Gap Analysis on Hospitalized Health Service Utilization in Floating Population Covered by Different Medical Insurance ----- Case Study from Jiangsu Province, China
- DOI
- 10.2991/icssed-19.2019.84How to use a DOI?
- Keywords
- floating population, inpatient health utilization, health insurance coverage, Jiangsu China
- Abstract
By analyzing the gap of hospitalization service among floating population in different medical insurance in Jiangsu Province, this paper is to understand the current situation of the utilization of resident health service in the floating population, and to provide the basis for improving the health service utilization in different health insurance. The data of this study were obtained from “the national dynamic monitoring survey of floating population in 2014”. Using descriptive statistical analysis, chi-square test, the paper analyzed the difference of hospitalization service utilization of floating population in different medical insurance in the data of Jiangsu Province in 2014. The proportion of FPMIUE (floating population with medical insurance of urban employee) to get hospitalization were higher than the proportion of other medical insurance (74.76%) and no medical insurance (67.57%), 15.19 and 22.38% (chi-square= 24.958, p = 0.000). The stepwise multiple linear regression analysis results presented that factors, including “Demography” (Age and Marital status) (p<0.01) and “Social structure” (Education, Hukou, Insurance status and Work status) (p<0.01) were significantly associated with the inpatient health utilization of floating population.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Cai Xinzhao AU - Yang Fan AU - Bian Ying PY - 2019/05 DA - 2019/05 TI - Gap Analysis on Hospitalized Health Service Utilization in Floating Population Covered by Different Medical Insurance ----- Case Study from Jiangsu Province, China BT - Proceedings of the 2019 4th International Conference on Social Sciences and Economic Development (ICSSED 2019) PB - Atlantis Press SP - 447 EP - 450 SN - 2352-5398 UR - https://doi.org/10.2991/icssed-19.2019.84 DO - 10.2991/icssed-19.2019.84 ID - Xinzhao2019/05 ER -