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
Topics
- Access to Care (102)
- Adverse Events (2)
- Ambulatory Care and Surgery (7)
- Antibiotics (2)
- Antimicrobial Stewardship (1)
- Anxiety (1)
- Arthritis (1)
- Asthma (1)
- Autism (1)
- Behavioral Health (28)
- Blood Pressure (3)
- Brain Injury (1)
- Cancer (15)
- Cancer: Breast Cancer (3)
- Cancer: Cervical Cancer (1)
- Cancer: Colorectal Cancer (2)
- Cancer: Lung Cancer (1)
- Cancer: Ovarian Cancer (1)
- Cardiovascular Conditions (4)
- Care Coordination (1)
- Care Management (4)
- Case Study (1)
- Centers for Education and Research on Therapeutics (CERTs) (1)
- Children's Health Insurance Program (CHIP) (15)
- Children/Adolescents (42)
- Chronic Conditions (12)
- Colonoscopy (1)
- Communication (2)
- Community-Based Practice (4)
- Community Partnerships (1)
- Comparative Effectiveness (2)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (2)
- COVID-19 (6)
- Critical Care (1)
- Data (4)
- Dementia (1)
- Dental and Oral Health (9)
- Depression (4)
- Diabetes (10)
- Diagnostic Safety and Quality (1)
- Digestive Disease and Health (1)
- Disabilities (3)
- Disparities (31)
- Education: Patient and Caregiver (2)
- Elderly (15)
- Electronic Health Records (EHRs) (7)
- Emergency Department (15)
- Emergency Medical Services (EMS) (3)
- Evidence-Based Practice (3)
- Eye Disease and Health (2)
- Genetics (2)
- Healthcare-Associated Infections (HAIs) (2)
- Healthcare Cost and Utilization Project (HCUP) (20)
- Healthcare Costs (138)
- Healthcare Delivery (18)
- Healthcare Utilization (38)
- Health Information Technology (HIT) (5)
- (-) Health Insurance (434)
- Health Literacy (1)
- Health Services Research (HSR) (10)
- Health Status (7)
- Health Systems (2)
- Heart Disease and Health (2)
- Home Healthcare (1)
- Hospitalization (15)
- Hospital Readmissions (6)
- Hospitals (19)
- Human Immunodeficiency Virus (HIV) (5)
- Imaging (1)
- Implementation (2)
- Injuries and Wounds (1)
- Inpatient Care (1)
- Intensive Care Unit (ICU) (2)
- Kidney Disease and Health (2)
- Labor and Delivery (5)
- Learning Health Systems (1)
- Lifestyle Changes (2)
- Long-Term Care (2)
- Low-Income (42)
- Maternal Care (12)
- Medicaid (134)
- Medical Devices (1)
- Medical Errors (1)
- Medical Expenditure Panel Survey (MEPS) (60)
- Medical Liability (1)
- Medicare (73)
- Medication (37)
- Mortality (5)
- Neurological Disorders (3)
- Newborns/Infants (4)
- Nursing Homes (1)
- Nutrition (1)
- Obesity (3)
- Obesity: Weight Management (2)
- Opioids (6)
- Organizational Change (2)
- Orthopedics (2)
- Outcomes (14)
- Patient-Centered Healthcare (3)
- Patient-Centered Outcomes Research (5)
- Patient Adherence/Compliance (5)
- Patient and Family Engagement (1)
- Patient Experience (2)
- Patient Safety (3)
- Payment (38)
- Pneumonia (1)
- Policy (123)
- Practice-Based Research Network (PBRN) (1)
- Practice Patterns (2)
- Pregnancy (12)
- Prevention (12)
- Primary Care (23)
- Primary Care: Models of Care (1)
- Provider (2)
- Provider: Health Personnel (1)
- Provider: Physician (4)
- Provider Performance (4)
- Public Health (1)
- Quality Improvement (4)
- Quality Indicators (QIs) (2)
- Quality Measures (3)
- Quality of Care (17)
- Racial and Ethnic Minorities (26)
- Research Methodologies (1)
- Risk (3)
- Rural/Inner-City Residents (1)
- Rural Health (1)
- Screening (4)
- Sex Factors (1)
- Sexual Health (2)
- Shared Decision Making (4)
- Sickle Cell Disease (2)
- Skin Conditions (1)
- Sleep Problems (1)
- Social Determinants of Health (15)
- Stroke (1)
- Substance Abuse (17)
- Surgery (20)
- Teams (1)
- Telehealth (1)
- Tobacco Use (6)
- Tobacco Use: Smoking Cessation (2)
- Trauma (3)
- Treatments (3)
- Uninsured (56)
- Urban Health (1)
- Vaccination (2)
- Vulnerable Populations (9)
- Web-Based (1)
- Women (22)
- Workforce (2)
- Young Adults (9)
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
426 to 434 of 434 Research Studies DisplayedHatch B, Angier H, Marino M
Using electronic health records to conduct children's health insurance surveillance.
