module 1 Flashcards

(39 cards)

1
Q

incidence - strengths

A

incidence is determined only by the disease risk in a population - clean measure of disease occurrence

incidence measure include events (N), population (D) and time (T)

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2
Q

Incidence - weakness

A

incidence can be difficult to measure as you have observe events over time

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3
Q

prevalence strengths

A

is easy to measure as you ‘stop time’ and count

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4
Q

prevalence weakness

A

measures include only events (N) and population (D) - less information than incidence

is determined by the incidence, cure rate and death rate (dirty measure of disease occurrence)

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5
Q

an epidemic

A

the occurrence of ‘disease’ is clearly in excess of normal

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6
Q

pandemic

A

an epidemic occuring in many countries

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7
Q

only one cg and many eg

A
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8
Q

Ecological studies

A

POPULATIONS/MULTIPLE GROUPS OF PEOPLE into eg and cg

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9
Q

Individual participation studies

A

allocate INDIVIDUALS to EG and CG & in triangle

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10
Q

prevalance

A

can be measured BACKWARDS <—-

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11
Q

RD

A

RD= EGO-CGO/CGO-EGO

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12
Q

EGO=CGO

A

RD = 0

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13
Q

EGO/CGO

A

RR

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14
Q

rr and rd

A

beware of the large RR but small RD

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15
Q

PECOT Triangle parts

A

Top: Is the SETTING well described

Mid: Is ELLIGABLE POPULATION as indentifiable, meaningful population?

Bot: Do the PARTICIPANTS represent the elligable population

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16
Q

in cohort studies, the participants are allocated by

17
Q

cross sectional studies are allocated by

A

measurement to EG and CG

18
Q

ramboman: maintence problem

A

long term study

19
Q

Asking participants if they ___

20
Q

Asking participants yes/no

21
Q

sub–>obj

A

make it anonymous

video of showing symptoms

22
Q

double blind RCT

A

if everyone is “blind” it is less important if the outcome is not measured objectively

23
Q

confounding: adjusting

A

sub-studies like this (2 seperate PECOT studies)

24
Q

If allocated randomly to EG & CG

A

adjustment usually necessary

25
Measuring the truth
1. because in biology the study participants are moving targets 2. because we can never study everybody we can only study a sample of all the people we would like to include in a study
26
2. even identically
even identically designed & implemented studies will never include identical participants with identical characterstics
27
Goal of epidemiology
EGO CGO effects (rr and rd) in the whole population
28
Goals of epidemiology 2
but we usually estimate disease occurrence (ego & cgo) & effects (rr & rd) in 1 or 2 samples from population
29
95% confidence interval addition
assumes no non-random error in ramboman wider confidence interval = more uncertainty if 95% Cls for the RD (EGO-CGO) overlaps 0, no statistically significant difference if 95% Cls for the RR (EGO/CGO) overlaps with 1, there is probably no statistically significant difference between them
30
RCT & COHORT
can be longitudinal studies, both arrow going down and across for time
31
cross sectional
only prevalence so only one arrow going across
32
rct
experimental study
33
cohort and cross sectional
observational study
34
systematic review
1. REVIEW the literature SYSTEMATICALLY to FIND all relevant studies (a lot of pecot) 2. assess the quality of studies and only KEEP the good ones (only few pecot) usually done for rcts because most rcts are small
35
systematic review step 3
COMBINE results of good studies in a META ANALYSIS
36
Strengths & Weaknesses of IP RCT
37
Strengths & Weaknesses of IP cohort studies
38
Strengths & Weaknesses of IP cross-sectional studies
39
population health epidemiology:
build fence (prevent) on clifftop for people still healthy