16 datasets found
  1. d

    [MI] National Data Opt-Out

    • digital.nhs.uk
    Updated Jun 1, 2023
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    (2023). [MI] National Data Opt-Out [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/national-data-opt-out
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    Dataset updated
    Jun 1, 2023
    License

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

    Time period covered
    Jun 1, 2022 - May 1, 2023
    Description

    This publication provides statistics on the number of unique NHS numbers with an associated national data opt-out. The national data opt-out was introduced on 25 May 2018. It was introduced following recommendations from the National Data Guardian. It indicates that a patient does not want their confidential patient information to be shared for purposes beyond their individual care across the health and care system in England. The service allows individuals to set a national data opt-out or reverse a previously set opt-out. It replaced the previous type 2 opt-outs which patients registered via their GP Practice. Previous type 2 opt-outs have been converted to national data opt-outs each month, until November 2018. This is why the monthly increase in opt-outs decreases from December 2018 onward. This publication includes the number of people who have a national data opt-out, broken down by age, gender and a variety of geographical breakdowns. From June 2020 the methodology for reporting NDOP changed, representing a break in time series. Therefore, caution should be used when comparing data to publications prior to June 2020. The number of deceased people with an active NDOP has been captured and reported for the first time in June 2020. Please note that this publication is no longer released monthly. It is released annually or when the national opt-out rate changes by more than 0.1 per cent. Prior to September 2020 there is a slight inflation of less than 0.05 percent in the number of National Data Opt-outs. This is due to an issue with the data processing, which has been resolved and does not affect data after September 2020. This issue does not disproportionately affect any single breakdown, including geographies. Please take this into consideration when using the data. As of January 2023, index of multiple deprivation (IMD) data has been added to the publication, allowing the total number of opt-outs to be grouped by IMD decile. This data has been included as a new CSV, and has also been added to a new table in the summary file. IMD measures relative deprivation in small areas in England, with decile 1 representing the most deprived areas, and decile 10 representing least deprived. Please note that the figures reported in IMD decile tables will not add up to the national totals. This is because the IMD-LSOA mapping reference data was created in 2019, and any geography codes added since then will not be mapped to an IMD decile. For more information about the reference data used, please view this report: https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 Management information describes aggregate information collated and used in the normal course of business to inform operational delivery, policy development or the management of organisational performance. It is usually based on administrative data but can also be a product of survey data. We publish these management information to ensure equality of access and provide wider public value.

  2. d

    Care Information Choices

    • digital.nhs.uk
    csv, xlsx
    Updated Mar 22, 2018
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    (2018). Care Information Choices [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/care-information-choices
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    xlsx(839.0 kB), csv(1.5 MB), csv(41.8 kB), csv(1.4 MB), xlsx(643.1 kB)Available download formats
    Dataset updated
    Mar 22, 2018
    License

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

    Time period covered
    Mar 3, 2018
    Area covered
    England
    Description

    Published: 22 March 2018 - This management information publication reports on patient opt-out information that has been received from GP practices, as of March 2018. There are two types of opt-out. A type 1 opt-out prevents information being shared outside a GP practice for purposes other than direct care. A type 2 opt-out prevents information being shared outside of NHS Digital for purposes beyond the individual's direct care. A more detailed description of opt-outs is available (see related links). Type 1 and type 2 opts-outs are presented at GP practice level. Type 1 opt-outs are reported as instances (i.e. number of times the opt-out code occurs within GP records, which may include the same patient recorded at more than one practice) and there is no way to de-duplicate this information. Levels of type 1 opt-outs are therefore likely to be higher than levels of type 2 opt-outs, which are de-duplicated.

  3. c

    Community Survey: 2017 Survey Data (Opt-in Non-representative)

    • s.cnmilf.com
    • data.bloomington.in.gov
    • +1more
    Updated May 20, 2023
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    data.bloomington.in.gov (2023). Community Survey: 2017 Survey Data (Opt-in Non-representative) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/community-survey-2017-survey-data-opt-in-non-representative-c3ada
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    Dataset updated
    May 20, 2023
    Dataset provided by
    data.bloomington.in.gov
    Description

    The City of Bloomington contracted with National Research Center, Inc. to conduct the 2017 Bloomington Community Survey. This was the first time a scientific citywide survey had been completed covering resident opinions on service delivery satisfaction by the City of Bloomington and quality of life issues. This is the opt-in companion to that scientific survey. The statistically valid and representative survey results are available at https://bloomington.data.socrata.com/dataset/Community-Survey-2017-Survey-Data/p8uv-cjhr An additional 1,435 residents completed an opt-in survey online. The data in this collection is opt-in data and is provided in the interest of transparency. It is not recommended for analysis. The statistically valid and representative survey results are available at https://bloomington.data.socrata.com/stories/s/bsc2-z6t2

  4. h

    A synthetic dataset of 15,000 "patients" with Community Acquired Pneumonia...

