67 datasets found
  1. Number of hospitals in Massachusetts 2022 by ownership

    • statista.com
    Updated Jun 20, 2024
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    Statista (2024). Number of hospitals in Massachusetts 2022 by ownership [Dataset]. https://www.statista.com/statistics/202852/number-of-hospitals-in-massachusetts-by-ownership-type/
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    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States, Massachusetts
    Description

    In 2022, there were 73 hospitals in Massachusetts, of which 55 were non-profits. During this year, there were 5,129 hospitals across the United States, of which most were non-profits. This statistic depicts the number of hospitals in Massachusetts in 2022, by type of ownership.

  2. m

    Health Care Facilities in Massachusetts

    • mass.gov
    Updated May 13, 2022
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    Population Health Information Tool (2022). Health Care Facilities in Massachusetts [Dataset]. https://www.mass.gov/info-details/health-care-facilities-in-massachusetts
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    Dataset updated
    May 13, 2022
    Dataset provided by
    Bureau of Health Care Safety and Quality
    Population Health Information Tool
    Department of Public Health
    Area covered
    Massachusetts
    Description

    Find data on health care facilities in Massachusetts that are licensed or certified by the Department of Public Health.

  3. M

    Morocco MA: Hospital Beds: per 1000 People

    • ceicdata.com
    Updated May 17, 2024
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    CEICdata.com (2024). Morocco MA: Hospital Beds: per 1000 People [Dataset]. https://www.ceicdata.com/en/morocco/health-statistics/ma-hospital-beds-per-1000-people
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    Dataset updated
    May 17, 2024
    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, 1975 - Dec 1, 2012
    Area covered
    Morocco
    Description

    Morocco MA: Hospital Beds: per 1000 People data was reported at 0.900 Number in 2012. This records a decrease from the previous number of 1.100 Number for 2009. Morocco MA: Hospital Beds: per 1000 People data is updated yearly, averaging 1.106 Number from Dec 1960 (Median) to 2012, with 14 observations. The data reached an all-time high of 1.598 Number in 1960 and a record low of 0.800 Number in 2002. Morocco MA: 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 Morocco – Table MA.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;

  4. Discharge number in Massachusetts' hospitals by type 2010-2020

    • statista.com
    Updated Nov 14, 2024
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    Statista (2024). Discharge number in Massachusetts' hospitals by type 2010-2020 [Dataset]. https://www.statista.com/statistics/551652/massachusetts-hospital-discharges-number-by-hospital-type/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts the the number of hospital discharges in Massachusetts from 2010 to 2020, sorted by type of hospital. The number of discharges in teaching hospitals was around 127 thousand in 2020.

  5. COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries...

    • healthdata.gov
    • datahub.hhs.gov
    • +1more
    Updated May 3, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries (RAW) [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/g62h-syeh
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    csv, application/rssxml, application/rdfxml, tsv, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides state-aggregated data for hospital utilization in a timeseries format dating back to January 1, 2020. These are derived from reports with facility-level granularity across three main sources: (1) HHS TeleTracking, (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities and (3) National Healthcare Safety Network (before July 15).

    The file will be updated regularly and provides the latest values reported by each facility within the last four days for all time. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.

    No statistical analysis is applied to account for non-response and/or to account for missing data.

    The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to more than one reporting source: HHS TeleTracking, NHSN, and HHS Protect. When this occurs, to ensure that there are not duplicate reports, prioritization is applied to the numbers for each facility.

    On April 27, 2022 the following pediatric fields were added:

  6. all_pediatric_inpatient_bed_occupied
  7. all_pediatric_inpatient_bed_occupied_coverage
  8. all_pediatric_inpatient_beds
  9. all_pediatric_inpatient_beds_coverage
  10. previous_day_admission_pediatric_covid_confirmed_0_4
  11. previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  12. previous_day_admission_pediatric_covid_confirmed_12_17
  13. previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  14. previous_day_admission_pediatric_covid_confirmed_5_11
  15. previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  16. previous_day_admission_pediatric_covid_confirmed_unknown
  17. previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  18. staffed_icu_pediatric_patients_confirmed_covid
  19. staffed_icu_pediatric_patients_confirmed_covid_coverage
  20. staffed_pediatric_icu_bed_occupancy
  21. staffed_pediatric_icu_bed_occupancy_coverage
  22. total_staffed_pediatric_icu_beds
  23. total_staffed_pediatric_icu_beds_coverage

