National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
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- 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
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Key Drivers
Change Strategies
EvidenceNOW: Tools and Resources
The Agency for Healthcare and Quality (AHRQ) offers practical, research-based tools and other resources to help a variety of health care origanizations, provider, and others make care safer in all health care settings. AHRQ's evidence-based tools and resources are used by organizations nationwide to improve the quality, safety, effectiveness, and efficiency of health care. Improving health care quality by increasing the capacity of small primary care practices to implement the best clinical evidence is our aim. These tools and resources can be searched by the key drivers and the change strategies of the EvidenceNOW Key Driver Diagram.
Results
21 to 30 of 36 Tools and Resources DisplayedThis implementation guide by the Safety Net Medical Home Initiative addresses why care teams are important for improving patient care and ways to build an effective care team that meets patients’ needs and expectations.
This online tutorial introduces health care professionals and others to the principles of evidence-based practice that uses the current best evidence combined with clinical expertise and patient values and preferences to guide care decisions.
This article outlines the important steps to develop dashboards for managers that are used to tracking an organization’s quality metrics.
This handbook provides in-depth information and techniques to help primary care practices use electronic health records and other health IT for quality improvement efforts. The handbook covers the following topics: clinical decision support, patient portals and other technologies, using patient-generated data, clinical quality measures, and risk stratification in primary care. The handbook also features helpful tips, examples, and use cases to support the use of health IT for QI efforts.
In this podcast Dr. Jim Campbell, MD, who leads the Ohio Cardiovascular and Diabetes Health Collaborative, discusses the importance of involving patients in quality improvement projects. The podcast covers how practices can get started, ways to approach patients to participate, and strategies to keep them engaged.
In this podcast, Drs. Caron and Bolen discuss outreach approaches for patients with cardiovascular care gaps.
This short article describes four coping stages that organizations go through when metrics show poor performance: denial of the data accuracy, denial there is a problem, deny accountability for the problem, and acceptance of responsibility.
Primary care practice staff can fill out this one-page checklist before a patient visit to highlight essential information about that patient’s ABCS status and flag upcoming care needs in the electronic health record (EHRs).
This case study of a primary care practice provides insight into the clinic’s quality improvement project to improve blood pressure control. It highlights the steps in the quality improvement (QI) process, future measures, and lessons learned.
Not all recommendations and guidelines are equally useful. This resource provides a list of trusted sources of clinical evidence that primary care practices can use when scanning for new evidence to implement.