Critical Appraisal Flashcards

1
Q

To weigh up the evidence critically to assess its validity (closeness to the truth) and usefulness (clinical applicability) “[Sackett and Haynes, 1995

A

Critical Appraisal

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2
Q

are the results valid?
Is the research question focused?
Was the method appropriate?
How was it conducted, e.g. randomisation, blinding, recruitment and follow up?

A

Rigour

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3
Q

: what did the research find?

A

REsult

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4
Q

Will the results help my work with patients?

A

Relevance

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5
Q

validity relates to the quality of the study design in terms of the methods of a study: where bias is reduced as far as possible, where instruments are reliable and safeguards have been put in place to ensure trustworthiness.

A

Internal validity

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6
Q

is the degree to which the results of a clinical study can be applied to clinical practice in a specific setting.

A

External validity

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7
Q

relates to the trustworthiness of the results.

A

REliability

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8
Q

relates to whether a particular treatment or form of care that demonstrated an overall effect in a study can be expected to provide the same effect for an individual or group in a specific clinical or population setting

A

Applicability

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9
Q

the ability to reliably apply the results of a study to other populations, based on the characteristics of the subjects, size of the sample, the setting and trustworthiness of the study.

A

Generalisability

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10
Q

is the absence of any cause of events that can be predicted understood or controlled. It is the unknown and unpredictable element in happenings that seem to have no assignable cause.

A

Chance

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11
Q

is where the sample size used in a study is partly determined on the need to have sufficient statistical power (strength) to make inferences about a population from the sample.

A

Power

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12
Q

is the deviation of a measurement from the ‘true’ value leading to either an over or under-estimation of the treatment effect. Bias may originate from different sources: allocation of patients, measurement, interpretation, publication and review of data.

A

Bias

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13
Q

is a method of analysis for randomised controlled trials in which all patients randomly assigned to one of the treatments are analysed together, regardless of whether or not they completed or received that treatment, in order to preserve randomisation

A

Intention-to-Treat analysis

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14
Q

is the ratio of the rates of outcome in the treatment and control groups. This expresses the risk of the outcome in the treatment group relative to that in the control group.

A

RR or Relative Risk

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15
Q

is the interval within which the population parameter (the ‘true’ value) is expected to lie with a given degree of certainty (eg 95%).

A

CI or Confidence Interval

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16
Q

is the probability that a particular result would have happened by chance.

A

p value

17
Q
Uses numbers to describe and analyse
Useful for finding precise answers to defined questions
Objective process
Deductive reasoning
Statistical sampling
A

Quantitative

18
Q
Uses words to describe and analyse
Useful for finding detailed information 
about people’s attitudes / perceptions
Subjective process
Inductive reasoning
Theoretical sampling
A

Qualitative

19
Q

Measures effectiveness of intervention over time

A

Cohort study

20
Q

Comparative: what makes some populations different from others

A

Case-controlled study

21
Q

Whether one intervention is better than another

A

Clinical trial

22
Q

measures overall effect of several clinical trials

A

Systematic review / meta-analysis

23
Q

Preventing those involved in a trial from knowing to which comparison group,

i.e. experimental or control, a particular participant belongs

A

Blinding

24
Q

Participants, caregivers, outcome assessors and analysts can all be blinded

A

BLinfing

25
Q

Analysing people, at the end of the trial, in the groups to which they were randomised, even if they did not receive the intended intervention
Prevents attrition bias: caused by patients withdrawing from a trial
Paper should specify if ITT was or was not used

A

Intention-to-treat analyses

26
Q

is the probability of an event occurring compared to the probability of it not occurring

A

Odds

27
Q

Represents the probability that the result could have occurred by chance if the null hypothesis was true

A

P-value

28
Q

Assesses significance of a given sample

A

Confidence interval