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Interpreting Risk and Impact Measures in Nursing Research: Implications for Evidence-based Practice
1RN, MSc. Clinical Epidemiology, DrPH. Institute of Nursing, Faculty of Medicine, Universidad Austral de Chile. rbarria@uach.cl.
Investigacion Y Educacion En Enfermeria
|April 14, 2026
Summary
Understanding risk and impact measures like relative risk and risk difference is crucial for evidence-based nursing. Proper interpretation enhances clinical decision-making and patient care.
Area of Science:
- Nursing Research
- Biostatistics
- Clinical Epidemiology
Background:
- Effective evidence-based practice in nursing requires critical appraisal of research findings.
- Risk and impact measures are fundamental to understanding study results and their clinical applicability.
Purpose of the Study:
- To analyze the conceptual basis, calculation, and interpretation of key risk and impact measures in nursing research.
- To emphasize the relevance of these statistical measures for evidence-based clinical practice.
Main Methods:
- Review of common risk/association measures: relative risk, odds ratio, hazard ratio.
- Review of absolute impact measures: risk difference, risk reduction, numbers needed to treat/harm.
- Illustrative examples from nursing studies with step-by-step calculations and interpretations.
Main Results:
- Relative and absolute measures provide complementary insights into intervention effects.
- Accurate calculation and interpretation are vital for assessing clinical relevance.
- Examples demonstrate practical application in nursing contexts.
Conclusions:
- Integrated understanding of risk and impact measures is essential for critical appraisal.
- Combined use of measures supports informed, safe, and context-sensitive nursing care.
- Reinforces the foundation of evidence-based nursing practice.
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