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The key resource for students studying to become athletic trainers.
Evidence-based practice (EBP) means that all clinical decisions are based on available research studies, and these studies are selected and assessed according to specific criteria that yield evidence of benefit. Evidence-Based Practice in Athletic Training, Second Edition With HKPropel Access, introduces students and practitioners to the basics of EBP and the research design methods that are vital to its implementation.
A resource for students studying athletic training and practitioners, the text is split into three basic parts::
The updated second edition has an expanded depth of content appropriate for masters level education and includes a new chapter discussing types of artificial intelligence and its use in the field of athletic training. Also included are new case examples that lead readers step by step through the research process, offering the chance for further comprehension and practice. Related online content includes additional case studies and links to research resources.
The most beneficial resource of its kind, this text encourages students and current certified athletic trainers to ask meaningful questions, gain the knowledge they need for excelling in future practice, and rise to the top of their profession.
Evidence-Based Practice in Athletic Training will help current and future athletic trainers provide the most appropriate and effective care for their athletes and clients.
Note:: A code for accessing HKPropel is included with all print books.
Opis
Part I. Introduction
Chapter 1. Evidence-Based Practice Models
Definitions of Evidence-Based Practice
Five Steps of Evidence-Based Practice
Levels of Evidence
Purpose of Evidence-Based Practice in Clinical Athletic Training
Summary
Chapter 2. Steps in Evidence-Based Practice Research
Step 1: Create a Clinically Relevant and Searchable Question Concerning Your Patient
Step 2: Conduct a Database Search to Find the Best Evidence
Step 3: Critically Appraise the Articles or Evidence for Quality
Step 4: Critically Synthesize the Evidence to Choose and Implement a Treatment
Step 5: Assess the Outcomes by Monitoring the Patient
Search Troubleshooting Tips
Summary
Chapter 3. Research Evaluation
Reliability
Validity
Prevalence Independent Test
Summary
Chapter 4. Evidence-Based Practice in Daily Clinical Practice
Your Practice Based on Evidence
Your Practice Based on Your Clinical Experience
Your Practice Based on Athlete Preferences and Values
Clinical Practice Guidelines
Practice Altruism
Summary
Part II. Critical Appraisal of Evidence-Based Practice
Chapter 5. Appraising Diagnostic Research
Measurement
Types of Study Used in Diagnostic Research
Methods of Appraising Diagnostic Research
Summary
Chapter 6. Prognostic Research
Prognostic Designs
Prognostic Statistics
Appraisal Questions
Summary
Chapter 7. Systematic Reviews and Meta-Analyses
Review of the Evidence Pyramid
Definitions of and Differences Among Filtered Resources
Strengths, Weaknesses, and Processes of Critically Appraised Topics
Strengths, Weaknesses, and Processes of Systematic Reviews
Strengths, Weaknesses, and Processes of Meta-Analyses
How to Find Critically Appraised Topics, Systemic Reviews, and Meta-Analyses
Practice EBP Searches
Summary
Chapter 8. Overview of Outcome Measures
Types of Outcome Measures
Psychometric Properties of Outcome Measures
Communicating Outcomes
Assessing Your Practice
Adjusting Your Practice
Summary
Part III. Research Statistics and Design
Chapter 9. Quantitative Research
Types of Quantitative Data
Quantitative Research Designs
Descriptive Statistics
Common Inferential Statistics
Statistical Power
Summary
Chapter 10. Qualitative Studies
Types of Qualitative Research Studies
Gathering Data
Analyzing Data
Assessing Trustworthiness
Critical Appraisal of Qualitative Research Studies
Qualitative Research and Athletic Training
Summary
Chapter 11. Research Ethics
Ethical Roadblocks
Trustworthiness and Conflicts
Violations Persist
Summary
Chapter 12. Harness Artificial Intelligence in Athletic Training
Types of Artificial Intelligence
Legality of Artificial Intelligence in Health Care
Artificial Intelligence Benefits to Athletic Training
Challenges of Artificial Intelligence in Athletic Training
Summary