14 datasets found
  1. T

    Italy Hospital Beds

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +17more
    csv, excel, json, xml
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    TRADING ECONOMICS, Italy Hospital Beds [Dataset]. https://tradingeconomics.com/italy/hospital-beds
    Explore at:
    excel, json, 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, 1960 - Dec 31, 2022
    Area covered
    Italy
    Description

    Hospital Beds in Italy decreased to 3.09 per 1000 people in 2022 from 3.12 per 1000 people in 2021. This dataset includes a chart with historical data for Italy Hospital Beds.

  2. I

    Italy IT: Hospital Beds: per 1000 People

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). Italy IT: Hospital Beds: per 1000 People [Dataset]. https://www.ceicdata.com/en/italy/health-statistics/it-hospital-beds-per-1000-people
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    Dataset updated
    Apr 15, 2018
    Dataset provided by
    CEICdata.com
    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, 1998 - Dec 1, 2011
    Area covered
    Italy
    Description

    Italy IT: Hospital Beds: per 1000 People data was reported at 3.400 Number in 2011. This records a decrease from the previous number of 3.530 Number for 2010. Italy IT: Hospital Beds: per 1000 People data is updated yearly, averaging 8.400 Number from Dec 1960 (Median) to 2011, with 50 observations. The data reached an all-time high of 10.600 Number in 1975 and a record low of 3.400 Number in 2011. Italy IT: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;

  3. Total number of hospitals in select countries worldwide in 2023

    • statista.com
    Updated Dec 12, 2024
    + more versions
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    Statista (2024). Total number of hospitals in select countries worldwide in 2023 [Dataset]. https://www.statista.com/statistics/1107086/total-hospital-number-select-countries-worldwide/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In 2023, there were nearly 11 thousand hospitals in Columbia, the highest number among OECD countries, followed by 8,156 hospitals in Japan. If only general hospitals were counted (excluding mental health hospitals and other specialized hospitals), Japan had the most number of general hospitals among OECD countries worldwide. Most countries reported hospitals numbers similar to or lower than the previous year. Meanwhile, Mexico, South Korea and the Netherlands all reported more hospitals than last year.

  4. Expenditure on healthcare in Europe 2014-2029

    • statista.com
    Updated Dec 17, 2024
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    Statista Research Department (2024). Expenditure on healthcare in Europe 2014-2029 [Dataset]. https://www.statista.com/topics/8361/hospitals-in-europe/
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    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Europe
    Description

    The current healthcare spending in Europe was forecast to continuously increase between 2024 and 2029 by in total 843.8 billion U.S. dollars (+28.57 percent). After the seventh consecutive increasing year, the spending is estimated to reach 3.8 trillion U.S. dollars and therefore a new peak in 2029. According to Worldbank health spending includes expenditures with regards to healthcare services and goods. The spending refers to current spending of both governments and consumers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the current healthcare spending in countries like Worldwide and Caribbean.

  5. GDP share of health expenditure in Europe 2014-2029

    • statista.com
    Updated Dec 17, 2024
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    Statista Research Department (2024). GDP share of health expenditure in Europe 2014-2029 [Dataset]. https://www.statista.com/topics/8361/hospitals-in-europe/
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    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Europe
    Description

    The current health expenditure as a share of the GDP in Europe was forecast to continuously increase between 2024 and 2029 by in total 0.8 percentage points. After the seventh consecutive increasing year, the share is estimated to reach 10.08 percent and therefore a new peak in 2029. According to Worldbank health spending includes expenditures with regards to healthcare services and goods. It is depicted here in relation to the total gross domestic product (GDP) of the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the current health expenditure as a share of the GDP in countries like the Americas and Worldwide.

  6. Italy Health Facilities (OpenStreetMap Export)

    • data.humdata.org
    geojson, geopackage +2
    Updated Feb 7, 2025
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    Italy Health Facilities (OpenStreetMap Export) [Dataset]. https://data.humdata.org/dataset/hotosm_ita_health_facilities
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    geopackage(1013020), shp(879342), kml(566960), shp(1226755), geojson(868210), geopackage(878323), geojson(579378), kml(865047)Available download formats
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    OpenStreetMap//www.openstreetmap.org/
    Humanitarian OpenStreetMap Team
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Italy
    Description

    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

    tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')

    Features may have these attributes:

    This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

  7. Hospital Discharge Records database

    • healthinformationportal.eu
    • www-acc.healthinformationportal.eu
    html
    Updated Jan 10, 2023
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    Ministero della Salute Italiano (2023). Hospital Discharge Records database [Dataset]. https://www.healthinformationportal.eu/health-information-sources/hospital-discharge-database-2
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    htmlAvailable download formats
    Dataset updated
    Jan 10, 2023
    Dataset provided by
    Ministry of Health of Italyhttp://www.salute.gov.it/
    Authors
    Ministero della Salute Italiano
    Variables measured
    sex, title, topics, acronym, country, funding, language, data_owners, description, contact_name, and 16 more
    Measurement technique
    Hospitalization statistics of the hospitals of the National Health System
    Dataset funded by
    <p>Public funding</p>
    Description

    The information flow of the Hospital Discharge database (SDO flow) is the tool for collecting information relating to all hospitalization episodes provided in public and private hospitals throughout the national territory.

