https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/
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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License information was derived automatically
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.
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License information was derived automatically
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.
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
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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.
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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.
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:
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Prevalences and population attributable fraction estimates for p
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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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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License information was derived automatically
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;
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License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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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.