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Using Local Health Data to Identify Disparities in King County

Explore King County's surprising findings on smoking disparities compared to other metro areas, revealing advantages and challenges in different populations. Learn about methodology, take-home messages, current initiatives, and contact for advice.

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Using Local Health Data to Identify Disparities in King County

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  1. Using Local Health Data to Identify Disparities in King County Analysis: Eva Wong, Mike Smyser Presenter: Susan Kinne Assessment, Policy Development and Evaluation Unit Public Health-Seattle & King County

  2. Background(apologies for acronyms) • PHSKC applied for ARRA health promotion grants • King County smoking rates very low: so why fund us? • Looked at disparities in smoking compared to those of other metro counties • Surprising findings! • Unfinished work; start of the discussion

  3. Methodology • Used Behavioral Risk Factor Surveillance Survey (BRFSS) data for the county • Examined smoking rates by race and ethnicity (African/American non-Hispanic vs White non-Hispanic) • Computed rate ratios: 1 rate divided by another • More advantaged group is the denominator or “reference group”

  4. Rate Ratio Ranks for Some Indicators

  5. Take-home messages: compared to other large counties… • King County’s low overall smoking rates are driven by its relatively advantaged population • Majority white, well-off, highly educated population is smoking less • Minority non-white population has very different profile • All information supports focus on disadvantaged populations • King County was funded by ARRA

  6. What We’re Doing Now • Running different disparity indicators on a few variables • Identifying underlying philosophical differences among indicators • Deciding which disparity indicators suit our needs

  7. Advice and opinions appreciated Susan.kinne@kingcounty.gov

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