Medical Expenditure Panel Survey
E165820
The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Medical Expenditure Panel Survey canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1452021 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Expenditure Panel Survey Context triple: [Agency for Healthcare Research and Quality, hasProgram, Medical Expenditure Panel Survey]
-
A.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
B.
MEPS
MEPS is a U.S. Department of Defense facility where prospective military recruits undergo medical examinations, aptitude testing, and enlistment processing before entering active service.
-
C.
Agency for Healthcare Research and Quality
The Agency for Healthcare Research and Quality is a U.S. federal agency that conducts and supports research to improve the quality, safety, efficiency, and effectiveness of healthcare for all Americans.
-
D.
U.S. Federal Statistical System
The U.S. Federal Statistical System is the decentralized network of federal agencies responsible for collecting, analyzing, and disseminating official national statistics on the economy, population, health, and other key aspects of American life.
-
E.
National Incident-Based Reporting System
The National Incident-Based Reporting System is a U.S. crime data collection program that compiles detailed, incident-level information on offenses reported to law enforcement agencies nationwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medical Expenditure Panel Survey Target entity description: The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
-
A.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
B.
MEPS
MEPS is a U.S. Department of Defense facility where prospective military recruits undergo medical examinations, aptitude testing, and enlistment processing before entering active service.
-
C.
Agency for Healthcare Research and Quality
The Agency for Healthcare Research and Quality is a U.S. federal agency that conducts and supports research to improve the quality, safety, efficiency, and effectiveness of healthcare for all Americans.
-
D.
U.S. Federal Statistical System
The U.S. Federal Statistical System is the decentralized network of federal agencies responsible for collecting, analyzing, and disseminating official national statistics on the economy, population, health, and other key aspects of American life.
-
E.
National Incident-Based Reporting System
The National Incident-Based Reporting System is a U.S. crime data collection program that compiles detailed, incident-level information on offenses reported to law enforcement agencies nationwide.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
health survey
ⓘ
household survey ⓘ national survey ⓘ panel survey ⓘ |
| acronym | MEPS ⓘ |
| administeredBy |
United States government
ⓘ
surface form:
U.S. federal government
|
| collects |
access to and satisfaction with care
ⓘ
demographic characteristics ⓘ employment information ⓘ health care expenditures and payments ⓘ health insurance details ⓘ health status ⓘ income information ⓘ medical conditions ⓘ sources of health insurance ⓘ use of medical services ⓘ |
| coSponsor | Centers for Disease Control and Prevention ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataType |
cross-sectional data
ⓘ
longitudinal data ⓘ microdata ⓘ |
| design |
nationally representative sample
ⓘ
overlapping panel design ⓘ |
| field |
health economics
ⓘ
health services research ⓘ public health ⓘ |
| hasComponent |
Household Component
ⓘ
Insurance Component ⓘ Medical Provider Component ⓘ |
| language | English ⓘ |
| population | U.S. civilian noninstitutionalized population ⓘ |
| predecessor | National Medical Expenditure Survey ⓘ |
| sponsor | Agency for Healthcare Research and Quality ⓘ |
| sponsorAcronym |
Agency for Healthcare Research and Quality
ⓘ
surface form:
AHRQ
|
| startPeriod | late 1990s ⓘ |
| timeCoverage | annual data ⓘ |
| topic |
access to care
ⓘ
health care expenditures ⓘ health care utilization ⓘ health insurance coverage ⓘ prescription drug use ⓘ sources of payment for health care ⓘ |
| unitOfObservation |
family
ⓘ
household ⓘ individual ⓘ |
| usedFor |
estimating national health care spending
ⓘ
evaluating health insurance coverage ⓘ health services research ⓘ policy analysis ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Medical Expenditure Panel Survey Description of subject: The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.