The Use Of Data Flashcards

(54 cards)

1
Q

What % of people consult their GP about their health concerns?

A

20%

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2
Q

What % of people who consult their GP are passed on to secondary care/ get an Ix done?

A

3%

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3
Q

What’s the difference between diagnosis, disease and illness?

A

Disease=symptoms
Diagnosis=signs
Illness=ICE and experience

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4
Q

The medical and non-medical factors affecting the uptake of care

A
Medical:
New symptoms 
Visible symptoms 
Increasing severity
Duration
Non-medical:
Crisis 
Peer pressure
Patient beliefs 
Expectations 
Social class
Economic 
Psychological 
Environmental
Cultural 
Ethnic
Age 
Gender 
Media
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5
Q

What’re the 3 main aims of epidemiology?

A

Description
-to describe the amount and distribution of disease in human population

Explanation
To elucidate the natural history and identify aeitological features for the disease

Disease control
To provide the basis one which preventive measures, public health practices and therapeutic strategies can be used

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6
Q

What differences in groups can epidemiology point out?

A

Aetiological clues (what causes the problem)
The scope for prevention
The identification of high risk or priority groups in society

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7
Q

How may the study group be defined?

A

Age/sex/location

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8
Q

Who does clinical medicine deal with?

A

The individual patient

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9
Q

What does epidemiology deal with?

A

Populations

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10
Q

What’s the ratio to do with disease and risk?

A

Events/population at risk

The risk part is crucial. It means that everyone in the denominator must have the possibility of entering the numerator. And conversely those people in the numerator, must have come from the denominator population

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11
Q

Incidence vs prevalence

A

Incidence=the number of new cases of a disease in a population in a specified period of time

Prevalence=is the number of people with a specific disease at a single point in time or a defined period of time

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12
Q

What is the relative risk and the ratio to work it out?

A

A measure of the strength of an association between a suspected RF and disease under study

RR=incidence in an exposed group/incidence of disease in an unexposed group

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13
Q

Sources of epidemiological data

A
Mortality data
Hospital and clinical activity statistics
Reproductive health statistics 
Infectious disease stats 
Cancer stats
Accident stats
GP morbidity stats
Health and household stats
Drug misuse databases
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14
Q

What is health literacy?

A

It is about people having the knowledge, skills, understanding and confidence to use health information, to be active partners in their care and to navigate health and social care system

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15
Q

What’s the CHA2DS2-VASc score used for?

A

Estimating the risk of stroke in patients with non-rheumatic AF

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16
Q

What’re NAOCs and why do they appeal to patients?

A

Novel anticoagulants

Newer drugs that don’t require regular blood tests like warfarin

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17
Q

Downside of NOACs?

A

Not easily reversed like warfarin is (with vit K) in the event of bleeding
Relatively expensive

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18
Q

HAS-BLED score is used for what?

A

The risks of bleeding for patients on anticoagulants

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19
Q

What’re the 6 steps in making SIGN guidelines?

A

1) identify questions
2) search for evidence
3) look at the evidence
4) make judgements and recommendations
5) publish the guidelines
6) advertise guidelines

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20
Q

What’re descriptive studies?

A

The describe the amount and distribution of a disease in a given population
May look at the disease alone or examine one or more factors (exposures) thought to be linked to the aetiology

Doesn’t provide definite conclusions about disease causation but gives clues to possible risk factors and candidate aetiologies

Follow the time, place, person framework

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21
Q

What are are descriptive epidemiological studies useful in?

A

Identifying emerging public health patterns
Signalling the presence of effects worthy of further investigation
Assessing the effectiveness of prevention and control measures
Assessing the needs for health services and service planning
Generating hypotheses about disease aetiology

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22
Q

Do descriptive epidemiological studies test hypotheses?

23
Q

What’re cross sectional studies

A

Observations are made at a single point in time

Conclusions are drawn about the relationship between diseases and other variables of interest in a defined population

24
Q

One positive and one negative about cross sectional studies

A

Provides results quickly

Impossible to infer causation

25
What’re case controlled studies?
``` 2 groups of people are compared The cases (those with the disease) and those who are the control (those without the disease) ```
26
What data is essential in case control studies?
Determining if each individual has been exposed to the suspected aetiological factor(s)
27
How are clues to what elevates/reduces the disease risk found in case control studies?
The average exposure to the aetiological factors
28
what’s a cohort study?
Baseline data is gathered from a group without the disease and that same group is then followed till they do develop the disease
29
How are the subgroups of cohort studies determined?
According to original exposure status
30
What do cohort studies allow for?
The calculation of cumulative incidence, allowing for differences in follow up time
31
How are the results of cohort studies normally expressed?
Relative risks, with confidence intervals or p values The comparison of those who were exposed and those who were not and the number of each group which go on to become diseased or those who remain not diseased
32
What is the definitive method of assessing any new treatment in medicine
Randomised control trial
33
What’re the 2 groups in a randomised control trial?
An intervention (study) group and the control
34
Which group in a randomised control trial is the change made to?
The intervention group (eg a suspected causative factor is removed or neutralised)
35
Name the types of analytical studies
Cross sectional Case control Cohort
36
Descriptive vs analytical studies
Descriptive studies focus on detailed investigative studies of individuals to improve disease knowledge whereas analytical studies focus on testing hypothesises by selection and comparison of groups
37
What’re the 6 factors that must be considered when interpreting results?
``` Standardisation Standardised mortality ratio Quality of data Case definition Coding and classification Ascertainment ```
38
What is standardisation?
A set of techniques used to remove/adjust for the effects of differed in age or any other confounding variables when comparing two or more populations
39
What’s an age-sex standardised rate?
It represents what the unstandardised or crude rate would’ve been if the population had had the same proportion of females and males and of people in different age groups as the standard population
40
What’s an SMR?
A standardised mortality ratio The figure for a standard reference in Scotland is taken to be 100 in SCO and the standardised death rate for the study is expressed as a % of 100 So 120 means 20 more than than should be expected
41
What is ascertainment?
Data completion
42
Why is case definition relevant?
Deciding whether or not all individuals have the same disease of interest or not as different people in different places may have different definitions of the same thing
43
What is bias?
The trend in collection, analysis, interpretation, publication or review in data that are systematically different from the truth
44
Name the 5 types of bias that may affect epidemiological studies
``` Selection Info Follow up Systematic error Publication bias ```
45
When does selection bias occur?
When a study sample isn’t truly representative of the whole study population
46
When does information bias occur?
Systemic errors in monitoring exposure or disease Eg a researcher who was aware of the case or control groups may encourage patients to think harder about past symptoms than one in a ransomised control trials
47
What’s a follow up bias?
One group of subjects is followed up more assiduously than another to measure disease incidence or other relevant outcomes Eg if 2 people moved address or failed to respond to the questionnaire sent out be the researchers and the one had more effort to to trace them
48
What’s a systematic error?
A form of measurement bias where there is a tendency for measurements to always fall on one side eg an instrument is calibrated wrong
49
How can a publication bias arise?
Occurs when positive results have a greater chance of being published than negative results even if the study quality is poorer in the positive result one
50
What’s a confounding factor?
A factor which independently influences the relationship with the disease and exposure so skews the results
51
Name 3 common confounding factors
Age Sex Social class
52
What’re the criteria for causality?
``` Strength of association Consistency Specificity Temporality Biological gradient Biological plausibility Coherence Analogy Experiment ```
53
What’s the only absolute criterion for causality?
Temporality
54
What’s temporality?
Whether the info about cause and effect were gathered at the same time