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Community Characteristics and Qualified Health Plan Selection during the First Open Enrollment Period.


ABSTRACT:

Objective

To examine state and community factors that contributed to geographic variation in qualified health plan selection during the first open enrollment period.

Data sources/study setting

Administrative data on qualified health plan selections at the ZIP code area merged with survey estimates from the American Community Survey.

Study design

Descriptive and regression analyses.

Data collection/extraction methods

Data were generated by healthcare.gov and from a household survey.

Principal findings

Thirty-one percent of the variation in qualified health plan selection ratios resulted from between-state differences, and the rest was driven by local area differences. Education, language, age, gender, and the ethnic composition of communities contributed to disparate levels of plan selection. Medicaid expansion states had a qualified health plan selection ratio that was 4.4 points lower than non-Medicaid expansion states, controlling for covariates.

Conclusions

Our results suggest community-level differences in the intensity or receptiveness to outreach and enrollment activities during the first open enrollment period.

SUBMITTER: Boudreaux M 

PROVIDER: S-EPMC5441505 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Publications

Community Characteristics and Qualified Health Plan Selection during the First Open Enrollment Period.

Boudreaux Michel M   Blewett Lynn A LA   Fried Brett B   Hempstead Katherine K   Karaca-Mandic Pinar P  

Health services research 20160628 3


<h4>Objective</h4>To examine state and community factors that contributed to geographic variation in qualified health plan selection during the first open enrollment period.<h4>Data sources/study setting</h4>Administrative data on qualified health plan selections at the ZIP code area merged with survey estimates from the American Community Survey.<h4>Study design</h4>Descriptive and regression analyses.<h4>Data collection/extraction methods</h4>Data were generated by healthcare.gov and from a ho  ...[more]

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