Hadpop Flashcards

(60 cards)

0
Q

Define necessary

A

A cause always precedes the disease

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1
Q

Define a cause

A

Something that increases probability of getting a disease

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2
Q

Define sufficient

A

A cause alone can lead to the disease

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3
Q

Possible explanations for systematic and random variation

A
Confounding 
Bias:
Healthy worker effect 
Group comparison 
Information bias 
Chance measured by the p value
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4
Q

What are the Bradford hills criteria for causality?

A
Strength of association
Specificity of association
Consistency of association
Reversibility
Dose response
Temporal sequence 
Coherence of theory
Biological plausibility
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5
Q

What are the 2 purposes of a clinical trial?

A

Safety - ability of health care intervention to not harm a population under certain conditions
Efficacy - ability of a health care intervention to benefit a defined population under certain conditions

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6
Q

What does a clinical trial new to be in order to give a fair comparison of effect and safety?

A

Fair
Large trial
Controlled
Reproducible

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7
Q

What is a non randomised control trial?

A

Where new patients with new treatment are compared with the old group receiving the standard treatment

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8
Q

What are the disadvantages of non randomised control trials?

A

Selection bias

Confounding

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9
Q

What are historical control trials?

A

Involves comparison groups who had the treatment with a group receiving the new treatment

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10
Q

What are the disadvantages of historical trials?

A

Selection less defined and vigorous
Treats differently
Less info
Unable to control confounders

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11
Q

What are the factors to consider with randomised control trials?

A
Treatment
Outcomes
Patients taking part
Patients not to be considered 
Disease of interest 
Bias and confounders
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12
Q

How do you conduct randomised control trials?

A
Identify
Invite
Consent
Allocate 
Follow up
Minimise losses to follow up 
Maximise compliance 
Analyse
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13
Q

What is the comparison of the outcomes in a randomised control trial?

A

Is there an observed difference?
Is it due to chance?
Is it due to the treatment?
How big is the difference?

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14
Q

Give some examples of randomisation

A

Number tables

Computer generated

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15
Q

Define single blind

A

When only one person is blinded

Clinician/patient/assessor

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16
Q

Define double blind

A

When two people are blinded

Clinician/assessor/patient

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17
Q

Define triple blinded

A

When three people are blinded
Clinician/assessor/patient all are
Only pharmacist will know treatment allocation

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18
Q

What is the placebo effect?

A

Inert substance made to look like the active one
Same packaging
Only used when no standard treatment available
It’s deception so may patients be aware that they may be getting a placebo

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19
Q

How do you conduct a case control study?

A

Identify a group of cases
Identify a suitable group of non cases
Ascertain previous exposure status of everyone
Compare level of exposure in cases and controls

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20
Q

What are the features of a case control study?

A
Cheaper than cohorts 
Quicker than cohorts 
Not good at rare exposures
Good at rare diseases 
Study a range of exposures for that outcome 
Compares exposure to disease status
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21
Q

How do you work out the odds ratios for case control?

A

OR = ad

bc

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22
Q

How do you work out the error factor for the odds ratio for the case control?

A

EF = exp { 2 x square root of [(1/a) + (1/b) + (1/c) + (1/d) ]}

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23
Q

What happens if the number of controls is increased?

A

Effor factor decreases as b and d will be larger

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24
What factors affect the odds ratio?
Overestimating their exposure decreases odds ratio so underestimate outcome Shrinkage to null when both cases and controls underestimate their exposure
25
What are the key issues for case control studies?
Selection bias Information bias Confounders
26
What are the characteristics of a cohort study?
Compares risk in one group to people in another Starts with disease free individuals and follows them up over long periods of time Risk estimated as IRR Can be prospective or retrospective
27
How do you work out the IRR?
IRR = exposed IR/unexposed IR
28
What do you use to work out external comparisons?
SMR
29
What is the true value?
The value that the study aims to find
30
What is the observed value?
The best estimate of the true value
31
What is the null hypothesis?
The statistical hypothesis tat one variable has no association with another variable or set of variable Equal to 1 or 100 in SMR NEVER accept null
32
What is the provability?
Known as p value Smaller the p value, stronger evidence to reject null P0.05 can't reject null if inside CI
33
How do you calculate confidence interval?
``` Lower = IRR/EF Upper = IRRxEF ``` EF = exp (2x square root of (1/d) *d is observed cases Accounts for variation
34
What is the confidence interval?
Range of values that we can say with confidence the actual value lies within 95% of cases
35
What is the incidence rate?
The number of new cases arises per given time IR= new events/ (number of people x time) events per person per year *if small x1000
36
What is prevalence?
The number of existing cases within a population Prevalence = number of cases/population * no time frame therefore not a rate
37
How do you work the IRR out?
IRR = rate a/rate b | It's the relative risk whereas incidence rate is the absolute risk
38
What is chance?
Random variation
39
What are confounding factors?
A characteristic of population being studied that often affects results
40
What is bias?
Characteristic of a flawed study
41
What does applicable mean?
How do results relate?
42
What is causality?
Deterministic or stochastic
43
What is deterministic causality?
Deterministic - validation of hypothesis by systematic observations to predict with certainty future events
44
What is stochastic causality?
Assessment of hypothesis to give likelihood of future events
45
What is a census?
Simultaneous record of demographic data of all people in a defined area
46
Why are the characteristics of a census?
``` Run by government Cover defined area Personal enumeration Simultaneous throughout a defined area Universal coverage Occurs at regular intervals Households and people described ```
47
What is the relevance of a census?
``` Determines population size Population structure so service needs Population characteristics Allocation of resources Population projections Trends in populations ```
48
What is the crude birth rate?
Number of live births per 1000 members of the population
49
Disadvantages of crude birth rate?
Men counted but thy do not give birth | Doesn't account for age
50
What is the general fertility rate?
Number of live births per 1000 females aged 15-44
51
Disadvantage of general fertility rate?
Age can be outside
52
What is the total period fertility rate?
Average number of women that would be born to a hypothetical woman in her life No of births/no of people for each age group the. Average column up
53
What is the crude death rate?
Number of deaths per 1000 population | Deaths / population x 1000
54
What is the age specific death rate?
Number of deaths per 1000 in an age specific group | Deaths/people that age x1000
55
What is the standardised mortality ratio?
Adjusts for age sex distribution Compares observed number with expected number SMR = Observed/expected x 100
56
What are the uses of death rates?
Classify causes of death Analyse patterns in mortality rates Identify health problems Inform service needs
57
What are population estimates?
Apply what is known about birth, deaths and migration to the present
58
What are the population projections?
Makes additional assumptions based on current data to estimate the future
59
What are the variables for population estimates and projections?
Migration and fertility rate