National Medical Expenditure Survey
E641843
The National Medical Expenditure Survey was a large-scale U.S. government survey that collected detailed data on Americans’ health care use, costs, and insurance coverage, serving as a foundational source for health policy research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| National Medical Expenditure Survey canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7116024 — 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: National Medical Expenditure Survey Context triple: [Medical Expenditure Panel Survey, predecessor, National Medical Expenditure Survey]
-
A.
Medical Expenditure Panel Survey
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.
-
B.
NAHMS
NAHMS is a U.S. Department of Agriculture program that conducts nationwide studies to monitor and report on the health, management, and productivity of domestic livestock populations.
-
C.
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.
-
D.
American Community Survey
The American Community Survey is an ongoing nationwide survey conducted by the U.S. Census Bureau that provides detailed annual demographic, social, economic, and housing data about the U.S. population.
-
E.
Public Expenditure Survey system
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
- 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: National Medical Expenditure Survey Target entity description: The National Medical Expenditure Survey was a large-scale U.S. government survey that collected detailed data on Americans’ health care use, costs, and insurance coverage, serving as a foundational source for health policy research.
-
A.
Medical Expenditure Panel Survey
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.
-
B.
NAHMS
NAHMS is a U.S. Department of Agriculture program that conducts nationwide studies to monitor and report on the health, management, and productivity of domestic livestock populations.
-
C.
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.
-
D.
American Community Survey
The American Community Survey is an ongoing nationwide survey conducted by the U.S. Census Bureau that provides detailed annual demographic, social, economic, and housing data about the U.S. population.
-
E.
Public Expenditure Survey system
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
government survey
ⓘ
health expenditure survey ⓘ health survey ⓘ |
| administeredBy |
Agency for Health Care Policy and Research
ⓘ
linked to:
Agency for Healthcare Research and Quality
National Center for Health Services Research ⓘ
linked to:
Agency for Healthcare Research and Quality
U.S. Department of Health and Human Services ⓘ |
| alsoKnownAs | NMES ⓘ |
| collects |
charges and payments for services
ⓘ
demographic characteristics ⓘ health insurance plan details ⓘ health status information ⓘ utilization of medical services ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataType |
longitudinal data
ⓘ
microdata ⓘ |
| focusesOn |
health care expenditures
ⓘ
health care utilization ⓘ health insurance coverage ⓘ out-of-pocket health spending ⓘ sources of payment for medical care ⓘ |
| fundedBy |
U.S. federal government
ⓘ
linked to:
United States government
|
| impact |
provided baseline data for U.S. health reform analyses
ⓘ
served as foundation for the design of the Medical Expenditure Panel Survey ⓘ |
| includes |
household component
ⓘ
institutional component ⓘ insurance component ⓘ provider component ⓘ |
| methodology |
multistage area probability design
ⓘ
probability sample ⓘ |
| population | U.S. civilian noninstitutionalized population ⓘ |
| predecessorOf | Medical Expenditure Panel Survey ⓘ |
| sector | public sector ⓘ |
| timePeriod |
1980s
ⓘ
early 1990s ⓘ |
| topic |
health care financing
ⓘ
health economics ⓘ health insurance ⓘ health services utilization ⓘ |
| usedFor |
analyzing access to medical care
ⓘ
cost-effectiveness analysis ⓘ estimating national health expenditures ⓘ evaluating health insurance coverage patterns ⓘ health policy research ⓘ health services research ⓘ |
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: National Medical Expenditure Survey Description of subject: The National Medical Expenditure Survey was a large-scale U.S. government survey that collected detailed data on Americans’ health care use, costs, and insurance coverage, serving as a foundational source for health policy research.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.