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
- (-) Care Management (2)
- Children/Adolescents (1)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (1)
- Community-Based Practice (1)
- Diagnostic Safety and Quality (1)
- (-) Electronic Health Records (EHRs) (2)
- Health Information Technology (HIT) (2)
- Obesity (1)
- Obesity: Weight Management (1)
- Outcomes (1)
- Pain (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
1 to 2 of 2 Research Studies DisplayedJuckett DA, Davis FN, Gostine M
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
The researchers aimed to build a phenotype-to-outcome model targeting chronic pain to be used to drive clinical decision support for pain medicine in the community setting. Exploratory factor analysis of the intake Pain Health Assessment revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction.
AHRQ-funded; HS022335.
Citation: Juckett DA, Davis FN, Gostine M .
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
BMC Med Inform Decis Mak 2015 May 28;15:41. doi: 10.1186/s12911-015-0164-4..
Keywords: Care Management, Chronic Conditions, Community-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Pain
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