Modules 1 & 2 Flashcards

1
Q

screening criteria

A

disease
test
treatment
screening programme

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2
Q

Bradford Hill criteria

A
temporality
biological gradient
reversibility
consistency of association
specificity
biological plausibility
strength of association
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3
Q

what is a suitable disease (screening)

A

be of public health importance
- common
- uncommon but early detection can lead to a better outcome (simple treatment)
known history of disease/risk factors
- can detect risk factors/early forms of disease
- has a long pre-clinical phase - long time to detect.

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4
Q

what is a suitable test?

A
reliable
safe
simple
affordable
acceptable
accurate
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5
Q

sensitivity

A

likelihood of a +ve test in those with a disease

true +ve)/(all w/ disease

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6
Q

specificity

A

likelihood of a -ve test in those without disease

true -ve)/(all w/o disease

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7
Q

PPV

A

probability of having disease if you test +ve

true +ve)/(tested +ve

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8
Q

NPV

A

probability of not havig disease if you tested -ve

true -ve)/(tested -ve

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9
Q

lead time bias

A

false impression of increased survival time due to an increase in the time between diagnoses and death compared to clinical diagnosis. Patients may not live longer, instead, they simply know that they have the disease earlier, so live with this knowledge for a longer period of time

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10
Q

length time bias

A

false impression of increased average survival time as screening is more likely to detect a greater proportion of those with a slower progressing form of the disease than a fast progressing form of the disease. thus average survival time of the screened people is skewed and not representative of all the cases, and gives a false impression of survival time.

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11
Q

suitable screening programme?

A
  • benefits > harm
  • RCT evidence proves increased survival time/decreased mortality rate.
  • cost effective
  • adequate resources and policy for testing/diagnosis/treatment/program management
  • health system must be able to support ALL elements of this pathway
  • must be able to reach those who benefit from screening the most.
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12
Q

factors to consider in prioritisation

A

evidence measures
community values and expectations
human rights/justice

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13
Q

evidence measure types

A

descriptive - what is the burden of disease? who has it? trends?
explanatory - where are we now? who is affected most?
evaluative - determinants? risks? why are we getting better/worse? why are there differences in populations?

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14
Q

ottawa charder 3 basic strategies

A

enable
advocate
mediate

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15
Q

enable

A

create opportunities for individuals to make healthy choices

allow access to life skills, supportive environments and information

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16
Q

advocate

A

create supportive environments (political, social, physical, economic, cultural)
achieve equity

17
Q

mediate

A

bring people with different opinions together to come to a compromise for health care.

18
Q

ottawa charter 5 priority action areas

A
  1. develop personal skills
  2. strengthen community action
  3. create supportive environments
  4. reorient towards primary healthcare
  5. develop healthy public policy
19
Q

high risk individual benefits

A

high individual/physician motivation
cost-effective (only those that need treatment are treated)
appropriate to individuals - tailored to need.
high benefit-risk ratio

20
Q

high risk individual intervention disadvantages

A

high cost of screening
temporary effect - doesn’t address underlying causes
limited potential - high risk doesn’t mean large burden
behaviorally inappropriate.

21
Q

population intervention benefits

A

radical - addresses underlying causes
behaviorally appropriate
potential to benefit everyone.

22
Q

population intervention disadvantages

A

low benefit-risk ratio
low individual/physician ratio
reduced individual benefit

23
Q

strengths RCT’s

A

minimises confounding - diff characteristics have equal chance of being allocated to either EG or CG. therefore similar baseline characteristics. no other different confounding factors

24
Q

weaknesses RCT’s

A

maintenance error
highly motivated individuals not representative
costly –> so small study prone to random error

25
Q

cohort study strengths

A

cheaper

no reverse causality as exposure measured before outcome

26
Q

cohort study weaknesses

A

confounding - need to adjust

maintenance error

27
Q

ecological study strengths

A

cheap as data already gathered
good for rare diseases
good for when an exposure is present in large amount s in one popn but not another.

28
Q

ecological study weaknesses

A

confounding very common.
confounding factors hard to measure and adjust for.
quality of study depends on quality of existing data

29
Q

cross sectional study strengths

A

no maintenance error

cheaper than RCT’s

30
Q

cross sectional study weaknesses

A

reverse causality as don’t know temporality between exposure and outcome.
confounding
recall bias/error

31
Q

random error types

A
sampling error
biological variability
measurement bias
operator ability to take measurements
variation in background noise
32
Q

how to reduce random error

A

increase sample size
use more objective measuring devices
take averages of measurements.