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Quizzes > Quizzes for Business > Healthcare

Try the Evidence-Based Practice Knowledge Quiz

Assess Your Evidence-Based Practice Skills Today

Difficulty: Moderate
Questions: 20
Learning OutcomesStudy Material
Colorful paper art promoting a quiz on Evidence-Based Practice Knowledge

Sharpen your evidence-based practice expertise with this dynamic Evidence-Based Practice Knowledge Quiz, designed for students and clinical professionals. With 15 multiple-choice questions, participants can evaluate research methods, apply EBP principles, and strengthen decision-making confidence. Check out similar resources like the Competency Assessment Evidence Rules Quiz or the Exam Practice Quiz for deeper insights. Every question is editable in our intuitive editor, so you can tailor content to specific learning objectives. Explore more quizzes and elevate your evidence-based practice today!

What is the first step in the Evidence-Based Practice process?
Implement the intervention
Formulate a clear clinical question
Search for relevant evidence
Appraise the evidence
The first step is to formulate a clear clinical question, often using PICO, which guides the subsequent search and appraisal of evidence.
PICO in clinical research stands for which elements?
Patient, Intervention, Comparison, Outcome
Patient, Intervention, Correlation, Outcome
Population, Intervention, Control, Outcome
Problem, Indicator, Comparison, Outcome
PICO stands for Patient (or Population), Intervention, Comparison, and Outcome, which structures a clinical question for evidence searching.
Which database is considered a primary source for biomedical literature?
Cochrane Library
PubMed
WebMD
Wikipedia
PubMed provides access to a vast collection of primary biomedical research articles indexed in MEDLINE, making it a primary source database.
Selection bias in a study occurs when:
Participants drop out during follow-up
Participants are allocated non-randomly affecting representativeness
Participants recall past exposures incorrectly
Researchers subconsciously influence outcomes
Selection bias arises when the method of choosing participants leads to a non-representative sample, affecting the study's validity.
A p-value less than 0.05 typically indicates that you should:
Accept the alternative hypothesis as certain
Conclude the result is clinically important
Believe there is a 5% chance your study is valid
Reject the null hypothesis
A p-value under 0.05 means the probability of observing the data under the null hypothesis is very low, so we reject the null hypothesis at the 5% significance level.
Which study design follows participants over time from exposure to outcome?
Cross-sectional study
Randomized controlled trial
Case-control study
Cohort study
Cohort studies enroll groups based on exposure and track them prospectively to measure incidence of outcomes over time.
In a case-control study, which measure of association is most commonly calculated?
Incidence rate
Odds ratio
Risk ratio
Hazard ratio
Case-control studies use odds ratios to estimate the association between exposure and outcome because incidence cannot be directly measured.
Which level of evidence is considered highest in the traditional evidence hierarchy?
Systematic review of RCTs
Expert opinion
Randomized controlled trial
Case series
Systematic reviews of randomized controlled trials synthesize results from multiple high-quality studies, placing them at the top of the evidence hierarchy.
Assessing whether study findings apply to your patient population refers to:
Precision
Reliability
Internal validity
External validity
External validity, or generalizability, evaluates if the study results can be applied to other settings or patient groups.
A 95% confidence interval for a mean difference that does not cross zero implies:
The result is statistically significant
The study has high power
There is no variability in data
The result is clinically important
If the confidence interval excludes the null value (zero), it indicates the result is statistically significant at the 5% level.
After appraising the evidence in the EBP process, the next step is to:
Publish the findings
Apply the evidence in practice
Formulate a new question
Search for more studies
Once evidence has been critically appraised, the next step is to implement the findings into clinical decision-making and patient care.
Publication bias refers to:
Loss of participants during follow-up
Inclusion of participants based on outcome
Studies with positive or significant findings are more likely to be published
Selective reporting of outcomes within a study
Publication bias occurs when studies reporting significant or positive results have higher publication likelihood than those with negative or null findings.
Which resource is most appropriate for locating systematic reviews in healthcare?
Cochrane Library
Embase
Medline
CINAHL
The Cochrane Library specializes in high-quality systematic reviews of healthcare interventions, making it the premier resource for this evidence type.
A cross-sectional study design is best suited for estimating:
Prevalence of disease
Risk ratio
Survival time
Incidence of disease
Cross-sectional studies measure exposure and outcome at a single time point, which allows for estimation of disease prevalence rather than incidence.
A hazard ratio of 1.5 in a survival analysis indicates:
No difference in hazard between groups
1.5% increase in survival time
Treatment delays event by 1.5 times
50% increased hazard of the event in the treatment group compared to control
A hazard ratio above 1 means a higher hazard rate; 1.5 specifically indicates a 50% increase in hazard for the treatment group versus control.
In a forest plot, if the pooled estimate diamond does not cross the line of no effect, it indicates:
No heterogeneity among studies
Presence of publication bias
A small combined sample size
A statistically significant overall effect
When the diamond does not include the null value, it shows the pooled effect is statistically significant at the chosen confidence level.
Blinding participants and investigators in a trial primarily reduces which type of bias?
Attrition bias
Selection bias
Performance bias
Reporting bias
Blinding prevents participants and caregivers from altering behavior based on group assignment, thereby minimizing performance bias.
A diagnostic test has sensitivity 90% and specificity 80%. This means:
It misses 20% of diseased cases
The positive predictive value is 90%
It correctly identifies 90% of diseased and 80% of non-diseased individuals
It has a 10% false positive rate only
Sensitivity is the true positive rate among diseased individuals; specificity is the true negative rate among healthy individuals.
According to the GRADE system, observational studies start with what initial quality rating?
Moderate quality
Low quality
High quality
Very low quality
Under GRADE, evidence from observational studies is initially rated as low quality but can be upgraded if certain criteria are met.
In multivariate logistic regression controlling for confounders, an adjusted odds ratio of 0.75 indicates:
25% reduced odds of the outcome after adjustment
Confounding is absent
75% increased odds of the outcome
No association between exposure and outcome
An adjusted OR below 1 indicates reduced odds of the outcome after controlling for other variables; 0.75 corresponds to a 25% reduction.
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Learning Outcomes

