Back to Search
Start Over
Geographic variation in health insurance benefits in Qianjiang District, China: a cross-sectional study
- Source :
- International Journal for Equity in Health, Vol 17, Iss 1, Pp 1-9 (2018), International Journal for Equity in Health
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Background Health insurance contributes to reducing the economic burden of disease and improving access to healthcare. In 2016, the Chinese government announced the integration of the New Cooperative Medical Scheme (NCMS) and Urban Resident Basic Medical Insurance (URBMI) to reduce system segmentation. Nevertheless, it was unclear whether there would be any geographic variation in health insurance benefits if the two types of insurance were integrated. The aim of this study was to identify the potential geographic variation in health insurance benefits and the related contributing factors. Methods This cross-sectional study was carried out in Qianjiang District, where the NCMS and URBMI were integrated into Urban and Rural Resident Basic Medical Insurance Scheme (URRBMI) in 2010. All beneficiaries under the URRBMI were hospitalized at least once in 2013, totaling 445,254 persons and 65,877 person-times, were included in this study. Town-level data on health insurance benefits, healthcare utilization, and socioeconomic and geographical characteristics were collected through health insurance system, self-report questionnaires, and the 2014 Statistical Yearbook of Qianjiang District. A simplified Theil index at town level was calculated to measure geographic variation in health insurance benefits. Colored maps were created to visualize the variation in geographic distribution of benefits. The effects of healthcare utilization and socioeconomic and geographical characteristics on geographic variation in health insurance benefits were estimated with a multiple linear regression analysis. Results Different Theil index values were calculated for different towns, and the Theil index values for compensation by person-times and amount were 2.5028 and 1.8394 in primary healthcare institutions and 1.1466 and 0.9204 in secondary healthcare institutions. Healthcare-seeking behavior and economic factors were positively associated with health insurance benefits in compensation by person-times significantly, meanwhile, geographical accessibility and economic factors had positive effects (p
- Subjects :
- Male
Rural Population
China
medicine.medical_specialty
Geographic information system
Urban Population
Geographic Mapping
Health Services Accessibility
03 medical and health sciences
Health insurance
0302 clinical medicine
Theil index
Surveys and Questionnaires
Universal health coverage
Geographic variation
Health care
medicine
Humans
030212 general & internal medicine
Socioeconomics
Socioeconomic status
Cross-sectional study
Health policy
Social policy
Insurance, Health
030505 public health
business.industry
Research
Insurance Benefits
lcsh:Public aspects of medicine
Health Policy
Public health
Public Health, Environmental and Occupational Health
Health services research
lcsh:RA1-1270
Patient Acceptance of Health Care
Cross-Sectional Studies
Geography
Socioeconomic Factors
Female
Self Report
0305 other medical science
business
Subjects
Details
- ISSN :
- 14759276
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- International Journal for Equity in Health
- Accession number :
- edsair.doi.dedup.....32c1f680ef8ec1aa5bf46d9b6e67d21f