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Search All Research Studies
Topics
- Access to Care (2)
- Alcohol Use (1)
- Chronic Conditions (2)
- Disparities (2)
- Education (1)
- Education: Academic (1)
- Healthcare Utilization (1)
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- (-) Health Status (9)
- Low-Income (1)
- Medicaid (2)
- (-) Medical Expenditure Panel Survey (MEPS) (9)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 9 of 9 Research Studies DisplayedVistnes JP, Hill SC
AHRQ Author: Vistnes JP, Hill SC
The dynamics Of Medicaid enrollment, employment, and beneficiary health status.
In this article, the authors discuss the dynamics of Medicaid enrollment, employment and beneficiary status. Using national data, the investigators found that 13.9 percent of new, nonelderly adult Medicaid beneficiaries in 2015-16 had experienced a decline in health before enrollment, and a similar percentage had had jobs that ended before they enrolled.
AHRQ-authored.
Citation: Vistnes JP, Hill SC .
The dynamics Of Medicaid enrollment, employment, and beneficiary health status.
Health Aff 2019 Sep;38(9):1491-95. doi: 10.1377/hlthaff.2019.00066..
Keywords: Health Status, Medicaid, Medical Expenditure Panel Survey (MEPS), Policy
Biener AI, Zuvekas SH
AHRQ Author: Zuvekas SH
Do racial and ethnic disparities in health care use vary with health?
Researchers used Medical Expenditure Panel Survey (MEPS) data from 2010-2014 to evaluate health care use between black-white and Hispanic-white adults. They found that there was the widest disparity in health care use in adults in excellent health between Hispanics and whites but the opposite was true for blacks and whites. Differences are attributed to health insurance coverage and access to health care overall.
AHRQ-authored.
Citation: Biener AI, Zuvekas SH .
Do racial and ethnic disparities in health care use vary with health?
Health Serv Res 2019 Feb;54(1):64-74. doi: 10.1111/1475-6773.13087..
Keywords: Access to Care, Disparities, Healthcare Utilization, Health Insurance, Health Status, Medical Expenditure Panel Survey (MEPS), Racial and Ethnic Minorities
Kaplan RM, Fang Z, Kirby J
AHRQ Author: Kirby J
Educational attainment and health outcomes: data from the Medical Expenditures Panel Survey.
This study explored the extent to which health care utilization and health risk-taking can explain the education-health gradient above and beyond what can be explained by previously examined mediators such as age, race, and poverty status. It found systematic graded relationships between educational attainment and health including, SF-12 PCS scores, self-rated health, and activity limitations. Education was associated with more office visits and outpatient visits and less risk tolerance.
AHRQ-authored.
Citation: Kaplan RM, Fang Z, Kirby J .
Educational attainment and health outcomes: data from the Medical Expenditures Panel Survey.
Health Psychol 2017 Jun;36(6):598-608. doi: 10.1037/hea0000431.
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Keywords: Education: Academic, Education, Health Status, Medical Expenditure Panel Survey (MEPS)
Chang SH, Yu YC, Carlsson NP
Racial disparity in life expectancies and life years lost associated with multiple obesity-related chronic conditions.
This study investigated racial disparity in life expectancies (LEs) and life years lost associated with multiple obesity-related chronic conditions. It found that black individuals had higher risks of developing diabetes, hypertension, and stroke. This disparity in LE between white and black participants was largest in men age 40 to 49 with at least stroke: black men lived 3.12 years shorter than white men.
AHRQ-funded; HS022330.
Citation: Chang SH, Yu YC, Carlsson NP .
Racial disparity in life expectancies and life years lost associated with multiple obesity-related chronic conditions.
Obesity 2017 May;25(5):950-57. doi: 10.1002/oby.21822.
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Keywords: Chronic Conditions, Disparities, Health Status, Medical Expenditure Panel Survey (MEPS), Obesity, Racial and Ethnic Minorities
Hanmer J, Hess R, Sullivan S
Benchmarking health-related quality-of-life data from a clinical setting.
