TY - JOUR
T1 - The profiles of public and private patients in maternal healthcare
T2 - A longitudinal study to examine adverse selection
AU - William, Jananie
AU - Loong, Bronwyn
AU - Chojenta, Catherine
AU - Loxton, Deborah
N1 - Publisher Copyright:
© Institute and Faculty of Actuaries 2019.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In this article, we investigate differences in the profiles of patients within the Australian mixed public-private maternal health system to examine the extent of adverse selection. There are conflicting influences on adverse selection within the private health sector in Australia due to government regulations that incentivise lower risk segments of the population to purchase community-rated private health insurance. We use a two-phase modelling methodology that incorporates statistical learning and logistic regression on a dataset that links administrative and longitudinal survey data for a large cohort of women. We find that the key predictor of private patient status is having private health insurance, which itself is largely driven by sociodemographic factors rather than health-or pregnancy-related factors. Additionally, transitioning between the public-private systems for a subsequent pregnancy is uncommon; however, it is primarily driven by changes in private health insurance when it occurs. Other significant factors when transitioning to the private system for a second pregnancy are hypertension, increased access to specialists and stress related to previous motherhood experiences. Consequently, there is limited evidence of adverse selection in this market, with targeted financial incentives likely outweighing the impact of community rating even during childbearing years where private health service use increases.
AB - In this article, we investigate differences in the profiles of patients within the Australian mixed public-private maternal health system to examine the extent of adverse selection. There are conflicting influences on adverse selection within the private health sector in Australia due to government regulations that incentivise lower risk segments of the population to purchase community-rated private health insurance. We use a two-phase modelling methodology that incorporates statistical learning and logistic regression on a dataset that links administrative and longitudinal survey data for a large cohort of women. We find that the key predictor of private patient status is having private health insurance, which itself is largely driven by sociodemographic factors rather than health-or pregnancy-related factors. Additionally, transitioning between the public-private systems for a subsequent pregnancy is uncommon; however, it is primarily driven by changes in private health insurance when it occurs. Other significant factors when transitioning to the private system for a second pregnancy are hypertension, increased access to specialists and stress related to previous motherhood experiences. Consequently, there is limited evidence of adverse selection in this market, with targeted financial incentives likely outweighing the impact of community rating even during childbearing years where private health service use increases.
KW - Private health insurance
KW - adverse selection
KW - maternal health
UR - http://www.scopus.com/inward/record.url?scp=85067352682&partnerID=8YFLogxK
U2 - 10.1017/S1748499519000083
DO - 10.1017/S1748499519000083
M3 - Article
SN - 1748-4995
VL - 14
SP - 129
EP - 137
JO - Annals of Actuarial Science
JF - Annals of Actuarial Science
IS - 1
ER -