    Born for purely administrative purposes of the hospital setting, the SDO, thanks to the wealth of information contained, not only of an administrative but also of a clinical nature, has become an indispensable tool for a wide range of analyzes and elaborations, ranging from areas to support of health planning activities for monitoring the provision of hospital assistance and the Essential Levels of Assistance, for use for proxy analyzes of other levels of assistance as well as for more strictly clinical-epidemiological and outcome analyzes. In this regard, the SDO database is a fundamental element of the National Outcomes Program (PNE).

    The information collected includes the patient's personal characteristics (including age, sex, residence, level of education), characteristics of the hospitalization (for example institution and discharge discipline, hospitalization regime, method of discharge, booking date, priority class of hospitalization) and clinical features (e.g. main diagnosis, concomitant diagnoses, diagnostic or therapeutic procedures)

    Information relating to drugs administered during hospitalization or adverse reactions to them (subject to other specific information flows) is excluded from the discharge form.

  8. Z

    Corresponding spreadsheet to the Paper 'Hospital intensive care unit bed...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Apr 2, 2020
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    Corresponding spreadsheet to the Paper 'Hospital intensive care unit bed management in Italy' [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3737838
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    Dataset updated
    Apr 2, 2020
    Dataset provided by
    Fabrizio Pecoraro
    Daniela Luzi
    Fabrizio Clemente
    License

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

    Area covered
    Italy
    Description

    The dataset reports the data collected in the Italian Ministry of Health website regarding the availability of hospital beds as well as the number of discharges and inpatient days. Data are distributed by hospital structure, year (2010 and 2017) and discipline. Additional sheets are included to report the hospital bed management indicators computed to assess the efficiency in the ordinary hospital bed management in Italy before the COVID-19 outbreak.

    Last available raw data published by the Ministry of Health are available here: http://www.salute.gov.it/portale/documentazione/p6_2_8_1_1.jsp?lingua=italiano&id=6

  9. Forecast: Number of Beds in Not for Profit Privately Owned Hospitals in...

    • reportlinker.com
    Updated Apr 8, 2024
    + more versions
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    ReportLinker (2024). Forecast: Number of Beds in Not for Profit Privately Owned Hospitals in Italy 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/c5c8475f9fe5189d57ef178fdcb202ac04f736e4
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Italy
    Description

    Forecast: Number of Beds in Not for Profit Privately Owned Hospitals in Italy 2024 - 2028 Discover more data with ReportLinker!

  10. Dataset related to article "Incidence rates of hospitalization and death...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Feb 17, 2021
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    Paolo Gisondi; Stefano Piaserico; Luigi Naldi; Paolo Dapavo; Andrea Conti; Piergiorgio Malagoli; Angelo Valerio Marzano; Federico Bardazzi; Massimo Gasperini; Simone Cazzaniga; Antonio Costanzo; Paolo Gisondi; Stefano Piaserico; Luigi Naldi; Paolo Dapavo; Andrea Conti; Piergiorgio Malagoli; Angelo Valerio Marzano; Federico Bardazzi; Massimo Gasperini; Simone Cazzaniga; Antonio Costanzo (2021). Dataset related to article "Incidence rates of hospitalization and death from COVID-19 in patients with psoriasis receiving biological treatment: a Northern Italy experience" [Dataset]. http://doi.org/10.5281/zenodo.4543682
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    Dataset updated
    Feb 17, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Paolo Gisondi; Stefano Piaserico; Luigi Naldi; Paolo Dapavo; Andrea Conti; Piergiorgio Malagoli; Angelo Valerio Marzano; Federico Bardazzi; Massimo Gasperini; Simone Cazzaniga; Antonio Costanzo; Paolo Gisondi; Stefano Piaserico; Luigi Naldi; Paolo Dapavo; Andrea Conti; Piergiorgio Malagoli; Angelo Valerio Marzano; Federico Bardazzi; Massimo Gasperini; Simone Cazzaniga; Antonio Costanzo
    Area covered
    Italy
    Description

    This record contains raw data related to article “Incidence rates of hospitalization and death from COVID-19 in patients with psoriasis receiving biological treatment: a Northern Italy experience"

    Introduction: Whether biologic therapies enhance the risk of coronavirus 2019 (COVID-19) or affect the disease outcome in patients with chronic plaque psoriasis remains to be ascertained.

