This session examines SOA research which looked to combine three data types – medical claims, demorgraphic and geographic hazard – as they relate to recent major hurricane aftermath. The research then looked for effects in immediate and longer-term health outcome categories, asking the following questions:
1. Is there an increase or decrease in the observed rate of instance of defined categories of health conditions in a geographic area after it is affected by an extreme event?
2. If a credible increase or decrease in instance can be observed, is the impact larger or smaller among individuals within different groups across dimensions like age, race, gender, ethnicity, or presence of pre-existing conditions?
3. If a credible increase or decrease in instance can be observed, is the impact larger or smaller in territories across demographic dimensions like income, homeownership, education level, or rural vs urban setting?
This session will be of interest to actuaries who take into account health impact and health care delivery disparities which have or may result, from continued extreme climate events.
Learning Outcomes:
Attend this session and you’ll be able to:
· Evaluate the relationship between medical, demographic and geographic hazard data.
· Determine where and how disparate impacts have existed and evaluate how such impacts may exist in the business cohorts with which they work.
Participate in designing solutions to mitigate these effects.
Track: Spearheading Innovation Through Change