The State Health Expenditure Dataset was designed to better understand the impact of cost-effectiveness of public spending on public health. The collection includes approximately 1.9 million individual records, which were characterized into over 60,000 individual program categories. This data was provided by the US Census, and was collected from state budget offices across the country from 2000-2013. This dataset only encompasses state records that the Census had identified as functional code 32 (health - other) and code 27 (environmental health).

The State Health Practice Database for Research (SHPDR) captures cross-sectional and longitudinal variation in states’ statutes and laws to enable researchers to more effectively perform clinically oriented health economics research, and investigate the diffusion of medical technology and other health services research outcomes of interest.

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. The “Health Facilities’ State Enforcement Actions” dataset includes summary information for state enforcement actions (state citations or administrative penalties) issued to California healthcare facilities. This file, a sub-set of the ELMS system data, includes state enforcement actions that have been issued from July 1, 1997 through June 30, 2024. Data are presented for each citation/penalty, and include information about the type of enforcement action, violation category, penalty amount, violation date, appeal status, and facility. The “LTC Citation Narrative” dataset contains the full text of citations that were issued to long-term care (LTC) facilities between January 1, 2012 – December 31, 2017. DO NOT DOWNLOAD in Excel as this file has large blocks of text which may truncate. For example, Excel 2007 and later display, and allow up to, 32,767 characters in each cell, whereas earlier versions of Excel allow 32,767 characters, but only display the first 1,024 characters. Please refer to instructions in “E_Citation_Access_DB_How_To_Docs”, about how to download and view data. These files enable providers and the public to identify facility non-compliance and quality issues. By making this information available, quality issues can be identified and addressed. Please refer to the background paper, “About Health Facilities’ State Enforcement Actions” for information regarding California state enforcement actions before using these data. Data dictionaries and data summary charts are also available. Note: The Data Dictionary at the bottom of the dataset incorrectly lists the data column formats as all Text. For proper format labels, please go here.

This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW9, RW10, RW11 and RW12) were continuously operated using a sequence of charging and discharging currents between -4.5A and 4.5A. This type of charging and discharging operation is referred to here as random walk (RW) operation. Each of the loading periods lasted 5 minutes, and after 1500 periods (about 5 days) a series of reference charging and discharging cycles were performed in order to provide reference benchmarks for battery state health.

The State Snapshots provide graphical representations of State-specific health care quality information, including strengths, weaknesses, and opportunities for improvement. The goal is to help State officials and their public- and private-sector partners better understand health care quality and disparities in their State. State-level information used to create the State Snapshots is based on data collected for the National Healthcare Quality Report (NHQR). The State Snapshots include summary measures of quality of care and States' performances relative to all States, the region, and best performing States by overall health care quality, types of care (preventive, acute, and chronic), settings of care (hospitals, ambulatory care, nursing home, and home health), and clinical conditions (cancer, diabetes, heart disease, maternal and child health, and respiratory diseases). Special focus areas on diabetes, asthma, Healthy People 2010, clinical preventive services, disparities, payer, and variation over time are also featured. The Agency for Healthcare Research and Quality (AHRQ) has released the State Snapshots each year in conjunction with the 2004 NHQR through the 2009 NHQR.

State comparisons data for births, deaths, infant death, disease, abortion, median age, marriages, divorces, physicians, nurses, and health insurance coverage. Data include a national ranking.

This data was collected by the Office of the National Coordinator for Health IT in coordination with Clinovations and the George Washington University Milken Institute of Public Health. ONC and its partners collected the data through research of state government and health information organization websites. The dataset provides policy and law details for four distinct policies or laws, and, where available, hyperlinks to official state records or websites. These four policies or laws are: 1) State Health Information Exchange (HIE) Consent Policies; 2) State-Sponsored HIE Consent Policies; 3) State Laws Requiring Authorization to Disclose Mental Health Information for Treatment, Payment, and Health Care Operations (TPO); and 4) State Laws that Apply a Minimum Necessary Standard to Treatment Disclosures of Mental Health Information.

In 2023, the share of adults who claimed to have a poor state of health was *** percent in Brazil. This negative perception of their own health was higher among older segments of the population, particularly those aged 55 and **, with over ***** percent of respondents perceiving their health condition as bad or very bad. Moreover, when asked how they would evaluate their health status, women assessed it worse than men in Brazil.

United States Health Insurance Market was valued at USD 1234.45 Billion in 2024 and is expected to reach USD 1778.32 Billion by 2030 with a CAGR of 6.98%.