    • healthdatagateway.org
    unknown
    Updated Feb 13, 2024
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    Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111, 999 data. (2024). A synthetic dataset of 15,000 "patients" with Community Acquired Pneumonia (CAP) [Dataset]. https://healthdatagateway.org/en/dataset/197
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    unknownAvailable download formats
    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111, 999 data.
    License

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

    Description

    Community Acquired Pneumonia (CAP) is the leading cause of infectious death and the third leading cause of death globally. Disease severity and outcomes are highly variable, dependent on host factors (such as age, smoking history, frailty and comorbidities), microbial factors (the causative organism) and what treatments are given. Clinical decision pathways are complex and despite guidelines, there is significant national variability in how guidelines are adhered to and patient outcomes.

    For clinicians treating pneumonia in the hospital setting, care of these patients can be challenging. Key decisions include the type of antibiotics (oral or intravenous), the appropriate place of care (home, hospital or intensive care), and when it is appropriate to stop antibiotics. Decision support tools to help inform clinical management would be highly valuable to the clinical community.

    This dataset is synthetic, formed from statistical modelling using real patient data, and represents a population with significant diversity in terms of patient demography, socio-economic status, CAP severity, treatments and outcomes. It can be used to develop code for deployment on real data, train data analysts and increase familiarity with this disease and its management.

    PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

    EHR. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. This synthetic dataset has been modelled to reflect data collected from this EHR.

    Scope: A synthetic dataset which has been statistically modelled on all hospitalised patients admitted to UHB with Community Acquired Pneumonia. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care including timings, admissions, escalation of care to ITU, discharge outcomes, physiology readings (heart rate, blood pressure, AVPU score and others), blood results and drug prescribing and administration.

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

  5. e

    National Health Service National Staff Survey, 2014 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 21, 2023
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    (2023). National Health Service National Staff Survey, 2014 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/5a025b83-50e8-54d7-8a05-5b24d5a23e01
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    Dataset updated
    Oct 21, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.Background The Commission for Health Improvement (CHI), in conjunction with the Department of Health (DH), appointed Aston University to develop and pilot a new national National Health Service (NHS) staff survey, commencing in 2003, and to establish an advice centre and web site to support that process. Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On the 1st April 2009, the Care Quality Commission (CQC) was formed which replaced the Healthcare Commission (users should note that some of the surveys in the series conducted prior to this date will still be attributed to the Healthcare Commission). In 2011 the Department of Health took over management of the survey. Since 2013 NHS England (NHSE) have been in charge of the survey programme. Researchers at Aston University were responsible for the initial development of the survey questionnaire instrument, and for the setting up of the NHS National Staff Survey Advice Centre. From 2011, Picker Institute Europe took over from Aston University as survey contractors. All organisations concerned worked in partnership to consult widely with NHS staff about the content of the new national survey. The work was conducted under the guidance of a stakeholder group, which contained representatives from the staff side, CQC, DH, human resources directors, Strategic Health Authorities and the NHS workforce. Aims and conduct of the survey The purpose of the annual NHS staff survey is to collect staff views about working in their local NHS trust. The survey has been designed to replace trusts' own annual staff surveys, the DH '10 core questions', and the HC 'Clinical Governance Review' staff surveys. It is intended that this one annual survey will cover the needs of HC, DH and trusts. Thus, it provides information for deriving national performance measures (including star ratings) and to help the NHS, at national and local level, work towards the 'Improving Working Lives' standard. The design also incorporates questions relating to the 'Positively Diverse Programme'. Trusts will be able to use the findings to identify how their policies are working in practice. The survey enables organisations, for the first time, to benchmark themselves against other similar NHS organisations and the NHS as a whole, on a range of measures of staff satisfaction and opinion. From 2013, the NHS Staff Survey went out to all main trust types - social enterprises, clinical commissioning groups and clinical support units were able to opt themselves in to the survey. Organisations were allowed to conduct the survey electronically and to submit data for an entire census or extended sample of their organisation. Previously the sample was restricted to 850 staff. The collection of data (i.e. the survey fieldwork) is conducted by a number of independent survey contractors (see documentation for individual survey information). The contractors are appointed directly by each NHS trust in England and are required to follow a set of detailed guidance notes supplied by the Advice Centre (see web site link above), which covers the methodology required for the survey. For example, this includes details on how to draw the random sample, the requirements for printing of questionnaires, letters to be sent to respondents, data entry and submission. At the end of the fieldwork, the data are then sent to the Advice Centre. From the data submitted, each participating NHS trust in England receives a benchmarked 'Feedback Report' from the Advice Centre, which also produces (on behalf of the Department of Health) a series of detailed spreadsheets which report details of each question covered in the survey for each participating trust in England, and also a 'Key Findings' summary report covering the survey findings at national level. Further information about the survey series and related publications are available from the Advice Centre web site (see link above). 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.

