Terms in this set (78)
Science of public health.
Study of disease within populations & risk factors.
Epidemiology Risk factors are genetic, environmental, social, cultural, or on
some direct action by the individual.
Servers to find the "why" of a disease & then to analyze the
disease screening, treatment, prevention, and monitoring.
population health focuses on risk, data, demographics, and outcomes
Outcomes End result that follows an intervention
Aggregate defined population
, Community Multiple aggregates
Data Compiled information
Existence of a disease.
Prevalence
Number of all cases of the disease
Incidence Measures appearance of a disease over a period of time.
Surveillance Collection, analysis, and dissemination of data.
High-risk An increased chance of poor health outcomes
Morbidity Presence of illness in a population
Mortality Tracking deaths in an aggregate
Vital statistics statistics on live births, deaths, fetal deaths, marriages and divorces
Cases Criterion used to make decisions whether the patient has a disease or
health event
The view that everyone deserves equal economic, political
Social Justice
and social rights and opportunities-including the right to
good health
Collaborative action oriented toward a common goal of
improving quality & safety of patient care.
Inter-professional collaboration
Involves responsibility, accountability, coordination,
communication, cooperation, assertiveness, mutual respect,
and autonomy.
4 goals:
1) attain high-quality lives preventable disease
HP2020 2) achieve health equity, eliminate disparities, improve health of all groups
3) create social and physical environments that promote good health.
4) promote quality of life, healthy development, and health
Range of personal, social, economic, and environmental factors
Determinants of Care
that influence health status
Characterization of the potential adverse health effects of
Risk Analysis
human exposures to environmental hazards
health disparities Differences of health statuses between various populations.
Measures the proportion of actual positives that are correctly identified
Sensitivity
as such (e.g.,
% of sick people who are correctly identified as having the condition)
True negative rate
Specificity
Measures actual negatives that are correctly identified as such
(e.g., % of healthy people who are correctly ID's as not
having the condition)