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
- Adverse Events (5)
- Alcohol Use (1)
- Ambulatory Care and Surgery (1)
- Arthritis (2)
- Asthma (2)
- Behavioral Health (10)
- Blood Clots (1)
- Blood Pressure (1)
- Cardiovascular Conditions (2)
- Caregiving (2)
- Care Management (4)
- Case Study (1)
- Children/Adolescents (31)
- Chronic Conditions (3)
- Clinical Decision Support (CDS) (1)
- Clinician-Patient Communication (4)
- Communication (3)
- Comparative Effectiveness (5)
- COVID-19 (3)
- Cultural Competence (1)
- Depression (3)
- Diabetes (10)
- Diagnostic Safety and Quality (1)
- Disabilities (2)
- Disparities (4)
- Education (1)
- Education: Patient and Caregiver (4)
- Elderly (2)
- Electronic Health Records (EHRs) (5)
- Evidence-Based Practice (5)
- Family Health and History (9)
- Guidelines (1)
- Healthcare Costs (5)
- Healthcare Utilization (1)
- Health Information Technology (HIT) (8)
- Health Insurance (2)
- Health Literacy (1)
- Health Promotion (2)
- Health Services Research (HSR) (1)
- Health Status (3)
- Heart Disease and Health (3)
- Hospitalization (1)
- Hospital Readmissions (3)
- Human Immunodeficiency Virus (HIV) (3)
- Kidney Disease and Health (2)
- Lifestyle Changes (20)
- Low-Income (2)
- Maternal Care (2)
- Medical Expenditure Panel Survey (MEPS) (1)
- Medicare (3)
- Medication (7)
- Newborns/Infants (3)
- Nutrition (11)
- Obesity (93)
- (-) Obesity: Weight Management (105)
- Opioids (1)
- Orthopedics (1)
- Outcomes (14)
- Pain (1)
- Patient-Centered Healthcare (6)
- Patient-Centered Outcomes Research (7)
- Patient Adherence/Compliance (4)
- Patient and Family Engagement (1)
- Patient Safety (2)
- Patient Self-Management (3)
- Payment (1)
- Policy (1)
- Practice Patterns (2)
- Pregnancy (4)
- Prevention (3)
- Primary Care (7)
- Primary Care: Models of Care (1)
- Provider (2)
- Provider: Physician (2)
- Provider Performance (1)
- Quality Measures (1)
- Quality of Care (2)
- Racial and Ethnic Minorities (12)
- Research Methodologies (1)
- Respiratory Conditions (2)
- Risk (5)
- Screening (1)
- Sex Factors (1)
- Shared Decision Making (2)
- Sleep Problems (1)
- Social Determinants of Health (4)
- Social Media (1)
- Social Stigma (2)
- Stress (2)
- Substance Abuse (1)
- Surgery (29)
- Telehealth (2)
- Tobacco Use (1)
- Transplantation (1)
- Trauma (1)
- U.S. Preventive Services Task Force (USPSTF) (1)
- Vulnerable Populations (1)
- Women (3)
- Workflow (1)
- Young Adults (1)
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
101 to 105 of 105 Research Studies DisplayedMcVay MA, Jeffreys AS, King HA
The relationship between pretreatment dietary composition and weight loss during a randomised trial of different diet approaches.
Identifying pretreatment dietary habits that are associated with weight-loss intervention outcomes could help guide individuals’ selection of weight-loss approach among competing options. This study concluded that selection of a weight-loss approach on the basis of pretreatment macronutrient intake is unlikely to improve weight outcomes at the end of a 1-year treatment.
AHRQ-funded; HS000079.
Citation: McVay MA, Jeffreys AS, King HA .
The relationship between pretreatment dietary composition and weight loss during a randomised trial of different diet approaches.
J Hum Nutr Diet 2015 Feb;28 Suppl 2:16-23. doi: 10.1111/jhn.12188..
