Evidence-Based Decision Making - National Physical Therapy Examination NPTE

1. What is the formula for specificity of a diagnostic test?

   $\text{Specificity}=\frac{TN}{TN+FP}$. This formula determines the test's accuracy in identifying individuals without the condition.

2. What is the definition of evidence-based practice (EBP) in physical therapy?

   Integrate best evidence, clinical expertise, and patient values. EBP synthesizes scientific research with professional judgment and individual preferences to optimize physical therapy outcomes.

3. What study design is best for prognosis questions (predicting outcomes over time)?

   Prospective cohort study. Prospective cohorts track participants forward in time to identify factors influencing future outcomes without retrospective bias.

4. What is the definition of a clinical practice guideline (CPG)?

   Systematically developed recommendations to optimize patient care. CPGs compile high-quality evidence into actionable statements to standardize and improve clinical practices.

5. What is the definition of a clinical prediction rule (CPR)?

   Multivariable tool estimating diagnosis, prognosis, or treatment response. CPRs combine predictors into models that guide probabilistic clinical judgments for better patient management.

6. Identify the best next step when a CPG recommendation is based on low-quality evidence.

   Treat as a weak recommendation; individualize using context and values. Low-evidence recommendations allow flexibility to adapt to patient-specific factors and clinical judgment.

7. Which CPR phase confirms generalizability by testing in new samples and settings?

   Validation. Validation assesses the CPR's reproducibility and applicability beyond the original derivation cohort.

8. What is the formula for relative risk (RR) using event rates $EER$ and $CER$?

   $RR=\frac{EER}{CER}$. RR assesses proportional risk differences to evaluate intervention effects relative to control.

9. What is the correct hierarchy of evidence from strongest to weakest for intervention questions?

   SR/MA of RCTs > RCT > cohort > case-control > case series/expert. This hierarchy ranks study designs by methodological rigor to ensure reliable evidence for therapeutic interventions.

10. What is the formula for absolute risk reduction (ARR) given event rates $CER$ and $EER$?

    $ARR=CER-EER$. ARR measures the intervention's absolute effect by subtracting event rates between groups.

11. What study design is best for diagnostic test accuracy (index test vs reference standard)?

    Cross-sectional diagnostic accuracy study. Cross-sectional designs efficiently assess test performance by comparing results to a gold standard at one point in time.

12. What is the formula for negative likelihood ratio ($LR^-$)?

    $LR^-=\frac{1-\text{Sensitivity}}{\text{Specificity}}$. LR- quantifies the decrease in disease likelihood following a negative test result.

13. What is the definition of reliability in measurement (test-retest or interrater)?

    Consistency of a measure across time or raters. Reliability ensures measurements yield stable and reproducible results under consistent conditions.

14. What is the practical meaning of a high $LR^+$ (for example, $>10$)?

    A positive test helps rule in the condition. High LR+ values shift post-test odds substantially, aiding in confirming the diagnosis effectively.

15. Identify the correct interpretation when $RR=0.7$ for an adverse outcome with treatment.

    Treatment reduces risk to 70% of control (30% relative risk reduction). RR below 1 indicates risk reduction, with 0.7 showing a proportional decrease from the control rate.

16. Which CPR phase tests whether using the rule improves outcomes or efficiency?

    Impact analysis. Impact analysis examines the CPR's effects on clinical efficiency, costs, and patient results in practice.

17. What study design is best for determining the efficacy of an intervention?

    Randomized controlled trial (RCT). RCTs use randomization and controls to minimize bias and establish causal relationships in treatment efficacy.

18. What is the practical meaning of a low $LR^-$ (for example, $<0.1$)?

    A negative test helps rule out the condition. Low LR- values shift post-test odds substantially, aiding in excluding the diagnosis effectively.

19. Choose the correct interpretation when $NNT=5$ for an intervention outcome.

    Treat 5 patients to prevent 1 additional adverse outcome. This NNT value reflects the number required to intervene for one prevented adverse event.

20. Which option best applies evidence when patient values conflict with a guideline recommendation?

    Use shared decision-making and document rationale for deviation. Prioritizing patient values through collaboration ensures ethical, personalized care when evidence conflicts.

21. What is the formula for number needed to treat (NNT) from absolute risk reduction (ARR)?

    $NNT=\frac{1}{ARR}$. NNT derives from ARR to indicate treatment efficiency for achieving one extra positive outcome.

22. What is the formula for sensitivity of a diagnostic test?

    $\text{Sensitivity}=\frac{TP}{TP+FN}$. This formula calculates the test's ability to correctly identify individuals with the condition.

23. What is the formula for positive likelihood ratio ($LR^+$)?

    $LR^+=\frac{\text{Sensitivity}}{1-\text{Specificity}}$. LR+ quantifies the increase in disease likelihood following a positive test result.

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