This paper's objective was to construct a nationally representative health-related quality of life (HRQoL) benchmark for use with a clinical sample. The results showed that HRQoL benchmarks can be created from current public datasets, and subgroups in national samples may provide more valid benchmarks for clinical populations.
AHRQ-funded; HS022989.
Citation: Hanmer J, Hess R, Sullivan S .
Benchmarking health-related quality-of-life data from a clinical setting.
Am J Manag Care 2016 Oct;22(10):669-75.
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Keywords: Health Status, Medical Expenditure Panel Survey (MEPS), Quality of Life
Chavez LJ, Bradley K, Tefft N
Preference weights for the spectrum of alcohol use in the U.S. population.
One barrier to research has been the lack of preference weights needed to calculate Quality Adjusted Life Years (QALYs). Preference weights can be estimated from measures of health-related quality of life (HRQOL). The objective of this study was to describe preference weights for the full spectrum of alcohol use. It concluded that self-reported alcohol consumption may not be associated with preference weights.
AHRQ-funded; HS022800.
Citation: Chavez LJ, Bradley K, Tefft N .
Preference weights for the spectrum of alcohol use in the U.S. population.
Drug Alcohol Depend 2016 Apr 1;161:206-13. doi: 10.1016/j.drugalcdep.2016.02.004.
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Keywords: Medical Expenditure Panel Survey (MEPS), Alcohol Use, Substance Abuse, Health Status
Bernard DM, Selden TM
AHRQ Author: Bernard DM, Selden TM
Access to care among nonelderly veterans.
This study compared access to care for nonelderly adult veterans versus comparable non-veterans, overall and within subgroups defined by simulated eligibility for health care from the Veterans Health Administration and by insurance status. Its results showed that uninsured Veterans, the most policy-relevant group, have better access to care than comparable non-veterans.
AHRQ-authored.
Citation: Bernard DM, Selden TM .
Access to care among nonelderly veterans.
Med Care 2016 Mar;54(3):243-52. doi: 10.1097/mlr.0000000000000508.
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Keywords: Medical Expenditure Panel Survey (MEPS), Access to Care, Social Determinants of Health, Health Status
McGuire TG, Newhouse JP, Normand SL
AHRQ Author: Zuvekas S
Assessing incentives for service-level selection in private health insurance exchanges.
The authors used MEPS data to measure plan incentives by constructing predictive ratios and by measuring incentives based on the predictability and predictiveness of various medical diagnoses. They found that, among the chronic diseases studied, plans have the greatest incentive to skimp on care for cancer, mental health, and substance abuse.
AHRQ-authored.
Citation: McGuire TG, Newhouse JP, Normand SL .
Assessing incentives for service-level selection in private health insurance exchanges.
J Health Econ 2014 May;35:47-63. doi: 10.1016/j.jhealeco.2014.01.009.
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Keywords: Chronic Conditions, Health Insurance, Health Status, Medical Expenditure Panel Survey (MEPS)
Hill SC, Abdus S, Hudson JL
AHRQ Author: Hill SC, Hudson JL, Selden TM
Adults in the income range for the Affordable Care Act's Medicaid expansion are healthier than pre-ACA enrollees.
The investigators used MEPS data to compare nondisabled adults enrolled in Medicaid prior to the ACA with two other groups: adults who were eligible for Medicaid but not enrolled in it, and adults who were in the income range for the ACA's Medicaid expansion and thus newly eligible for coverage. They found that both the newly eligible and those eligible before the ACA but not enrolled were healthier on several measures than pre-ACA enrollees. They concluded that by expanding Medicaid eligibility, states could provide coverage to millions of healthier adults as well as to millions who have chronic conditions and who need care.
AHRQ-authored.
Citation: Hill SC, Abdus S, Hudson JL .
Adults in the income range for the Affordable Care Act's Medicaid expansion are healthier than pre-ACA enrollees.
Health Aff 2014 Apr;33(4):691-9. doi: 10.1377/hlthaff.2013.0743.
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Keywords: Health Insurance, Policy, Health Status, Low-Income, Medicaid, Medical Expenditure Panel Survey (MEPS)