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
41 to 50 of 71 Tools and Resources DisplayedThis 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.
The checklist is designed to be used in conjunction with the One Heart brochure to help patients focus their office visit on addressing risk factors for heart disease and the illustrated brochure explains how plaque buildup can silently lead to heart disease and suggests questions patients can ask and actions they can take to understand and reduce their risk of heart disease.
This summary by the Canadian Health Services Research Foundation highlights the strong impact opinion leaders have on how much research evidence health care professionals use in clinical practice.
Standing orders allow patient care to be shared among non-clinician members of the care team. This overview explains how standing orders empower both clinical and non-clinical staff and provides examples of standing orders.
This resource is an example of a policies and procedures statement for a Patient and Family Advisory Council (PFAC) for primary care practices and outpatient clinics.
A video story of Willie Morgan, a patient, who talks about the importance of working closely with his pharmacist to manage his chronic conditions. The Tennessee Heart Health Network disseminates patient stories in their newsletters to healthcare professionals and shares them with their Patient Advisory Councils to support patient engagement in quality improvement.
This resource provides clinicians with useful tools to: (1) assess the current physical activity levels of their patients; (2) emphasize with patients the value of long-term exercise and activity for improved health; (3) help patients find activity options that are safe, sustainable, and as enjoyable as possible; and (4) summarize exercise recommendations for heart health and maintaining weight loss.
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.
This practical guide shows practices how to start forming partnerships with patients and family advisors (PFAs) to improve primary care. It provides practice assessment, progress tracking, and PFA recruitment and selection tools.
This one-page job description outlines the responsibilities of a Registry Coordinator. These duties include engaging primary care practice members in registry activities and overseeing data entry, validation, and use.