In: Nursing
What is meant when assessing the strength of evidence?
Strength of evidence means that the evidence is provided by a prospective, randomized controlled trial with masked outcome assessment, in a representative population.
It is mainly assessed to know whether the research will do more good than harm to the client.
Assessing the strength of evidence is vital for the following purposes;
The quality of evidence across studies for each important outcome
Which outcomes are critical to a decision
The overall quality of evidence across these critical outcomes
The balance between benefits and harms
The strength of recommendations.
When assessing the Strength of evidence the following are noted;
Strength-of-Recommendation Taxonomy (SORT)
Code | Definition |
---|---|
A | Consistent, good-quality patient-oriented evidence * |
B | Inconsistent or limited-quality patient-oriented evidence * |
C | Consensus, disease-oriented evidence *, usual practice, expert opinion, or case series for studies of diagnosis, treatment, prevention, or screening |
* Patient-oriented evidence measures outcomes that matter to patients: morbidity, mortality, symptom improvement, cost reduction, and quality of life. Disease-oriented evidence measures immediate, physiologic, or surrogate end points that may or may not reflect improvements in patient outcomes (e.g. blood pressure, blood chemistry, physiologic function, pathologic findings).
Types of research designs:
An evidence pyramid is a visual representation study designs organized by strength of evidence. Study designs and publications shown at the top of the pyramid are considered thought to have a higher level of evidence than designs or publication types in the lower levels of the pyramid.
Strength of evidence is based on research design. The most scientific, rigorous study designs are randomized controlled trials, systematic reviews, and meta-analysis. These types of studies are thought to provide stronger levels of evidence because they reduce, but do not eliminate, potential biases and confounders. Bias is " systematic error, or deviation from the truth, in results or inferences.
Confounding factors have "an effect on the dependent variable (and hence the outcome) that cannot be distinguished from the effect of the independent variable. This may lead to erroneous conclusions being drawn from the results of the experiment."
The quality of evidence indicates the extent to which one can be confident that an estimate of effect is correct. The strength of a recommendation indicates the extent to which one can be confident that adherence to the recommendation will do more good than harm.
Evidence-based practice involves tracking down the available evidence, assessing its validity, and then using the "best" evidence to inform decisions regarding care. Rules of evidence have been established to grade evidence according to its strength. Systematic reviews and RCTs represent the highest levels of evidence, whereas case reports and expert opinion are the lowest. This "ladder of evidence" was developed to a large extent for questions related to interventions or therapy.