Keywords: Nutrition, Obesity: Weight Management, Obesity, Outcomes, Comparative Effectiveness
Shaikh U, Berrong J, Nettiksimmons J
Impact of electronic health record clinical decision support on the management of pediatric obesity.
The investigators assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. They found a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity.
AHRQ-funded; HS018567.
Citation: Shaikh U, Berrong J, Nettiksimmons J .
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Am J Med Qual 2015 Jan-Feb;30(1):72-80. doi: 10.1177/1062860613517926.
.
.
Keywords: Care Management, Children/Adolescents, Clinical Decision Support (CDS), Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity, Obesity: Weight Management
Aldrich H, Gance-Cleveland B, Schmiege S
School-based health center providers' treatment of overweight children.
The purpose of this study was to determine self-reported treatment practices of school-based health center (SBHC) providers when caring for overweight/obese children. SBHC providers reported patient/parent barriers to be more significant to treatment than clinician/setting barriers. Most providers (97%) indicated childhood overweight needs treatment, yet only 36% indicated that they initiate treatment in children who do not want to control their weight. SBHC providers also did not commonly refer these children to specialists.
AHRQ-funded; HS018646.
Citation: Aldrich H, Gance-Cleveland B, Schmiege S .
School-based health center providers' treatment of overweight children.
J Pediatr Nurs 2014 Nov-Dec;29(6):521-7. doi: 10.1016/j.pedn.2014.05.007.
.
.
Keywords: Care Management, Children/Adolescents, Education, Obesity, Prevention, Obesity: Weight Management
McCormick EV, Dickinson LM, Haemer MA
What can providers learn from childhood body mass index trajectories: a study of a large, safety-net clinical population.
The investigators described childhood weight gain using body mass index (BMI) z-score trajectories in a low-income urban safety-net population and identified among gender- and race/ethnicity-specific groups any trends for increased risk. They found that all gender and race/ethnicity subgroups showed increasing average BMI z-scores during childhood, with Hispanic boys and black girls showing the most significant increase during this observation period. They further found that many obese children were already overweight by age 3, and persistence of obesity after 3 years of age was high. They concluded that intervention before age 3 may be essential to curbing unhealthy weight trajectories.
AHRQ-funded; HS021138.
Citation: McCormick EV, Dickinson LM, Haemer MA .
What can providers learn from childhood body mass index trajectories: a study of a large, safety-net clinical population.
Acad Pediatr 2014 Nov-Dec;14(6):639-45. doi: 10.1016/j.acap.2014.06.009.
.
.
Keywords: Children/Adolescents, Obesity, Racial and Ethnic Minorities, Social Determinants of Health, Obesity: Weight Management
Sorkin DH, Mavandadi S, Rook KS
AHRQ Author: Ngo-Metzger Q
Dyadic collaboration in shared health behavior change: the effects of a randomized trial to test a lifestyle intervention for high-risk Latinas.
The authors sought to evaluate the feasibility of a pilot, dyad-based lifestyle intervention, the Unidas por la Vida program, for improving weight loss and dietary intake among high-risk Mexican American mothers with Type 2 diabetes and their overweight/obese adult daughters. They found that, at 16 weeks, Unidas participants lost significantly more weight compared with the control participants, and intervention participants also were more likely to be eating foods with lower glycemic load and less saturated fat. They concluded that interventions that draw upon multiple people who share a health-risk have the potential to foster significant changes in lifestyle behaviors and in social network members' health-related involvement.
AHRQ-authored.
Citation: Sorkin DH, Mavandadi S, Rook KS .
Dyadic collaboration in shared health behavior change: the effects of a randomized trial to test a lifestyle intervention for high-risk Latinas.
Health Psychol 2014 Jun;33(6):566-75. doi: 10.1037/hea0000063.
.
.
Keywords: Diabetes, Lifestyle Changes, Obesity, Racial and Ethnic Minorities, Obesity: Weight Management