    On January 19, 2022, the following fields have been added to this dataset:
  24. inpatient_beds_used_covid
  25. inpatient_beds_used_covid_coverage

    On September 17, 2021, this data set has had the following fields added:
  26. icu_patients_confirmed_influenza,
  27. icu_patients_confirmed_influenza_coverage,
  28. previous_day_admission_influenza_confirmed,
  29. previous_day_admission_influenza_confirmed_coverage,
  30. previous_day_deaths_covid_and_influenza,
  31. previous_day_deaths_covid_and_influenza_coverage,
  32. previous_day_deaths_influenza,
  33. previous_day_deaths_influenza_coverage,
  34. total_patients_hospitalized_confirmed_influenza,
  35. total_patients_hospitalized_confirmed_influenza_and_covid,
  36. total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  37. total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  38. on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  39. on_hand_supply_therapeutic_b_bamlanivimab_courses,
  40. on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  41. previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  42. previous_week_therapeutic_b_bamlanivimab_courses_used,
  43. previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

    On June 30, 2021, this data set has had the following fields added:
  44. deaths_covid
  45. deaths_covid_coverage

    On April 30, 2021, this data set has had the following fields added:
  46. previous_day_admission_adult_covid_confirmed_18-19
  47. previous_day_admission_adult_covid_confirmed_18-19_coverage
  48. previous_day_admission_adult_covid_confirmed_20-29_coverage
  49. previous_day_admission_adult_covid_confirmed_30-39
  50. previous_day_admission_adult_covid_confirmed_30-39_coverage
  51. previous_day_admission_adult_covid_confirmed_40-49
  52. previous_day_admission_adult_covid_confirmed_40-49_coverage
  53. previous_day_admission_adult_covid_confirmed_40-49_coverage
  54. previous_day_admission_adult_covid_confirmed_50-59
  55. previous_day_admission_adult_covid_confirmed_50-59_coverage
  56. previous_day_admission_adult_covid_confirmed_60-69
  57. previous_day_admission_adult_covid_confirmed_60-69_coverage
  58. previous_day_admission_adult_covid_confirmed_70-79
  59. previous_day_admission_adult_covid_confirmed_70-79_coverage
  60. previous_day_admission_adult_covid_confirmed_80+
  61. previous_day_admission_adult_covid_confirmed_80+_coverage
  62. previous_day_admission_adult_covid_confirmed_unknown
  63. previous_day_admission_adult_covid_confirmed_unknown_coverage
  64. previous_day_admission_adult_covid_suspected_18-19
  65. previous_day_admission_adult_covid_suspected_18-19_coverage
  66. previous_day_admission_adult_covid_suspected_20-29
  67. previous_day_admission_adult_covid_suspected_20-29_coverage
  68. previous_day_admission_adult_covid_suspected_30-39
  69. previous_day_admission_adult_covid_suspected_30-39_coverage
  70. previous_day_admission_adult_covid_suspected_40-49
  71. previous_day_admission_adult_covid_suspected_40-49_coverage
  72. previous_day_admission_adult_covid_suspected_50-59
  73. previous_day_admission_adult_covid_suspected_50-59_coverage
  74. previous_day_admission_adult_covid_suspected_60-69
  75. previous_day_admission_adult_covid_suspected_60-69_coverage
  76. previous_day_admission_adult_covid_suspected_70-79
  77. previous_day_admission_adult_covid_suspected_70-79_coverage
  78. previous_day_admission_adult_covid_suspected_80+
  79. previous_day_admission_adult_covid_suspected_80+_coverage
  80. previous_day_admission_adult_covid_suspected_unknown
  81. previous_day_admission_adult_covid_suspected_unknown_coverage

  • Weekly United States Hospitalization Metrics by Jurisdiction, During...

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Nov 1, 2024
    + more versions
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    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2024). Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED [Dataset]. https://data.cdc.gov/w/aemt-mg7g/tdwk-ruhb?cur=zGUVu3Y-PHy&from=K576eT_Tj4
    Explore at:
    application/rssxml, tsv, csv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Nov 1, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Note: After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 

    This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).

    • Data source description (updated October 18, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 
    • Data quality: While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data since December 1, 2020, have had error correction methodology applied; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable.
    • Metrics and inclusion criteria: Many hospital subtypes, including acute care and critical access hospitals, are included in the metric calculations included in this dataset. Psychiatric, rehabilitation, and religious non-medical hospital types, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are excluded from calculations. For a given metric calculation, hospitals that reported those data at least one day during a given week are included.
    • Find full details on NHSN Hospital Respiratory Data (HRD) reporting guidance, including additional information on bed type definitions at https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Notes: May 10, 2024: Due to missing hospital data for the April 28, 2024 through May 4, 2024 reporting period, data for Commonwealth of the Northern Mariana Islands (CNMI) are not available for this period in the Weekly NHSN Hospitalization Metrics report released on May 10, 2024.