United States Health Insurance: Enrollment data was reported at 271.000 USD mn in Sep 2024. This records an increase from the previous number of 269.000 USD mn for Jun 2024. United States Health Insurance: Enrollment data is updated quarterly, averaging 225.000 USD mn from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 278.000 USD mn in Jun 2023 and a record low of 174.000 USD mn in Jun 2012. United States Health Insurance: Enrollment data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG017: Health Insurance: Industry Financial Snapshots.

In 2022, around****** percent of the total population of the United States was uninsured. Texas was the state with the highest percentage of uninsured among its population, while Massachusetts reported the lowest share of uninsured This statistic presents the percentage of the total population in the United States without health insurance in 2022, by state.

In 2020, the Washington State Legislature enacted Engrossed Substitute Senate Bill (ESSB) 6404 (Chapter 316, Laws of 2020, codified at RCW 48.43.0161), which requires that health carriers with at least one percent of the market share in Washington State annually report certain aggregated and de-identified data related to prior authorization to the Office of the Insurance Commissioner (OIC). Prior authorization is a utilization review tool used by carriers to review the medical necessity of requested health care services for specific health plan enrollees. Carriers choose the services that are subject to prior authorization review. The reported data includes prior authorization information for the following categories of health services: • Inpatient medical/surgical • Outpatient medical/surgical • Inpatient mental health and substance use disorder • Outpatient mental health and substance use disorder • Diabetes supplies and equipment • Durable medical equipment The carriers must report the following information for the prior plan year (PY) for their individual and group health plans for each category of services: • The 10 codes with the highest number of prior authorization requests and the percent of approved requests. • The 10 codes with the highest percentage of approved prior authorization requests and the total number of requests. • The 10 codes with the highest percentage of prior authorization requests that were initially denied and then approved on appeal and the total number of such requests. Carriers also must include the average response time in hours for prior authorization requests and the number of requests for each covered service in the lists above for: • Expedited decisions. • Standard decisions. • Extenuating-circumstances decisions. Engrossed Second Substitute House Bill 1357 added additional prescription drug prior authorization reporting requirements for health carriers beginning in reporting year 2024. Carriers were provided the opportunity to submit voluntary prescription drug prior authorization data for the 2023 reporting period. Prescription drug reporting was required for the 2024 reporting period.

The Health IT State Policy Levers Compendium was developed by the Office of National Coordinator for Health Information Technology (ONC) in coordination with states. It is intended to support state efforts to advance interoperability and can also be used in service of delivery system reform. The Compendium includes a directory of health IT policy levers and nearly 300 examples of how states have used them. The 'Activities Catalog' includes the over 300 documented examples of health IT policy levers in use by states. The catalog data includes the states using the policy lever to promote health IT and advance interoperability, the state's documented activities, and official information source for these activities.

State and Local Public Health Departments in the United States Governmental public health departments are responsible for creating and maintaining conditions that keep people healthy. A local health department may be locally governed, part of a region or district, be an office or an administrative unit of the state health department, or a hybrid of these. Furthermore, each community has a unique "public health system" comprising individuals and public and private entities that are engaged in activities that affect the public's health. (Excerpted from the Operational Definition of a functional local health department, National Association of County and City Health Officials, November 2005) Please reference http://www.naccho.org/topics/infrastructure/accreditation/upload/OperationalDefinitionBrochure-2.pdf for more information. Facilities involved in direct patient care are intended to be excluded from this dataset; however, some of the entities represented in this dataset serve as both administrative and clinical locations. This dataset only includes the headquarters of Public Health Departments, not their satellite offices. Some health departments encompass multiple counties; therefore, not every county will be represented by an individual record. Also, some areas will appear to have over representation depending on the structure of the health departments in that particular region. Town health officers are included in Vermont and boards of health are included in Massachusetts. Both of these types of entities are elected or appointed to a term of office during which they make and enforce policies and regulations related to the protection of public health. Visiting nurses are represented in this dataset if they are contracted through the local government to fulfill the duties and responsibilities of the local health organization. Since many town health officers in Vermont work out of their personal homes, TechniGraphics represented these entities at the town hall. This is denoted in the [DIRECTIONS] field. Effort was made by TechniGraphics to verify whether or not each health department tracks statistics on communicable diseases. 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. "#" and "*" characters were automatically removed from standard HSIP fields populated by TechniGraphics. Double spaces were replaced by single spaces in these same fields. 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 on this field, the oldest record dates from 11/18/2009 and the newest record dates from 01/08/2010.

Abstract

The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace. Source: https://www.kaggle.com/hhs/health-insurance-marketplace