Evidence-Based Practice (EBP) Foundations

<p>The magnitude of the difference between two groups or treatments. (D)</p> Signup and view all the answers

<p>The difference between the groups is likely to be clinically meaningful. (C)</p> Signup and view all the answers

<p>To determine how many patients need to be treated for one patient to benefit from the treatment. (C)</p> Signup and view all the answers

<p>Lack of time constraints for clinicians. (C)</p> Signup and view all the answers

<p>The therapist and patient work together to make decisions about treatment based on the best available evidence. (C)</p> Signup and view all the answers

<p>To ensure the best available evidence informs patient care. (D)</p> Signup and view all the answers

<p>Knowledge gained from cumulative years of patient care. (D)</p> Signup and view all the answers

<p>Search for the best possible research evidence. (B)</p> Signup and view all the answers

<p>Descriptive questions. (B)</p> Signup and view all the answers

<p>It allows for personalization of treatment based on individual values. (D)</p> Signup and view all the answers

<p>Cost-effectiveness analysis. (B)</p> Signup and view all the answers

<p>A longitudinal study design. (D)</p> Signup and view all the answers

<p>Evaluating the impact of evidence-based changes. (D)</p> Signup and view all the answers

<p>Prediction is about future expectations, while causation determines cause-and-effect. (B)</p> Signup and view all the answers

<p>Randomized controlled trial (A)</p> Signup and view all the answers

<p>To reduce the risk of bias by evenly distributing confounding variables. (B)</p> Signup and view all the answers

<p>The study can provide high clinical utility. (B)</p> Signup and view all the answers

<p>Blood pressure as a predictor of heart disease. (A)</p> Signup and view all the answers

<p>Type I Error (D)</p> Signup and view all the answers

<p>The method of keeping certain information hidden from researchers and participants. (A)</p> Signup and view all the answers

<p>Median (D)</p> Signup and view all the answers

<p>The threshold for statistical significance, usually set at 0.05. (C)</p> Signup and view all the answers

<p>To apply a placebo effect while controlling for psychological impacts. (C)</p> Signup and view all the answers

<p>P-value (B)</p> Signup and view all the answers

<p>They may bias the study outcomes based on funding sources. (C)</p> Signup and view all the answers

<p>Intra-rater reliability (B)</p> Signup and view all the answers

Integration of research evidence, clinical expertise, and patient values in care.

To inform patient care with the best evidence and optimize therapy benefits.

Scientific research, clinical expertise, and patient values/circumstances.

Empirical evidence gained from systematic hypothesis testing, including clinical and non-clinical studies.

Knowledge gained from years of patient care and refining therapy practices.

Beliefs, preferences, and cultural identifications relevant to therapy.

1. Identify the question; 2. Search evidence; 3. Appraise evidence; 4. Integrate; 5. Evaluate.

Aim to describe a situation using quantitative data for an overview.

Seek to understand future events through current information and studies.

Research aiming to identify treatment targets and risk factors, or estimate outcomes from treatments.

Research methods to summarize and characterize data without manipulating variables.

Methods that anticipate future conditions based on current data.

Assigning participants to groups randomly to reduce bias in research results.

Keeping participants or researchers unaware of group assignments to minimize bias.

A control group given a placebo to test psychological effects of treatments.

The probability that the observed effect is due to chance; less than 0.05 is statistically significant.

A range of values that likely contains the true population mean; a narrow CI indicates more precise estimates.

Incorrectly rejecting the null hypothesis, concluding there is a difference when none exists.

Failing to reject the null hypothesis, concluding no difference when one exists.

Consistency of measurements made by the same observer across multiple trials.

Consistency of measurements made by different observers.

A measurement scale using categories without a defined order.

A categorical measurement scale where data can be ranked, but distances aren't uniform.

A method to determine if there is enough evidence to reject the null hypothesis in a study.

Assesses the variability of the standard deviation against probabilities of variation.

Compares observed frequency with expected frequency for nominal data.

Statistical test to compare the means of two groups.

Measures the magnitude of the difference between treatments.

The number of patients needed to treat for one to benefit.

Analyzes data as if all participants remained in their assigned groups.

A choice made through collaboration between therapist and patient based on evidence.

Four-part process for evaluating research studies effectiveness.