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Cui C, Zhang Y, Ding R, He P. Impact of the Essential Public Health Service program on financial protection and health outcomes among hypertensive patients: A quasi-experimental study in China. Soc Sci Med 2024; 345:116705. [PMID: 38422688 DOI: 10.1016/j.socscimed.2024.116705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 01/24/2024] [Accepted: 02/19/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND The Chinese government launched the Essential Public Health Service (EPHS) program nationwide in 2009. However, prior studies have not provided clear and integrated evidence on whether the EPHS program improves health outcomes and prevents financial risks among individuals. Because hypertension is the chronic disease with the highest prevalence, this study evaluated the impact of the EPHS program among hypertensive patients to provide evidence for the progress of the program. METHODS A cohort of hypertensive patients was identified from the 2011-2018 China Health and Retirement Longitudinal Study (CHARLS). The outcomes assessed included hospitalization expenditure, outpatient expenditure and cardiovascular disease (heart attack and stroke). The key independent variable was whether an individual received EPHS-covered blood pressure measurements in 2013-2015. Based on the International Health Partnership+ (IHP+) common monitoring and evaluation (M&E) framework, a difference-in-differences (DID) method with propensity score matching (PSM) was used to examine the impact of the EPHS program on hypertensive patients. RESULTS The results showed that among hypertensive patients covered by the EPHS program, outpatient total costs/OOP costs were reduced by 29.8% and 30.8%, respectively, and hospitalization total costs/OOP costs were reduced by 34.9% and 35.6%, respectively. The EPHS program reduced the probability of heart attack and stroke among hypertensive patients by 3.5% and 2.7%, respectively. Mechanistic tests showed that the EPHS program improved health outcomes by reducing alcohol consumption and increasing physical activity, thereby further reducing health expenditure among hypertensive patients. The impacts of the EPHS program on hypertensive patients varied by age, educational attainment, residential region, and alcohol consumption status. CONCLUSION The EPHS program in China significantly improved health outcomes and prevented financial risks for hypertensive patients. This evidence provides a valuable reference for low- and middle-income countries with their essential public health service programs.
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Affiliation(s)
- Chengsen Cui
- School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China; China Center for Health Development Studies, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
| | - Yue Zhang
- School of Accountancy, Central University of Finance and Economics, No.39 South College Road, Haidian District, Beijing, 100081, China.
| | - Ruoxi Ding
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), No.51 Hua Yuan Bei Road, Haidian District, Beijing, 100191, China.
| | - Ping He
- China Center for Health Development Studies, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
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Lv Y, Huang X, Wu J, Xiao X, Ma C, Jiang X, Zhou P, Liu L, Jiang Y, Zou A, Niu H, Sun J, Hou L, Wang X, Dai Y, Peng S, Deng X, Xia H, Guo Y, Wang D, Huang T, Li C, He L, Xiong F, Xiong H, Cao H, Lu J, Liu X, Jian X, Luo W, An Y, Wu Y, Deng K, Kang X, Chen X, Tang B, Li L, Xiang Q. Economic burden attributable to healthcare-associated infections at western China hospitals: 6 Year, prospective cohort study. J Infect 2024; 88:112-122. [PMID: 38135161 DOI: 10.1016/j.jinf.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023]
Abstract
OBJECTIVES Healthcare-associated infections (HAIs) represent a major threat to patient safety and are associated with significant economic burden. Calculating the costs attributable to HAIs is challenging given the various sources of bias. Although HAIs as a reasonably preventable medical harm should have been closely linked to medical insurance incentives, there was little linkage between HAIs and medicare in western China owing to the lack of economic evaluation data. The present study aimed to generate estimates of the attributable costs associated with HAIs and the magnitude of costs growth. METHODS In this cohort study designed horizontally and vertically from 2016 to 2022, we compared outcomes of randomly sampling patients with HAIs and individually matched patients without HAIs in two cohorts at a 6-year interval at 34 hospitals in western China. The primary outcome was the direct medical cost for the entire hospital stay, converted to US dollars ($ for the benchmark