    May 17, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Minnesota (MN), and Guam (GU) for the May 5,2024 through May 11, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 1, 2024.

    May 24, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), and Minnesota (MN) for the May 12, 2024 through May 18, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 24, 2024.

    May 31, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), and Minnesota (MN) for the May 19, 2024 through May 25, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 31, 2024.

    June 7, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), Guam (GU), and Minnesota (MN) for the May 26, 2024 through June 1, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 7, 2024.

    June 14, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), and Minnesota (MN) for the June 2, 2024 through June 8, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 14, 2024.

    June 21, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Guam (GU), Virgin Islands (VI), and Minnesota (MN) for the June 9, 2024 through June 15, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 21, 2024.

    June 28, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 16, 2024 through June 22, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 28, 2024.

    July 5, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 23, 2024 through June 29, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 5, 2024.

    July 12, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 30, 2024 through July 6, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 12, 2024.

    July 19, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 7, 2024 through July 13, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 19, 2024.

    July 26, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 13, 2024 through July 20, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 26, 2024.

    August 2, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), West Virginia (WV), and Minnesota (MN) for the July 21, 2024 through July 27, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 2, 2024.

    August 9, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Guam (GU), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 28, 2024 through August 3, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 9, 2024.

    August 16, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 4, 2024 through August 10, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 16, 2024.

    August 23, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 11, 2024 through August 17, 2024 reporting period are not available for the Weekly

  • Top conditions in Massachusetts based on number of hospital discharges 2020

    • statista.com
    Updated Nov 14, 2024
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    Statista (2024). Top conditions in Massachusetts based on number of hospital discharges 2020 [Dataset]. https://www.statista.com/statistics/551583/leading-hospital-discharges-in-massachusetts-by-number/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to the number of hospital discharges during fiscal year 2020 in the state of Massachusetts, normal neonate births were, by far, the most common condition for hospital stays.

  • Hospital bed density in the U.S. in 2022, by state

    • statista.com
    Updated Jul 18, 2024
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    Hospital bed density in the U.S. in 2022, by state [Dataset]. https://www.statista.com/statistics/1474768/hospital-bed-density-in-the-us-by-state/
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    Dataset updated
    Jul 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, there were, on average, 2.35 hospital beds per 1,000 population in the United States. Hospital bed density varied widely between the states, with South Dakota having 4.61 beds per thousand population, while there were just 1.6 hospital beds per thousand population available in Washington.

  • Community hospital beds per 1,000 U.S. population 2022

    • statista.com
    Updated Jun 20, 2024
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    Statista (2024). Community hospital beds per 1,000 U.S. population 2022 [Dataset]. https://www.statista.com/statistics/184546/community-hospital-beds-per-1000-population-in-the-us/
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, community hospitals in the United States had an average of 2.4 beds per 1,000 persons. The share of community hospital beds ranged from 1.6 to five beds per 1,000 persons across the country. The number of community hospital beds per 1,000 population in the United States decreased slightly from 2000 to 2022.

  • f

    Hospital-Use Pharmaceuticals in Swiss Waters Modeled at High Spatial...

    • figshare.com
    • acs.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Keisuke Kuroda; René Itten; Lubomira Kovalova; Christoph Ort; David G. Weissbrodt; Christa S. McArdell (2023). Hospital-Use Pharmaceuticals in Swiss Waters Modeled at High Spatial Resolution [Dataset]. http://doi.org/10.1021/acs.est.6b00653.s003
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    ACS Publications
    Authors
    Keisuke Kuroda; René Itten; Lubomira Kovalova; Christoph Ort; David G. Weissbrodt; Christa S. McArdell
    License

