2021
DOI: 10.1186/s12913-021-06328-0
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Rural and urban differences in patient experience in China: a coarsened exact matching study from the perspective of residents

Abstract: Background Patient experience is a key measure widely used to evaluate quality of healthcare, yet there is little discussion about it in China using national survey data. This study aimed to explore rural and urban differences in patient experience in China. Methods Data regarding this study were drawn from Chinese General Social Survey (CGSS) 2015, with a sample size of 9604. Patient experience was measured by the evaluation on healthcare services… Show more

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Cited by 12 publications
(16 citation statements)
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“…Initially, we used the Coarsened exact matching (CEM) method put forward by Iacus et al [ 61 , 62 ] to balance the multidimensional distribution of covariates between the two compared groups (non-caregivers and caregivers), and thereby reduce the explanatory variable’s degree of dependence on the estimation model and further decrease the biases. CEM is a matching method of the class Monotonic Imbalance Bounding (MIB), which shows the basic advantage over other matching methods that the bound on balance for one covariate can be studied and improved in isolation, as this won’t affect any other covariates chosen for balancing [ 62 , 63 ]. It is preferable to other matching procedures (e.g., propensity score matching, PSM) in terms of processing more efficiently and reducing model dependence, estimation error, variance and bias [ 64 ].…”
Section: Methodsmentioning
confidence: 99%
“…Initially, we used the Coarsened exact matching (CEM) method put forward by Iacus et al [ 61 , 62 ] to balance the multidimensional distribution of covariates between the two compared groups (non-caregivers and caregivers), and thereby reduce the explanatory variable’s degree of dependence on the estimation model and further decrease the biases. CEM is a matching method of the class Monotonic Imbalance Bounding (MIB), which shows the basic advantage over other matching methods that the bound on balance for one covariate can be studied and improved in isolation, as this won’t affect any other covariates chosen for balancing [ 62 , 63 ]. It is preferable to other matching procedures (e.g., propensity score matching, PSM) in terms of processing more efficiently and reducing model dependence, estimation error, variance and bias [ 64 ].…”
Section: Methodsmentioning
confidence: 99%
“… 35 36 However, this finding differs from the national situation, where the time for doctor–patient communication is shortened due to the uneven distribution of medical resources and a general increase in the demand for medical services. 37 38 The reasons for our finding may be that only a moderate number of participants are invited to the screening each day after considering each centre’s screening capacity. Moreover, all staff involved in the screening attended training that is regularly organised by the EDTUGCP specialist group to improve the quality of the service processes.…”
Section: Discussionmentioning
confidence: 97%
“…Rural cancer patients were more likely to be diagnosed with cancer after developing symptoms and less likely to visit two or more hospitals than urban ones. This discrepancy is mainly because there are obvious disparities in healthcare resources including infrastructure and human resource between rural and urban areas (18). It was reported that in 2015, the number of health technicians and hospital beds per thousand persons in urban areas was nearly 2.62 times and 2.23 times more than those in rural areas in China, respectively (36).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, patients in rural areas may have less access to specialist medical care, and this should be an important consideration when defining future healthcare investment and policy (37). It is vital to reduce the disparity of healthcare resources between rural and urban areas by improving the capacity of rural healthcare institutions in China (18). During the study period, rural residents were mostly insured by the New Rural Cooperative Medical System, which had less coverage and higher coinsurance rates than the insurance that covered urban employees and residents (19).…”
Section: Discussionmentioning
confidence: 99%
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