TY - JOUR
T1 - Effects of China’s urban basic health insurance on preventive care service utilization and health behaviors
T2 - Evidence from the China health and nutrition survey
AU - Dong, Wanyue
AU - Gao, Jianmin
AU - Zhou, Zhongliang
AU - Bai, Ruhai
AU - Wu, Yue
AU - Su, Min
AU - Shen, Chi
AU - Lan, Xin
AU - Wang, Xiao
N1 - Publisher Copyright:
© 2018 Dong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2018/12
Y1 - 2018/12
N2 - Background Lifestyle choices are important determinants of individual health. Few studies have investigated changes in health behaviors and preventive activities brought about by the 2007 implementation of Urban Resident Basic Health Insurance (URBMI) in China. This study, therefore, aimed to explore whether URBMI has reduced individuals’ incentives to adopt healthy behaviors and utilize preventive care services. Methods Data were drawn from two waves of the China Health and Nutrition Survey. Respondents were categorized according to their insurance situation before and after the URBMI reform in 2006 and 2011. Propensity score matching and difference-in-differences methods were used to measure levels of preventive care and behavior changes over time. Estimations were also made based on gender, self-reported health, and income. Results We found that URBMI implementation did not change residents’ utilization of preventive care services or their smoking habits, drinking habits, or other risky behaviors overall. However, the likelihood of sedentariness did increase by five percentage points. Females tended to be more sedentary while males were less likely to drink soft drinks. Residents with poor self-reported health exercised less while those who reported good health were more likely to be sedentary. Low- and middle-income residents were likely to be sedentary while middle-income people tended to smoke after becoming insured. Conclusion Since URBMI implementation, some unhealthy behaviors like sedentariness have increased among those who were newly insured, and different subgroups have reacted differently. This suggests that the insurance design needs to be optimized and effective measures need to be adopted to help improve people’s lifestyle choices.
AB - Background Lifestyle choices are important determinants of individual health. Few studies have investigated changes in health behaviors and preventive activities brought about by the 2007 implementation of Urban Resident Basic Health Insurance (URBMI) in China. This study, therefore, aimed to explore whether URBMI has reduced individuals’ incentives to adopt healthy behaviors and utilize preventive care services. Methods Data were drawn from two waves of the China Health and Nutrition Survey. Respondents were categorized according to their insurance situation before and after the URBMI reform in 2006 and 2011. Propensity score matching and difference-in-differences methods were used to measure levels of preventive care and behavior changes over time. Estimations were also made based on gender, self-reported health, and income. Results We found that URBMI implementation did not change residents’ utilization of preventive care services or their smoking habits, drinking habits, or other risky behaviors overall. However, the likelihood of sedentariness did increase by five percentage points. Females tended to be more sedentary while males were less likely to drink soft drinks. Residents with poor self-reported health exercised less while those who reported good health were more likely to be sedentary. Low- and middle-income residents were likely to be sedentary while middle-income people tended to smoke after becoming insured. Conclusion Since URBMI implementation, some unhealthy behaviors like sedentariness have increased among those who were newly insured, and different subgroups have reacted differently. This suggests that the insurance design needs to be optimized and effective measures need to be adopted to help improve people’s lifestyle choices.
UR - http://www.scopus.com/inward/record.url?scp=85059278935&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0209890
DO - 10.1371/journal.pone.0209890
M3 - Article
C2 - 30596751
AN - SCOPUS:85059278935
SN - 1932-6203
VL - 13
JO - PLoS ONE
JF - PLoS ONE
IS - 12
M1 - e0209890
ER -