Drug information and literature evaluation /
A concise guide to medical literature evaluation and the provision of medication and health information.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London and Chicago :
Pharmaceutical Press,
2013.
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Colección: | Remington education.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Evidence-based approach to addressing information needs
- Introduction
- seven-step systematic approach
- Summary
- 2. Tertiary resources
- Introduction
- General drug information resources
- Information-specific resources
- Summary
- 3. Secondary resources
- Introduction
- Searching secondary resources
- Commonly used secondary resources
- Summary
- 4. Internet resources
- Introduction
- Evaluating the quality of internet-based medication and health information
- Internet resources
- Useful internet sites for clinicians
- Summary
- 5. Evaluating clinical studies
- step 1: what type of study is it?
- Introduction
- Experimental studies
- Observational studies
- Summary
- 6. Evaluating clinical studies
- step 2: the journal, authors, and study purpose
- Introduction
- Journal and investigator considerations
- Potential conflicts of interest
- Study objectives and hypotheses
- Summary
- 7. Evaluating clinical studies
- step 3: methods used
- Introduction
- Eligibility (inclusion and exclusion) criteria
- Sampling (enrollment) considerations
- Informed consent
- Sample size
- Controlled experimental designs
- Assignment to interventions
- Blinding
- Treatment considerations
- Outcomes and variables
- Measurements
- Summary
- 8. Evaluating clinical studies
- step 4: statistical analyses
- Introduction
- One-tailed versus two-tailed tests
- Categories of statistical tests
- Parametric statistical tests
- Nonparametric statistical tests
- Correlation
- Regression
- Summary
- 9. Evaluating clinical studies
- step 5: results, interpretation, and conclusions
- Introduction
- Measures of central tendency
- Measures of variability (spread or dispersion)
- Statistical inference
- Confidence interval
- Hypothesis testing
- P values
- Type I error
- Type II error
- Statistical significance versus clinical significance (importance)
- Measures of risk, risk reduction, and clinical utility
- Drop-outs and data handling
- Discussion section
- Summary
- 10. Evaluating clinical studies
- step 6: putting it all together
- Introduction
- Key questions and considerations when critiquing published experimental studies
- 11. Equivalence and noninferiority studies
- Overview
- Equivalence study
- Noninferiority study
- Summary
- 12. Practice guidelines, systematic reviews, and meta-analyses
- Introduction
- Systematic reviews
- Meta-analyses
- Practice guidelines
- Summary.