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

    Description

    A model to predict the mass flows and concentrations of pharmaceuticals predominantly used in hospitals across a large number of sewage treatment plant (STP) effluents and river waters was developed at high spatial resolution. It comprised 427 geo-referenced hospitals and 742 STPs serving 98% of the general population in Switzerland. In the modeled base scenario, domestic, pharmaceutical use was geographically distributed according to the population size served by the respective STPs. Distinct hospital scenarios were set up to evaluate how the predicted results were modified when pharmaceutical use in hospitals was allocated differently; for example, in proportion to number of beds or number of treatments in hospitals. The hospital scenarios predicted the mass flows and concentrations up to 3.9 times greater than in the domestic scenario for iodinated X-ray contrast media (ICM) used in computed tomography (CT), and up to 6.7 times greater for gadolinium, a contrast medium used in magnetic resonance imaging (MRI). Field measurements showed that ICM and gadolinium were predicted best by the scenarios using number of beds or treatments in hospitals with the specific facilities (i.e., CT and/or MRI). Pharmaceuticals used both in hospitals and by the general population (e.g., cyclophosphamide, sulfamethoxazole, carbamazepine, diclofenac) were predicted best by the scenario using the number of beds in all hospitals, but the deviation from the domestic scenario values was only small. Our study demonstrated that the bed number-based hospital scenarios were effective in predicting the geographical distribution of a diverse range of pharmaceuticals in STP effluents and rivers, while the domestic scenario was similarly effective on the scale of large river-catchments.

  • m

    Hospitals

    • gis.data.mass.gov
    Updated Jun 22, 2020
    + more versions
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    City of Cambridge (2020). Hospitals [Dataset]. https://gis.data.mass.gov/datasets/CambridgeGIS::hospitals/about
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    Dataset updated
    Jun 22, 2020
    Dataset authored and provided by
    City of Cambridge
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    This point layer contains the hospitals within the City of Cambridge.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription SITE_NAME type: Stringwidth: 50precision: 0 Facility name

    ADDRESS type: Stringwidth: 40precision: 0 Facility address

    PHONE type: Stringwidth: 16precision: 0 Main phone number of the facility

    EditDate type: Stringwidth: 4precision: 0

  • A

    Hospital Locations

    • data.boston.gov
    csv
    Updated May 21, 2019
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    Hospital Locations [Dataset]. https://data.boston.gov/dataset/hospital-locations
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    csvAvailable download formats
    Dataset updated
    May 21, 2019
    Dataset authored and provided by
    City of Boston
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This is a legacy dataset containing the name, address, neighborhood, and coordinates of hospital locations throughout the City.

  • H

    Medical Bed Market Forecast by Intensive and Non-intensive Care Applications...

    • futuremarketinsights.com
    pdf
    Updated Oct 9, 2023
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    Future Market Insights (2023). Medical Bed Market Forecast by Intensive and Non-intensive Care Applications for 2023 to 2033 [Dataset]. https://www.futuremarketinsights.com/reports/medical-bed-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 9, 2023
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2023 - 2033
    Area covered
    Worldwide
    Description

    The medical bed market is projected to surpass a valuation of US$ 5,469.0 million by 2033. Our healthcare analysts opine that medical bed manufacturers can expect a CAGR of 4.2% through 2033, with a current valuation of US$ 3,611.9 million in 2023.

    AttributesDetails
    Medical Bed Market Size, 2022US$ 3,482.6 million
    Medical Bed Market Size, 2023US$ 3,611.9 million
    Medical Bed Market Size, 2033US$ 5,469.0 million
    Value CAGR (2023 to 2033)4.2%

    Historical Performance of the Medical Bed Market (2018 to 2022) Vs. Forecast Outlook (2023 to 2033)

    AttributesDetails
    Medical Bed Market Size (2018)US$ 2,998.6 million
    Medical Bed Market Size (2022)US$ 3,482.6 million
    Medical Bed Market (CAGR 2018 to 2022)3.6%

    Category-wise Insights

    SegmentIntensive Care (Application)
    Value Share (2023)49.8%
    SegmentElectric Beds (Bed Type)
    Value Share (2023)33.4%

    Country-wise Insights

    CountriesValue CAGR (2023 to 2033)
    United States3.8%
    Germany2.8%
    India5.4%
    China6.1%
    Japan3.8%
  • Ma'rib Number of Private Hospitals

    • hi.knoema.com
    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 23, 2018
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    Knoema (2018). Ma'rib Number of Private Hospitals [Dataset]. https://hi.knoema.com/atlas/%D0%99%D0%B5%D0%BC%D0%B5%D0%BD/Marib/Number-of-Private-Hospitals
    Explore at:
    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Apr 23, 2018
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2013
    Area covered
    Marib
    Variables measured
    Total - Hospitals - Total
    Description

    0 (Number) in 2013.

