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
- Cardiovascular Conditions (1)
- Chronic Conditions (1)
- Evidence-Based Practice (1)
- Heart Disease and Health (1)
- Hospital Readmissions (1)
- Medical Liability (1)
- Patient-Centered Healthcare (1)
- Primary Care (1)
- (-) Provider Performance (3)
- Quality Improvement (1)
- Quality Measures (1)
- Quality of Care (1)
- (-) Risk (3)
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 3 of 3 Research Studies DisplayedParchman ML, Anderson ML, Dorr DA
A randomized trial of external practice support to improve cardiovascular risk factors in primary care.
Researchers conducted a randomized controlled trial to compare the effectiveness of adding various forms of enhanced external support to practice facilitation on primary care practices' clinical quality measure (CQM) performance. They concluded that, although they found no significant differences in CQM performance across study arms, the ability of a practice to reach a target level of performance may be enhanced by adding both educational outreach visits and shared learning to practice facilitation.
AHRQ-funded; HS023908.
Citation: Parchman ML, Anderson ML, Dorr DA .
A randomized trial of external practice support to improve cardiovascular risk factors in primary care.
Ann Fam Med 2019 Aug 12;17(Suppl 1):S40-s49. doi: 10.1370/afm.2407..
Keywords: Cardiovascular Conditions, Primary Care, Quality Improvement, Provider Performance, Quality Measures, Quality of Care, Risk, Evidence-Based Practice, Patient-Centered Healthcare, Chronic Conditions
Nguyen OK, Makam AN, Clark C
Predicting 30-day hospital readmissions in acute myocardial infarction: the AMI "READMITS" (Renal Function, Elevated Brain Natriuretic Peptide, Age, Diabetes Mellitus, Nonmale Sex, Intervention with Timely Percutaneous Coronary Intervention, and Low Systo
This study sought to develop an actionable and accurate acute myocardial infarction (AMI) readmission risk prediction model to identify high-risk patients as early as possible during hospitalization. The investigators found that the parsimonious AMI READMITS score enables early prospective identification of high-risk AMI patients for targeted readmissions reduction interventions within the first 24 hours of hospitalization. A full-stay AMI readmission model only modestly outperformed the AMI READMITS score in terms of discrimination, but surprisingly did not meaningfully improve reclassification.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Makam AN, Clark C .
Predicting 30-day hospital readmissions in acute myocardial infarction: the AMI "READMITS" (Renal Function, Elevated Brain Natriuretic Peptide, Age, Diabetes Mellitus, Nonmale Sex, Intervention with Timely Percutaneous Coronary Intervention, and Low Systo
J Am Heart Assoc 2018 Apr 17;7(8). doi: 10.1161/jaha.118.008882..
Keywords: Hospital Readmissions, Heart Disease and Health, Provider Performance, Risk
Carroll AE, Buddenbaum JL
High and low-risk specialties experience with the U.S. medical malpractice system.
This study examining the experiences of high-liability risk and low-liability risk medical specialties with the malpractice system found that for the high liability risk specialties, 33 percent of claims result in indemnity payments compared to 28 percent for low-liability risk specialties. The average payment for high-liability risk specialties was $315, compared to $267, 146 for low-liability risk specialties.
AHRQ-funded; HS017572.
Citation: Carroll AE, Buddenbaum JL .
High and low-risk specialties experience with the U.S. medical malpractice system.
BMC Health Serv Res. 2013 Nov 6;13:465. doi: 10.1186/1472-6963-13-465..
Keywords: Medical Liability, Risk, Provider Performance