year), discounted at 3% annually, and estimated separately in the full analysis set (FAS) and the per protocol set (PPS). We used multiple linear regression to adjust the discounted costs and to assess subgroups effects within each cohort. We nested a dynamic vertical comparison of costs attributable to HAIs between the front and rear cohorts. RESULTS A total of 230 patients with HAIs in 2016 and 204 patients with HAIs in 2022 were enrolled. After a 1:1 match, all 431 pairs were recruited as FAS, of which 332 pairs as PPS met all matching restrictions. Compared to the 2016 cohort in FAS, the patients with HAIs in 2022 had a significantly older age (64.40 ± 16.45 years), higher repeat hospitalization rate (65 [32.02%] of 203), and lower immune function (69 [33.99%] of 203). The discounted costs and adjusted-discounted costs for patients with HAIs in the 2022 cohort were found to be significantly higher than those of patients without HAIs (discounted costs: $5484.60 [IQR 8426.03] vs $2554.04(4530.82), P < 0.001; adjusted-discounted costs: $5235.90 [3772.12] vs $3040.21(1823.36), P < 0.001, respectively), and also higher than those of patients with HAIs in the 2016 cohort (discounted costs: $5484.60 [8426.03] vs $3553.00 [6127.79], P < 0.001; adjusted-discounted costs: $5235.90 [3772.12] vs $3703.82 [3159.14], P < 0.001, respectively). In vertical comparison of PPS, the incremental costs of the 2022 cohort are 1.48 times higher than those of the 2016 cohort ($964.63(4076.15) vs $652.43 [2533.44], P = 0.084). CONCLUSIONS This meticulously designed study in western China has successfully and accurately examined the economic burden attributable to HAIs. Their rapidly increasing tendency poses a serious challenge to patients, hospitals, and the medical insurance. A closer linkage between HAIs and ongoing motivating system changes is urgently needed in western China.
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Affiliation(s)
- Yu Lv
- Healthcare-associated Infection Control Center, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Xiaobo Huang
- Dean's Office, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Jiayu Wu
- Healthcare-associated Infection Control Center, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Xueqin Xiao
- Healthcare-associated Infection Management Department, West China-Ziyang hospital, Sichuan University, The First People's Hospital of Ziyang, Ziyang 641399, China
| | - Chunhua Ma
- Healthcare-associated Infection Management Department, Mianyang Central Hospital, Mianyang 621099, China
| | - Xiaoyun Jiang
- Healthcare-associated Infection Management Department, Deyang People's Hospital, Deyang 618099, China
| | - Ping Zhou
- Healthcare-associated Infection Management Department, Zigong First People's Hospital, Zigong 643099, China
| | - Linlin Liu
- Healthcare-associated Infection Management Department, People's Hospital of Leshan, Leshan 614003, China
| | - Yiguo Jiang
- Healthcare-associated Infection Management Office, First People's Hospital of Liangshan Yi Autonomous Prefecture, Liangshan 615099, China
| | - Anna Zou
- Healthcare-associated Infection Management Department, First Peoples Hospital of Neijiang, Neijiang 641099, China
| | - Hui Niu
- Healthcare-associated Infection Management Department, Sichuan Science City Hospital, Chengdu 610299, China
| | - Juhua Sun
- Healthcare-associated Infection Management Department, Bazhong Central Hospital, Bazhong 636001, China
| | - Li Hou
- Healthcare-associated Infection Management Department, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621054, China
| | - Xiaomeng Wang
- Healthcare-associated Infection Management Department, The Fourth People's Hospital of Zigong City, Zigong 643099, China
| | - Yulin Dai
- Healthcare-associated Infection Management Department, Leshan Hospital of Traditional Chinese Medicine, Leshan 614003, China
| | - Shuling Peng
- Healthcare-associated Infection Management Department, Bazhong Hospital of Traditional Chinese Medicine, Bazhong 636001, China
| | - Xiaorong Deng
- Healthcare-associated Infection Management Department, Mianyang Hospital of Traditional Chinese Medicine, Mianyang 621053, China
| | - Hong Xia
- Healthcare-associated Infection Management Department, The Second Hospital of Traditional Chinese Medicine in Sichuan Province, Chengdu 610014, China
| | - Yao Guo
- Healthcare-associated Infection Management Department, Sichuan Provincial Judicial Police Hospital, Chengdu 610225, China
| | - Defen Wang
- Healthcare-associated Infection Management Department, Mianyang Orthopaedic Hospital, Mianyang 621052, China
| | - Ting Huang
- Healthcare-associated Infection Management Department, Nanchong Mental Health Center, Nanchong 637000, China
| | - Chunyu Li
- Healthcare-associated Infection Management Department, Yibin Rehabilitation Hospital, Yibin 644002, China
