How to search lit Flashcards

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1
Q

PICO method

A

Population/problem
Intervention
Comparison
Outcome

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2
Q

Questions in critical appraisal

A
what is the clinical question? 
why was the question asked? 
what did they do? 
what was the answer? 
what did they say about the answer? 
what do I do with this info?
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3
Q

Diagnostic test

A

evaluates a test for diagnosing a disease

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4
Q

differential diagnosis

A

weighing the probability that one disease rather than another accounts for a pts illness
tries to sort out what proportion of the pts with a single sign or symptom has various diseases

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5
Q

economic analysis

A

provides accurate values to assess the cost of disease and the cost-benefit of interventions

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6
Q

harm/etiology

A

addresses how to identify causes for disease including those caused by the healthcare system

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7
Q

prognostic

A

how to estimate the pts likely clinical course over time and anticipate likely complications of disease

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8
Q

practice guideline

A

a systematically developed statement on medical practice for specific medical conditions

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9
Q

Qualitative study

A

no stats

ie. beliefs, attributes, meanings, symbols

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10
Q

systematic review

A

focused on a single question and gather all research in relation to the question

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11
Q

meta analysis

A

the results of studies are similar enough that they are combined and analysed as one

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12
Q

therapy

A

how to select treatments to offer pts that do more good than harm and are worth the efforts and costs

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13
Q

qualitative research

A

study things in their natural setting
holistic view
inductive reasoning: bottom up approach, make obs and recognise patterns
deductive reasoning: top down approach, start with a theory and develop a hypothesis based on that theory

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14
Q

Methods of qualitative research

A
case studies
behavioural studies
ethnopgraphy 
action research 
personal
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15
Q

quantitative research

A

uses numbers and data
strength of research lies in reliability of study
uses deductive reasoning
types: observational - patterns of injury and illness in population
experimental - compare to baseline or placebo

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16
Q

Observational research: case series

A

cases selected on a single topic for defined period

comparison includes opinion of reviewer

17
Q

observational research: cross-sectional

A

collects data from a sample population at one point in time

18
Q

Observational researchL case control

A

series of cases and a control or comparison group

19
Q

Observational research: cohort studies

A

participants are defined on basis of exposure or non exposure to a suspected risk factor
exposure measured before outcome occurs

20
Q

Experiement research: controlled clinical trials (CCT)

A

experimenter manipulates the situation

comparison of groups

21
Q

experiemental research: randomised controlled trials (RCT

A

subjects randomly allocated to groups

study and control groups

22
Q

power calculations

A

sample size calcs are about making an educated guess to help ensure the study has a sufficiently high change of finding and effect and is not overpowered and wasteful

23
Q

type 1 error

A

probability of finding a statistically significant effect when the truth is that there is no effect

24
Q

Type II error

A

probability of not finding a statistically significant effect when one really does exist

25
Q

Mechanics of hypothesis testing

A
null hypothesis
alternative hypothesis
decision rule 
p value
apply decision rule
26
Q

null hypothesis (Ho)

A

Ho = no effect or association

assume its true (Straw man)

27
Q

alternative hypothesis (Ha)

A

finding of some effect

one or 2 sided

28
Q

decision rule

A

virtually always: reject Ho if p less than .05

this cutpoint = alpha level

29
Q

calculate p value

A

assume Ho is true
do study/gather data
calculate probability that we’d see something as extreme as what we observed IF Ho were true

30
Q

applying decision rule

A

if P less than cutpoint reject Ho ie. there is an effect

if P greater than cutpoint do not reject Ho i.e there is not an effect

31
Q

to calculate sample size

A

effect size, SD(d), cutpoint for decision rule, power we want for study, what statistical test we will use