17 datasets found
  1. h

    Surgical Virtual Ward Outcomes for Patients Aged 65 and Older in New Care...

    • healthdatagateway.org
    unknown
    Updated Dec 13, 2024
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2024). Surgical Virtual Ward Outcomes for Patients Aged 65 and Older in New Care Models [Dataset]. https://healthdatagateway.org/en/dataset/1012
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    unknownAvailable download formats
    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

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

    Description

    Virtual wards (VW) provide care at home with remote monitoring for people who do not need admission to hospital, but require hospital-led care. NHS England (NHSE) has requested an extension of a VW model of care,with a national ambition of developing 40-50 VW ‘beds’ per 100,000 population. It is important that these new models of care benefit older adults,as they make up the majority of unplanned hospital admissions.

    ​The Surgical Assessment Unit VW manages patients who are clinically suitable for home while waiting for investigation or treatment for an acute surgical condition.

    To support a better evidence base for surgical VW, PIONEER has curated a highly granular dataset of 451,306 spells for patients aged 65 and older, eligible for the Virtual Surgical Assessment Unit (VSAU). The dataset includes a proportion of patients admitted to the VSAU and those remaining in traditional care pathways. It covers demography, comorbidities, presenting symptoms, serial physiology, diagnoses, investigations, treatments (including procedures), and outcomes. Admissions span from 2018 to 2023, with potential for expansion to other timelines of interest.

    Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. 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 & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details. Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements. Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

  2. T

    Turkey Medical Doctors

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Turkey Medical Doctors [Dataset]. https://tradingeconomics.com/turkey/medical-doctors
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    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    Türkiye
    Description

    Medical Doctors in Turkey increased to 2.18 per 1000 people in 2021 from 2.05 per 1000 people in 2020. This dataset includes a chart with historical data for Turkey Medical Doctors.

  3. f

    The development of optic neuropathy after chronic rhinosinusitis: A...

    • figshare.com
    docx
    Updated Jun 5, 2023
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    Chan-Wei Nien; Chia-Yi Lee; Pei-Hsuan Wu; Hung-Chi Chen; Jessie Chao-Yun Chi; Chi-Chin Sun; Jing-Yang Huang; Hung-Yu Lin; Shun-Fa Yang (2023). The development of optic neuropathy after chronic rhinosinusitis: A population-based cohort study [Dataset]. http://doi.org/10.1371/journal.pone.0220286
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Chan-Wei Nien; Chia-Yi Lee; Pei-Hsuan Wu; Hung-Chi Chen; Jessie Chao-Yun Chi; Chi-Chin Sun; Jing-Yang Huang; Hung-Yu Lin; Shun-Fa Yang
    License

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

    Description

    BackgroundTo evaluate the risk of developing optic neuropathy (ON) in patient with both non-surgery and surgery-indicated chronic rhinosinusitis (CRS) via the national health insurance research database in Taiwan.Methodology/Principal findings44,176 Patients with a diagnostic code of CRS was selected, which included 6,678 received functional endoscopic sinus surgery (FESS) regarded as the surgery-indicated CRS. Each individual in the study group was matched to two non-CRS patients by age and gender. The outcome was set as the occurrence of ON according to the diagnostic codes occurred after the index date. Poisson regression was used to calculate the adjusted relative risk (aRR) and conditional Cox proportional model was used to estimate the adjusted hazard ratio (aHR). There were 131 and 144 events of ON occurred in the study group and the control group respectively during the follow-up period. The whole study group, whether received FESS or not, demonstrated both significant aRR and aHR compared to the control group after adjusting demographic data, prominent ocular diseases, and systemic co-morbidities. In addition, both the aRR and aHR were higher in CRS patient received FESS than those with CRS but without FESS management.ConclusionThe existence of CRS, especially the surgery-indicated CRS is a significant risk factor for the following ON using multivariable analysis.

  4. Toggle Action Menu Bookmarks Download Queue Feedback Close Bookmarks...

    • data.gov.hk
    Updated Jul 25, 2024
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    data.gov.hk (2024). Toggle Action Menu Bookmarks Download Queue Feedback Close Bookmarks Download Queue Feedback Back to Top Download Queue You have not added anything to the queue yet.Add datasets to the download queue if you want to download multiple datasets in one go. Browse Data Show / Hide sidebar RSS Feed Description This daily updated RSS feed, provides information on data files at DATA.GOV.HK that are either newly made available or with destination path updated in the past 14 days. About RSS Really Simple Syndication (“RSS”) is a file in eXtensible Markup Language (“XML”) format to deliver regular updates to users who are interested in specific content by subscribing the feed. Subscribers can view the subscribed feeds with any RSS reader or browser with built-in RSS reader. RSS URL https://data.gov.hk/filestore/feeds/data_rss_en.xml Subscribe RSS Subscribe RSS [Dataset]. https://data.gov.hk/en-data/dataset/hk-dh-dh_ncddhss-ncdd-dataset-5
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    data.gov.hk
    Description

