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 (2)
- Adverse Drug Events (ADE) (1)
- Arthritis (1)
- Blood Clots (1)
- Blood Pressure (1)
- Blood Thinners (1)
- Cardiovascular Conditions (9)
- Case Study (1)
- Comparative Effectiveness (2)
- Critical Care (2)
- Decision Making (3)
- Depression (1)
- Diagnostic Safety and Quality (2)
- Disparities (3)
- Education: Patient and Caregiver (1)
- Elderly (3)
- Emergency Medical Services (EMS) (1)
- Family Health and History (1)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Delivery (1)
- Healthcare Utilization (1)
- Health Services Research (HSR) (1)
- Heart Disease and Health (5)
- Home Healthcare (1)
- Hospital Discharge (1)
- Imaging (3)
- Inpatient Care (1)
- Medication (3)
- Medication: Safety (1)
- Mortality (2)
- Outcomes (2)
- Patient-Centered Outcomes Research (3)
- Racial and Ethnic Minorities (7)
- Risk (5)
- Screening (1)
- Sex Factors (1)
- Social Determinants of Health (1)
- (-) Stroke (27)
- U.S. Preventive Services Task Force (USPSTF) (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
26 to 27 of 27 Research Studies DisplayedNavar-Boggan AM, Rymer JA, Piccini JP
Accuracy and validation of an automated electronic algorithm to identify patients with atrial fibrillation at risk for stroke.
The goal of this study is to create and validate an algorithm for identifying patients with atrial fibrillation (AF) as well as to identify those at moderate to high risk of stroke using administrative data. The researchers concluded that automated methods can be used to identify patients with prevalent AF indicated for anticoagulation but such methods may result in misclassification of up to 12 percent.
AHRQ-funded; HS021092.
Citation: Navar-Boggan AM, Rymer JA, Piccini JP .
Accuracy and validation of an automated electronic algorithm to identify patients with atrial fibrillation at risk for stroke.
Am Heart J 2015 Jan;169(1):39-44.e2. doi: 10.1016/j.ahj.2014.09.014..
Keywords: Heart Disease and Health, Stroke, Cardiovascular Conditions
George AJ, Boehme AK, Dunn CR
Trimming the fat in acute ischemic stroke: an assessment of 24-h CT scans in tPA patients.
The authors questioned the utility of routine 24-h computed tomography imaging and looked at the National Institutes of Health Stroke Scale as a possible clinical screen for selecting candidates for 24-h imaging. They found that routine 24-h computed tomography scan in patients without 24-h National Institutes of Health Stroke Scale worsening was less likely to yield information that results in a deviation from standard acute stroke care, and that no patient without worsening had parenchymal hematoma on 24-h computed tomography. They concluded that application of this Stroke Scale to distinguish patients who should have 24-h follow-up imaging from those who will not benefit is a potential avenue for improving utilization of resources and warrants further study.
AHRQ-funded; HS013852.
Citation: George AJ, Boehme AK, Dunn CR .
Trimming the fat in acute ischemic stroke: an assessment of 24-h CT scans in tPA patients.
Int J Stroke 2015 Jan;10(1):37-41. doi: 10.1111/ijs.12293.
.
.
Keywords: Decision Making, Imaging, Stroke