5 datasets found
  1. f

    Results from multivariate models for any out of pocket costs, amount of out...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 5, 2023
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    Patrick Richard; Regine Walker; Pierre Alexandre (2023). Results from multivariate models for any out of pocket costs, amount of out of pocket costs (> 0), any medical debt and amount of medical debt (> 0) (95% confidence intervals are in parentheses), PSID 2013. [Dataset]. http://doi.org/10.1371/journal.pone.0199598.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Patrick Richard; Regine Walker; Pierre Alexandre
    License

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

    Description

    Results from multivariate models for any out of pocket costs, amount of out of pocket costs (> 0), any medical debt and amount of medical debt (> 0) (95% confidence intervals are in parentheses), PSID 2013.

  2. United States - Economic, Social, Environmental, Health, Education,...

    • data.amerigeoss.org
    csv
    Updated Jun 4, 2025
    + more versions
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    UN Humanitarian Data Exchange (2025). United States - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.amerigeoss.org/pt_PT/dataset/world-bank-indicators-for-united-states
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    csv(8271634), csv(8280)Available download formats
    Dataset updated
    Jun 4, 2025
    Dataset provided by
    United Nationshttp://un.org/
    United Nations Office for the Coordination of Humanitarian Affairshttp://www.unocha.org/
    License

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

    Area covered
    United States
    Description
  3. h

    UltraMedical

    • huggingface.co
    Updated Apr 29, 2024
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    TsinghuaC3I (2024). UltraMedical [Dataset]. https://huggingface.co/datasets/TsinghuaC3I/UltraMedical
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 29, 2024
    Dataset authored and provided by
    TsinghuaC3I
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Card for Dataset Name

      The UltraMedical Collections
    

    The UltraMedical Collections is a large-scale, high-quality dataset of biomedical instructions, comprising 410,000 synthetic and manually curated samples. The construction of UltraMedical adheres to principles of diversity and complexity. Detailed information can be found in our GitHub repository: UltraMedical. Statistics of datasets in the UltraMedical collections is shown in following table, where datasets… See the full description on the dataset page: https://huggingface.co/datasets/TsinghuaC3I/UltraMedical.

  4. n

    Data from: New Immigrant Survey

    • neuinfo.org
    • scicrunch.org
    • +2more
    Updated Jan 29, 2022
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    (2022). New Immigrant Survey [Dataset]. http://identifiers.org/RRID:SCR_008973
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    Dataset updated
    Jan 29, 2022
    Description

    Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

  5. Medicare Inpatient Hospitals - by Provider and Service

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated May 24, 2025
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    Centers for Medicare & Medicaid Services (2025). Medicare Inpatient Hospitals - by Provider and Service [Dataset]. https://catalog.data.gov/dataset/medicare-inpatient-hospitals-by-provider-and-service-9af02
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    Dataset updated
    May 24, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Medicare Inpatient Hospitals by Provider and Service dataset provides information on inpatient discharges for Original Medicare Part A beneficiaries by IPPS hospitals. It includes information on the use, payment, and hospital charges for more than 3,000 U.S. hospitals that received IPPS payments. The data are organized by hospital and Medicare Severity Diagnosis Related Group (DRG). Hospitals determine what they will charge for items and services provided to patients, and these charges are the amount the hospital bills for an item or service. The Total Payment Amount includes the DRG amount, claim per diem amount, beneficiary primary payer claim payment amount, beneficiary Part A (Hospital Insurance) coinsurance amount, beneficiary deductible amount, beneficiary blood deductible amount and diagnosis related group outlier amount.

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Patrick Richard; Regine Walker; Pierre Alexandre (2023). Results from multivariate models for any out of pocket costs, amount of out of pocket costs (> 0), any medical debt and amount of medical debt (> 0) (95% confidence intervals are in parentheses), PSID 2013. [Dataset]. http://doi.org/10.1371/journal.pone.0199598.t002

Results from multivariate models for any out of pocket costs, amount of out of pocket costs (> 0), any medical debt and amount of medical debt (> 0) (95% confidence intervals are in parentheses), PSID 2013.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 5, 2023
Dataset provided by
PLOS ONE
Authors
Patrick Richard; Regine Walker; Pierre Alexandre
License

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

Description

Results from multivariate models for any out of pocket costs, amount of out of pocket costs (> 0), any medical debt and amount of medical debt (> 0) (95% confidence intervals are in parentheses), PSID 2013.

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