National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedPortela M, Sommers BD
On the outskirts of national health reform: a comparative assessment of health insurance and access to care in Puerto Rico and the United States.
This article presents an overview of Puerto Rico’s health care system and a comparative analysis of coverage and access to care in Puerto Rico and the mainland United States. It found that uninsured rates were significantly lower in Puerto Rico;. Medicaid was far more common in Puerto Rico. Puerto Rican residents were more likely than those in the mainland United States to have a usual source of care and to have had a checkup within the past year.
AHRQ-funded; HS021291.
Citation: Portela M, Sommers BD .
On the outskirts of national health reform: a comparative assessment of health insurance and access to care in Puerto Rico and the United States.
Milbank Q 2015 Sep;93(3):584-608. doi: 10.1111/1468-0009.12138..
Keywords: Health Insurance, Access to Care, Policy, Medicaid, Uninsured
Toro-Diaz H, Mayorga ME, Barritt AS
Predicting liver transplant capacity using discrete event simulation.
The researchers constructed a discrete event simulation model informed by current donor characteristics to predict future liver transplant trends through the year 2030. They found that by altering assumptions about the future donor pool, their model can be used to develop policy interventions to prevent a further decline in this lifesaving therapy.
AHRQ-funded; HS019468.
Citation: Toro-Diaz H, Mayorga ME, Barritt AS .
Predicting liver transplant capacity using discrete event simulation.
Med Decis Making 2015 Aug;35(6):784-96. doi: 10.1177/0272989x14559055.
.
.
Keywords: Access to Care, Health Services Research (HSR), Policy, Transplantation