HM 101 Module 3 Flashcards
self-reporting
may help identify unrecognized or unusual events
uncontrollability effect
hazards that are out of one’s control are perceived as more threatening
6 elements of health data and communications:
collect
compile
present
perceive
combine
decision making
perceive
where recipients of the public health information comprehend and react
seven quantitative sources of public health data (the 7 S’s)
Single case/small series
statistics/reportable diseases
surveys/sampling
self-reporting
sentinel monitoring
syndromic surveillance
social media
statistics/reportable disease
required by law: birth/deaths are key to defining leading causes of disease; reportable disease may be helpful in identifying changes over time
surveys/sampling
drawing conclusions about overall population and subgroups from representative samples
sentinel monitoring
early warnings/warning of previously unrecognized events
five measures of a population’s public health
infant mortality rate
under 5 mortality
life expectancy
health adjustment life expectancy (HALE)
disability adjusted life years (DALY)
under 5 mortality
ability of children to survive until their fifth birthday
life expectancy
includes multiple factors that may cause unnecessarily short lifespans in a population when compared to others
health adjustment life expectancy (HALE)
takes into account mortality and morbidity; adjust overall life expectancy by the amount of time lived in less than perfect conditions
what factors affect how we perceive potential harms/benefits?
dread effect
unfamiliarity effect
uncontrollability effect
dread effect
hazards that easily produce very visual and feared consequences
unfamiliarity effect
hazards we lack experience with may elicit more fear
public health informatics
the systematic application of information, computer science, and technology in areas of public health, including surveillance, prevention, preparedness, and health promotion
applications of public health informatics
promoting health of the whole population
preventing diseases and injuries by changing the conditions that increase the risk of the population
collect
where raw health data are generated
complete
where raw data are combined for analysis and interpretation
present
where public health knowledge is presented
combine
where other health data are combined to create a fuller understanding
decision making
where informed choices are made
Single case/small series
alert to new diseases or resistant disease; alert to potential spread beyond initial point
Syndromic surveillance
may be able to detect unexpected and subtle changes, such as bioterrorism producing commonly occurring symptoms