National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
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- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
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- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Data Resources
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Data Resources
The Agency for Healthcare Research and Quality (AHRQ) offers practical, research-based tools and other resources to help a variety of health care organizations, providers and others make care safer in all health care settings.
Results
1-10 of 13 Resources displayedThis inaugural edition of the Compendium—Compendium of U.S. Health Systems, 2016—is composed of 626 U.S. health systems, defined in this analysis to include at least one hospital and at least one group of physicians providing comprehensive care, and who are connected with each other and with the hospital through common ownership or joint management. The Compendium database includes: System identification number (a unique number assigned by AHRQ), name, home office city, and State. Indicators of which data source identified the health system and health system identification numbers in the originating data source. Total counts of system hospitals, physician groups, physicians, primary care physicians, extent to which systems own or manage hospitals in multiple States, total acute care beds, discharges, and residents. Variables identifying the extent to which systems include investor-owned hospitals, serve children, include teaching hospitals, and serve a disproportionately high share of low-income and uninsured individuals.
These HCUP Statistical Briefs provide statistics about emergency department visits in community hospitals in the United States. Topics include reasons for emergency room visits among adults and children and transfers to other health care facilities from the emergency department.
These reports provide information on various aspects of utilization and spending for hospital-related treatment of mental and substance use disorders.
These HCUP Statistical Briefs provide statistics on hospital costs and use in the United States focused on specific types of insurers or payers—Medicaid, Medicare, and private insurance.
These HCUP Statistical Briefs provide statistics about mental health and substance abuse conditions (diagnoses) treated in U.S. hospitals. Topics include depression, drug abuse, and eating disorders.
The MEPS Household Component fields questionnaires to individual household members to collect nationally representative data on demographic characteristics, health conditions, health status, use of medical care services, charges and payments, access to care, satisfaction with care, health insurance coverage, income, and employment.
Because demographic characteristics are collected in the MEPS-Household Component, health care disparities can be examined for any topics within the MEPS Household Component survey.
In MEPS, a medical condition is defined as a physical or mental health problem that can be identified by a health care professional by examining a patient and using tests. Certain conditions have been designated as priority conditions (PRIOLIST=1) because of their prevalence, expense, or relevance to policy. Some are long-term, life-threatening conditions, such as cancer, diabetes, emphysema, high cholesterol, hypertension, ishemic heart disease, and stroke. Others are chronic manageable conditions, including arthritis, and asthma. Conditions data were collected from household respondents during each round as verbatim text and coded by professional coders using the International Classification of Diseases, Ninth Revision.
Health insurance coverage of the U.S. population by person and family-level characteristics is collected through the MEPS Household Component. Job-based health insurance coverage offered by employers is collected through the MEPS Insurance Component.
The MEPS- Household Component provides information on the body mass index for both children and adults. Using this measure, analyses can be performed on obesity issues.