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Tao C, Chen X, Zheng W, Zhang Z, Tao R, Deng R, Xiong Q. How to promote the hierarchical diagnosis and treatment system: A tripartite evolutionary game theory perspective. Front Psychol 2023; 13:1081562. [PMID: 36687941 PMCID: PMC9849701 DOI: 10.3389/fpsyg.2022.1081562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 12/05/2022] [Indexed: 01/06/2023] Open
Abstract
Due to the disorderly access to medical care and inefficient use of health resources, the advancement of the hierarchical diagnosis and treatment is more valued in promoting health system reform. Hence, this article integrates prospect theory into an evolutionary game model of the local government health departments, the medical institutions, and the patients in the system promotion of the hierarchical diagnosis and treatment. The simulation shows the specific influencing mechanism of the psychological perceived value of game subjects. Then by introducing the stochastic evolutionary game model, the system promotion under different medical cultures is also discussed in detail. The results indicate that for local government health departments, the amount and duration of financial subsidies are the key factors influencing the game system's evolution. For medical institutions, participating in the hierarchical diagnosis and treatment system is relatively beneficial. For patients, the recovery rate in primary hospitals matters more than the cost of treatment. Changes in the risk sensitivity coefficient will cause the equilibrium of the game system to change. However, changes in the loss avoidance factor do not change the equilibrium and only have an impact on the speed of convergence. With the health departments' intervention, patients in rural medical culture are more inclined to support the hierarchical diagnosis and treatment system than those in urban or town medical culture. Therefore, in order to promote the hierarchical diagnosis and treatment system, this article recommends that more attention should be paid to the regulatory role of health departments and the participation improvement of medical institutions and patients.
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Affiliation(s)
- Chunhai Tao
- School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
| | - Xi Chen
- School of Economics and Management, Nanchang University, Nanchang, China,*Correspondence: Xi Chen,
| | - Wenji Zheng
- School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China,Wenji Zheng,
| | - Zehao Zhang
- School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
| | - Ruoyan Tao
- School of Liberal Arts, Macau University of Science and Technology, Taipa, Macau SAR, China
| | - Rui Deng
- School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
| | - Qizhe Xiong
- School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
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Li J, Liang L, Cao S, Rong H, Feng L, Zhang D, Chu S, Jing H, Tong Z. Secular trend and risk factors of 30-day COPD-related readmission in Beijing, China. Sci Rep 2022; 12:16589. [PMID: 36198705 PMCID: PMC9534919 DOI: 10.1038/s41598-022-20884-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 09/20/2022] [Indexed: 11/09/2022] Open
Abstract
Readmission due to chronic obstructive pulmonary disease (COPD) exacerbation contributes significantly to disease burden. Trend in readmission rate among COPD patients in China is not well characterized. We described the secular trend and identify risk factors of COPD-related 30-day readmission in Beijing during 2012–2017. In this retrospective cohort study, we used data from a citywide hospital discharge database in Beijing. We included patients ≥ 40 years with a primary diagnosis of COPD from 2012 to 2017. A total of 131 591 index admissions were identified. COPD-related 30-day readmission was defined as the initial admission with a primary diagnosis of COPD that occurs within 30 days from the discharge date of an index admission. Overall and annual 30-day readmission rates were calculated in the total population and subgroups defined by patient characteristics. We used multivariable logistic models to investigate risk factors for readmission and in-hospital mortality within 30 days. The overall 30-day COPD-related readmission rate was 15.8% (n = 20 808). The readmission rate increased from 11.5% in 2012 to 17.2% in 2017, with a multivariable-adjusted OR (95% CI) for annual change to be 1.08 (1.06–1.09) (P trend < 0.001). The upward trend in readmission rate levelled off at about 17% since 2014. The readmission rate of men was higher and increased faster than women. Comorbid osteoporosis, coronary heart disease, congestive heart failure, and cancer were associated with an increased risk of 30-day COPD-related readmission. The 30-day COPD-related readmission rate in Beijing showed an overall increasing trend from 2012 to 2017. Future efforts should be made to further improve care quality and reduce early readmissions of COPD patients.
