
- 230 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
This concise guide equips readers with the essential skills required to analyze and critically appraise health research evidence, an integral element to evidence-based practice and professional development.
The book offers invaluable guidance by demystifying the structure and language of peer-reviewed research through different stages of reading—inspectional, analytical, and topical—to provide a structured approach to understanding and evaluating research design, methods, and findings. Through analytically reading each section of a research paper, readers can develop a critical appreciation of the evidence, helping them to identify both the strengths and limitations of any piece of research. This critical reading process is a crucial skill, fostering the ability to judiciously apply evidence to health practice, and encouraging a deep engagement with research to better inform health decisions.
Ideal reading for students across all health disciplines, whether undergraduate or postgraduate, it will also be a valuable resource for health professionals seeking to enhance their skills in evidence-based practice and continuing professional development. Instructors can also access a range of online resources to support classroom use.
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Information
Table of contents
- Cover
- Endorsement Page
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- List of Tables
- List of Boxes
- Acknowledgments
- Preface
- 1 Introduction: Reading health science
- Part 1 Searching and inspecting articles
- Part 2 Analytically reading primary studies
- Part 3 Understanding Review Studies and Practice Guidelines
- Part 4 Topical Reading, Evidence-Based Practice (EBP), and Professional Growth
- Appendix A: Elementary reading and fundamental terms
- Appendix B: Potential sources of bias
- Appendix C: Measures of central tendency and dispersion
- Appendix D: Confidence intervals and statistical significance
- Appendix E: Tests of statistical significance – Chi-Squares, t-tests, and ANOVAs
- Appendix F: Strength of association
- Index