| | - Lirong He
- Healthcare-associated Infection Management Department, The People's Hospital of Xinjin, Chengdu 611430, China
| | - Fengqing Xiong
- Healthcare-associated Infection Management Department, Qionglai Medical Center Hospital, Chengdu 611535, China
| | - Hongmei Xiong
- Healthcare-associated Infection Management Department, Chengdu Longquanyi District Hospital of Traditional Chinese Medicine, Chengdu 610100, China
| | - Hongmei Cao
- Healthcare-associated Infection Management Department, Dayi County People's Hospital, Chengdu 611330, China
| | - Jie Lu
- Healthcare-associated Infection Management Department, Chengdu East New Area Hospital of Integrated Traditional Chinese Medicine, Chengdu 641499, China
| | - Xingfeng Liu
- Healthcare-associated Infection Management Department, Luojiang People's Hospital, Deyang 618599, China
| | - Xiaohong Jian
- Healthcare-associated Infection Management Department, Fushun People's Hospital, Zigong 643299, China
| | - Wanzhen Luo
- Healthcare-associated Infection Management Department, Fushun Hospital of Traditional Chinese Medicine, Zigong 643299, China
| | - Yanmei An
- Healthcare-associated Infection Management Department, Hejiang County People's Hospital, Luzhou 646299, China
| | - Yumei Wu
- Healthcare-associated Infection Management Department, Jiangyou Third People's Hospital, Mianyang 621799, China
| | - Keqin Deng
- Healthcare-associated Infection Management Department, Xingwen County People's Hospital, Yibin 644499, China
| | - Xiaoli Kang
- Healthcare-associated Infection Management Department, Anyue County People's Hospital, Ziyang 642350, China
| | - Xiaorong Chen
- Healthcare-associated Infection Management Department, An County People's Hospital, Mianyang 622651, China
| | - Beibei Tang
- Healthcare-associated Infection Management Department, Yanjiang People's Hospital, Ziyang 641399, China
| | - Li Li
- Healthcare-associated Infection Management Department, Wangcang People's Hospital, Guangyuan 628202, China
| | - Qian Xiang
- Healthcare-associated Infection Control Center, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China
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He W. Does the immediate reimbursement of medical insurance reduce the socioeconomic inequality in health among the floating population? Evidence from China. Int J Equity Health 2023; 22:96. [PMID: 37198632 DOI: 10.1186/s12939-023-01913-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/09/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Enhancing health intervention for floating populations has become an essential aspect of public health around the world. China launched a policy reform aimed at implementing immediate reimbursement for trans-provincial inpatient treatments. The objective of this study was to investigate the effects of this policy change on socioeconomic inequality in health among the floating population. METHODS This study used two waves of individual-level data from the China Migrants Dynamic Survey (CMDS) collected in 2017 and 2018 as well as administrative hospital data at the city level. The sample included 122061 individuals and 262 cities. Under a quasi-experimental research design, we built up the framework to employ the generalized and multi-period difference-in-differences estimation strategy. We used the number of qualified hospitals that could provide immediate reimbursement to represent the degree and intensity of the implementation of this policy change. We also calculated the Wagstaff Index (WI) to measure socioeconomic inequality in health. RESULTS This policy change and income level had a negative joint impact on the health status of floating population (odds ratio = 0.955, P < 0.01), that is, the lower the income, the better the number of qualified hospitals' effect on health improvement. Furthermore, as the number of qualified tertiary hospitals increased, the health inequality would decrease significantly on average at the city level (P < 0.05). In addition, inpatient utilization as well as total expenditure and reimbursement significantly improved after the policy change, and the magnitude of increase was greater in the relatively lower-income group (P < 0.01). Finally, only inpatient spending could obtain immediate reimbursement in the early stage, thus, compared with primary care, these impacts were greater in tertiary care. CONCLUSIONS Our study revealed that after the implementation of immediate reimbursement, the floating population could obtain greater and more timely reimbursement, which significantly increased its inpatient utilization, promoted health, and reduced the health inequality caused by socioeconomic factors. These results suggest that a more accessible and friendly medical insurance scheme should be promoted for this group.
