on England Hospital Trust prescribing only and may include items prescribed in England but dispensed in Wales, Scotland, Northern Ireland, Guernsey, Jersey, Alderney and the Isle of Man. The dataset excludes: • Items not dispensed, disallowed and those returned to the contractor for further clarification. • Prescriptions prescribed and dispensed in Prisons, Hospitals and Private prescriptions. • Items prescribed but not presented for dispensing or not submitted to NHS Prescription Services by the dispenser You can read more about dataset in the guidance document: Hospital prescribing dispensed in the community guidance (Word: 246KB) Notices 28 May 2024: We've updated our prescription data reports to reflect the recent changes to the discount deduction applied to pharmacy contractors monthly total of reimbursement prices, listed in the Drug Tariff Part V. For data from April 2024 (published in June) any financial report referencing actual cost includes discounts calculated according to the new methodology. You can find more details in this article: Changes to Actual Cost reporting calculation (Pharmacy only)

This data covers a time period during the coronavirus (COVID-19) pandemic, which has affected NHS services. During the pandemic, hospital services in Wales were reorganised due to enhanced infection prevention and control measures, and the need to treat COVID and non-COVID patients separately. Subsequently, planned operations were significantly reduced and non-urgent emergency admissions decreased. As a result, hospitals experienced lower occupancy rates in 2020-21 than in previous years. This table presents summary information, from the QueSt1 return, provided by the NHS Wales Informatics Service (NWIS), on bed use in Wales. Data presented in this statistical release are an annual average and illustrate yearly changing occupancy rates and bed availability. Therefore, these data won’t reflect changing levels of activity throughout the year. The data do not present data on average length of stay, turnover interval and bed use factor. These indicators are calculated using data on deaths and discharges which is no longer collected via the QS1 return, and need to be derived from the Patient Episode Database for Wales (PEDW) for 2012-13 onwards. When carrying out more detailed analysis of the deaths and discharges data from PEDW in preparation for the 2012-13 release, data quality issues arose in relation to assessment unit (AU) activity reporting in QS1 and in PEDW and how this should be treated in the data. It was identified that there is inconsistency in the reporting of assessment units, with some LHBs reporting AU activity within their beds data, and others omitting them. This inconsistency in the reporting of AU activity is also likely to affect historic data. Please find information on changes to the data published on NHS beds, as per the given weblink.

HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

The dataset brings together data from local Child Health System databases which are held by NHS Trusts and used by them to administer child immunisation and health surveillance programmes.

The dataset contains all children born, resident or treated in Wales and born after 1987.

Bridge condition ratings are based on a 0-9 scale and assigned for each culvert, or the deck, superstructure and substructure of each bridge. These ratings are recorded in the National Bridge Inventory (NBI) database. This dataset only includes data from the NBI database that in on the National Highway System (NHS). Condition ratings are an important tool for transportation asset management, as they are used to identify preventative maintenance needs, and to determine rehabilitation and replacement projects that require funding.Data from 7/7/2020