  • m

    Mass Notification System In Healthcare Market

    • marketresearchintellect.com
    Updated Mar 14, 2025
    + more versions
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    Market Research Intellect (2025). Mass Notification System In Healthcare Market [Dataset]. https://www.marketresearchintellect.com/product/mass-notification-system-in-healthcare-market-size-and-forecast-4/
    Explore at:
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    The size and share of the market is categorized based on Type (In-building Mass Notification System, Outdoor Mass Notification System, Distributed or Hybrid Mass Notification System) and Application (Hospitals, Clinics, Nursing Home, Long Term Care, Ambulatory Surgical Centres (ASC?s)) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

  • w

    Subjects of The Massachusetts General Hospital review of critical care...

    • workwithdata.com
    Updated Aug 3, 2024
    + more versions
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    Work With Data (2024). Subjects of The Massachusetts General Hospital review of critical care medicine [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-books&fop0=%3D&fval0=The+Massachusetts+General+Hospital+review+of+critical+care+medicine&j=1&j0=books
    Explore at:
    Dataset updated
    Aug 3, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Massachusetts
    Description

    This dataset is about book subjects and is filtered where the books is The Massachusetts General Hospital review of critical care medicine, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).

  • Leading hospitals for adult psychiatry in the U.S. 2024

    • statista.com
    Updated Nov 18, 2024
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    Statista (2024). Leading hospitals for adult psychiatry in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/526141/top-adult-psychiatry-hospitals-in-us-2016/
    Explore at:
    Dataset updated
    Nov 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Adult psychiatry is an important part of medical and mental health treatments in the U.S. As of 2024, the top hospital for adult psychiatry was Massachusetts General Hospital in Boston, Massachusetts, with a score of 14 percent. The score represents the percentage of surveyed psychiatric specialists that named select hospitals as the best for challenging patients. Despite hospitals having a wider range of care options for patients, a majority of the mental health treatment facilities in the U.S. are listed as outpatient care centers without day treatment options or partial hospitalization options. Mental Health in the U.S. In the U.S. millions of people are affected by mental illness every year. Mental illnesses can range from mood disorders such as depression and bipolar disorder to schizophrenia and anxiety disorders. Research has indicated that as of 2022 up to a quarter of adults between the ages of 18 and 25 in the U.S. had experienced some sort of mental illness within the past year, with rates of mental illness decreasing with age. A recent survey also indicated that among adults in the U.S. those living in Oregon and Utah may have the poorest mental health status among all states. Mental Health Treatment in the U.S. Not all mental health treatment requires hospitalization or psychiatric treatment. Most mental health issues can be addressed and treated in individual or group psychotherapy, but treatment differs drastically based on the type of mental illness. Psychotherapy, medication, case management, hospitalization and support groups are just a few of the ways mental illness can be treated. As of 2023 a larger percentage of U.S. adults utilized prescription medications as opposed to any other kind of therapy. Among adults that sought treatment from a professional for a major depressive episode, a majority had seen a general practitioner or family doctor to treat their mental health issues.

  • Ma'rib Number of Government Hospital

    • knoema.de
    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 23, 2018
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    Knoema (2018). Ma'rib Number of Government Hospital [Dataset]. https://knoema.de/atlas/Yemen/Marib/Number-of-Government-Hospital
    Explore at:
    json, csv, sdmx, xlsAvailable download formats
    Dataset updated
    Apr 23, 2018
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2013
    Area covered
    Marib
    Variables measured
    Total - Number of Government Hospital - Total
    Description

    2 (Number) in 2013.

  • m

    Urgent care and retail clinics in Massachusetts

    • mass.gov
    Updated Jul 27, 2024
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    Department of Public Health (2024). Urgent care and retail clinics in Massachusetts [Dataset]. https://www.mass.gov/info-details/urgent-care-and-retail-clinics-in-massachusetts
    Explore at:
    Dataset updated
    Jul 27, 2024
    Dataset provided by
    Population Health Information Tool
    Department of Public Health
    Area covered
    Massachusetts
    Description

    The map provides a filterable database to help the public find urgent care locations in their community that offer specific services, service times, or accept their insurance type. Urgent care centers are for mild illnesses and minor injuries.

  • Medical Mattresses Market Analysis Asia, North America, Europe, Rest of...

    • technavio.com
    Updated Nov 9, 2023
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    Technavio (2023). Medical Mattresses Market Analysis Asia, North America, Europe, Rest of World (ROW) - US, Germany, UK, China, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/medical-mattresses-market-industry-analysis
    Explore at:
    Dataset updated
    Nov 9, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Europe, United Kingdom, United States, Global
    Description

    Snapshot img

    Medical Mattresses Market 2024-2028

    The global medical mattresses market size is estimated to grow by USD 3.81 billion at a CAGR of 4.91% between 2023 and 2028.

