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Chamberlain midterm | NR 503 COMPLETE QUESTIONS AND ANSWERS

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Epidemiology - is the science of public health Population Health - focuses on risk, data, demographics, and outcomes. Outcomes - is the end result that follows an intervention aggregate - is a defined population. community - is composed of multiple aggregates data - is complied information Prevalence - measures the existence of a disease. Measures the number of all cases of a disease or attribute in a population at a given time Incidence - measures the appearance of a disease. Measures the occurrence of new events in a population over a period of time. surveillance - is the collection, analysis, and dissemination of data. high-risk - is an increased chance of poor health outcome. Morbidity - is the presence of illness in a population mortality - is related to the tracking deaths in an aggregate vital statistics - statistics on live births, deaths, fetal deaths, marriages and divorces. cases - set of criteria used in making a decision as to whether an individual has a disease or health event of interest Social Justice - the view that everyone deserves equal rights and opportunities —this includes the right to good health Inter-professional collaboration - The 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 - aims 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 - The range of personal, social, economic, and environmental factors that influence health status are known ... risk analysis - the characterization of the potential adverse health effects of human exposures to environmental hazards health disparities - the difference in health statuses between various groups (populations). Sensitivity - measures 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 - (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 - is the probability that subjects with a positive screening test truly have the disease epidemiological triangle - 1. A traditional model of infectious disease causation, known as the Epidemiological 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 - is 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

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NR 503



Chamberlain midterm | NR 503
COMPLETE QUESTIONS AND ANSWERS
Epidemiology - is the science of public health



Population Health - focuses on risk, data, demographics, and outcomes.



Outcomes - is the end result that follows an intervention



aggregate - is a defined population.



community - is composed of multiple aggregates



data - is complied information



Prevalence - measures the existence of a disease. Measures the number of all cases of a disease
or attribute in a population at a given time



Incidence - measures the appearance of a disease. Measures the occurrence of new events in a
population over a period of time.



surveillance - is the collection, analysis, and dissemination of data.



high-risk - is an increased chance of poor health outcome.




NR 503

,NR 503


Morbidity - is the presence of illness in a population



mortality - is related to the tracking deaths in an aggregate



vital statistics - statistics on live births, deaths, fetal deaths, marriages and divorces.



cases - set of criteria used in making a decision as to whether an individual has a disease or
health event of interest



Social Justice - the view that everyone deserves equal rights and opportunities —this includes
the right to good health



Inter-professional collaboration - The 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 - aims 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 - The range of personal, social, economic, and environmental
factors that influence health status are known ...



risk analysis - the characterization of the potential adverse health effects of human exposures to
environmental hazards




NR 503

, NR 503




health disparities - the difference in health statuses between various groups (populations).



Sensitivity - measures 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 - (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 - is the probability that subjects with a positive screening test truly
have the disease



epidemiological triangle - 1. A traditional model of infectious disease causation, known as the
Epidemiological 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 - is 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 - descriptive and analytic



descriptive study AKA Natural history of disease - It is the first step in epidemiology
investigation. Used to describe the distribution of the disease and other health-related states
and events. Describes person place and time. Provided data for program planning, resource




NR 503

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