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Nr503 Epidemiology Midterm 2026 Core Concept Learning Script

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NR503 EPIDEMIOLOGY MIDTERM 2026 CORE CONCEPT LEARNING SCRIPT

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NR503 EPIDEMIOLOGY MIDTERM 2026 CORE
CONCEPT LEARNING SCRIPT

◉ Cultural competence in nursing consists of four principles.
Answer: Care is designed for the specific client.
Care is based on the uniqueness of the person's culture and includes
cultural norms and values.
Care includes self-employment strategies to facilitate client decision
making to improve health behaviors.
Care is provided with sensitivity and is based on the cultural
uniqueness of clients.


◉ The APN may also use the Kleinman Explanatory Model of Illness
(1978). Below are the questions that can be utilized. Answer: What
do you call your problem?
What do you think caused your problem?
Why do you think it started when it did?
What does your sickness do to you?
What do you fear most about your sickness?
What are the chief problems your sickness has caused you?
What kind of treatment do you think you should receive?
What is the most important result you hope to receive from the
treatment?

,◉ According to Giger and Davidhizer (2000), although cultures
differ, they all have the same basic organizing factors that must be
assessed in order to provide care for culturally diverse patients.
These factors include Answer: communication (verbal and
nonverbal);
personal space;
social organization;
time perception;
environmental control; and
biological variations.


◉ The NCCC uses four major approaches to fulfill its mission,
including Answer: Web-based technical assistance, (2) knowledge
development and dissemination, (3) supporting a community of
learners, and (4) collaboration and partnerships with diverse
groups.


◉ Epidemiological Triad: Answer: host, agent, environment


◉ Genetics Answer: The study of individual genes and their impact
on relatively rare single gene disorders

,◉ Absolute risk Answer: is the probability of an event, such as
illness, injury, or death. Gives no indication of how its magnitude
compares with others


◉ The odds ratio Answer: closely approximates the relative risk if
the disease is rare.


◉ Odds ratio and the relative risk are used Answer: to assess the
strength of association between risk factor and outcome.


◉ How is Attributible risk used Answer: is used to make risk-based
decisions for individuals.


◉ Population-attributable risk measures Answer: are used to form
public health decisions


◉ EGAPP: Answer: Evaluation of Genomic Applications in Practice
and Prevention


◉ GAPPNet Answer: Genomic Applications in Practice and
Prevention Network (established in 2009) is a collaborative
initiative involving partners from across the public health sector
working together to realize the promise of genomics in health care
and disease prevention.

, ◉ GEDDI Answer: Genetics Early Disease Detection Intervention
project (GEDDI) (established in 2009) developed a model strategy
for using clinical, genetic, and family history information to reduce
the risk of disease, death, and disability in affected individuals,
family members, and populations.


◉ HuGENet Answer: Human Genome Epidemiology Network
(HuGENet) (established in 1998) helps translate genetic research
findings into opportunities for preventive medicines and public
health by advancing the synthesis, interpretation, and dissemination
of population-based data on human genetic variation in health and
disease. HuGENet reviews are systematic, peer-reviewed synopses
of the epidemiologic aspects of human genes, including prevalence
of allelic variants in different populations, population-based
information on disease risk, evidence for gene-environment
interaction and quantitative data on genetic tests and services
carried out according to specific guidelines.


◉ NHANES III Answer: DC's Office of Public Health Genomics
(established in 2002) formed a multidisciplinary working group
with members from across CDC. It developed a proposal to measure
the prevalence of selected genetic variants of public health
significance in a representative sample of the U.S. population and to
examine the association between the selected genetic variants and
disease outcomes available in NHANES III data.

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