Critical appraisal Flashcards

1
Q

What is critical appraisal

A
  • systematically examining research evidence
  • assess its validity, results and relevance before using it to inform a decision
  • allowing us to make sense of research evidence and begin to close the gaps between research and practice
  • quality of study designs is never certain, even if published
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2
Q

How does one write a research paper?

A
  1. Question:
    - Recognise the need for new information
    - Should be focused
  2. Finding Evidence: If you have the wrong evidence, you’ll get the wrong answer to your question
  3. Appraisal:
    - Evaluate the validity and usefulness of the details (relative to your question)
  4. Acting on evidence:
    - what are you going to do with your new knowledge?
  5. Evaluation and reflection:
    - You made changes. Did it impact as you wanted it to?
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3
Q

What should be considered when doing a systematic review?

A
  1. Systemiatic - research process
  2. Logical - deductive/inductive
  3. Empirical - evidence based
  4. Reductive - generalisation
  5. Replicable - methodology should be repeatable
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4
Q

How does one approach a critical review?

A
  1. Find models (be guided by others)
  2. Problem formulation – which topic is under consideration and what are the constituent issues?
  3. Literature search
  4. Evaluation of findings (against your criteria/Q’s)
  5. Analysis and interpretation of literature
  • describe and analyse the existing evidence base (not a description)
  • detail what gaps you’ve found
  • reveal similarities and differences, consistencies and inconsistencies and controversies
  • (try to) explain reasons for these…
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5
Q

What are ideal studies for therapeutic methods

A

RCT
efficacy
alternative method

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6
Q

What are ideal studies for diagnosis methods

A

cross sectional
efficacy
reliability

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7
Q

What are ideal studies for prognosis

A

longitudinal cohort

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8
Q

What are ideal studies for causation

A

cohort, case control, case report

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9
Q

Checklist for critical analysis

A
Question 
Design 
Population 
Methods
Analysis 
Counfounders
Bias 
Intepretation

SEE NOTES

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