TY - JOUR
T1 - Effect of population size on rural health insurance premiums in the federal employees health benefits program
AU - Barker, Abigail R.
N1 - Publisher Copyright:
© 2019 Project HOPE— The People-to-People Health Foundation, Inc.
PY - 2019/12
Y1 - 2019/12
N2 - In the study of health insurance access and affordability in rural areas, a recurring issue is to understand the challenges that programs based upon the competitive market model, such as the Affordable Care Act’s Marketplaces, may experience in less populated areas. This article analyzes data for 2013–16 from the Federal Employees Health Benefits Program, focusing on premium and enrollment data for “state-specific” plans—which offer insurance policies and set premiums at the regional level. In nonmetropolitan counties, each additional plan enrollee was associated with a $0.10 lower per capita biweekly premium, whereas this effect was trivial in metropolitan counties. Low health care provider counts were not associated with higher premiums in nonmetropolitan areas, nor was the degree of insurer competition an important predictor of premiums. However, there was substantial correlation over time, which suggests that some variables may be viewed less as sources of premium variation and more as influencing long-term premium levels. These findings suggest that small risk pools may contribute to the challenges faced by private plans in rural areas, in which case risk reinsurance is a potential policy solution.
AB - In the study of health insurance access and affordability in rural areas, a recurring issue is to understand the challenges that programs based upon the competitive market model, such as the Affordable Care Act’s Marketplaces, may experience in less populated areas. This article analyzes data for 2013–16 from the Federal Employees Health Benefits Program, focusing on premium and enrollment data for “state-specific” plans—which offer insurance policies and set premiums at the regional level. In nonmetropolitan counties, each additional plan enrollee was associated with a $0.10 lower per capita biweekly premium, whereas this effect was trivial in metropolitan counties. Low health care provider counts were not associated with higher premiums in nonmetropolitan areas, nor was the degree of insurer competition an important predictor of premiums. However, there was substantial correlation over time, which suggests that some variables may be viewed less as sources of premium variation and more as influencing long-term premium levels. These findings suggest that small risk pools may contribute to the challenges faced by private plans in rural areas, in which case risk reinsurance is a potential policy solution.
UR - https://www.scopus.com/pages/publications/85077534911
U2 - 10.1377/hlthaff.2019.00912
DO - 10.1377/hlthaff.2019.00912
M3 - Article
C2 - 31794303
AN - SCOPUS:85077534911
SN - 0278-2715
VL - 38
SP - 2041
EP - 2047
JO - Health Affairs
JF - Health Affairs
IS - 12
ER -