    Spread of infectious diseases such as tuberculosis (TB) and COVID-19 is anticipated to increase the demand for medical mattresses across the globe. Furthermore, an increase in the prevalence of infectious diseases drives admission rates in healthcare facilities. To meet the high demand from healthcare facilities, manufacturers and suppliers are introducing advanced products and increasing market penetration through efficient distribution networks. The rising incidence of infectious diseases has prompted suppliers and manufacturers to expand their market reach and enter emerging markets. Hence, these factors will also drive market growth during the forecast period.It also includes an in-depth analysis of drivers, trends, and challenges. Our report examines historical data from 2018-2022, besides analyzing the current market scenario.

    What will be the size of the Medical Mattresses Market During the Forecast Period?

    Request Free Sample

    Market Segmentation

    The medical mattresses market report forecasts market growth by revenue at global, regional & country levels and provides an analysis of the latest trends and growth opportunities from 2018 to 2028.

    End-user Outlook
    
      Commercial
      Residential
    
    
    
    
    
    Product Outlook
    
      Foam
      Innerspring
      Others
    
    
    
    
    
    Region Outlook
    
      North America
    
        The U.S.
        Canada
    
    
    
    
    
      Europe
    
        The U.K.
        Germany
        France
        Rest of Europe
    
    
    
    
    
      Asia
    
        China
        India
    
    
    
    
    
      Rest of the World (ROW)
    
        Argentina
        Australia
        Brazil 
    

    End-user Analysis

    The market share growth by the commercial segment will be significant during the forecast period. The commercial segment includes end-users, including hospitals, healthcare providers, and rehabilitation facilities. These mattresses are specifically engineered to provide optimal support and comfort to patients during a variety of medical procedures, after-care, or for those with pre-existing medical conditions.

    Get a glance at the market contribution of various segments Download PDF Sample

    The commercial segment was valued at USD 9.59 billion in 2018. Medical mattresses are utilized in healthcare settings to enhance patient comfort during medical examinations, treatments, and monitoring procedures. Additionally, these mattresses may be designed with specific features, such as additional firmness and dynamic pressure redistribution, to meet the specific requirements of patients in rehabilitation programs. Hence, such factors under the commercial end-user segment will boost the growth of the global medical mattresses market during the forecast period. Moreover, advancements in antimicrobial medical textiles used in these mattresses are enhancing infection control and hygiene standards in healthcare settings. These textiles incorporate antimicrobial properties to inhibit the growth of bacteria and pathogens, thereby reducing the risk of healthcare-associated infections. The integration of antimicrobial medical textiles in medical mattresses underscores the industry's commitment to enhancing patient safety and comfort, which further supports the market's growth trajectory.

    Product Analysis

    Foam

    Foam mattresses are made with various layers of foam, such as memory foam, or even more specially designed foam, such as viscoelastic foam. These layers of foam mold to the patient's body shape and distribute their weight evenly. The foam's ability to align with the body's contours helps to keep the spine in proper alignment, reducing pain and complications. Medical mattresses made from foam are renowned for their strength and durability, making them an economical choice for healthcare settings. Hence, these advantages and features will raise the demand for foam as a product segment and will consequently drive the growth of the market during the forecast period.

    Regional Analysis

    For more insights about the market share of various regions Download the PDF Sample now!

    Asia is estimated to contribute 44% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that will shape the market during the forecast period. The medical mattresses market in Asia is driven by the increasing number of hospitals, clinics, and diagnostic centers, the growing geriatric population, and the rising prevalence of chronic diseases in the region.

    Moreover, an increase in the number of hospital beds in developed and developing countries such as Japan and South Korea and rising healthcare expenditure are factors that are expected to drive the growth of the market in the region. Furthermore, manufacturers and suppliers of medical mattresses are shifting their production facilities and ma

  • Share
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    Statista (2024). Number of hospitals in Massachusetts 2022 by ownership [Dataset]. https://www.statista.com/statistics/202852/number-of-hospitals-in-massachusetts-by-ownership-type/
    Organization logo

    Number of hospitals in Massachusetts 2022 by ownership

    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States, Massachusetts
    Description

    In 2022, there were 73 hospitals in Massachusetts, of which 55 were non-profits. During this year, there were 5,129 hospitals across the United States, of which most were non-profits. This statistic depicts the number of hospitals in Massachusetts in 2022, by type of ownership.

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