The purpose of this study is to demonstrate secondary usage of electronic health records (EHRs) as an emerging data source for health insurance surveillance by community health centers and other primary care providers to track patients’ insurance coverage status and to identify patients most likely to benefit from outreach and support to obtain and maintain coverage.
AHRQ-funded; HS018569.
Citation: Hatch B, Angier H, Marino M .
Using electronic health records to conduct children's health insurance surveillance.
Pediatrics 2013 Dec;132(6):e1584-91. doi: 10.1542/peds.2013-1470..
Keywords: Electronic Health Records (EHRs), Children/Adolescents, Health Insurance, Children's Health Insurance Program (CHIP), Health Information Technology (HIT)
Abdus S, Selden TM
AHRQ Author: Abdus S, Selden TM
Preventive services for adults: how have differences across subgroups changed over the past decade?
This study uses MEPS data to track changes over time in the distribution of preventive services use across groups defined by poverty status, race/ethnicity, insurance coverage, Census region, and urbanicity. The analysis found that differences across subgroups tended to persist over time, with some of the largest gaps between adults with and without coverage. Regional differences persisted or widened over the study period.
AHRQ-authored.
Citation: Abdus S, Selden TM .
Preventive services for adults: how have differences across subgroups changed over the past decade?
Med Care 2013 Nov;51(11):999-1007. doi: 10.1097/MLR.0b013e3182a97bc0.
.
.
Keywords: Healthcare Utilization, Health Insurance, Medical Expenditure Panel Survey (MEPS), Prevention, Social Determinants of Health
Zhang M, Shubina M, Morrison F
Following the money: copy-paste of lifestyle counseling documentation and provider billing.
To find out whether copied documentation of lifestyle counseling was used to justify higher evaluation and management (E&M) charges, researchers investigated 12,527 patient encounters in which lifestyle counseling was documented. When time spent on counseling was recorded, copied lifestyle counseling was associated with a decrease of 70.5% in the odds of higher E&M charges.
AHRQ-funded; HS017030
Citation: Zhang M, Shubina M, Morrison F .
Following the money: copy-paste of lifestyle counseling documentation and provider billing.
BMC Health Serv Res. 2013 Oct 2;13:377. doi: 10.1186/1472-6963-13-377..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Insurance, Lifestyle Changes, Payment
Kirby JB, Kaneda T
AHRQ Author: Kirby JB
'Double jeopardy' measure suggests blacks and Hispanics face more severe disparities than previously indicated.
The authors proposed a new way of conceptualizing and quantifying the racial and ethnic disadvantages of uninsurance over the course of a lifetime. Their measures indicated that, compared to whites, Hispanics and blacks are more likely not only to be uninsured at any point throughout most of their lives, but also to spend more years uninsured and spend more of these uninsured years at high risk of needing medical care. They concluded that these life expectancy measures have the potential to reframe the discussion of disparities and monitor progress toward their elimination.
AHRQ-authored.
Citation: Kirby JB, Kaneda T .
'Double jeopardy' measure suggests blacks and Hispanics face more severe disparities than previously indicated.
Health Aff 2013 Oct;32(10):1766-72. doi: 10.1377/hlthaff.2013.0434.
.
.