  6. h

    Cheshire and Merseyside ICB Local Primary Care Data (OMOP)

    • healthdatagateway.org
    unknown
    Updated Jan 5, 2025
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    (2025). Cheshire and Merseyside ICB Local Primary Care Data (OMOP) [Dataset]. https://healthdatagateway.org/dataset/1248
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    unknownAvailable download formats
    Dataset updated
    Jan 5, 2025
    License

    https://northwestsde.nhs.uk/for-sde-users/apply-to-use-the-sdehttps://northwestsde.nhs.uk/for-sde-users/apply-to-use-the-sde

    Description

    This OMOP CDM is built from a flow of primary care data from Cheshire and Merseyside GPs who have signed the ICB Data Sharing Agreement for Population Health. Patients who have signalled that they wish to opt out of their records being shared for secondary uses (i.e. uses beyond Direct Patient Care) are removed as per national data opt-out policy. The source data is refreshed weekly (Sunday evenings) and the data set includes a long list of fields relating to: NHS number, allergies, medications issued, Repeat medications, Covid-19 status, Active and Past Problems, GP Results, Vitals & Measurements (height/weight, BP, physiological function result), Lifestyle factors (smoking and alcohol), GP encounters, vaccinations and immunisations, Contraindications, OTC and Prophylactic Therapy, Family History, Child Health, Diabetes Diagnosis, Chronic Disease Monitoring.

  7. E

    Views on sharing mental and physical health data among people with and...

    • find.data.gov.scot
    • dtechtive.com
    pdf, txt, xlsx
    Updated Jul 11, 2022
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    University of Edinburgh. Centre for Clinical Brain Sciences. (2022). Views on sharing mental and physical health data among people with and without experience of mental illness [Dataset]. http://doi.org/10.7488/ds/3486
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    pdf(3.249 MB), xlsx(0.8587 MB), xlsx(0.021 MB), txt(0.0023 MB), txt(0.0166 MB)Available download formats
    Dataset updated
    Jul 11, 2022
    Dataset provided by
    University of Edinburgh. Centre for Clinical Brain Sciences.
    License

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

    Area covered
    UNITED KINGDOM
    Description

    This dataset contains responses from an online survey of 2187 participants primarily located in the UK. All participants stated that they had used the UK National Health Service (NHS) at some time in their lives. The data were collected between December 2018 and August 2019. Participants' views on data sharing - this dataset contains information about people's willingness to share mental and physical health data for research purposes. It also includes information on willingness to share other types of data, such as financial information. The dataset includes participants' responses to questions relating to mental health data sharing, including the trustworthiness of organisations which use such data, how much the presence of different governance measures (such as deidentification, opt-out, etc.) would alter their views, and whether they would be less likely to access NHS mental health services if they knew their data might be shared with researchers. Participants' satisfaction and interaction with UK mental and physical health services - the dataset includes information regarding participants' views on and interaction with NHS services. This includes ratings of satisfaction at first contact and in the previous 12 months, frequency of use, and type of treatment received. Information about participants - the dataset includes information about participants' mental and physical health, including whether or not they have experience with specific mental health conditions, and how they would rate their mental and physical health at the time of the survey. There is also basic demographic information about the participants (e.g. age, gender, location etc.).

