OBJECTIVES: To aid state and local policymakers, program planners, and community advocates, we created estimates of the percentage of the population lacking health insurance in small geographic areas of California. METHODS: Finally, calibration ensured the consistency and stability of the estimates when they were aggregated. RESULTS: Health insurance coverage among nonelderly persons varied widely across assembly districts, from 10% to 44%. The utility of local-level estimates was most apparent when the variations in subcounty uninsured rates in Los Angeles County (19%-44%) were examined. CONCLUSIONS: Stable and useful estimates of health insurance rates for small areas such as legislative districts can be created through use of multiple sources of publicly available data.
OBJECTIVES: To aid state and local policymakers, program planners, and community advocates, we created estimates of the percentage of the population lacking health insurance in small geographic areas of California. METHODS: Finally, calibration ensured the consistency and stability of the estimates when they were aggregated. RESULTS: Health insurance coverage among nonelderly persons varied widely across assembly districts, from 10% to 44%. The utility of local-level estimates was most apparent when the variations in subcounty uninsured rates in Los Angeles County (19%-44%) were examined. CONCLUSIONS: Stable and useful estimates of health insurance rates for small areas such as legislative districts can be created through use of multiple sources of publicly available data.
Authors: Jennifer S Haas; Lisa B Lee; Celia P Kaplan; Dean Sonneborn; Kathryn A Phillips; Su-Ying Liang Journal: Am J Public Health Date: 2003-12 Impact factor: 9.308
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Authors: Carl D Stevens; David L Schriger; Brian Raffetto; Anna C Davis; David Zingmond; Dylan H Roby Journal: Health Aff (Millwood) Date: 2014-08 Impact factor: 6.301