Randomized evaluations of health insurance expansions
E742206
"Randomized evaluations of health insurance expansions" is a research work that uses randomized experimental methods to measure how gaining health insurance affects individuals’ health, financial outcomes, and use of medical care.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Randomized evaluations of health insurance expansions canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8546995 — 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: Randomized evaluations of health insurance expansions Context triple: [Amy Finkelstein, notableWork, Randomized evaluations of health insurance expansions]
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A.
New York State Medicaid managed care organizations
New York State Medicaid managed care organizations are health plans that contract with the state to provide coordinated, comprehensive medical services to Medicaid enrollees under a managed care model.
-
B.
Reinventing American Health Care
Reinventing American Health Care is a book by bioethicist and health policy expert Ezekiel Emanuel that analyzes the U.S. health care system and the impact of the Affordable Care Act while proposing reforms to improve cost, access, and quality.
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C.
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.
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D.
Medicare Rural Hospital Flexibility Program
The Medicare Rural Hospital Flexibility Program is a U.S. federal initiative that supports rural hospitals—particularly Critical Access Hospitals—in improving financial stability, quality of care, and access to essential health services in underserved communities.
-
E.
National Medical Expenditure Survey
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.
- 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: Randomized evaluations of health insurance expansions Target entity description: "Randomized evaluations of health insurance expansions" is a research work that uses randomized experimental methods to measure how gaining health insurance affects individuals’ health, financial outcomes, and use of medical care.
-
A.
New York State Medicaid managed care organizations
New York State Medicaid managed care organizations are health plans that contract with the state to provide coordinated, comprehensive medical services to Medicaid enrollees under a managed care model.
-
B.
Reinventing American Health Care
Reinventing American Health Care is a book by bioethicist and health policy expert Ezekiel Emanuel that analyzes the U.S. health care system and the impact of the Affordable Care Act while proposing reforms to improve cost, access, and quality.
-
C.
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.
-
D.
Medicare Rural Hospital Flexibility Program
The Medicare Rural Hospital Flexibility Program is a U.S. federal initiative that supports rural hospitals—particularly Critical Access Hospitals—in improving financial stability, quality of care, and access to essential health services in underserved communities.
-
E.
National Medical Expenditure Survey
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.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic study
ⓘ
health economics research ⓘ policy evaluation study ⓘ research work ⓘ |
| aimsTo |
estimate causal effects of insurance coverage
ⓘ
evaluate welfare effects of health insurance ⓘ inform health policy ⓘ |
| analyzes |
access to medical care
ⓘ
catastrophic health expenditures ⓘ financial risk protection ⓘ health care utilization ⓘ out-of-pocket medical spending ⓘ |
| compares |
insured individuals
ⓘ
uninsured individuals ⓘ |
| controlsFor | selection bias into insurance ⓘ |
| evaluates |
distributional effects of health insurance
ⓘ
equity in access to care ⓘ financial protection from medical costs ⓘ |
| examines | effects of gaining health insurance ⓘ |
| field |
health economics
ⓘ
health policy ⓘ public health ⓘ |
| focusesOn | causal impact of health insurance coverage ⓘ |
| hasMethod | randomized experimental methods ⓘ |
| investigates |
effects on mental health
ⓘ
effects on physical health ⓘ hospital and emergency department use ⓘ preventive care use ⓘ primary care use ⓘ |
| measuresOutcome |
financial outcomes
ⓘ
health outcomes ⓘ use of medical care ⓘ |
| produces |
evidence on benefits of health insurance
ⓘ
evidence on costs of health insurance ⓘ |
| relevantTo |
Medicaid expansions
ⓘ
linked to:
Medicaid expansion
government health insurance programs ⓘ universal health coverage debates ⓘ |
| studies | health insurance expansions ⓘ |
| uses | random assignment to insurance coverage ⓘ |
| usesDesign | randomized controlled trial ⓘ |
| usesOutcomeMeasures |
bankruptcy risk
ⓘ
health care spending ⓘ medical debt ⓘ morbidity ⓘ mortality ⓘ self-reported health ⓘ |
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: Randomized evaluations of health insurance expansions Description of subject: "Randomized evaluations of health insurance expansions" is a research work that uses randomized experimental methods to measure how gaining health insurance affects individuals’ health, financial outcomes, and use of medical care.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.