EBM menti quiz Flashcards

1
Q

best study to determine prevalence of a disease

A

cross-sectional study
–> prevalence

cohort study - follow up over time, incidence of new cases

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2
Q

in a RCT, what is reduced by randomisation?

A

selection bias

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3
Q

a study that aims to establish normal height of 4y/o children by measuring heights on school entry

A

cross sectional

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4
Q

a study that compares 2 groups of 4y/o with similar characteristics - one group is given a drug + the other a placebo - growth of each is measured after this intervention

A

controlled trial

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5
Q

external validity

A

the extent to which one can appropriately apply the results to other populations

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6
Q

best study design to research the aetiology of a disease

A

cohort
-> importance of time frame

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7
Q

statistical significance

A

results of a study are unlikely to have arisen from chance alone

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8
Q

what does qualitative research seek to analyse?

A

the data which reserchers collct from people in relation to their experiences + circumstances

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9
Q

what is it called when there is no longer any need to sample more people to reach new conclusion or to back up or challenge existing conclusions?

A

saturation

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10
Q

exclusion criteria

A

clear preference for intervention or control
- by patient or doctor

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11
Q

qualitative research methods

A

ask people
- interview
- focus group
- (some ) questionnaires

observe people
- ethnography
- non-participant observation

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12
Q

triangulation

A

area under investigation looked at from different perspectives
- 2 or more research methods

ensure understanding is complete as possible or confirm interpretations

iterative approach -> alter methods as study progresses

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13
Q

research governance

A

the broad range of regulations, principles + standards of good practive that ensure high quality research

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14
Q

how is sensitivity calculated

A

(how well the test detects having the disease)

number of results where disease is detected in people with the disease / number of people with the disease

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15
Q

how is specificity calculated?

A

(how well the test detects NOT having the disease)

number of “normal” results where disease is NOT detected in people withOUT the disease / number of people without the disease

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16
Q

a highly specific test would

A

correctly detect NO disease
very few false positives

17
Q

positive predictive value

A

how reliable is the test result when it shows disease is present

18
Q

calculating positive predictive value

A

number of people with a positive test result + have the disease / number of people with a positive test result (showing disease)

19
Q

negative predictive value

A

how reliable is the test result when it shows disease is NOT present

20
Q

calculating negative predictive value

A

number of people who have a negative test result + do NOT have the disease / number of people with a negative test result

21
Q

what is positive + negative predictive value affected by?

A

prevalence