  8. e

    National Health Service National Staff Survey, 2004 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 25, 2023
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    (2023). National Health Service National Staff Survey, 2004 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/4c77abef-6a6c-5a79-a041-90535e035da4
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    Dataset updated
    Apr 25, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.Background The Commission for Health Improvement (CHI), in conjunction with the Department of Health (DH), appointed Aston University to develop and pilot a new national National Health Service (NHS) staff survey, commencing in 2003, and to establish an advice centre and web site to support that process. Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On the 1st April 2009, the Care Quality Commission (CQC) was formed which replaced the Healthcare Commission (users should note that some of the surveys in the series conducted prior to this date will still be attributed to the Healthcare Commission). In 2011 the Department of Health took over management of the survey. Since 2013 NHS England (NHSE) have been in charge of the survey programme. Researchers at Aston University were responsible for the initial development of the survey questionnaire instrument, and for the setting up of the NHS National Staff Survey Advice Centre. From 2011, Picker Institute Europe took over from Aston University as survey contractors. All organisations concerned worked in partnership to consult widely with NHS staff about the content of the new national survey. The work was conducted under the guidance of a stakeholder group, which contained representatives from the staff side, CQC, DH, human resources directors, Strategic Health Authorities and the NHS workforce. Aims and conduct of the survey The purpose of the annual NHS staff survey is to collect staff views about working in their local NHS trust. The survey has been designed to replace trusts' own annual staff surveys, the DH '10 core questions', and the HC 'Clinical Governance Review' staff surveys. It is intended that this one annual survey will cover the needs of HC, DH and trusts. Thus, it provides information for deriving national performance measures (including star ratings) and to help the NHS, at national and local level, work towards the 'Improving Working Lives' standard. The design also incorporates questions relating to the 'Positively Diverse Programme'. Trusts will be able to use the findings to identify how their policies are working in practice. The survey enables organisations, for the first time, to benchmark themselves against other similar NHS organisations and the NHS as a whole, on a range of measures of staff satisfaction and opinion. From 2013, the NHS Staff Survey went out to all main trust types - social enterprises, clinical commissioning groups and clinical support units were able to opt themselves in to the survey. Organisations were allowed to conduct the survey electronically and to submit data for an entire census or extended sample of their organisation. Previously the sample was restricted to 850 staff. The collection of data (i.e. the survey fieldwork) is conducted by a number of independent survey contractors (see documentation for individual survey information). The contractors are appointed directly by each NHS trust in England and are required to follow a set of detailed guidance notes supplied by the Advice Centre (see web site link above), which covers the methodology required for the survey. For example, this includes details on how to draw the random sample, the requirements for printing of questionnaires, letters to be sent to respondents, data entry and submission. At the end of the fieldwork, the data are then sent to the Advice Centre. From the data submitted, each participating NHS trust in England receives a benchmarked 'Feedback Report' from the Advice Centre, which also produces (on behalf of the Department of Health) a series of detailed spreadsheets which report details of each question covered in the survey for each participating trust in England, and also a 'Key Findings' summary report covering the survey findings at national level. Further information about the survey series and related publications are available from the Advice Centre web site (see link above). 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. See documentation for further details.

  9. D

    Hospice Services Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Hospice Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-hospice-services-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hospice Services Market Outlook



    The global hospice services market size was valued at approximately USD 28 billion in 2023 and is projected to reach USD 45 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.5%. The increasing need for palliative care due to an aging population and a rise in chronic disease prevalence are key factors driving this growth. The market is experiencing robust demand as healthcare systems across the globe are increasingly recognizing the necessity for compassionate end-of-life care, which is both patient and family-centered. This growth trajectory is further supported by evolving healthcare regulations and policies that emphasize quality of care and cost-effectiveness, positioning hospice services as an integral component of holistic healthcare.



    Several factors underpin the growth of the hospice services market. The aging global population is a primary catalyst, as the proportion of elderly individuals continues to rise, leading to an increased occurrence of chronic illnesses such as cancer, dementia, and heart diseases. These conditions often necessitate prolonged care and management, which hospice services are particularly well-equipped to provide. Additionally, there is a growing societal shift towards valuing quality of life over mere extension of life, encouraging both families and patients to opt for hospice services. This shift is supported by greater public awareness and education regarding the benefits of palliative care, as well as improvements in the training of healthcare professionals in managing end-of-life care.



    Technological advancements also play a significant role in the evolution and expansion of hospice services. Enhanced communication tools and electronic health records (EHRs) facilitate better coordination among care teams, ensuring that patients receive comprehensive and continuous care. Telehealth has emerged as a crucial enabler, extending the reach of hospice services to remote locations and underserved populations. This technology-driven approach not only broadens access but also enhances the quality and efficiency of care delivered, making hospice services more appealing to both patients and providers. Furthermore, innovations in pain management and symptom control therapies continue to improve patient comfort, a key focus of hospice care.



    Another significant growth factor is the increasing governmental and insurance support for hospice services, which is helping to alleviate financial burdens on patients and their families. In many developed countries, hospice care is often covered by national health plans or private insurance, making it a financially viable option for many. Government policies that incentivize hospitals and healthcare centers to offer hospice care are also contributing to the market's growth. This support is crucial in bolstering the infrastructure necessary for providing high-quality hospice services, ensuring that the demand can be met with sufficient supply and quality assurance.



    Regionally, North America currently dominates the hospice services market, attributed to its well-established healthcare infrastructure and high awareness and acceptance of hospice care. However, significant growth is anticipated in the Asia Pacific region, propelled by rapid economic development, urbanization, and an increasing burden of chronic illnesses. Rising healthcare expenditure and improving healthcare policies in countries such as China and India are likely to further bolster market growth in this region. Meanwhile, the European market is expected to maintain steady growth due to robust healthcare systems and continued investment in palliative care services. The Middle East & Africa and Latin America regions are also set to witness growth, although they currently constitute a smaller market share due to varying degrees of healthcare infrastructure development and awareness levels.



