Week 2 Flashcards

1
Q

What refers to the study of the occurrence of and distribution of health related states or events in specialized populations?
A: nosology
B: epidemiology
C: susceptibility
D: biological plausibility

A

B

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2
Q

Who is believed to be the first person to notice and record the relationship between the environment and health?
A: Labonté
B: nightingale
C: Epp
D: Hippocrates

A

D

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3
Q

A nurse is working with the school-aged population during the prepathogenesis period. What primary prevention activity would promote the health of this population?
A: case finding children who may have been exposed to a teacher with hep A
B: teaching handwashing and respiratory hygiene
C: Providing antimicrobials for newly diagnosed contacts
D: advocating for testing of STIs at a school based clinic

A

B

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4
Q

A nurse is working with a student nurse and explains that 12% of deaths were from colorectal cancer in 2010. What word is used to describe this type of statistical information?
A: Crude mortality
B: Relative Risk
C: Prevalence
D: Proportional mortality

A

D

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5
Q

What statistic is used to answer the question “how likely am I to die from this disease?”
A: case-fatality rate
B: Specific mortality rate
C: relative risk
D: incidence

A

A

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6
Q

A nurse in a large urban centre is working to provide secondary prevention. What action is the best example of this goal?
A: providing varicella immune globulin to appropriate children after a classmate is diagnosed with chickenpox
B: screening mammography for the early detection of breast cancer
C: routinely immunizing 1 year old children for measles, mumps, and rubella
D. TB testing exposed students at a high school after a student is diagnosed with TB

A

A (but also B I think…)

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7
Q

What is an example of direct transmission?
A: inhaling a droplet from a sneeze
B: shaking a contaminated hand
C: Drinking tainted water
D: touching a contaminated door knob

A

B

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8
Q

PHNs are trying to protect residents in an assisted living home during a flu outbreak. What is an example of a primary prevention initiative?
A: increasing assessments of the ill to identify complications early
B: screening individuals for signs of influenza
C: instructing individuals to sneeze into ones arm
D: administering tamiflu to ill residents

A

C

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9
Q

What type of reporting is flu watch?
A: stats Canada info
B: surveillance data
C: health reports
D: reportable disease

A

B

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10
Q

What is the purpose of epidemiology?
A: the study of the occurrence and distribution of health-related states in specific populations
B: to provide stats to direct health care funding to the appropriate cause
C: to predict and control challenges to population health
D: an area of medicine that deals with the study of the causes of disease in populations

A

C

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11
Q

Which term is used to answer the question “how bad is it?” And to describe the effect of a given disease?
A: survival rate
B: incidence rate
C: prevalence rate
D: mortality rate

A

A

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12
Q

Which of the statements below is true of the epidemiological model?
A: the classic epidemiological model contains four elements: the agent, the host, the environment, and the vector
B: the vector is the contagious or non-contagious force that can begin or prolong a health problem
C: the host is the human being in which the disease occurs
D: the agent is a factor that moves between the host and environment

A

C

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13
Q

Which of the following is included in the most commonly cited criteria for causation?
A: specificity
B: sensitivity
C: qualitative replication
D: Strength of screening

A

A

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14
Q

Which of the following is used to compare the # of deaths from a specific cause within the entire population?
A: specific mortality rate
B: Infant death rate
C: Crude mortality rate
D: relative death rate

A

C

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15
Q

What is the purpose of the haddon’s matrix

A

Combine public health concepts of host, agent, environment, with concepts of primary, secondary, and tertiary prevention

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16
Q

Explain the person-place-time model

A

Vectors to look for associations in illness. Similar to who, what, when, where, how, why in journalism

17
Q

Explain the web of causation model

A

Making a web out of all of the causative factors to look at the big picture, because there is rarely ever 1 causative factor to any disease or illness.

18
Q

What are some data sources CHNs can use in epidemiology

A

Census, vital stats, PHAC, BCCDC, health authority reports/records, municipal reports

19
Q

What is the difference between primordial and primary prevention

A

Primordial involves changing societal structures (basically there has to be policy involved), while primary is reducing risks for a potential problem

20
Q

Screening definition and example

A

Testing of individuals who don’t have symptoms
Rectal exam for prostate cancer

21
Q

What are the issues with screening

A

Reliability, validity, sensitivity, specificity

22
Q

Surveillance definition and example

A

Monitoring of diseases to assess patterns and respond quickly to events that don’t fit the pattern
Monitoring people with influenza

23
Q

What is the difference between association and causation

A

Association: there is a connection, may not necessarily be related
Causation: confirmed cause

24
Q

Mortality rate

25
Q

Crude mortality rate

A

of deaths from a specific cause within the entire population

Ex opioid deaths in BC

26
Q

Specific mortality rate

A

of deaths from a specific cause in a particular subgroup within the whole subgroup

Ex opioid deaths in males in BC

27
Q

Proportional mortality

A

of deaths from a specific cause in a given population for a particular time period compared to that same population and time period

28
Q

Prevalence

A

A specific disease process in a population at one given point in time

29
Q

Incidence

A

Identification of new cases in a population over time

30
Q

Relative risk

A

Divides the incidence of a disease in a population exposed to a known risk factor by the incidence in a population that has not been exposed

31
Q

Point prevalence

A

Situation only at that point in time

32
Q

Period prevalence

A

In a specific amount of time

33
Q

Cumulative/lifetime incidence

A

Occurrence in someone’s life

34
Q

Prognosis rate

A

Describe the effect of a given disease. Calculating the % of people with the disease who have survived (usually in a given time frame)

35
Q

Case fatality rate

A

Dividing the number of people who die from a disease by the number of people who have the disease.