Keywords: Disparities, Health Insurance, Health Status, Racial and Ethnic Minorities, Uninsured
Lieberthal RD
Analyzing the health care cost curve: a case study.
The author uses data from a self-insured employer plan to perform an analysis into the properties of the health care cost curve. He finds that costs rise continuously, not on an annual or monthly basis as typically charted by actuarial models. He concludes that population health management programs and health policy should be based on continuous analysis and adaption.
AHRQ-funded; HS018835
Citation: Lieberthal RD .
Analyzing the health care cost curve: a case study.
Popul Health Manag. 2013 Oct;16(5):341-8. doi: 10.1089/pop.2012.0102..
Keywords: Healthcare Costs, Health Insurance, Health Insurance
Tsui J, Gee GC, Rodriguez HP
Exploring the role of neighborhood socio-demographic factors on HPV vaccine initiation among low-income, ethnic minority girls.
This study of neighborhood factors associated with human papillomavirus (HPV) vaccine uptake, especially among disadvantaged groups, found that initiation rates were highest among girls from the most disadvantaged neighborhoods. However, mother’s awareness of HPV, age, and insurance status were also strong predictors for initiation.
AHRQ-funded; HS020172
Citation: Tsui J, Gee GC, Rodriguez HP .
Exploring the role of neighborhood socio-demographic factors on HPV vaccine initiation among low-income, ethnic minority girls.
J Immigr Minor Health. 2013 Aug;15(4):732-40. doi: 10.1007/s10903-012-9736-x..
Keywords: Vaccination, Children/Adolescents, Women, Health Insurance, Disparities
Cohen SB, Cohen JW
AHRQ Author: Cohen SB, Cohen JW
The capacity of the Medical Expenditure Panel Survey to inform the Affordable Care Act.
The authors provided a summary of the capacity of the Medical Expenditure Panel Survey to inform program planning, implementation, and evaluations of program performance for several components of the Affordable Care Act.
AHRQ-authored.
Citation: Cohen SB, Cohen JW .
The capacity of the Medical Expenditure Panel Survey to inform the Affordable Care Act.
Inquiry 2013 May;50(2):124-34. doi: 10.1177/0046958013513678.
.
.
Keywords: Data, Healthcare Costs, Health Insurance, Policy, Medical Expenditure Panel Survey (MEPS)
Miller GE, Selden TM
AHRQ Author: Miller GE, Selden TM
Tax subsidies for employer-sponsored health insurance: updated microsimulation estimates and sensitivity to alternative incidence assumptions.
Using MEPS data, the authors estimated 2012 tax expenditures for employer-sponsored insurance (ESI) in the United States and explored the sensitivity of estimates to assumptions regarding the incidence of employer premium contributions. They concluded that the aggregate value of the ESI tax subsidy and its distribution across firms can be reliably estimated using simplified incidence assumptions.
AHRQ-authored.
Citation: Miller GE, Selden TM .
Tax subsidies for employer-sponsored health insurance: updated microsimulation estimates and sensitivity to alternative incidence assumptions.
Health Serv Res 2013 Apr;48(2 Pt 2):866-83. doi: 10.1111/1475-6773.12037.
.
.
Keywords: Healthcare Costs, Health Insurance, Medical Expenditure Panel Survey (MEPS)
Pines JM, Mutter RL, Zocchi MS
AHRQ Author: Mutter RL
Variation in emergency department admission rates across the United States.
The authors investigated factors related to variation in hospital-level emergency department (ED) admission rates. Using HCUP data, they found that higher proportions of Medicare and uninsured patients, more inpatient beds, lower ED volumes, for-profit ownership, trauma center status, and higher hospital occupancy rates were associated with higher ED admission rates.
AHRQ-authored.
Citation: Pines JM, Mutter RL, Zocchi MS .
Variation in emergency department admission rates across the United States.
Med Care Res Rev 2013 Apr;70(2):218-31. doi: 10.1177/1077558712470565.
.
.
Keywords: Emergency Department, Emergency Medical Services (EMS), Health Insurance, Healthcare Cost and Utilization Project (HCUP), Hospitalization