    Service Type Analysis



    Routine Home Care is the most common type of hospice service, comprising a significant portion of the market due to its comprehensive approach to caring for patients in their homes. This service type is characterized by regular visits from healthcare professionals who provide medical care, pain management, and emotional and spiritual support to patients and their families. Routine Home Care is particularly beneficial for patients who prefer to spend their final days in the comfort of their own homes, surrounded by loved ones. The demand for this type of care is increasing as it aligns with the broader trend towards home-based healthcare, driven by patient preferences and cost-effectiveness.


    <br

  10. f

    HIV Testing Implementation in Two Urban Cities

    • figshare.com
    xlsx
    Updated Jan 19, 2016
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    Camden Hallmark; Jennifer Skillicorn; Thomas P. Giordano; Jessica A. Davila; Marlene McNeese; Nestor Rocha; Avemaria Smith; Stacey Cooper; Amanda D. Castel (2016). HIV Testing Implementation in Two Urban Cities [Dataset]. http://doi.org/10.6084/m9.figshare.1050545.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Authors
    Camden Hallmark; Jennifer Skillicorn; Thomas P. Giordano; Jessica A. Davila; Marlene McNeese; Nestor Rocha; Avemaria Smith; Stacey Cooper; Amanda D. Castel
    License

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

    Description

    Abstract Background: Although funding has supported the scale up of routine, opt-out HIV testing in the US, variance in implementation mechanisms and barriers in high-burden jurisdictions remains unknown. Methods: We conducted a survey of health care organizations in Washington, DC and Houston/Harris County to determine number of HIV tests completed in 2011, policy and practices associated with HIV testing, funding mechanisms, and reported barriers to testing in each jurisdiction and to compare results between jurisdictions. Results: In 2012, 43 Houston and 35 DC HIV-testing organizations participated in the survey. Participants represented 85% of Department of Health-supported testers in DC and 90% of Department of Health-supported testers in Houston. The median number of tests per organization was 568 in DC and 1045 in Houston. Approximately 50% of organizations in both DC and Houston exclusively used opt-in consent and most conducted both pre- and post-test counseling with HIV testing (80% of organizations in DC, 70% in Houston). While the most frequent source of funding in DC was the Department of Health, Houston organizations primarily billed the patient or third-party payers. Barriers to testing most often reported were lack of funding, followed by patient discomfort/refusal with more barriers reported in DC. Conclusions: Given unique policies, resources and programmatic contexts, DC and Houston have taken different approaches to support routine testing. Many organizations in both cities reported opt-in consent approaches and pre-test counseling, suggesting 2006 national HIV testing recommendations are not being followed consistently. Addressing the barriers to testing identified in each jurisdiction may improve expansion of testing.

  11. b

    Reception prevalence of overweight (including obesity), 3 years data...

    • cityobservatory.birmingham.gov.uk
    csv, excel, geojson +1
    Updated Jul 3, 2025
    + more versions
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    (2025). Reception prevalence of overweight (including obesity), 3 years data combined - Birmingham Wards [Dataset]. https://cityobservatory.birmingham.gov.uk/explore/dataset/reception-prevalence-of-overweight-including-obesity-3-years-data-combined-birmingham-wards/
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    excel, csv, geojson, jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Area covered
    Birmingham
    Description

    Proportion of children aged 4 to 5 years classified as overweight or living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

    Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

    It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

    The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

    1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

    2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

    3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

    Definition of numerator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP with a BMI classified as overweight or living with obesity, including severe obesity (BMI on or above the 85th centile of the UK90 growth reference).

    Definition of denominator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP.

    Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

  12. Value of household consumption on healthcare Thailand 2011-2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Value of household consumption on healthcare Thailand 2011-2023 [Dataset]. https://www.statista.com/statistics/1029530/thailand-value-household-expenditure-healthcare/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Thailand
    Description

    In 2023, the value of household expenditure on healthcare amounted to approximately ***** billion Thai baht. The healthcare sector contributes to Thailand’s gross domestic product (GDP) greatly, its contribution has been steadily increasing in the past decade. Healthcare coverage in Thailand The majority of the Thai population is covered by the Universal Coverage Scheme, or UCS. This scheme allows Thai citizens to receive health care and medical treatments provided in public hospitals. The advantage of UCS is the comprehensive healthcare accessibility with a fee of as little as one dollar. However, the disadvantage of such a scheme is that only public hospitals participate in this scheme. Therefore, the waiting time can be lengthy. Since 2010, the Thai government has been adding more budget to the Universal Coverage Scheme, reaching more than *** billion Thai baht in 2023. Apart from public health insurance, the Thai people can also opt for private health insurance.