  1. Analyse research evidence to inform clinical decisions
  2. Evaluate study designs and methodological quality
  3. Apply EBP steps to real-world case scenarios
  4. Identify valid sources for evidence retrieval
  5. Demonstrate understanding of bias and validity concepts
  6. Master interpretation of statistical outcomes

Cheat Sheet

  1. Understand the PICO Framework - Crafting clear clinical questions becomes a breeze when you break it down into Patient/Population, Intervention, Comparison, and Outcome. This roadmap guides your literature hunt so you zero in on the most relevant studies without drowning in data. Think of PICO as your search GPS - no more wandering through endless abstracts! Evidence-Based Practice Guide - Stephens College Library
  2. Recognize the Hierarchy of Evidence - Not all studies are created equal, so it helps to know which ones pack the biggest punch. Systematic reviews and meta-analyses sit at the top, followed by randomized controlled trials, cohort studies, and case-control studies. Use this pyramid to judge reliability and ensure your conclusions stand on solid ground. Hierarchy of Evidence
  3. Calculate ARR and NNT - Absolute Risk Reduction (ARR) tells you how much an intervention cuts risk in real numbers, and the Number Needed to Treat (NNT) shows how many patients must receive the treatment for one to benefit. For instance, a 10% ARR means an NNT of 10 - treat ten people to help one. These metrics turn abstract percentages into real-world impact! Statistical Formulas - Monash Health
  4. Grasp Sensitivity and Specificity - Sensitivity measures a test's skill at catching true positives, while specificity shows how well it avoids false alarms. High sensitivity plus high specificity equals a diagnostic superstar that rarely misses or falsely flags conditions. Master these to pick the right tests and interpret results like a detective. Biostatistics - Evidence-Based Practice - MUSC
  5. Explore the ACE STAR Model - This five-stage framework (knowledge discovery, evidence summary, translation, integration, evaluation) transforms raw research into everyday practice. It's like a recipe that turns scientific ingredients into practical care guidelines. Following ACE STAR ensures you don't just find evidence - you put it to work. ACE STAR Model of Knowledge Transformation
  6. Master Confidence Intervals - A confidence interval gives you a range where the true effect likely lives, adding depth to a single estimate. Narrow intervals mean precision; wide ones hint at uncertainty. Learn this tool to judge how much trust you can place in study outcomes. Calculate Results - Evidence-Based Practice - UTMB
  7. Use Clinical Practice Guidelines - These systematically developed statements support decision-making for specific health scenarios, blending evidence with expert insight. They act like cheat-sheets that steer you toward best practices while you focus on patient care. Stay current with guidelines to deliver consistent, high-quality treatments. Evidence-Based Practice Guide - Stephens College Library
  8. Assess Methodological Quality - A study's design, sample size, blinding, and randomization reveal its trustworthiness. Scrutinize these elements to decide if findings are valid and applicable. Becoming a quality detective helps you spot robust research and avoid shaky conclusions. Evidence-Based Practice Concept - AACN
  9. Understand Research Bias - Bias refers to systematic errors that skew study results - think selection bias, measurement bias, and more. Recognizing and minimizing these pitfalls through solid design and execution ensures your evidence is as fair and accurate as possible. Hierarchy of Evidence
  10. Interpret P-Values and Effect Sizes - A p-value tells you whether observed findings could be random flukes, while effect size reveals how big or meaningful those findings are. Combining both numbers helps you separate statistical significance from clinical importance. It's like knowing both "Did it work?" and "How much did it work?" Statistical Formulas - Monash Health
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