Week 2 - Principles of Evidence-Based Practice II Flashcards

1
Q

When appraising evidence, what specific things should you consider? (There are 3)

A

Validity
Clinical Importance
Applicability

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2
Q

Name the critical appraisal skills program (CASP) tools

A

systematic reviews
RCTs
Case-control studies
Cohort studies

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3
Q

What does RAMMBO stand for?

A

Recruitment (representative pop?)
Allocation (randomised?)
Maintenance (everyone treated equally?)
Measurement (was everyone Blinded to treatment? Were measurements Objective and standardised?)

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4
Q

In the example study given during the lecture (deep vein thrombosis) how were the control and experiment groups different?

A

The experimental group had more women, hence, higher rates of hormone replacement therapy (HRT) in the experimental group

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5
Q

Was the study (deep vein thrombosis) blinded?

A

The outcome assessors were not aware of which study groups the subjects were in, however, the subjects knew (could solve this by using a placebo stocking).

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6
Q

what is a consort diagram/ statement?

A

The CONSORT Statement is an evidence-based, minimum set of recommendations for reporting RCTs.

Transparency- how participants progressed through the study: allocation, exclusions, randomisation, analysis etc.

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7
Q

What calculations can you make that help to evaluate clinical significance? And what do they explain?

A

Event Rate: how often outcome is observed in control and treatment conditions
Absolute and Relative Risk: to allow comparison between control and treatment conditions
Number Needed to Treat: number needed to treat to prevent a bad outcome

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8
Q

Why aren’t all effect sizes created equal?

A

Effect sizes can be used to represent the strength of a relationship between two variables (r), or it can be used to describe the mean difference between two groups (Cohen’s d)

the meaning of an effect size depends on context: a ‘small’ effect size might be considered large depending on the area of study

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9
Q

List the two kinds of event rates

A

CER: control event rate
EER: experimental event rate

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10
Q

Explain how to work out the absolute risk reduction

A

difference in the event rates in the two groups (the size of the treatment effect)

If 20% of patients die with no treatment (A), and 15% die with treatment (B), there is a 5% absolute risk reduction with treatment B:
CER-EER = 0.20 - 0.15 = .05
For every 100 patients enrolled in the treatment group, about 5 bad outcomes would be averted.

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11
Q

Explain how to work out the number needed to treat

A

Number needed to treat = 1/ absolute risk reduction
NNT = 1/ARR

(in the example with 20% of patients dying with no treatment (A), and 15% dying with treatment (B))

ARR = CER - EER = .05
NNT = 1/ .05 =
So the number you need to treat one person to benefit is 20

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12
Q

how do you work out Relative Risk Reduction?

A

RRR is the difference in event rates between two groups, expressed as a proportion of the event rate in the untreated group

RRR = (CER - EER)/ CER = (0.20 - 0.15)/0.20 = 0.25

This means that the disease/ disorder was reduced by 25% in the treatment group compared with the control

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13
Q

Explain the Odds Ratio (OR)

A

measure of association between an exposure and an outcome.

OR = exposed to smoking and have lung cancer/ exposed to smoking and don’t have lung cancer

https://www.youtube.com/watch?v=ITi0SxmQTO8

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14
Q

What do you have to consider when applying the evidence to your client? (4 things).

A
  1. Individual baseline risk
  2. Judge whether evidence can be extrapolated to your client
  3. Understanding factors that may increase benefits or harm their experience
  4. Qualitative evidence
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