Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
BMC Health Serv Res. 2020 Oct 27;20(1):984. doi: 10.1186/s12913-020-05843-w.
Providing equal treatment for those who have the same need for healthcare, regardless of their socioeconomic and cultural background, has become a shared goal among policymakers who strive to improve healthcare. This study aims to identify the socioeconomic status (SES) inequities in inpatient service utilization based on need among migrants by using a nationally representative study in China.
The data used in this study was derived from the 2014 National Internal Migrant Population Dynamic Monitoring Survey collected by the National Health Commission of China. The sampling frame for this study was taken using the stratified multistage random sampling method. All provincial urban belt and key cities were stratified, and 119 strata were finally determined. We used logistic regression method and Blinder-Oaxaca decomposition and calculated the concentration index to measure inequities of SES in inpatient service utilization based on need. Sample weights provided in the survey were applied in all the analysis and all standard errors in this study were clustered at the strata level.
Of the total internal migrants, 18.75% unmet the inpatient service need. Results showed that inpatient service utilization concentrated among high-SES migrants (Concentration Index: 0.036, p < 0.001) and the decomposition results suggested that about 44.16% of the total SES gap in inpatient service utilization could be attributed to the gradient effect. After adjusting for other confounding variables, those had high school degree and university degree were more likely to meet the inpatient services need, and the OR values were 1.48 (95% CI 1.07, 2.03, p = 0.017) and 2.04 (95% CI 1.45, 2.88, p = 0.001), respectively. The OR values for Quartile 3 and Quartile 4 income groups was 1.28 (95% CI 1.01, 1.62, p = 0.044) and 1.37 (95% CI 1.02, 1.83, p = 0.035), respectively.
This study observed an inequity in inpatient service utilization where the utilization concentrates among high SES migrants. It is important for policy makers to be aware of them and more intervention should be conducted.
为有相同医疗需求的人提供平等的待遇,无论其社会经济和文化背景如何,这已成为政策制定者改善医疗服务的共同目标。本研究旨在通过在中国进行的一项全国性代表性研究,确定基于需要的移民住院服务利用的社会经济地位(SES)不平等。
本研究使用的数据来自中国国家卫生健康委员会于 2014 年进行的全国内部移民人口动态监测调查。本研究的抽样框架采用分层多阶段随机抽样方法。所有省级城市带和重点城市都进行了分层,最终确定了 119 个层次。我们使用逻辑回归方法和 Blinder-Oaxaca 分解,并计算集中指数来衡量基于需要的住院服务利用中的 SES 不平等。调查中提供的样本权重应用于所有分析,本研究中的所有标准误差均在层次水平上聚类。
在总内部移民中,有 18.75%的人未满足住院服务需求。结果表明,住院服务利用集中在高 SES 移民中(集中指数:0.036,p<0.001),分解结果表明,住院服务利用中 SES 总差距的约 44.16%可归因于梯度效应。在调整其他混杂变量后,具有高中学历和大学学历的人更有可能满足住院服务需求,OR 值分别为 1.48(95%CI 1.07,2.03,p=0.017)和 2.04(95%CI 1.45,2.88,p=0.001)。第 3 季度和第 4 季度收入组的 OR 值分别为 1.28(95%CI 1.01,1.62,p=0.044)和 1.37(95%CI 1.02,1.83,p=0.035)。
本研究观察到住院服务利用中的不平等现象,即利用集中在高 SES 移民中。政策制定者需要意识到这一点,并应进行更多干预。