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
Topics
- Asthma (1)
- Blood Pressure (1)
- Care Management (1)
- Children/Adolescents (2)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (1)
- (-) Diagnostic Safety and Quality (4)
- Electronic Health Records (EHRs) (2)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (1)
- Health Systems (1)
- (-) Obesity (4)
- Obesity: Weight Management (1)
- Patient-Centered Outcomes Research (1)
- Primary Care (2)
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 4 of 4 Research Studies DisplayedPantalone KM, Hobbs TM, Chagin KM
Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.
The purpose of the study was to determine the prevalence of obesity and its related comorbidities among patients being actively managed at a US academic medical centre, and to examine the frequency of a formal diagnosis of obesity. This cross-sectional summary from a large US integrated health system found that three out of every four patients had overweight or obesity based on BMI. Less than half of patients who were identified as having obesity according to BMI received a formal diagnosis via ICD-9 documentation.
AHRQ-funded; HS024128.
Citation: Pantalone KM, Hobbs TM, Chagin KM .
Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.
BMJ Open 2017 Nov 16;7(11):e017583. doi: 10.1136/bmjopen-2017-017583..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Systems, Obesity, Patient-Centered Outcomes Research
Bello JK, Mohanty N, Bauer V
Pediatric hypertension: provider perspectives.
The researchers aimed to gain insights into reasons for low rates of diagnosis and treatment from primary care providers. In interviews, providers reflected on numerous barriers to diagnosis, management, and follow-up; recommendations for educational content; and how community health center systems can be improved. Findings informed development of a multifaceted intervention.
AHRQ-funded; HS024100.
Citation: Bello JK, Mohanty N, Bauer V .
Pediatric hypertension: provider perspectives.
Glob Pediatr Health 2017 Jun 6;4:2333794x17712637. doi: 10.1177/2333794x17712637.
.
.
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Healthcare Delivery, Blood Pressure, Obesity, Primary Care
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
Mohanan S, Tapp H, McWilliams A
Obesity and asthma: pathophysiology and implications for diagnosis and management in primary care.
This review summarizes existing data that support the pathophysiologic mechanisms underlying the association between obesity and asthma, as well as the current and future state of treatment for the obese patient with asthma. It suggests that evidence of chronic inflammatory response linking obesity and asthma indicates a need to address obesity during asthma management, possibly by using patient-centered approaches such as shared decisionmaking.
AHRQ-funded; HS019946
Citation: Mohanan S, Tapp H, McWilliams A .
Obesity and asthma: pathophysiology and implications for diagnosis and management in primary care.
Exp Biol Med. 2014 Nov;239(11):1531-40. doi: 10.1177/1535370214525302..
Keywords: Obesity, Asthma, Diagnostic Safety and Quality, Primary Care, Chronic Conditions