Economic growth and the geographic maldistribution of health care resources: Evidence from China, 1949-2010

Geographic distribution of hospital beds throughout China: a county-level econometric analysis

“…Gini coefficient analysis suggests that provinces in western China are particularly disadvantaged in this regard. This finding is consistent with previous studies that have looked at regional patterns of healthcare resource distribution [29, 30]. As a key healthcare resource, hospital beds not only inform us about supply-side inputs into the health system, but can also predict demand-side outcomes such as healthcare access.…”

Incidence of dementia and subtypes: A cohort study in four regions in China

“…The observed difference between east and west could be driven by the higher VaD in Beijing where it had high incidence of stroke [31]. Another possible explanation is that there might be more stroke survivors in the east because of more economically developed and better medical care service available there, although need to be approved by further better designed studies [35]. As observed in our study, only modestly elevated AD hazard ratio in eastern as compared with western regions of China.…”

“…As observed in our study, only modestly elevated AD hazard ratio in eastern as compared with western regions of China. Longer life expectancy could be a possible reason for the higher incidence of AD in the east [35], while a statistical effect stemming from the large sample size can not be excluded as well. Previous studies in China were typically single-city studies or studies which enrolled fewer participants living in rural areas [10,12].…”

Regional Maldistribution of China’s Hospitals Based on Their Structural System

“…This paper not only analyzes the reasons of the interregional maldistribution change in two dimensions, but also makes a precise quantification of the CR of each cause. (3) The previous studies mainly analyze the inequality of healthcare resources between inland and areas [18,64], but ignored the inequality within inland or coastal internal areas. Meanwhile, it has not been found that there is research on analysis of inland or coastal internal areas' contribution to the China's regional maldistribution in the field of healthcare resources.…”

“…(1) Measuring RMH: Many studies quantify RMH through per capita or per land beds or physicians [38][39][40][41][42][43]. (2) Looking for the influencing factors and determinants of regional healthcare resource distribution: Economics [12,18], society [11], institution [19,21], and location [14], which all play significant roles in regional healthcare resource distribution. (3) Analyzing the relationship between equal opportunities for healthcare and health outcome inequality: Although people's life expectancy and health are closely related to the extent and quality of healthcare resources available [36], equal opportunities of the access to healthcare resources may not result in the equal health outcome as individual differences [44].…”