Epidemiology - ANSis the science of public health
Population Health - ANSfocuses on risk, data, demographics, and outcomes.
Outcomes - ANSis the end result that follows an intervention
aggregate - ANSis a defined population.
community - ANSis composed of multiple aggregates
data - ANSis complied information
Prevalence - ANSmeasures the existence of a disease. Measures the number of all cases of a
disease or attribute in a population at a given time
Incidence - ANSmeasures the appearance of a disease. Measures the occurrence of new
events in a population over a period of time.
surveillance - ANSis the collection, analysis, and dissemination of data.
high-risk - ANSis an increased chance of poor health outcome.
Morbidity - ANSis the presence of illness in a population
mortality - ANSis related to the tracking deaths in an aggregate
vital statistics - ANSstatistics on live births, deaths, fetal deaths, marriages and divorces.
cases - ANSset of criteria used in making a decision as to whether an individual has a disease
or health event of interest
Social Justice - ANSthe view that everyone deserves equal rights and opportunities —this
includes the right to good health
Inter-professional collaboration - ANSThe idea of sharing and implies collective action oriented
toward a common goal, in this case, improving the quality and safety of patient care. It involves
responsibility, accountability, coordination, communication, cooperation, assertiveness, mutual
respect, and autonomy.
, Healthy People 2020 - ANSaims to reach four overarching goals: 1.Attain high-quality, longer
lives free of preventable disease, disability, injury, and premature death, 2. Achieve health
equity, eliminate disparities, and improve the health of all groups 3.Create social and physical
environments that promote good health for all. 4. Promote quality of life, healthy development,
and healthy behaviors across all life stages.
Determinants of care/health - ANSThe range of personal, social, economic, and environmental
factors that influence health status are known ...
risk analysis - ANSthe characterization of the potential adverse health effects of human
exposures to environmental hazards
health disparities - ANSthe difference in health statuses between various groups (populations).
Sensitivity - ANSmeasures the proportion of actual positives that are correctly identified as such
(e.g., the percentage of sick people who are correctly identified as having the condition)
Specificity - ANS(also called the true negative rate) measures the proportion of actual negatives
that are correctly identified as such (e.g., the percentage of healthy people who are correctly
identified as not having the condition)
Positive predictive value - ANSis the probability that subjects with a positive screening test truly
have the disease
epidemiological triangle - ANS1. A traditional model of infectious disease causation, known as
the Epidemiologic Triad is depicted in Figure 2. The triad consists of an external agent, a host
and an environment in which host and agent are brought together, causing the disease to occur
in the host.
confounding variable - ANSis an "extra" variable that you didn't account for. They can ruin an
experiment and give you useless results. They can suggest there is correlation when in fact
there isn't. They can even introduce bias. That's why it's important to know what one is, and how
to avoid getting them into your experiment in the first place
Study Methods - ANSdescriptive and analytic
descriptive study - ANSdescribes person place and time. Provided data for program planning,
resource planning, and generates a hypothesis. Types include correlational studies, case
reports and studies, and cross-sectional studies.
analytic study - ANSconsists of observational and experimental. Observational include case
control and cohort. Experimental includes random control trial (typically for new drug testing),
field trial (conducted on those who have a high risk of obtained a disease), and community trial
(research is conducted on an entire community or neighborhood). Test a hypothesis.