Module 5, Application of Evidence-based Principles Flashcards
What is evidence based medicine?
- we should apply the best evidence for medical research
- especially from RCT
- ““Integration of best research evidence with clinical expertise and patient values”
What is the hierachy of evidence?

What is the proposed new evidence based medicine pyramid?
- there can be other factors that can independent of the study design that can effect the qulaity of evidence that we derive from the study
- not only design of study that influences quality of study but also human factors
- the quality of a systematic review can only be as good as the individual studies quality that make up a review itself
- removed systematic review from the top and use it as a lens
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What are the 5 steps of EBM?
- Form an answerable question
- Find the best evidence
- Critically evaluate the evidence
- Individualise response, based on professional expertise and patient concern
- Evaluate your own performance
How is this relevant to pharmacy practice?
- its a competency standard for pharmacists
- This standard encompasses the functions of accessing, analysing, interpreting and synthesising medical and pharmaceutical literature to clarify an evidence-based practice response appropriate for the clinical situation. This involves the use of professional judgement and strategic decision-making and the integration of complex information and may involve the creation of a written or verbal report for one or more professional colleagues
Whats the concept of critical evaluation?
- What are the RESULTS?
- Are the results VALID?
- Are results RELIABLE?
- Are the results USEFUL?
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Critical Evaluation- What are the results?
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Dichotomous variables; only 1 or 2 options for the outcome
- Yes/ no
- Alive/ dead
- Pain/ no pain
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Continuous variables
- Age
- Hair length
- or pain if we assess in terms of a pain score
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Terminology for controlled studies
- Control group
- Treatment or Intervention group
Critical Evaluation- What are the results?
- Descriptive:
• Describe the population studied
- Age range
- Gender or ethnicity
- Cannot be generalized to any larger group
- Inferential:
- Make predictions or inferences about a population from observations and analyses of a sample
- Sample must be representative of the larger population that it represents
Critical evaluation- Are the results valid?
Were participants treated the same at the:
- Start
- During and
- End of the study?
- need to read about the study methodology; needs to be robust
What do we need to consider when thinking about the quality of research?
- Randomisation
- Concealment and blinding
- Intention to treat analysis
- Baseline risk
- Confounding
- Looking at population subsets
- Type of outcomes
- Lost to follow-up leads to low quality of study
- Placebo effect
- Other factors…
Critical evalutaion- Are the results reliable?
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CI Confidence intervals
- expresses the precision of an estimate
- measure of reliability
- shows the range within which we’re confident that the true result from a population will lie 95% of the time
- the narrower the interval; the more precise, the BETTER
- CI=1; no difference between the groups
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SD Standard deviation
- Measures how much individual scores of a given group vary from the average (mean) score of the whole group
- Measures the spread of the individual results around the average of all the results
- High standard deviation: data widely spread i.e. less reliable
- Low standard deviation: data clustered close to the mean i.e. more reliable
Critical evaluation- Are the results useful?
- Consider clinical importance & size of benefit
- Clinical importance
- Consider the outcome measured
- disease-orientated outcome (DOO) e.g. if new arthritis medicine reduces infkammaory markers
- patient-orientated outcome (POO) e.g. if trial measured improvement in pain scores or patient mobility
- Consider the outcome measured
- should see mixed POO and DOO in most trials
- Clinical importance
- Size of benefit:
- Absolute risk reduction (ARR)
- Relative risk (RR) & hazard ratio (HR)
- Relative risk reduction (RRR)
- Number needed to treat (NNT)
- Number needed to harm (NNH)
Critical evaluation- Are the results useful?
- P-VALUE
- is a measure of the strength of evidence against the null hypothesies
- p<0.05 regarded as statistically significant
- this means that there is a less than 1 in 20 chance of falsely observing a difference
- the lower the P VALUE the more confident we can be about a result; we can say we are more confident that we’re achieving a true result
- Statistical significance ≠ Clinical significance
- Small differences between groups within a study may approach statistical significance, particularly if the population sizes are large
- But, the difference may not be clinically meaningful
What is Absolute risk (AR)?
- chance an outcome will happen
- simplest measure of association
What is absolute risk reduction (ARR)?
- the risk difference
- difference in proportion of participants who had outcome in control compared with treatment group
What is relative risk (RR)?
- compares the risk in 2 different groups of people
- tells us how many times more or less likely an event will occur in the treatment group compared with comparison group
- since the RR is less than 1.0, we can say that… XXX has made the risk of an MI less likely
What is hazard ratio (HR)?
- if HR=1; relative probability of event in the 2 groups over time is the SAME
- if HR<1 or >1 it indicates that the relative probability of the event over time is greater in 1 of the 2 groups
- if CI linked with HR does not include 1; difference between groups is statistically significant
What is relative risk reduction (RRR)?
- reduction and risk of an event in teh treatment group compared to risk in the placebo group
- estimates the proportion of baseline risk that is removed by the therapy
- i.e. treatment with XXX decreases the risk of MI by 25%
What is the odds ratio (OR)?
- odds that an outcome will occur with a particular exposure, compared with the odds of the outcome occurring in the absence of that exposure
- OR=1 Exposure does not affect odds of outcome
- OR>1 Exposure associated with higher odds of outcome
- OR<1 Exposure associated with lower odds of outcome
What is the number needed to treat (NNT)?
- Number of patients that we would need to treat with intervention to produce one positive outcome
- NNTs are usually rounded up
What is the number needed to harm (NNH)?
- Number of patients that we would need to treat with intervention to produce one negative outcome
- NNHs are usually rounded down
How can I apply the results to my patient’s care?
- Were the study patients similar to my patient?
- inclusion/ exclusion criteria
• limitations
- inclusion/ exclusion criteria
- What if my patient does not fit the study inclusion/ exclusion criteria?
- Look at the criteria your patient did not satisfy
- Would that affect the outcome or applicability of the results to your patient?
- Consider:
- Studies in specific genders, ethnic or socio-economic groups
- Age groups
- Disease severity
- Co-morbidities
- treatments are not uniformly effective in every patient
- trials estimate average treatment effects
- treatments are not uniformly effective in every patient
- Were all clinically important outcomes considered?
- Are likely treatment benefits worth the potential harm and costs?