The California Health and Human Services Agency (CalHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making. "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data. The portal offers access to standardized data that can be easily retrieved, combined, downloaded, sorted, searched, analyzed, redistributed and re-used by individuals, business, researchers, journalists, developers, and government to process, trend, and innovate. The CalHHS Open Data Handbook provides guidelines to identify, review, prioritize and prepare publishable CalHHS data for access by the public via the CalHHS Open Data Portal – with a foundational emphasis on value, quality, data and metadata standards, and governance. This handbook is meant to serve as an internal resource and is also freely offered to any party that may be interested in improving the general public’s online access to data and to provide an understanding of the processes by which CalHHS makes its publishable data tables available. The handbook focuses on general guidelines and thoughtful processes but also provides linked tools/resources that operationalize those processes. The CalHHS Open Data Handbook is based on and builds upon the New York State Open Data Handbook, and we would like to acknowledge and thank the New York staff who created that document and made it available for public use. The role of the California Health and Human Services Agency is to provide policy leadership and direction to the departments and programs it oversees, to reduce duplication and fragmentation and improve coordination among the departments, to ensure programmatic integrity, and to advance the Governor's priorities on health and human services issues. The Agency coordinates the administration of state and federal programs for public health, health care services, social services, public assistance, health planning and licensing, and rehabilitation. These programs touch the lives of millions of California's most needy and vulnerable residents. The Agency is responsible for balancing the twin imperatives of providing access to essential health and human services for California's most disadvantaged and at-risk residents and managing and controlling costs. The following Departments and Offices are under the direct supervision of the California Health and Human Services Agency: The Agency Secretary also serves as Chair of Covered California, the health benefit exchange established pursuant to the Affordable Care Act. The CalHHS Open Data initiative encourages entrepreneurs, and civic coders and developers to use CalHHS data to create applications, products and services to better the health and lives of Californians. We are eager to hear from you how we can improve the portal and answer your questions, please send us an email at [email protected].

Data collection within the ABOARD Cohort started in 2022 and is ongoing. Participants receive annual online questionnaires on (mental) health, quality of life, and use of healthcare resources. In addition, medical data is collected from participants that visited a physician because of (self-reported) memory problems.

Data collection of the ABOARD Cohort started in 2022 and is ongoing. Participants receive annual online questionnaires on (mental) health, quality of life, and use of healthcare resources. In addition, medical data is collected from participants that visited a physician because of (self-reported) memory problems.

SELECTED ECONOMIC CHARACTERISTICS HEALTH INSURANCE COVERAGE - DP03 Universe - Civilian noninstitutionalized population Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Health insurance coverage in the ACS and other Census Bureau surveys define coverage to include plans and programs that provide comprehensive health coverage. Plans that provide insurance only for specific conditions or situations such as cancer and long-term care policies are not considered comprehensive health coverage. Likewise, other types of insurance like dental, vision, life, and disability insurance are not considered comprehensive health insurance coverage.

We collected over 10,087 posts from cancer patients and their caregivers on platforms like Reddit, Daily Strength, and the Health Board. The posts were related to five types of cancer: brain, colon, liver, leukemia, and lung cancer. Two team members scored each post based on the emotions expressed, using a scale from -2 to 1. Negative scores (-1 or -2) were given for posts showing grief or suffering, positive scores (1) for happy emotions like relief or accomplishment, and posts with no emotion received a score of 0 and were considered neutral. This analysis aims to understand the emotional aspects of cancer patients posts for a mental health study.

Includes health crisis and general information services, hospitals and emergency rooms, community health centres, and dental programs. Taxonomoy-based search of 211Toronto's database. For additional information and for the latest version of this data, please contact Findhelp/211 at info@findhelp.ca.

