Tutorial 2 Flashcards

(43 cards)

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
When are descriptive studies useful?
identifying emerging public health problems assessing effectiveness of measures assess needs for planning hypotheses about aetiology
26
Cross sectional studies
frequency survery, prevalence study | observations at single point in time
27
Conclusions from a cross sectional study
relationship between disease and variables of interest in a defined population
28
Strength of cross sectional studies
quick results, but cannot do causation
29
Case control studies
compare 2 groups cases - have disease controls - do not have disease
30
In a case control study what is data gathered on?
exposure to suspected aetiological factor
31
Cohort studies
baseline data on exposure collected from group of people who do not have the disease and followed until some of them do
32
Trials
experiments used to test ideas about aetiology or evaluate interventions
33
Definitive method for assessing any new treatment
randomised controlled trial
34
6 factors to consider in interpreting results
``` standardisation standardised mortality ratio quality of data case definition coding and classification ascertainment ```
35
Bias
any trend in collection, analysis, interpretation, publication or review of data that can lead to conclusions that are systematically different from the truth
36
4 types of bias
selection information follow up systematic error
37
Cofounding factor
associated independently with both disease and exposure under investigation
38
best way possible to prove causation between exposure and disease
demonstrate a weight of evidence in favour of a casual relationship
39
Only absolute criterion for causality
temporality
40
Temporality
The exposure comes before disease
41
AUDITs - could do own or others?
need to set criteria and standards to measure time consuming and need research utilise others - guidelines
42
Interventions before repeat audit?
inappropriate prescribed and tell them not to do it again present audit results to practice circulate current guideline summary to gps
43
Limitations of audit?
only of those prescribed | misses patients who should have received drug but did not