Chapter 4 Evidence-Based Patient Care Flashcards
Mean difference or weighted mean difference
Used to compare cases and controls when units of measurements are identical between studies
Standard mean difference
Used to compare cases and controls where differences are normalized with respect to pooled standard deviation of the two groups
Can be used to compare different measurements
Selection bias
-Type of bias in study design
-certain patients are preferentially enrolled into the study and may not represent population at large
Channeling bias
-Type of bias in study design
-patients are steered into study arms by organizers based on preconceived notions
-mitigated by blinded randomization
Interviewer bias
-Type of bias in study design
-investigators asks different questions of the patients, knowing which study arm they are in
-mitigated by double-blind design
Hawthorne effect
-Type of bias in study design
-Subject may behave differently because he knows he is being observed
-mitigated by double-blind design
Chronology bias
-Type of bias in study design
-study patients are compared to historical controls at a time when standard of care may have been different
-mitigated by prospective design
Recall bias
-Type of bias in study design
-subjects may not remember their symptoms or exposures correctly
-mitigated by using objective data sources
Transfer bias
-Type of bias in study design
-certain types of patients are more likely to be lost to follow-up
-also known as attrition bias
-mitigated by careful plan to follow-up with patients
Performance bias
in cases where the intervention involves a procedure, possible for different operators to perform the procedure differently
Publication bias
-Type of bias in study design
-journals tend to report positive findings more readily than negative findings
p-value
Probability that the results found in the study could be a result of pure chance
Odds ratio
used in case-control studies when prevalence is not known
Grading of Recommendations Assessment, Development and Evaluation (GRADE)
-Code A (high quality, further research is unlikely to change our confidence in the estimate of effect), Code B (moderate quality, further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate), Code C (low, further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate), Code D (very low (any estimate of effect is very uncertain
-Assess studies by: study design, study quality (bias, flaws), consistency (subgroup analysis), directness (population differences, use of surrogate markers, no direct comparison), strength of association, evidence of dose response gradient, when reasonable confounding would have pushed effect in one direction
Evidence-based Practice Center (EPC) approach
-Supported by Agency for Healthcare Quality and Research (AHRQ)
-Similar to GRADE
-Assesses domains of: risk of bias, consistency, directness, precision