    Number of doctors per 10,000 population Source: Doctors - Boards and Councils Office, Department of Health Population - Demographic Statistics Section (1), Census and Statistics Department

  5. f

    Table_1_In-Hospital Mortality Risk Model of Gastric Cancer Surgery: Analysis...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
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    Zhouqiao Wu; Huimin Cheng; Fei Shan; Xiangji Ying; Rulin Miao; Jianhong Dong; Yihong Sun; Aman Xu; Yanbing Zhou; Yanong Wang; Lin Chen; Yingwei Xue; Hui Cao; Yawei Hua; Zekuan Xu; Minhua Zheng; Min Yan; Changming Huang; Jian Suo; Han Liang; Lin Fan; Jiankun Hu; Xiang Hu; Guoli Li; Peiwu Yu; Guoxin Li; Yiran Shi; Huayou Luo; Yong Li; Ming Xie; Tianxue Liu; Zhongyuan Zhang; Ting Shi; Ziyu Li; Jiafu Ji (2023). Table_1_In-Hospital Mortality Risk Model of Gastric Cancer Surgery: Analysis of a Nationwide Institutional-Level Database With 94,277 Chinese Patients.DOCX [Dataset]. http://doi.org/10.3389/fonc.2019.00846.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Zhouqiao Wu; Huimin Cheng; Fei Shan; Xiangji Ying; Rulin Miao; Jianhong Dong; Yihong Sun; Aman Xu; Yanbing Zhou; Yanong Wang; Lin Chen; Yingwei Xue; Hui Cao; Yawei Hua; Zekuan Xu; Minhua Zheng; Min Yan; Changming Huang; Jian Suo; Han Liang; Lin Fan; Jiankun Hu; Xiang Hu; Guoli Li; Peiwu Yu; Guoxin Li; Yiran Shi; Huayou Luo; Yong Li; Ming Xie; Tianxue Liu; Zhongyuan Zhang; Ting Shi; Ziyu Li; Jiafu Ji
    License

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

    Description

    Background: The objective of this study is to identify independent risks and protective factors and to construct a mortality prediction model for gastrectomy in the Chinese population.Study design: This is a population-based prospective cohort at an institutional level. Seventy-two participating hospitals reported their annual gastrectomy data between 2014 and 2016, while 44 variables covering the institution and surgical information were included in the analysis. We used R software to encode and complete data pre-processing. The first difference model was applied to build the risk model. Data from 2014 and 2015 were assigned to risk model development, while data from 2016 was used for validation.Results: In the included centers with 94,277 gastric cancer cases, the in-hospital mortality rate was 0.32%. The regression model revealed that provinces with low-middle GDP, hospitals with annual gastrectomy volume between 100 and 500, greater volume of urgent surgeries performed, larger proportion of males, and a higher proportion of liver metastasis were independent risk factors for mortality following gastric surgeries, while higher laparoscopic resection volume, greater volume of distal gastrectomy with B2 reconstruction, and larger proportion of palliative surgery were independent protective factors (p < 0.05, respectively). In the prediction test, the mean square error of the training set was 0.948, while that of the test set was 0.728, demonstrating the effectiveness of this model.Conclusions: We constructed the first mortality risk prediction model for gastric cancer surgery in the Chinese population. The identified risk factors will help with the therapy selection, while further informing Chinese medical policy decision-makers.

  6. T

    Sweden Medical Doctors

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Sweden Medical Doctors [Dataset]. https://tradingeconomics.com/sweden/medical-doctors
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    excel, csv, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1995 - Dec 31, 2019
    Area covered
    Sweden
    Description

    Medical Doctors in Sweden decreased to 4.29 per 1000 people in 2019 from 4.32 per 1000 people in 2018. This dataset includes a chart with historical data for Sweden Medical Doctors.

