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      Rural and urban differences in patient experience in China: a coarsened exact matching study from the perspective of residents

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          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. Coarsened exact matching (CEM) method was used to balance covariates between the rural and urban respondents. Three thousand three hundred seventy-two participants finally comprised the matched cohort, including 1592 rural residents and 1780 urban residents. Rural and urban differences in patient experience were tested by ordinary least-squares regression and ordered logistic regression.

          Results

          The mean (SD) score of patient experience for rural and urban residents was 72.35(17.32) and 69.45(17.00), respectively. Urban residents reported worse patient experience than rural counterparts (Crude analysis: Coef. = − 2.897, 95%CI: − 4.434, − 1.361; OR = 0.706, 95%CI: 0.595, 0.838; Multivariate analysis: Coef. = − 3.040, 95%CI: − 4.473, − 1.607; OR = 0.675, 95%CI: 0.569, 0.801). Older (Coef. = 2.029, 95%CI: 0.338, 3.719) and healthier (Coef. = 2.287, 95%CI: 0.729, 3.845; OR = 1.217, 95%CI: 1.008, 1.469) rural residents living in western area (Coef. = 2.098, 95%CI: 0.464, 3.732; OR = 1.276, 95%CI: 1.044, 1.560) with higher social status (Coef. = 1.158, 95%CI: 0.756, 1.561; OR = 1.145, 95%CI: 1.090, 1.204), evaluation on adequacy (Coef. = 7.018, 95%CI: 5.045, 8.992; OR = 2.163, 95%CI: 1.719, 2.721), distribution (Coef. = 4.464, 95%CI: 2.471, 6.456; OR = 1.658, 95%CI: 1.312, 2.096) and accessibility (Coef. = 2.995, 95%CI: 0.963, 5.026; OR = 1.525, 95%CI: 1.217, 1.911) of healthcare resources had better patient experience. In addition, urban peers with lower education (OR = 0.763, 95%CI: 0.625, 0.931) and higher family economic status (Coef. = 2.990, 95%CI: 0.959, 5.021; OR = 1.371, 95%CI: 1.090,1.723) reported better patient experience.

          Conclusions

          Differences in patient experience for rural and urban residents were observed in this study. It is necessary to not only encourage residents to form a habit of seeking healthcare services in local primary healthcare institutions first and then go to large hospitals in urban areas when necessary, but also endeavor to reduce the disparity of healthcare resources between rural and urban areas by improving quality and capacity of rural healthcare institutions and primary healthcare system of China.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12913-021-06328-0.

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          Most cited references56

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          Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?

          The Behavioral Model of Health Services Use was initially developed over 25 years ago. In the interim it has been subject to considerable application, reprobation, and alteration. I review its development and assess its continued relevance.
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            A systematic review of evidence on the links between patient experience and clinical safety and effectiveness

            Objective To explore evidence on the links between patient experience and clinical safety and effectiveness outcomes. Design Systematic review. Setting A wide range of settings within primary and secondary care including hospitals and primary care centres. Participants A wide range of demographic groups and age groups. Primary and secondary outcome measures A broad range of patient safety and clinical effectiveness outcomes including mortality, physical symptoms, length of stay and adherence to treatment. Results This study, summarising evidence from 55 studies, indicates consistent positive associations between patient experience, patient safety and clinical effectiveness for a wide range of disease areas, settings, outcome measures and study designs. It demonstrates positive associations between patient experience and self-rated and objectively measured health outcomes; adherence to recommended clinical practice and medication; preventive care (such as health-promoting behaviour, use of screening services and immunisation); and resource use (such as hospitalisation, length of stay and primary-care visits). There is some evidence of positive associations between patient experience and measures of the technical quality of care and adverse events. Overall, it was more common to find positive associations between patient experience and patient safety and clinical effectiveness than no associations. Conclusions The data presented display that patient experience is positively associated with clinical effectiveness and patient safety, and support the case for the inclusion of patient experience as one of the central pillars of quality in healthcare. It supports the argument that the three dimensions of quality should be looked at as a group and not in isolation. Clinicians should resist sidelining patient experience as too subjective or mood-oriented, divorced from the ‘real’ clinical work of measuring safety and effectiveness.
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              Causal Inference without Balance Checking: Coarsened Exact Matching

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                Author and article information

                Contributors
                zzliang1981@163.com
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                13 April 2021
                13 April 2021
                2021
                : 21
                : 330
                Affiliations
                [1 ]GRID grid.43169.39, ISNI 0000 0001 0599 1243, School of Public Policy and Administration, , Xi’an Jiaotong University, ; No. 28 Xianning West Road, Xi’an, 710049 Shaanxi China
                [2 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Health Policy and Management, , Yale University, ; New Haven, CT 06520 USA
                [3 ]GRID grid.43169.39, ISNI 0000 0001 0599 1243, School of Public Health, Health Science Center, , Xi’an Jiaotong University, ; Xi’an, 710061 China
                Article
                6328
                10.1186/s12913-021-06328-0
                8042990
                33388053
                5749d786-e0bd-4a08-9647-446f9eaf4b73
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 25 September 2020
                : 29 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 71874137
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100009996, Shaanxi Province Postdoctoral Science Foundation;
                Award ID: 2017S024
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Health & Social care
                patient experience,rural and urban differences,china,coarsened exact matching

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