week 2 Flashcards

1
Q

differentiate between passive and active disease surveillance

A

Passive: by healthcare providers, prone to underreported eg hospital records, primary care/family doctor records, patient or family member interviews

Active: by specific project staff by visiting healthcare facilities, performing interviews, reviewing medical records

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2
Q

t/f we can achieve complete information if we have sufficient resources and a restricted sample

A

no

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3
Q

how can data be misinformed in early stages

A

patient interviews (might choose not to go to doctor), records from primary care would be useful but handwritten

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4
Q

define rates

A

freq of an event in relation to a uni of time (denominator) eg # of deaths per year

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5
Q

define proportions

A

what fraction of the population has the disease eg #of positive COVID tests per 1000

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6
Q

define incidence and the formula

A

of new cases/total pop at risk

measure of risk for new events (new cases of disease)

of new cases/total pop at risk

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7
Q

define cumulative incidence and the formula

A

freq of new cases occurring during a defined time period – risk of developing the disease within this time period

(# of new cases/total pop at risk) x n
n being “incidence per n”

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8
Q

during cumulative incidence, the population must e relatively (open or closed )

A

closed

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9
Q

define person time

A

the total number of time all the individuals spent in the study (py (person years))

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10
Q

what is the relationship between prevalence and incidence

A

Prevalence = incidence x duration of disease

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11
Q

morbidity is related to which two components

A

Incidence and prevalence

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12
Q

incidence per 1000 is 4 cases/year and duration of disease is 3 years thus point prevalence per 1000 is ?

A

12 cases

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13
Q

define prevalence and what is the formula for prevalence per 1000

A

all the people with the disease, regardless of when they developed

(# of cases in time period/pop size at that time) x 1000

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14
Q

distinguish between point and period prevalence

A

Point prevalence: how many people have a disease at a certain time (likely usage of prevalence)
Period prevalence: how many people have had the disease at any point during a certain time period

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15
Q

is lower prevalence good for the population? why or why not?

A

may not be, death lowers prevalence

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16
Q

in some cases, higher prevalence may not be bad. why?

A

Higher prevalence may occur if new treatment lessens the severity (good)

17
Q

state the condition for mortality to be a substitute for incidence

A

If low time between inception and death, mortality can be used as a substitute for incidence

18
Q

what is the formula for mortality rate for all causes and for proportionate mortality (%)

A

(total deaths from all causes in 1 y/pop size at the midpoint of the year) x 1000

(# of deaths from spec cause in time/all deaths during that time) x 100

19
Q

for the following conditions, state how the formula for mortality is changed
1. if you want specific cause of death
2. if you want specific segments of time

A
  1. If specific cause of death, then only numerator restricted
  2. If interested in specific segments then restriction to numerator and denominator
20
Q

define case fatality and the formula

A

Measures the severity or fatality of the disease, mortality is the total pop

of indiv dying during spec time after DO or DD/# of indiv w specified diseases

DO = disease onset
DD = disease diagnosis

21
Q

examine the following: “The incidence rate of a disease is 5x greater in women than in men but the prevalence rates show no sex difference.” what is the best explanation for the following

A

more women could be dying earlier that is why prevalence is low or if the recovery rate is higher in women then it would also explain why there is no diff

22
Q

define years of potential life lost and formula

A

measure of premature mortality and preventable death

standard age - age at death

**then you add them all up for everyone who died from the same cause

23
Q

explain what is a direct age adjustment

A

Direct age adjustment: pretend that both populations follow a standard age distribution, and then apply age specific mortality rates from both populations