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NR 503 Chamberlain midterm revision questions and answers (94) Multiple choice questions.
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NR 503 Chamberlain mid term revision questions and answers|94 Multiple choice questions
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Name: Score:94 Multiple choice questions
Definition 1 of 94
1. Necessary and sufficient (rare)- a factor is both necessary (disease will appear only if the
factor is present) and sufficient (exposure always cause disease).
2. Necessary but not sufficient: more than one factor is required. Tb is a factor, but even if
present not always the person get sick.
3. Sufficient but not necessary - specific fx can cause disease, but other fx can cause the same
disease. Ex. anemia
4. Neither sufficient nor necessary - specific fx can be combined with other fx to produce
disease. but disease can be produced without the factor.
4 types of casual relationships
Randomized Control Trial
cross- sectional study
cross-sectional study
Definition 2 of 94
Determining whether a screening test is appropriate requires the APRN to address several
aspects of the disease of interest. Screening is neither available nor appropriate for all
diseases. The APRN should evaluate the success of screening programs by looking at a variety
of outcomes.
What is the highest level of data findings? How is evidence appraised?
What determines if a screening test should be used?
Can you talk about the ways bias shows up in a study design (such as, selection bias)
etc?
Where would and NP look to find a screening test?
,Definition 3 of 94
Collection of data. Informational bias can occur when information is not complete or may be
inaccurate. and can mislead the information. For example, blood pressure reading taken from
cuffs that are too small
Selection bias
Confounding bias
Informational bias
Measurement bias
Definition 4 of 94
selection of subjects by status: no
info collected on exposure: current
info collected on disease: current
cross sectional
cohort
retrospective
randomized control trial
,Definition 5 of 94
Causation- helps look at the cause of the issue or disease process. Descriptive epidemiology
focuses on the person, place, and time. An example of how they are intertwined might be a
person who was sick from E. Coli. The physician might look at what the individual ate to
determine what made them sick. For instance, they may have decided to eat from the salad bar
at a local restaurant.
What does "causation" mean? Can you relate causation to primary, secondary and
tertiary interventions?
How are causation and descriptive epidemiology related, how do they work together to
aid evidence-based care?
What is the case-control study and how does it differ (or is it the same) as the cohort
study design?
Can you explain what "descriptive epidemiology" means? What is the purpose? How is it
used?
Definition 6 of 94
selection of subjects by status: exposure
info collected oh exposure: current- pro
past- retro
info collected on disease: pro-future
retro-current
randomized control trial
cohort
cross sectional
incidence
, Definition 7 of 94
1. mortality
2. morbidity
3. epidemic field investigation
4. lab reporting
5. epidemic reporting
6. surveys
7. individual case investigation
8. utilization of biological agents and rugs
9. distribution of animal reservoirs/vectors
10. demographic/environmental data
Determinants of care/health
Sexual contact infection
Ten elements of surveillance
epidemiological triangle
Definition 8 of 94
the difference in health statuses between various groups (populations).
health disparities
social justice
health inequities
morbidity
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