DATASUS provides information that can serve to support objective analyses of the health situation, evidence-based decision-making, and the development of health action programs. Measuring the health status of the population is a tradition in public health. It began with the systematic recording of mortality and survival data (Vital Statistics – Mortality and Live Births). With advances in the control of infectious diseases (Epidemiological and Morbidity Information) and with a better understanding of the concept of health and its population determinants, the analysis of the health situation began to incorporate other dimensions of health status. Data on morbidity, disability, access to services, quality of care, living conditions, and environmental factors became metrics used in the construction of Health Indicators, which translate into relevant information for the quantification and evaluation of health information. In this section, information is also found on Healthcare Assistance for the population, registries (Assistance Network) of hospital and outpatient networks, the registry of health establishments, as well as information on financial resources and Demographic and Socioeconomic information. Furthermore, in Supplementary Health, links are provided to the information pages of the National Supplementary Health Agency – ANS. Translated from Portuguese Original Text: O DATASUS disponibiliza informações que podem servir para subsidiar análises objetivas da situação sanitária, tomadas de decisão baseadas em evidências e elaboração de programas de ações de saúde. A mensuração do estado de saúde da população é uma tradição em saúde pública. Teve seu início com o registro sistemático de dados de mortalidade e de sobrevivência (Estatísticas Vitais – Mortalidade e Nascidos Vivos). Com os avanços no controle das doenças infecciosas (informações Epidemiológicas e Morbidade) e com a melhor compreensão do conceito de saúde e de seus determinantes populacionais, a análise da situação sanitária passou a incorporar outras dimensões do estado de saúde. Dados de morbidade, incapacidade, acesso a serviços, qualidade da atenção, condições de vida e fatores ambientais passaram a ser métricas utilizadas na construção de Indicadores de Saúde, que se traduzem em informação relevante para a quantificação e a avaliação das informações em saúde. Nesta seção também são encontradas informações sobre Assistência à Saúde da população, os cadastros (Rede Assistencial), das redes hospitalares e ambulatoriais, o cadastro dos estabelecimentos de saúde, além de informações sobre recursos financeiros e informações Demográficas e Socioeconômicas. Além disso, em Saúde Suplementar, são apresentados links para as páginas de informações da Agência Nacional de Saúde Suplementar – ANS.

This dataset contains and number of health indicators by neighbourhood. The full description for each health indicator is noticed in Worksheet 1 called IndicatorMetaData. These health indicators include indicators about various types of cancer screening statistics, Dine Safe inspections, fertility and mortality rates and student nutrition are for various periods of time (read the description for more details about who supplied the data and the vintage of the data).

Heart Disease is among the most prevalent chronic diseases in the United States, impacting millions of Americans each year and exerting a significant financial burden on the economy. In the United States alone, heart disease claims roughly 647,000 lives each year — making it the leading cause of death. The buildup of plaques inside larger coronary arteries, molecular changes associated with aging, chronic inflammation, high blood pressure, and diabetes are all causes of and risk factors for heart disease. While there are different types of coronary heart disease, the majority of individuals only learn they have the disease following symptoms such as chest pain, a heart attack, or sudden cardiac arrest. This fact highlights the importance of preventative measures and tests that can accurately predict heart disease in the population prior to negative outcomes like myocardial infarctions (heart attacks) taking place

The dataset represents Emergency Medical Services (EMS) locations in the United States and its territories. EMS Stations are part of the Fire Stations / EMS Stations HSIP Freedom sub-layer, which in turn is part of the Emergency Services and Continuity of Government Sector, which is itself a part of the Critical Infrastructure Category. The EMS stations dataset consists of any location where emergency medical service (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Ambulance services are included even if they only provide transportation services, but not if they are located at, and operated by, a hospital. If an independent ambulance service or EMS provider happens to be collocated with a hospital, it will be included in this dataset. The dataset includes both private and governmental entities. A concerted effort was made to include all emergency medical service locations in the United States and its territories. This dataset is comprised completely of license free data. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 12/29/2004 and the newest record dates from 01/11/2010.This dataset represents the EMS stations of any location where emergency medical service (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. An assessment of whether or not the total emergency medical services capability in a given area is adequate. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster - route analysis can determine those entities that are able to respond the quickest. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events.

This feature layer contains locations of Hospitals for 50 US states, Washington D.C., US territories of Puerto Rico, Guam, American Samoa, Northern Mariana Islands, Palau, and Virgin Islands. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities. In this update the TRAUMA field was populated for 172 additional hospitals and helipad presence were verified for all hospitals.

Emerging evidence suggests an important role of the gut microbiome in processes of brain ageing1,2. However, the corresponding role of the gut virome including the phageome is currently ill-defined. Here, metagenomic gut virome profiles from 1655 individuals in the Study of Health in Pomerania (SHIP-TREND-0)3,4 were analysed in conjunction with FreeSurfer brain age scores (FSBA)5,6 derived from magnetic resonance imaging data. Of 124 virus genera, Cequinquevirus presence was significantly associated with reduced FSBA by -2.53 years (95%-confidence interval (CI):(-4.16-0.91), p=3.42e-04, FDR=0.04) Cequinquevirus also associated with alterations in microbial composition, and co-occurring with L. Delbrueckii and L. Paracaseii. L. Delbrueckii presence was associated with lower FSBA as well on a nominally significant level. Analysis of potential mediating clinical parameters was inconclusive. Overall this study provides evidence that gut phages may serve as markers of delayed brain ageing, highlighting Cequinquevirus and its potential implications for the design of interventions aiming at promoting healthy brain ageing. Additional information:

Information about sexual health support services, sexual assault care and general information lines that offer confidential and anonymous sexual health information. Taxonomoy-based search of 211Toronto's database. For additional information and for the latest version of this data, please contact Findhelp/211 at info@findhelp.ca.