    Private health insurance in Thailand Health insurance is the leading insurance product in Thailand, with the number of health insurance policies amounting to over a million every year since 2019. As of 2022, Cigna Health and Aetna Health were among the leading providers of health insurance in Thailand. The primary factor that consumers in Thailand consider when purchasing insurance is the coverage provided by the policy, including but not limited to inpatient and day-patient treatments, emergency services, and other related services.

  13. b

    Year 6 prevalence of overweight (including obesity), 3 years data combined -...

    • cityobservatory.birmingham.gov.uk
    csv, excel, geojson +1
    Updated Jul 3, 2025
    + more versions
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    (2025). Year 6 prevalence of overweight (including obesity), 3 years data combined - Birmingham Wards [Dataset]. https://cityobservatory.birmingham.gov.uk/explore/dataset/year-6-prevalence-of-overweight-including-obesity-3-years-data-combined-birmingham-wards/
    Explore at:
    excel, json, csv, geojsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Area covered
    Birmingham
    Description

    Proportion of children aged 10 to 11 years classified as overweight or living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

    Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

    It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

    The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

    1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

    2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

    3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

    Definition of numerator Number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP with a BMI classified as overweight or living with obesity, including severe obesity (BMI on or above the 85th centile of the UK90 growth reference).

    Definition of denominator The number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP.

    Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

  14. e

    National Health Service National Staff Survey, 2008 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 28, 2023
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    (2023). National Health Service National Staff Survey, 2008 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/df5e68fd-139c-5fd0-96c0-bc3339f4ec6b
    Explore at:
    Dataset updated
    Apr 28, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.Background The Commission for Health Improvement (CHI), in conjunction with the Department of Health (DH), appointed Aston University to develop and pilot a new national National Health Service (NHS) staff survey, commencing in 2003, and to establish an advice centre and web site to support that process. Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On the 1st April 2009, the Care Quality Commission (CQC) was formed which replaced the Healthcare Commission (users should note that some of the surveys in the series conducted prior to this date will still be attributed to the Healthcare Commission). In 2011 the Department of Health took over management of the survey. Since 2013 NHS England (NHSE) have been in charge of the survey programme. Researchers at Aston University were responsible for the initial development of the survey questionnaire instrument, and for the setting up of the NHS National Staff Survey Advice Centre. From 2011, Picker Institute Europe took over from Aston University as survey contractors. All organisations concerned worked in partnership to consult widely with NHS staff about the content of the new national survey. The work was conducted under the guidance of a stakeholder group, which contained representatives from the staff side, CQC, DH, human resources directors, Strategic Health Authorities and the NHS workforce. Aims and conduct of the survey The purpose of the annual NHS staff survey is to collect staff views about working in their local NHS trust. The survey has been designed to replace trusts' own annual staff surveys, the DH '10 core questions', and the HC 'Clinical Governance Review' staff surveys. It is intended that this one annual survey will cover the needs of HC, DH and trusts. Thus, it provides information for deriving national performance measures (including star ratings) and to help the NHS, at national and local level, work towards the 'Improving Working Lives' standard. The design also incorporates questions relating to the 'Positively Diverse Programme'. Trusts will be able to use the findings to identify how their policies are working in practice. The survey enables organisations, for the first time, to benchmark themselves against other similar NHS organisations and the NHS as a whole, on a range of measures of staff satisfaction and opinion. From 2013, the NHS Staff Survey went out to all main trust types - social enterprises, clinical commissioning groups and clinical support units were able to opt themselves in to the survey. Organisations were allowed to conduct the survey electronically and to submit data for an entire census or extended sample of their organisation. Previously the sample was restricted to 850 staff. The collection of data (i.e. the survey fieldwork) is conducted by a number of independent survey contractors (see documentation for individual survey information). The contractors are appointed directly by each NHS trust in England and are required to follow a set of detailed guidance notes supplied by the Advice Centre (see web site link above), which covers the methodology required for the survey. For example, this includes details on how to draw the random sample, the requirements for printing of questionnaires, letters to be sent to respondents, data entry and submission. At the end of the fieldwork, the data are then sent to the Advice Centre. From the data submitted, each participating NHS trust in England receives a benchmarked 'Feedback Report' from the Advice Centre, which also produces (on behalf of the Department of Health) a series of detailed spreadsheets which report details of each question covered in the survey for each participating trust in England, and also a 'Key Findings' summary report covering the survey findings at national level. Further information about the survey series and related publications are available from the Advice Centre web site (see link above). As in 2007, the 2008 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 were a few sector specific questions. For the second edition (August 2015) an updated version of the data was deposited, with amendments made to the occupational group variable Occ_da. Main Topics:Topics covered in the survey include: work-life balance; appraisal; training, learning and development; team working; health and safety; errors and incidents witnessed; job characteristics and arrangements; management and 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; (mental health) - mental health specific training; partnership working. See documentation for further details.

