Module 5, Application of Evidence-based Principles Flashcards

1
Q

What is evidence based medicine?

A
  • we should apply the best evidence for medical research
  • especially from RCT
  • ““Integration of best research evidence with clinical expertise and patient values”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is the hierachy of evidence?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the proposed new evidence based medicine pyramid?

A
  • 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
    *
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What are the 5 steps of EBM?

A
  1. Form an answerable question
  2. Find the best evidence
  3. Critically evaluate the evidence
  4. Individualise response, based on professional expertise and patient concern
  5. Evaluate your own performance
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How is this relevant to pharmacy practice?

A
  • 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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Whats the concept of critical evaluation?

A
  • What are the RESULTS?
  • Are the results VALID?
  • Are results RELIABLE?
  • Are the results USEFUL?
    *
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Critical Evaluation- What are the results?

A
  • Dichotomous variables; only 1 or 2 options for the outcome
    • Yes/ no
    • Alive/ dead
    • Pain/ no pain
  • Continuous variables
    • Age
    • Hair length
    • or pain if we assess in terms of a pain score
  • Terminology for controlled studies
    • Control group
    • Treatment or Intervention group
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Critical Evaluation- What are the results?

A
  1. Descriptive:
    • Describe the population studied
  • Age range
  • Gender or ethnicity
  • Cannot be generalized to any larger group
  1. 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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Critical evaluation- Are the results valid?

A

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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What do we need to consider when thinking about the quality of research?

A
  • 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…
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Critical evalutaion- Are the results reliable?

A
  • 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
  • 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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Critical evaluation- Are the results useful?

A
  • 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
    • should see mixed POO and DOO in most trials
  • 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)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Critical evaluation- Are the results useful?

A
  • 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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is Absolute risk (AR)?

A
  • chance an outcome will happen
  • simplest measure of association
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is absolute risk reduction (ARR)?

A
  • the risk difference
  • difference in proportion of participants who had outcome in control compared with treatment group
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is relative risk (RR)?

A
  • 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
17
Q

What is hazard ratio (HR)?

A
  • 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
18
Q

What is relative risk reduction (RRR)?

A
  • 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%
19
Q

What is the odds ratio (OR)?

A
  • 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
20
Q

What is the number needed to treat (NNT)?

A
  • Number of patients that we would need to treat with intervention to produce one positive outcome
  • NNTs are usually rounded up
21
Q

What is the number needed to harm (NNH)?

A
  • Number of patients that we would need to treat with intervention to produce one negative outcome
  • NNHs are usually rounded down
22
Q

How can I apply the results to my patient’s care?

A
  • Were the study patients similar to my patient?
    • inclusion/ exclusion criteria
      • limitations
  • 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
  • Were all clinically important outcomes considered?
  • Are likely treatment benefits worth the potential harm and costs?