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Affiliation(s)
- Wen He
- School of Public Administration, Hunan University, Lushan Road (S), Yuelu District, Changsha, 410082, China.
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Li Y, Li L, Liu J. The efficient moral hazard effect of health insurance: Evidence from the consolidation of urban and rural resident health insurance in China. Soc Sci Med 2023; 324:115884. [PMID: 37018870 DOI: 10.1016/j.socscimed.2023.115884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 03/28/2023] [Accepted: 03/31/2023] [Indexed: 04/03/2023]
Abstract
Ex post moral hazard, the additional healthcare utilization induced by health insurance, can be decomposed into an efficient portion generated by the income effect and an inefficient portion caused by the substitution effect, which has been discussed theoretically, but few studies have provided evidence of the efficient moral hazard. In 2016, the Chinese government launched the consolidation of urban and rural resident health insurance at the national level. After the consolidation, insurance benefits for nearly 800 million rural residents got improved. This paper uses a nationally-representative sample of 30,972 individuals from the China Health and Retirement Longitudinal Study (2011-2018) and adopts a 2-step empirical approach with the difference-in-differences method and the fuzzy regression discontinuity design to estimate the efficient moral hazard in the consolidation among rural residents. We find that the price shock contained in the consolidation increases inpatient care utilization, and the corresponding price elasticity is between -0.68 and -0.62. Further analysis shows that the efficient moral hazard resulting in welfare gains accounts for 43.33%-66.36% of the additional healthcare utilization. These findings highlight the necessity of evaluating the efficient moral hazard when analyzing the cost-benefit of health insurance reform.
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Affiliation(s)
- Yao Li
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China
| | - Lei Li
- School of Economics, Zhongnan University of Economics and Law, Wuhan, 430073, China.
| | - Junxia Liu
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China
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Chen J, Wang T, Fang Z, Wang H. Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model. Front Public Health 2023; 10:1035398. [PMID: 36699866 PMCID: PMC9868808 DOI: 10.3389/fpubh.2022.1035398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023] Open
Abstract
Introduction As the proportion of the world's elderly population continues to increase, wearable devices can provide ideas for solving a series of problems caused by population aging. Therefore, it is of great significance for the development of intelligent elderly care and the improvement of the quality of elderly care services to explore the factors that influence the intention of elderly users to accept wearable devices. Methods An improved unified theory of acceptance and use of technology (UTAUT) model is constructed from the perspective of elderly individuals, and new parameters are added, including four factors related to wearable devices, including performance expectancy, perceived cost, hedonic value and aesthetic appeal, and three factors related to elderly individuals, including personal physiological conditions, health anxiety and personal innovativeness in information technology. The data analysis was accomplished with the partial least square regression structural equation modeling. Results The findings of this study revealed that performance expectancy, perceived cost, hedonic value and aesthetic appeal all have significant impact on elderly users' intention to use wearable devices. Furthermore, personal innovativeness in information technology, personal physiological condition, and intention to use all have significant impact on elderly users' actual usage behavior of wearable devices. However, there is no obvious relationship between health anxiety and actual usage behavior. Discussion Elderly adults' attention to wearable devices plays an important role in the development of the wearable device-related industry chain, which provides management suggestions for stakeholders.
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Affiliation(s)
- Junxun Chen
- School of Economics and Management, China Jiliang University, Hangzhou, China,Junxun Chen ✉
| | - Tao Wang
- School of Management, Shanghai University, Shanghai, China
| | - Zhenyu Fang
- School of Economics and Management, China Jiliang University, Hangzhou, China
| | - Hongtao Wang
- School of Economics and Management, China Jiliang University, Hangzhou, China,*Correspondence: Hongtao Wang ✉
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