  7. National Register of Cardiovascular Surgery and Intervention

    • www-acc.healthinformationportal.eu
    • healthinformationportal.eu
    html
    Updated Jul 28, 2022
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    Institute of Health Information and Statistics of the Czech Republic (2022). National Register of Cardiovascular Surgery and Intervention [Dataset]. https://www-acc.healthinformationportal.eu/services/find-data?page=22
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    htmlAvailable download formats
    Dataset updated
    Jul 28, 2022
    Dataset authored and provided by
    Institute of Health Information and Statistics of the Czech Republic
    Variables measured
    sex, title, topics, acronym, country, language, data_owners, description, contact_email, free_keywords, and 7 more
    Measurement technique
    Registry data
    Description

    The National Register of Cardiovascular Operations and Interventions (NRKOI) consists of two modules. It consists of the cardiosurgical operations module (NKR) and the cardiovascular interventions module (NRKI) .

    The purpose and meaning of the register: The National Registry of Cardiovascular Operations and Interventions (NRKOI) is a nationwide population-based registry that collects data on performed cardiovascular interventions in people with ischemic heart disease and performed cardiac surgeries. This is a merged register, which was created by merging the long-running National Register of Cardiosurgical Operations and the National Register of Cardiovascular Interventions into one system.

    This merger brought simplification of the administrative burden and at the same time made it possible to monitor the interconnectedness of the care provided to patients with heart disease in a common register and thus increased the value of all monitored data. These are clinically confirmed data on the patient's condition and all performed procedures, including a detailed description of the procedures, methods and materials used, which cannot be replaced by any other existing source of information.

    Both registries complement each other and allow users of both specialties (cardiology and cardiosurgery) to obtain detailed information about the patient's disease history, risk factors, anamnesis, the method of treatment, procedures used, medical devices, and above all, the results of treatment. Together, it enables better coordination and continuity of care provided to patients with cardiac disease. In acute cases, they allow you to quickly find out information about the patient's previous treatment.

    It can be said that the National Register of Cardiovascular Operations and Interventions is an important part of the comprehensive and standardized information support for increasing the quality and efficiency of cardiac surgery and cardiology care in the Czech Republic. Currently, its relatively extensive database is available to the professional public as well as competent institutions of the Czech healthcare system, led by the Ministry of Health of the Czech Republic, and enables:

    • system for monitoring and evaluating the results of individual methods, procedures and workplaces,
    • monitoring and evaluation of the causes, development and consequences of serious cardiovascular diseases and conditions,
    • determination, monitoring and evaluation of national indicators of the quality of cardiac surgery and cardiology care,
    • determination of qualitative accreditation indicators based on scientific foundations,
    • provision of individual prognostic information for individual types of cardiosurgical operations and cardiovascular interventions, necessary for the clinical decision-making process of doctors,
    • assessment of the needs and status of cardiac surgical interventions and cardiac surgical operations in terms of quality, effectiveness, results and expenses,
    • identification of inadequate, potentially inappropriate interventions and treatments that do not achieve expected results.
  8. f

    Prevalences and population attributable fraction estimates for p

    • figshare.com
    • plos.figshare.com
    xls
    Updated Apr 9, 2019
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    Alex Bottle; Sunny Parikh; Paul Aylin; Mark Loeffler (2019). Prevalences and population attributable fraction estimates for p [Dataset]. http://doi.org/10.1371/journal.pone.0214855.t004
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    xlsAvailable download formats
    Dataset updated
    Apr 9, 2019
    Dataset provided by
    PLOS ONE
    Authors
    Alex Bottle; Sunny Parikh; Paul Aylin; Mark Loeffler
    License

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

    Description

    Prevalences and population attributable fraction estimates for p

  9. T

    Germany Medical Doctors

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Germany Medical Doctors [Dataset]. https://tradingeconomics.com/germany/medical-doctors
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1991 - Dec 31, 2021
    Area covered
    Germany
    Description

    Medical Doctors in Germany increased to 4.98 per 1000 people in 2021 from 4.90 per 1000 people in 2020. This dataset includes a chart with historical data for Germany Medical Doctors.

  10. T

    Denmark Medical Doctors

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Denmark Medical Doctors [Dataset]. https://tradingeconomics.com/denmark/medical-doctors
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1980 - Dec 31, 2020
    Area covered
    Denmark
    Description

    Medical Doctors in Denmark increased to 4.66 per 1000 people in 2020 from 4.54 per 1000 people in 2019. This dataset includes a chart with historical data for Denmark Medical Doctors.

  11. T

    Israel Medical Doctors

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Israel Medical Doctors [Dataset]. https://tradingeconomics.com/israel/medical-doctors
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    Israel
    Description

    Medical Doctors in Israel increased to 3.47 per 1000 people in 2021 from 3.37 per 1000 people in 2019. This dataset includes a chart with historical data for Israel Medical Doctors.