  15. e

    National Health Service National Staff Survey, 2011 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated May 1, 2023
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    (2023). National Health Service National Staff Survey, 2011 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/4a847f01-fa03-5585-8b84-457a93721f29
    Explore at:
    Dataset updated
    May 1, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.Background The Commission for Health Improvement (CHI), in conjunction with the Department of Health (DH), appointed Aston University to develop and pilot a new national National Health Service (NHS) staff survey, commencing in 2003, and to establish an advice centre and web site to support that process. Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On the 1st April 2009, the Care Quality Commission (CQC) was formed which replaced the Healthcare Commission (users should note that some of the surveys in the series conducted prior to this date will still be attributed to the Healthcare Commission). In 2011 the Department of Health took over management of the survey. Since 2013 NHS England (NHSE) have been in charge of the survey programme. Researchers at Aston University were responsible for the initial development of the survey questionnaire instrument, and for the setting up of the NHS National Staff Survey Advice Centre. From 2011, Picker Institute Europe took over from Aston University as survey contractors. All organisations concerned worked in partnership to consult widely with NHS staff about the content of the new national survey. The work was conducted under the guidance of a stakeholder group, which contained representatives from the staff side, CQC, DH, human resources directors, Strategic Health Authorities and the NHS workforce. Aims and conduct of the survey The purpose of the annual NHS staff survey is to collect staff views about working in their local NHS trust. The survey has been designed to replace trusts' own annual staff surveys, the DH '10 core questions', and the HC 'Clinical Governance Review' staff surveys. It is intended that this one annual survey will cover the needs of HC, DH and trusts. Thus, it provides information for deriving national performance measures (including star ratings) and to help the NHS, at national and local level, work towards the 'Improving Working Lives' standard. The design also incorporates questions relating to the 'Positively Diverse Programme'. Trusts will be able to use the findings to identify how their policies are working in practice. The survey enables organisations, for the first time, to benchmark themselves against other similar NHS organisations and the NHS as a whole, on a range of measures of staff satisfaction and opinion. From 2013, the NHS Staff Survey went out to all main trust types - social enterprises, clinical commissioning groups and clinical support units were able to opt themselves in to the survey. Organisations were allowed to conduct the survey electronically and to submit data for an entire census or extended sample of their organisation. Previously the sample was restricted to 850 staff. The collection of data (i.e. the survey fieldwork) is conducted by a number of independent survey contractors (see documentation for individual survey information). The contractors are appointed directly by each NHS trust in England and are required to follow a set of detailed guidance notes supplied by the Advice Centre (see web site link above), which covers the methodology required for the survey. For example, this includes details on how to draw the random sample, the requirements for printing of questionnaires, letters to be sent to respondents, data entry and submission. At the end of the fieldwork, the data are then sent to the Advice Centre. From the data submitted, each participating NHS trust in England receives a benchmarked 'Feedback Report' from the Advice Centre, which also produces (on behalf of the Department of Health) a series of detailed spreadsheets which report details of each question covered in the survey for each participating trust in England, and also a 'Key Findings' summary report covering the survey findings at national level. Further information about the survey series and related publications are available from the Advice Centre web site (see link above). As in previous years, the 2011 survey contained different versions of the core questionnaire for each of the four main sectors (acute, ambulance, mental health and primary care). The majority of the content is the same across the different versions of the core questionnaire but there are a few sector-specific questions. A few questions were dropped and some added for 2011 - see the Guidance Notes document for details of changes. For the second edition (August 2015) the variable Occgrp was removed from the data at the depositor’s request. The data can be analysed by occupational group using the variable Occ_da. Main Topics:Topics covered in the survey include: work-life balance; appraisal; training, learning and development; team working; health and safety; errors and incidents witnessed; job characteristics and arrangements; management and 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.