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Affiliation(s)
- Jiachen Li
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Lirong Liang
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
| | - Siyu Cao
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Hengmo Rong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Lin Feng
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Di Zhang
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Shuilian Chu
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Hang Jing
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Zhaohui Tong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
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Zhu Y, Li Y, Wu M, Fu H. How do Chinese people perceive their healthcare system? Trends and determinants of public satisfaction and perceived fairness, 2006-2019. BMC Health Serv Res 2022; 22:22. [PMID: 34983522 PMCID: PMC8725557 DOI: 10.1186/s12913-021-07413-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/14/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The public's perception of the health system provides valuable insights on health system performance and future directions of improvement. While China's health care reform was a response to people's discontent in the health care system due to the lack of accessibility and affordability, little is known on changes in public perception of China's health system. This paper examines trends in public perception of the health system between 2006 and 2019 and assesses determinants of public perception in China's health system. METHODS Seven waves of the China Social Survey, a nationally representative survey, were used to examine trends in public satisfaction with health care and perceived fairness in health care. Chi-square tests were used to examine differences across waves. Logistic regression models were used to explore determinants of public perception, including variables on sociodemographic characteristics, health system characteristics, and patient experience. RESULTS Satisfaction with health care increased from 57.76% to 77.26% between 2006 and 2019. Perceived fairness in health care increased from 49.79% to 72.03% during the same period. Both indicators showed that the major improvement occurred before 2013. Sociodemographic characteristics are weakly associated with public perception. Financial protection and perceived medical safety are strongly associated with public perception, while accessibility is weakly associated with public perception. Patient experience such as perceived affordability and quality in the last medical visit are strongly associated with public perception of the health care system, while the accessibility of the last medical visit shows no impacts. CONCLUSION Public satisfaction on health care and perceived fairness in health care in China improved over 2006-2019. The main improvement occurred in accordance with huge financial investments in public health insurance before 2013. Financial protection and perceived quality play significant roles in determining public perception, whereas accessibility and sociodemographic characteristics have limited influence on people's perception of China's health system. To achieve higher satisfaction and a higher sense of fairness in health care, China's health system needs to continue its reforms on hospital incentives and integrated delivery system to control health expenditure and improve health care quality.
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Affiliation(s)
- Yishan Zhu
- National School of Development, Peking University, Beijing, China
| | - Yuanyuan Li
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ming Wu
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Hongqiao Fu
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China.
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Dong S, Millar R, Shi C, Dong M, Xiao Y, Shen J, Li G. Rating Hospital Performance in China: Review of Publicly Available Measures and Development of a Ranking System. J Med Internet Res 2021; 23:e17095. [PMID: 34137724 PMCID: PMC8277410 DOI: 10.2196/17095] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 08/12/2020] [Accepted: 04/30/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In China, significant emphasis and investment in health care reform since 2009 has brought with it increasing scrutiny of its public hospitals. Calls for greater accountability in the quality of hospital care have led to increasing attention toward performance measurement and the development of hospital ratings. Despite such interest, there has yet to be a comprehensive analysis of what performance information is publicly available to understand the performance of hospitals in China. OBJECTIVE This study aims to review the publicly available performance information about hospitals in China to assess options for ranking hospital performance. METHODS A review was undertaken to identify performance measures based on publicly available data. Following several rounds of expert consultation regarding the utility of these measures, we clustered the available options into three key areas: research and development, academic reputation, and quality and safety. Following the identification and clustering of the available performance measures, we set out to translate these into a practical performance ranking system to assess variation in hospital performance. RESULTS A new hospital ranking system termed the China Hospital Development Index (CHDI) is thus presented. Furthermore, we used CHDI for ranking well-known tertiary hospitals in China. CONCLUSIONS Despite notable limitations, our assessment of available measures and the development of a new ranking system break new ground in understanding hospital performance in China. In doing so, CHDI has the potential to contribute to wider discussions and debates about assessing hospital performance across global health care systems.
