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NR 503 Midterm Exam Study Guide (2025/2026) – Epidemiology, Public Health, and Research Design Concepts

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This updated 2025/2026 NR 503 Midterm Exam Study Guide provides a complete review of epidemiology and public health topics for Chamberlain College of Nursing students. It covers determinants of health, health disparities, social justice, incidence and prevalence, epidemiologic study designs (RCT, cohort, case-control), bias, confounding variables, causation, surveillance, and prevention levels. Designed for MSN and NP learners, this guide simplifies key concepts and provides clear definitions to prepare for success in the NR 503 midterm and final exams.

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Uploaded on
October 17, 2025
Number of pages
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Written in
2025/2026
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NR503 midterm Exam Study Guide
health disparities - differences in health outcomes among groups

Population - A group of individuals that belong to the same species and live in the same
area

How are outcomes measured? - the end result after treatment/intervention that
describes a patients health status

social justice theory - relates advocacy, health disparities and outcomes (equality)

primary intervention - an intervention that occurs before the onset of the disease

secondary intervention - after disease but before symptoms *screening*

health inequity - a difference or disparity in health outcomes that is systematic,
avoidable, and unjust

Social Justice - the defense of human dignity by ensuring that essential human needs
are met and that essential human rights are protected for all people

Campaign for Action - limit health disparities across the nation

Sources of epidemiological data - HP 2020, Quick Health Data Online System, NCHS,
AAMC, Health Equity

Screening and Diagnostic Tests - ** population specific
** should be tested and have available statistics that speak to their specificity,
sensitivity, and + predictive value

Speceficity - Patients DO NOT have disease and were given negative test results

Sensitivity - Patients who DO have disease AND are given positive test results
Sensitive to the truth

+ predictive value - Probability that a person with a + result truly does have the disease

descriptive epidemiology - collection and analysis of data: what, who, where, when,
why/how (causes, risk factors, modes of transportation)

causation - A cause and effect relationship in which one variable controls the changes
in another variable.

tertiary intervention - rehabilitation to the highest level of functioning
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