  16. e

    National Health Service National Staff Survey, 2005 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 29, 2023
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    (2023). National Health Service National Staff Survey, 2005 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/463e46a4-5d33-5f44-9cee-654099f52437
    Explore at:
    Dataset updated
    Apr 29, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.Background The Commission for Health Improvement (CHI), in conjunction with the Department of Health (DH), appointed Aston University to develop and pilot a new national National Health Service (NHS) staff survey, commencing in 2003, and to establish an advice centre and web site to support that process. Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On the 1st April 2009, the Care Quality Commission (CQC) was formed which replaced the Healthcare Commission (users should note that some of the surveys in the series conducted prior to this date will still be attributed to the Healthcare Commission). In 2011 the Department of Health took over management of the survey. Since 2013 NHS England (NHSE) have been in charge of the survey programme. Researchers at Aston University were responsible for the initial development of the survey questionnaire instrument, and for the setting up of the NHS National Staff Survey Advice Centre. From 2011, Picker Institute Europe took over from Aston University as survey contractors. All organisations concerned worked in partnership to consult widely with NHS staff about the content of the new national survey. The work was conducted under the guidance of a stakeholder group, which contained representatives from the staff side, CQC, DH, human resources directors, Strategic Health Authorities and the NHS workforce. Aims and conduct of the survey The purpose of the annual NHS staff survey is to collect staff views about working in their local NHS trust. The survey has been designed to replace trusts' own annual staff surveys, the DH '10 core questions', and the HC 'Clinical Governance Review' staff surveys. It is intended that this one annual survey will cover the needs of HC, DH and trusts. Thus, it provides information for deriving national performance measures (including star ratings) and to help the NHS, at national and local level, work towards the 'Improving Working Lives' standard. The design also incorporates questions relating to the 'Positively Diverse Programme'. Trusts will be able to use the findings to identify how their policies are working in practice. The survey enables organisations, for the first time, to benchmark themselves against other similar NHS organisations and the NHS as a whole, on a range of measures of staff satisfaction and opinion. From 2013, the NHS Staff Survey went out to all main trust types - social enterprises, clinical commissioning groups and clinical support units were able to opt themselves in to the survey. Organisations were allowed to conduct the survey electronically and to submit data for an entire census or extended sample of their organisation. Previously the sample was restricted to 850 staff. The collection of data (i.e. the survey fieldwork) is conducted by a number of independent survey contractors (see documentation for individual survey information). The contractors are appointed directly by each NHS trust in England and are required to follow a set of detailed guidance notes supplied by the Advice Centre (see web site link above), which covers the methodology required for the survey. For example, this includes details on how to draw the random sample, the requirements for printing of questionnaires, letters to be sent to respondents, data entry and submission. At the end of the fieldwork, the data are then sent to the Advice Centre. From the data submitted, each participating NHS trust in England receives a benchmarked 'Feedback Report' from the Advice Centre, which also produces (on behalf of the Department of Health) a series of detailed spreadsheets which report details of each question covered in the survey for each participating trust in England, and also a 'Key Findings' summary report covering the survey findings at national level. Further information about the survey series and related publications are available from the Advice Centre web site (see link above). 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. See documentation for further details.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2023). [MI] National Data Opt-Out [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/national-data-opt-out

[MI] National Data Opt-Out

[MI] National Data Opt-out, May 2023

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14 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 1, 2023
License

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

Time period covered
Jun 1, 2022 - May 1, 2023
Description

This publication provides statistics on the number of unique NHS numbers with an associated national data opt-out. The national data opt-out was introduced on 25 May 2018. It was introduced following recommendations from the National Data Guardian. It indicates that a patient does not want their confidential patient information to be shared for purposes beyond their individual care across the health and care system in England. The service allows individuals to set a national data opt-out or reverse a previously set opt-out. It replaced the previous type 2 opt-outs which patients registered via their GP Practice. Previous type 2 opt-outs have been converted to national data opt-outs each month, until November 2018. This is why the monthly increase in opt-outs decreases from December 2018 onward. This publication includes the number of people who have a national data opt-out, broken down by age, gender and a variety of geographical breakdowns. From June 2020 the methodology for reporting NDOP changed, representing a break in time series. Therefore, caution should be used when comparing data to publications prior to June 2020. The number of deceased people with an active NDOP has been captured and reported for the first time in June 2020. Please note that this publication is no longer released monthly. It is released annually or when the national opt-out rate changes by more than 0.1 per cent. Prior to September 2020 there is a slight inflation of less than 0.05 percent in the number of National Data Opt-outs. This is due to an issue with the data processing, which has been resolved and does not affect data after September 2020. This issue does not disproportionately affect any single breakdown, including geographies. Please take this into consideration when using the data. As of January 2023, index of multiple deprivation (IMD) data has been added to the publication, allowing the total number of opt-outs to be grouped by IMD decile. This data has been included as a new CSV, and has also been added to a new table in the summary file. IMD measures relative deprivation in small areas in England, with decile 1 representing the most deprived areas, and decile 10 representing least deprived. Please note that the figures reported in IMD decile tables will not add up to the national totals. This is because the IMD-LSOA mapping reference data was created in 2019, and any geography codes added since then will not be mapped to an IMD decile. For more information about the reference data used, please view this report: https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 Management information describes aggregate information collated and used in the normal course of business to inform operational delivery, policy development or the management of organisational performance. It is usually based on administrative data but can also be a product of survey data. We publish these management information to ensure equality of access and provide wider public value.

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