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Affiliation(s)
- Shengjie Dong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ross Millar
- Health Services Management Centre, University of Birmingham, Birmingham, United Kingdom
| | - Chenshu Shi
- Center for Health Technology Assessment, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Minye Dong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuyin Xiao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Shen
- China Hospital Development Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guohong Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- China Hospital Development Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Lin X, Jian W, Yip W, Pan J. Perceived Competition and Process of Care in Rural China. Risk Manag Healthc Policy 2020; 13:1161-1173. [PMID: 32884377 PMCID: PMC7439494 DOI: 10.2147/rmhp.s258812] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 07/21/2020] [Indexed: 12/28/2022] Open
Abstract
Purpose Although there is much debate about the effect of hospital competition on healthcare quality, its impact on the process of care remains unclear. This study aimed to determine whether hospital competition improves the process of care in rural China. Patients and Methods The county hospital questionnaire survey data and the randomly sampled medical records of bacterial pneumonia patients in 2015 in rural area of Guizhou, China, were used in this study. The processes of care for bacterial pneumonia were measured by the following three measures: 1) oxygenation assessment, 2) antibiotic treatment, and 3) first antibiotic treatment within 6 hours after admission. Hospital competition was measured by asking hospital directors to rate the competition pressure they perceive from other hospitals. Multivariate logistic regression models were employed to determine the relationship between perceived competition and the processes of care for patients with bacterial pneumonia. Results A total of 2167 bacterial pneumonia patients from 24 county hospitals in 2015 were included in our study. Our results suggested that the likelihood of receiving antibiotic treatment and first antibiotic treatment within 6 hours after admission was significantly higher in the hospitals perceiving higher competition pressure. However, no significant relationship was found between perceived competition and oxygenation assessment for patients with bacterial pneumonia. Conclusion This study revealed the role of perceived competition in improving the process of care under the fee-for-service payment system and provided empirical evidence to support the pro-competition policies in China’s new round of national healthcare reform.
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Affiliation(s)
- Xiaojun Lin
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China.,West China Research Center for Rural Health Development, Sichuan University, Chengdu, People's Republic of China
| | - Weiyan Jian
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, People's Republic of China
| | - Winnie Yip
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jay Pan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China.,West China Research Center for Rural Health Development, Sichuan University, Chengdu, People's Republic of China
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Zhang X, Ye Y, Fu C, Dou G, Ying X, Qian M, Tang S. Anatomy of provincial level inequality in maternal mortality in China during 2004-2016: a new decomposition analysis. BMC Public Health 2020; 20:758. [PMID: 32448202 PMCID: PMC7245773 DOI: 10.1186/s12889-020-08830-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 05/01/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The maternal mortality ratio (MMR) is an important indicator of maternal health and socioeconomic development. Although China has experienced a large decline in MMR, substantial disparities across regions are still apparent. This study aims to explore causes of socioeconomic related inequality in MMR at the province-level in China from 2004 to 2016. METHODS We collected data from various issues of the China Health Statistics Yearbook, China Statistics Yearbook, and China Population and Employment Statistics Yearbook to construct a longitudinal sample of all provinces in China. We first examined determinants of the MMR using province fixed-effect models, accounted for socioeconomic condition, health resource allocation, and access to health care. We then used the concentration index (CI) to measure MMR inequality and employed the direct decomposition method to estimate the marginal impact of the determinants on the inequality index. Importance of the determinants were compared based on logworth values. RESULTS During our study period, economically more deprived provinces experienced higher MMR than better-off ones. There was no evidence of improved socioeconomic related inequality in MMR. Illiteracy proportion was positively associated with the MMR (p < 0.01). In contrast, prenatal check-up rate (p = 0.05), hospital delivery rate (p < 0.01) and rate of delivery attended by professionals (p = 0.02) were negatively associated with the MMR. We also find that higher maternal health profile creation rate (p < 0.01) was associated with a pro-poor change of MMR inequality. CONCLUSION Access to healthcare was the most important factor in explaining the persistent MMR inequality in China, followed by socioeconomic condition. We do not find evidence that health resource allocation was a contributing factor.
