Tutorial 2 Flashcards

1
Q

% of people consulting GP and % to hospital

A

20

3

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2
Q

Why is the hierarchy of healthcare not completely accurate?

A

severity of illness does not accurately parallel severity of disease

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3
Q

Definition of disease

A

signs, symptoms, diagnosis, biomedical perspective

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4
Q

Illness definition

A

ICE

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5
Q

4 factors affecting uptake of care

A

lay referral
sources of info eg peers family, TV, leaflet
medical factors - symptoms, visible, worse, duration
non medical - crisis, peer pressure, social class, beliefs, psychological etc

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6
Q

5 possible issues from patients point of view for starting treatment

A
believes himself to be healthy
physically fit 
proud not on tablets 
associations 
will he feel better
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7
Q

possible issues from GP’s point of view for starting treatment

A

more investigations
worried about consequences for his health
info sources to educate yourself

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8
Q

3 main aims of providing information

A

description
explanation
disease control

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9
Q

Description (epidemiology)

A

Describe amount and distribution of disease in human populations

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10
Q

Explanation (epidemiology)

A

natural history
aetiological factors
epidemiological and data from other sources

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11
Q

Disease control (epidemiology)

A

provide bases on which preventative measures, public health practices and therapies developed, implemented, monitored and evaluated

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12
Q

What does epidemiology compare and what does this help with?

A

groups/populations
aetiological clues
scope for prevention
identification of high risk or priority groups

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13
Q

General difference between clinical medicine and epidemiology

A

clinical medicine - individual patient

epidemiology - populations

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14
Q

minor illness incidence and prevalence

A

high incidence but low prevalence

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15
Q

Other illness eg chronic incidence and prevalence

A

low incidence

high prevalence

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16
Q

Relative risk

A

strength of association between associated risk factor and disease under study

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17
Q

How to calculate relative risk

A

incidence in exposed/incidence in unexposed

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18
Q

Sources of epidemiological data

A
mortality data 
reproductive health stats
cancer stats 
accident stats
GP morbidity 
health and household surveys
hospital activity stats
social security stats 
drug misuse database 
expenditure data from NHS
19
Q

Health literacy

A

having the knowledge, skills, understanding and confidence to use heath information to be active partners in their care and navigate health and social care systems

20
Q

Risk calculators

A

CHADS2 - AF stroke

bleeding

21
Q

SIGN guidelines

A

systematic review of literature
help health and social care professionals and patients
reduce variation in care
improve healthcare

22
Q

Descriptive studies

A

Describe the amount and distribution of a disease in a given population

23
Q

What do descriptive studies give clues about and what do they not?

A

does not = causation

does - possible risk factors and candidate aetiologies

24
Q

Advantages of descriptive studies

A

cheap, quick, valuable initial overview of problem

25
Q

When are descriptive studies useful?

A

identifying emerging public health problems
assessing effectiveness of measures
assess needs for planning
hypotheses about aetiology

26
Q

Cross sectional studies

A

frequency survery, prevalence study

observations at single point in time

27
Q

Conclusions from a cross sectional study

A

relationship between disease and variables of interest in a defined population

28
Q

Strength of cross sectional studies

A

quick results, but cannot do causation

29
Q

Case control studies

A

compare 2 groups
cases - have disease
controls - do not have disease

30
Q

In a case control study what is data gathered on?

A

exposure to suspected aetiological factor

31
Q

Cohort studies

A

baseline data on exposure collected from group of people who do not have the disease and followed until some of them do

32
Q

Trials

A

experiments used to test ideas about aetiology or evaluate interventions

33
Q

Definitive method for assessing any new treatment

A

randomised controlled trial

34
Q

6 factors to consider in interpreting results

A
standardisation 
standardised mortality ratio
quality of data
case definition 
coding and classification
ascertainment
35
Q

Bias

A

any trend in collection, analysis, interpretation, publication or review of data that can lead to conclusions that are systematically different from the truth

36
Q

4 types of bias

A

selection
information
follow up
systematic error

37
Q

Cofounding factor

A

associated independently with both disease and exposure under investigation

38
Q

best way possible to prove causation between exposure and disease

A

demonstrate a weight of evidence in favour of a casual relationship

39
Q

Only absolute criterion for causality

A

temporality

40
Q

Temporality

A

The exposure comes before disease

41
Q

AUDITs - could do own or others?

A

need to set criteria and standards to measure
time consuming and need research
utilise others - guidelines

42
Q

Interventions before repeat audit?

A

inappropriate prescribed and tell them not to do it again
present audit results to practice
circulate current guideline summary to gps

43
Q

Limitations of audit?

A

only of those prescribed

misses patients who should have received drug but did not