EBP Flashcards
Level I
Levels of Evidence
- systematic reviews, meta-analyses and randomized controlled trails
- High-quality, prospective study
- Group 1: controlled; group 2: treatment
- Values obtained from many studies with multiway sensitivity analyses
Level II
Level of Evidence
- Less quality RCT; prospective comparative study; retrospective study
- Two-group, nonrandomized studies; pretest-posttest design
- Untreated controls from an RCT
- Values obtained from limited studies with multiway sensitivity analyses
- Systematic review of Level II studies or Level I studies with inconsistent results
Level III
Level of Evidence
- Case control study; retrospective comparative (Cohort) study
- One-group, nonrandomized studies; pretest-posttest designs
- Study of nonconsective patients without consistenly applied ref. “gold standard”
- Analyses based on limited alternatives and cost and poor estimation
- Systematic review of Level III studies
Level IV
Level of Evidence
- Case series; case control study
- Descriptive studies that analyze outcomes (single-subject and case designs)
- Poor reference standard
- Analyses with no sensitivity analyses
Level V
Level of Evidence
- Case report
- Expert opinion
- Personal observation
T/F: Level I or II evidence within a literature review are the only level of evidence that address and justify the efficacy of the intervention.
True
Nagelkerke R Square
Effect Sizes
- Explains how the variance in the dependent variable can be explained by the independent variables
- how well the regression model explains the observed data
Example: an R-squared of 60% reveals that 60% of the variability observed in the target variable is explained by the regression model
Closer to 1 means the data perfectly fits the linear model.
Numbers Needed to Treat
Effect Sizes
- The number of patients who would need to receive treatment to produce a positive outcome in one patient who otherwise would have had a negative outcome
- Focuses on intervention
Assesses 2 things:
1. potential utility of a particupar diagnosis test
2. how likely it is that a patient has a disease or condition
A ratio of the probability that a test result is correct to the probability that the test result is incorrect
LR=1 means test has very little influence on the fact that the patient does or does not have the disease
Test is useless.
Pre-test vs Post-test
Or comparing two competing point hypotheses (null and alternate hypotheses)
Likelihood Ratio
Effect Sizes
- The likelihood that a specific test result would be seen in a person with the target disorder
- Focuses on diagnosis
Cohen’s d
Effect Sizes
- Measures the magnitude of the difference between two means (comparing two groups) in standard deviation units
- Focuses on intervention
- 0.2=small effect; 0.5=moderate effect; 0.8=large effect
- Difference between two Sample SD is used to estimate the population SD results interpret the effect
- Small effect size are too small to differentiate by the naked eye (ex. difference in height in 15 and 16 y.o girls)
- Medium effect size are just large enough to be seen by the naked eye (ex. diff height between 14 and 18 y.o. girls)
- Large effect size are obvious; difference between groups. (observed height between 13 and 18 y.o girls)
https://www.youtube.com/watch?v=IetVSlrndpI
An OTR is reading a research study to determine the benefits of a new device that claims to improve task performance by delivering electrical stimulation to a hemiparetic hand. The OTR uses a different device at the clinc and wants to determin if the new device will be worth the investment. The OTR would like to know how many clients should use the new device for one of them to benefit from the device. Which statistic reported in the result section is the BEST indicator of this information?
A] Negelkerke R Square
B] Number needed to treat
C] Likelihood ratio
D] Cohen’s d
B] Numbers needed to treat
1. NNT is a form of affect size in intervention studies
2. Indicates number of pt. that would need to rec. treatment for 1 patient to have a postive outcome
3. Effect size indicates magnitude of the difference btwn two methods
Nagelkerk R Square
1. Explains how the variance in the dependent variable can be explained by the independent variables
Likelihood Ratio [diagnosis]
1. A specific test result would be seen in a person with the target disorder
Cohen’s d [intervention]
1. Measures magnitude of difference btwn two means in standard deviation units
Criterion-Referenced
Standardized Assessment
- Standardized assessment
- Client is graded in terms of some behavioral standard
- Identify performance on a specific task
Norm-Referenced
Standardized Assessment
- Standardized assessment
- Client is compared to a group of other people who have taken the same measure
- Utilized as an outcome measure
Descriptive Research
Types of evidence
- observing and measuring without manipulating variables.
- It can identify characteristics, trends and correlations.
Qualitative Research
- a process of naturalistic inquiry that seeks an in-depth understanding of social phenomena within their natural setting.
- It focuses on the “why” rather than the “what” of social phenomena and relies on the direct experiences of human beings as meaning-making agents in their every day lives.