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Affiliation(s)
- Xinyu Zhang
- Department of Health Economics, School of Public Health, Fudan University, Shanghai, China
| | - Yingfeng Ye
- Department of Health Economics, School of Public Health, Fudan University, Shanghai, China
| | - Chaowei Fu
- Department of Social Medicine, School of Public Health, Fudan University, Shanghai, China.,NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, China
| | - Guanshen Dou
- Department of Health Economics, School of Public Health, Fudan University, Shanghai, China
| | - Xiaohua Ying
- Department of Health Economics, School of Public Health, Fudan University, Shanghai, China. .,NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, China.
| | - Mengcen Qian
- Department of Health Economics, School of Public Health, Fudan University, Shanghai, China. .,NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, China.
| | - Shenglan Tang
- Duke Global Health Institute, Duke University, Durham, USA
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Yip W, Fu H, Chen AT, Zhai T, Jian W, Xu R, Pan J, Hu M, Zhou Z, Chen Q, Mao W, Sun Q, Chen W. 10 years of health-care reform in China: progress and gaps in Universal Health Coverage. Lancet 2019; 394:1192-1204. [PMID: 31571602 DOI: 10.1016/s0140-6736(19)32136-1] [Citation(s) in RCA: 549] [Impact Index Per Article: 109.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/20/2019] [Accepted: 08/23/2019] [Indexed: 01/23/2023]
Abstract
In 2009, China launched a major health-care reform and pledged to provide all citizens with equal access to basic health care with reasonable quality and financial risk protection. The government has since quadrupled its funding for health. The reform's first phase (2009-11) emphasised expanding social health insurance coverage for all and strengthening infrastructure. The second phase (2012 onwards) prioritised reforming its health-care delivery system through: (1) systemic reform of public hospitals by removing mark-up for drug sales, adjusting fee schedules, and reforming provider payment and governance structures; and (2) overhaul of its hospital-centric and treatment-based delivery system. In the past 10 years, China has made substantial progress in improving equal access to care and enhancing financial protection, especially for people of a lower socioeconomic status. However, gaps remain in quality of care, control of non-communicable diseases (NCDs), efficiency in delivery, control of health expenditures, and public satisfaction. To meet the needs of China's ageing population that is facing an increased NCD burden, we recommend leveraging strategic purchasing, information technology, and local pilots to build a primary health-care (PHC)-based integrated delivery system by aligning the incentives and governance of hospitals and PHC systems, improving the quality of PHC providers, and educating the public on the value of prevention and health maintenance.
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Affiliation(s)
- Winnie Yip
- Harvard School of Public Health, Boston, MA, USA.
| | - Hongqiao Fu
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Angela T Chen
- China Health Partnership, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Tiemin Zhai
- China National Health Development Center, Beijing, China
| | - Weiyan Jian
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Roman Xu
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, China
| | - Jay Pan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Min Hu
- School of Public Health, Fudan University, Shanghai, China
| | - Zhongliang Zhou
- School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China
| | - Qiulin Chen
- Institute of Population and Labor Economics, Chinese Academy of Social Sciences, Beijing, China
| | - Wenhui Mao
- Center for Policy Impact in Global Health, Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Qiang Sun
- School of Health Care Management and Key Laboratory of Health Economic and Policy Research of National Health Commission, Shandong University, Jinan, China
| | - Wen Chen
- School of Public Health, Fudan University, Shanghai, China
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