Research, Evidence-Based Practice, and Quality Improvement
What the exam expects
You must apply the evidence-based practice triad: best available evidence, clinical expertise, and patient/family values. Know levels of evidence (systematic reviews and RCTs at the top; case reports and expert opinion lower), and be able to appraise a study for validity, reliability, and applicability.
Key concepts
Understand study designs (RCT, cohort, case-control, cross-sectional, single-subject), bias and confounding, and basic statistics: sensitivity, specificity, positive/negative predictive values, number needed to treat, p-values, and confidence intervals. Know how to interpret effect sizes and whether a result is clinically meaningful, not just statistically significant. Understand quality improvement frameworks (PDSA cycles), outcome measurement, and how to use data to change practice.
Traps
Questions test the difference between statistical and clinical significance, and whether a measure's predictive value depends on prevalence. Another trap: choosing the highest level of evidence regardless of whether it applies to the specific child. Watch for confusion between reliability (consistency) and validity (accuracy).
Rule of thumb: A test's positive predictive value rises as prevalence rises-context matters.
Worked example: A screening tool has high sensitivity but low specificity. In a low-prevalence setting, many positives will be false positives; use it to rule out, not to confirm, and follow with a diagnostic evaluation.