1
, 3. Can you explain what “descriptive epidemiology” means? What is the purpose?
How is it used?
Concerned with characterizing the amount and distribution of health and disease
within a population. Through the process of looking at rates, incidence,
prevalence, mortality, survival, and prognosis we have and understanding of a
disease and knowledge of how illnesses and diseases are distributed, what
populations are impacted, and how populations differ. Also what interventions
would be best for who.
4. How are causation and descriptive epidemiology related, how do they work
together to aid evidence-based care?
Descriptive epidemiology is used to determine causation. Applying strong
epidemiologic methods with a sound application and interpretation of statistics
are the foundation for evidence-based practice. Practitioners cannot just collect
data but also look at the theoretical issues associated with explaining the
relationships among variables.
5. What does “causation” mean? Can you relate causation to primary, secondary
and tertiary interventions?
Causation means the conditions that play an essential part in producing the
occurrence of a disease or identifying the cause of a disease both modifiable and
nonmodifiable in order to prevent the disease or its consequences.
Understanding the causation of a disease provides APNs with the knowledge
that is required to design programs or interventions that target populations at risk,
or developing primary, secondary, and tertiary interventions for specific disease
processes.
6. Are you able to discuss “surveillance” and its relationship to “causation”?
Surveillance is the collection, analysis, and dissemination of data pertaining to the
occurrence of a disease. In order to know what causes diseases, we must use
surveillance.
Week 3
1. Can you talk about the ways bias shows up in a study design (such as, selection
bias) etc.?
Bias occurs when the selected subjects are not representative of the population
of interest or representative of the comparison group. This bias(selection of
subjects) can make it appear that there is or is not an association between an
exposure and an outcome.
, 3. Can you explain what “descriptive epidemiology” means? What is the purpose?
How is it used?
Concerned with characterizing the amount and distribution of health and disease
within a population. Through the process of looking at rates, incidence,
prevalence, mortality, survival, and prognosis we have and understanding of a
disease and knowledge of how illnesses and diseases are distributed, what
populations are impacted, and how populations differ. Also what interventions
would be best for who.
4. How are causation and descriptive epidemiology related, how do they work
together to aid evidence-based care?
Descriptive epidemiology is used to determine causation. Applying strong
epidemiologic methods with a sound application and interpretation of statistics
are the foundation for evidence-based practice. Practitioners cannot just collect
data but also look at the theoretical issues associated with explaining the
relationships among variables.
5. What does “causation” mean? Can you relate causation to primary, secondary
and tertiary interventions?
Causation means the conditions that play an essential part in producing the
occurrence of a disease or identifying the cause of a disease both modifiable and
nonmodifiable in order to prevent the disease or its consequences.
Understanding the causation of a disease provides APNs with the knowledge
that is required to design programs or interventions that target populations at risk,
or developing primary, secondary, and tertiary interventions for specific disease
processes.
6. Are you able to discuss “surveillance” and its relationship to “causation”?
Surveillance is the collection, analysis, and dissemination of data pertaining to the
occurrence of a disease. In order to know what causes diseases, we must use
surveillance.
Week 3
1. Can you talk about the ways bias shows up in a study design (such as, selection
bias) etc.?
Bias occurs when the selected subjects are not representative of the population
of interest or representative of the comparison group. This bias(selection of
subjects) can make it appear that there is or is not an association between an
exposure and an outcome.