In this ongoing prospective cohort study containing data of 24 Dutch hospitals, patients with psoriasis are asked to be included for the BioCAPTURE registry at the moment of initiating a biologic. In case of inclusion, prospecitve data collection starts and is retrieved from electronic patient records (demographics, intoxications, comorbidities, medical history, psoriasis treatment history, disease activity scores (incl. Psoriasis Area and Severity Index (PASI)), side effects, dosages of biologics. Patients are also asked for questionnaire research participation. Those that consent are sent web-based questionnaires every three months in the first year after starting a specific biologic, and annualy in the years thereafter. In case they switch to another biologic, this series starts again. Questionnaires focus on a broad range of topics, including dermatology-related quality of life, treatement satistfaction with medication, health status, work productivity, healthcare usage. The current analytical dataset includes >2700 treatement episodes of 1550 unique patients.

Extracted from: DF_ACCESS_TO_HEALTH_SERVICES Last extracted: 2024-02-12 04:16 PM (UTC)

The Rural-Urban Continuum Codes (RUCC), developed by the U.S. Department of Agriculture's Economic Research Service (ERS), classify U.S. counties by their level of urbanization and proximity to metropolitan areas. Counties are categorized as metropolitan or nonmetropolitan, with further divisions based on population size, urbanization level, and adjacency to metro regions. The RUCC provides a detailed framework that supports research and policy analysis in areas such as public health, sociology, regional planning, and economic development. It is widely used for identifying rural-urban disparities and integrates Census data, aligning with Office of Management and Budget (OMB) metro delineations for consistent updates. Its nuanced stratification is particularly valuable in studies like the Alzheimer's Disease Neuroimaging Initiative (ADNI), which explore the social determinants of health.

This table presents health(care) expenditure used by residents of the Netherlands in a year. Health care is delineated according to the international definition of the System of Health Accounts. The figures are thus internationally comparable with Eurostat, OECD and WHO publications. All healthcare activities count, regardless of whether they take place inside or outside the healthcare sector. The figures are derived from the care accounts, which include more activities such as youth care, welfare work, social services and child care. The care accounts also include exports (expenditure on and by non-residents). Data available from: 1998 Status of figures: Figures for 2022 are provisional; figures for 2020 and 2021 are revised provisional; other figures are final. Changes as of 21 July 2023: The figures on 2020 have been updated. When will there be new figures? Updated figures for 2020-2022 and provisional figures for 2023 will be published in the second quarter of 2024.

The list of training organizations in the paramedical or midwifery (health) sector which have received a global operating grant from the Region.

Clinic Name - Name of the clinic Clinic Location - Rough location of the clinic Address - Street address Contact Number - Phone number of contact Operational Hours - Hours of operation by type Drop-in - Drop in hours By Appointment - Hours of operation with appointment Services - List of services provided by the clinic This dataset reflects only the hours of operation by Toronto Public Health. Some of the sexual health clinics are located in facilities owned and/or operated by other community health service organizations. Hours and services vary.

This dataset includes Mental Health Act Apprehensions from 2014. Download Documentation MHA Apprehensions of individuals aged 17 and under have been omitted to protect youth identity. From 2014 to 2020, these individuals comprised 6.5% (4,724 of 71,717) of all MHA Apprehensions, with individuals under 12 comprising 0.4% (320 of 71,717), and 12-17 comprising 6.1% (4,404 of 71,717) respectively. There are instances where an individual’s age group is classified as “Not Recorded”; these account for 1.3% (915 of 71,717) of all MHA Apprehensions. There are instances where an individual’s sex is classified as “Not Recorded”. In line with recommendations 5f, 11c, and 25c in Police Reform in Toronto: Systemic Racism, Alternative Community Safety and Crisis Response Models and Building New Confidence in Public Safety, Toronto Police Service continues to work in partnership towards enhancing data collection to include non-binary gender options. Each row in the dataset represents a distinct MHA Apprehension and this dataset is queried based on reported date. Please note while each row represents the apprehension of an individual under the Mental Health Act, a unique individual may have been apprehended multiple times and thus account for multiple records of apprehensions. MHA Apprehension types are as follows: MHA Section 17 (Police Officer’s Power of Apprehension); MHA Section 15 (Form 1 - Physician - Application for Psychiatric Assessment); MHA Section 16 (Form 2 – Justice of the Peace – Order for Examination); MHA Section 28 (1) (Form 9 - Elopee - Order for Return); and, MHA Section 33.4 (Form 47 - Community Treatment Order for Examination). Note: Fields have been included for both the old 140 City of Toronto Neighbourhoods structure as well as the new 158 City of Toronto Neighbourhoods structure.