mod 2 Flashcards

(38 cards)

1
Q

Epidemiology

A

Study of the distribution and determinants of health-related states or events (ex. disease)
& application of study to the control of diseases and other health problems

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2
Q

Indian Registry

A

People registered under the Indian Act are recognized by the federal government as having Indian status. This means only Indigenous Peoples living in Canada who are registered with the federal government will have their data recorded and counted to inform new policies.

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3
Q

Sovereignty

A

the full right and power of a governing body over itself, without any interference from outside sources or bodies.

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4
Q

Five “D”s of Indigenous Data Colonization

A
  • Disparity
  • Depravation
  • Disadvantage
  • Dysfunction
  • Difference
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5
Q

Indigenous Data Governance

canadian context

A

There are many cases of Indigenous governance over data.
* Example: OCAP (Ownership, Control, Access, and Possession).

Importance of access:
* Enables decisions on why, how, and by whom information is collected, used, and shared.

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6
Q

Incidence

A

Measures how quick new cases of disease rise in a population over a defined period of time

Measure of RISK

2 types: culmative, and IR

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7
Q

Cumulative Incidence (aka incidence proportion)

A

Proportion of population who develop disease over a period of time (measures risk)

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8
Q

culmative incidence equation

A

of new cases of disease over a time period /

total population at risk

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9
Q

Incidence Density Rate (aka Person-Time IR)

A

Length of time people were at risk of disease

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10
Q

prevalence

A

Tells us the number of existing cases of a disease in a given population

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11
Q

prevalence equation

A

number of cases /
total at-risk population

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12
Q

2 types of prevalence

A

1) point prevalence
2) period prevalence

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13
Q

Point prevalence

A

Has disease @ specific point in time
Rarely used

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14
Q

point prevalence equation

A

number oc ases at a specific time /
total population at that time

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15
Q

period prevalence

A

has disease at a defiend period of time

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16
Q

period prevalence equation

A

number of cases at a period to time /
average population during that period of time

17
Q

Reasons for INCREASED at-risk population

A

Births
Immigration

18
Q

Reasons for DECREASED at-risk population

A

High Incidence
High death rate from other causes
Emigration

19
Q

Crude Mortality Rates

A

The count of all the deaths over a specified time period divided by the population at the midpoint of the time period being considered

20
Q

Crude Mortality Rates Equation

A

number of deaths over a time period x 100 000 /
population at midpoint of time period

21
Q

All-Cause Mortality Rate

A

Considers deaths for any reason in the population

22
Q

Cause-Specific Mortality Rate

A

Measures the deaths in a population from a specific

23
Q

Standardization of Mortality Rate

A

Compares mortality in two populations that differ in terms of characteristics that are known to influence mortality (ex. age, sex)
*age is the most common characteristic for standardizing mortality

24
Q

Limitation of Standardization of Mortality Rate

A

In developing countries, it may be hard to obtain reliable data on population mortality because
* Many people die at home
* How people live

25
Relative Risk (RR)
Refers to how many times more likely it is that one group of people will become ill compared to another group Risk = the cumulative incidence of being exposed to an illness Groups = demographic factors (age, group, sex) or exposure to a suspected risk (live within 1km of open water)
26
Relative Risk Equation
relative risk = a/(a+b) **/** c/(c+d)
27
what does A, B, C, and D stand for
a= disease, exposed b= no disease, exposed c= disease, not exposed d= no disease, not exposed
28
RR < 1
the primary interest group has a lower risk of disease
29
RR = 1
the risk of disease is equal in both groups
30
RR > 1
the primary interest group has a higher risk of disease
31
odds ratio
IF you can't calculate incidence (not enough info on entire population) → odds ratio
32
odds ratio equation
odds ratio = a x d / b x c
33
measures burden
* Prevalence & Incidence → poor indicators alone (they don't tell you how many people died from the disease) * Mortality → doesn't indicate anything about the age of specific disease death or quality of life
34
DALY
* used by WHO * measures disease's overall burden, expressed as the cumulative number of years lost due to ill-health, disability, or early death
35
DALY equation
DALY = years lived with disability + years of lost life
36
Years Lived with Disability (YLD)
* Multiplies the number of years a person has a condition that affects their quality of life * Weighted between 0 (perfect health) and 1 (death) to show degreeto which the disease negatively impacts life
37
Years of Lost Life
* Indicates premature mortality * 2 Characteristics * Age of death (life expectancy - average age of death) * An illness that results in early mortality
38
DALY Criticisms
* Examines health through an ableist lens * Weighting disability = insinuates able-bodied people are more valued than those with disabilities * Doesn’t account for age (related to the ability to contribute to society)