  12. T

    Japan Medical Doctors

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Medical Doctors [Dataset]. https://tradingeconomics.com/japan/medical-doctors
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1975 - Dec 31, 2020
    Area covered
    Japan
    Description

    Medical Doctors in Japan increased to 2.67 per 1000 people in 2020 from 2.50 per 1000 people in 2016. This dataset includes a chart with historical data for Japan Medical Doctors.

  13. Sri Lanka LK: Number of Surgical Procedures: per 100,000 population

    • ceicdata.com
    Updated Sep 15, 2024
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    CEICdata.com (2024). Sri Lanka LK: Number of Surgical Procedures: per 100,000 population [Dataset]. https://www.ceicdata.com/en/sri-lanka/health-statistics/lk-number-of-surgical-procedures-per-100000-population
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    Dataset updated
    Sep 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2015
    Area covered
    Sri Lanka
    Description

    Sri Lanka LK: Number of Surgical Procedures: per 100,000 population data was reported at 4,943.000 Number in 2015. Sri Lanka LK: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 4,943.000 Number from Dec 2015 (Median) to 2015, with 1 observations. Sri Lanka LK: Number of Surgical Procedures: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Health Statistics. The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.; ; The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).; Weighted Average;

  14. T

    Italy Medical Doctors

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Italy Medical Doctors [Dataset]. https://tradingeconomics.com/italy/medical-doctors
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1995 - Dec 31, 2022
    Area covered
    Italy
    Description

    Medical Doctors in Italy increased to 4.25 per 1000 people in 2022 from 4.10 per 1000 people in 2021. This dataset includes a chart with historical data for Italy Medical Doctors.

  15. T

    Ireland Medical Doctors

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Ireland Medical Doctors [Dataset]. https://tradingeconomics.com/ireland/medical-doctors
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2006 - Dec 31, 2021
    Area covered
    Ireland
    Description

    Medical Doctors in Ireland increased to 4.05 per 1000 people in 2021 from 3.46 per 1000 people in 2020. This dataset includes a chart with historical data for Ireland Medical Doctors.

  16. T

    Lithuania Medical Doctors

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Apr 19, 2020
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    TRADING ECONOMICS (2020). Lithuania Medical Doctors [Dataset]. https://tradingeconomics.com/lithuania/medical-doctors
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Apr 19, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1965 - Dec 31, 2021
    Area covered
    Lithuania
    Description

    Medical Doctors in Lithuania decreased to 4.47 per 1000 people in 2021 from 4.48 per 1000 people in 2020. This dataset includes a chart with historical data for Lithuania Medical Doctors.

  17. T

    New Zealand Medical Doctors

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, New Zealand Medical Doctors [Dataset]. https://tradingeconomics.com/new-zealand/medical-doctors
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1961 - Dec 31, 2022
    Area covered
    New Zealand
    Description

    Medical Doctors in New Zealand increased to 3.62 per 1000 people in 2022 from 3.54 per 1000 people in 2021. This dataset includes a chart with historical data for New Zealand Medical Doctors.

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

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This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2024). Surgical Virtual Ward Outcomes for Patients Aged 65 and Older in New Care Models [Dataset]. https://healthdatagateway.org/en/dataset/1012

Surgical Virtual Ward Outcomes for Patients Aged 65 and Older in New Care Models

Surgical Virtual Ward Outcomes for Patients Aged 65 and Older in New Care Models

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unknownAvailable download formats
Dataset updated
Dec 13, 2024
Dataset authored and provided by
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
License

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

Description

Virtual wards (VW) provide care at home with remote monitoring for people who do not need admission to hospital, but require hospital-led care. NHS England (NHSE) has requested an extension of a VW model of care,with a national ambition of developing 40-50 VW ‘beds’ per 100,000 population. It is important that these new models of care benefit older adults,as they make up the majority of unplanned hospital admissions.

​The Surgical Assessment Unit VW manages patients who are clinically suitable for home while waiting for investigation or treatment for an acute surgical condition.

To support a better evidence base for surgical VW, PIONEER has curated a highly granular dataset of 451,306 spells for patients aged 65 and older, eligible for the Virtual Surgical Assessment Unit (VSAU). The dataset includes a proportion of patients admitted to the VSAU and those remaining in traditional care pathways. It covers demography, comorbidities, presenting symptoms, serial physiology, diagnoses, investigations, treatments (including procedures), and outcomes. Admissions span from 2018 to 2023, with potential for expansion to other timelines of interest.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. 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 & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details. Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements. Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

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