    Objective: We sought to investigate the incidence of hospitalization and death for COVID-19 in a large sample of patients with plaque psoriasis receiving biologic therapies compared with the general population.

    Methods: This is a retrospective multicenter cohort study including patients with chronic plaque psoriasis (n = 6501) being treated with biologic therapy and regularly followed up at the divisions of dermatology of several main hospitals in the Northern Italian cities of Verona, Padua, Vicenza, Modena, Bologna, Piacenza, Turin, and Milan. Incidence rates of hospitalization and death per 10,000 person-months with exact mid-p 95% CIs and standardized incidence ratios were estimated in the patients with psoriasis and compared with those in the general population in the same geographic areas.

    Results: The incidence rate of hospitalization for COVID-19 was 11.7 (95% CI, 7.2-18.1) per 10,000 person-months in patients with psoriasis and 14.4 (95% CI, 14.3-14.5) in the general population; the incidence rate of death from COVID-19 was 1.3 (95% CI, 0.2-4.3) and 4.7 (95% CI, 4.6-4.7) in patients with psoriasis and the general population, respectively. The standardized incidence ratio of hospitalization and death in patients with psoriasis compared with those in the general population was 0.94 (95% CI, 0.57-1.45; P = .82) and 0.42 (95% CI, 0.07-1.38; P = .19), respectively.

    Conclusions: Our data did not show any adverse impact of biologics on COVID-19 outcome in patients with psoriasis. We would not advise biologic discontinuation in patients on treatment since more than 6 months and not infected with severe acute respiratory syndrome coronavirus 2 to prevent hospitalization and death from COVID-19.

  11. Average travel time to the nearest hospital in minutes, NUTS3 regions, 2020

    • sdi.eea.europa.eu
    • data.europa.eu
    eea:folderpath +4
    Updated Nov 21, 2022
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    European Environment Agency (2022). Average travel time to the nearest hospital in minutes, NUTS3 regions, 2020 [Dataset]. https://sdi.eea.europa.eu/catalogue/srv/api/records/de17ed31-7474-4ff5-8f8c-bdd50c690a0a
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    www:url, www:link-1.0-http--link, eea:folderpath, ogc:wms, esri:restAvailable download formats
    Dataset updated
    Nov 21, 2022
    Dataset authored and provided by
    European Environment Agencyhttp://www.eea.europa.eu/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Time period covered
    Jan 1, 2020 - Dec 31, 2020
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This metadata refers to the vector dataset presenting, for NUTS3 regions, the average travel time to the nearest hospital in 2020. The data has been developed by Eurostat to measure how easily basic services can be reached by the resident population, based on spatial analyses of the location of healthcare facilities, combined with the road network. (note this could have been across a national border).

    The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.

  12. Forecast: Available Beds in Hospitals in Italy 2024 - 2028

    • reportlinker.com
    Updated Apr 6, 2024
    + more versions
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    ReportLinker (2024). Forecast: Available Beds in Hospitals in Italy 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/2df297e806d5cd4a833f29c4dff8786e7b4b051a
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    Dataset updated
    Apr 6, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Italy
    Description

    Forecast: Available Beds in Hospitals in Italy 2024 - 2028 Discover more data with ReportLinker!

  13. Forecast: Hospital Average Length of Stay for Multiple Sclerosis Cases in...

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Forecast: Hospital Average Length of Stay for Multiple Sclerosis Cases in Italy 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/b85d6459981a6b05700746854d6bb335edd91767
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Italy
    Description

    Forecast: Hospital Average Length of Stay for Multiple Sclerosis Cases in Italy 2024 - 2028 Discover more data with ReportLinker!

  14. Forecast: Hospital Discharges for Multiple Sclerosis Cases in Italy 2024 -...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Hospital Discharges for Multiple Sclerosis Cases in Italy 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/d37e1600af3f5f701649ad684a7a271b61ff5bc9
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    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Italy
    Description

    Forecast: Hospital Discharges for Multiple Sclerosis Cases in Italy 2024 - 2028 Discover more data with ReportLinker!

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

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TRADING ECONOMICS, Italy Hospital Beds [Dataset]. https://tradingeconomics.com/italy/hospital-beds

Italy Hospital Beds

Italy Hospital Beds - Historical Dataset (1960-12-31/2022-12-31)

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
excel, json, 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, 1960 - Dec 31, 2022
Area covered
Italy
Description

Hospital Beds in Italy decreased to 3.09 per 1000 people in 2022 from 3.12 per 1000 people in 2021. This dataset includes a chart with historical data for Italy Hospital Beds.

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