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Ding Z, Qu X, Li C. Digital economy and high-quality development of the healthcare industry. Front Public Health 2024; 12:1331565. [PMID: 38282760 PMCID: PMC10820708 DOI: 10.3389/fpubh.2024.1331565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/02/2024] [Indexed: 01/30/2024] Open
Abstract
The high-quality development of the healthcare industry is of great significance for improving people's health and promoting the construction of a harmonious society. This paper focuses on the relationship between the development of China's digital economy and the high-quality development of the healthcare industry. Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically studies whether the development of the digital economy promotes the high-quality development of the healthcare industry. This study finds that the development of digital economy has significantly promoted the high-quality development of the medical and health industry. The results of this study are still valid after a series of robustness tests including variable substitution, sample adjustment, and endogenous problem mitigation. Heterogeneity analysis shows that the effect of this policy is more significant in the eastern region and southern areas. The results of spatial econometric analysis show that the development of digital economy has obvious spatial spillover effect. The research in this paper can provide reference for developing countries to enhance the development level of digital health industry and improve people's lives.
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Affiliation(s)
- Zijing Ding
- School of Economic and Management, Wuhan University, Wuhan, China
| | - Xinyue Qu
- School of Economic and Management, Wuhan University, Wuhan, China
| | - Chen Li
- School of Management, Shanghai University of Engineering Science, Shanghai, China
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Sun S, Jiang L, Zhou Y. Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety. Digit Health 2024; 10:20552076241254194. [PMID: 38812850 PMCID: PMC11135081 DOI: 10.1177/20552076241254194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 05/31/2024] Open
Abstract
Objective This study aims to explore the mediating roles of technological interactivity and technological anxiety in the relationship between perceived usefulness and the willingness to use a smart health device to provide insight into the decision-making process of older adults in relation to the adoption of smart devices. Methods A cross-sectional survey was conducted in Jiangsu, China involving 552 older adults. The study utilized structural equation modeling (SEM) to analyze the relationship between the independent variable 'perceived usefulness' and the dependent variable 'willingness to use.' It also examined the multiple mediating effects of technological interactivity and technological anxiety between the independent and dependent variables. Results The results indicate that the direct effect of perceived usefulness on willingness to use was insignificant. However, technological interactivity completely mediated the relationship between perceived usefulness and willingness to use. Additionally, technological interactivity and technological anxiety were found to have a serial mediating effect on the impact of perceived usefulness on willingness to use smart healthcare devices. Conclusions These findings suggest that increasing older adults' intention to use smart healthcare devices requires not only raising awareness of their usefulness, but also addressing technological anxiety and enhancing the interactivity of these devices to improve the overall user experience.
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Affiliation(s)
- Sheng Sun
- Department of Sociology, School of Law, Jiangnan University, Wuxi, China
| | - Lan Jiang
- Department of Sociology, School of Law, Jiangnan University, Wuxi, China
| | - Yue Zhou
- Department of Sociology, School of Law, Jiangnan University, Wuxi, China
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Shi Q, Yang S, Wang N, Zhang SE, Wang Y, Wu B, Lu X, She Y, Yue Z, Gao L, Zhang Z. An evolutionary game-based simulation study of a multi-agent governance system for smart senior care services in China. BMC Geriatr 2023; 23:871. [PMID: 38114919 PMCID: PMC10729546 DOI: 10.1186/s12877-023-04521-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/26/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND The competing interests of the government, smart senior care technology service providers, and older adults have led to a serious fragmentation of governance in China. This study aims to identify the collaboration mechanisms and evolutionary stabilization strategies for these agents. METHODS An evolutionary game model is developed to analyze the strategic decisions made by the government, smart senior care technology service providers, and older adults. A sensitivity analysis is conducted using data from Anhui Province, China, to verify the effects of relevant parameters on the strategy decisions of each agent. RESULTS The results of the simulation and sensitivity analysis indicated that, first, despite changes in the initial willingness values of the tripartite agents, the system eventually converges on 1. Second, the collaboration mechanism of the tripartite agents in the smart senior care system is related to government incentives, penalties, and subsidies, smart senior care service costs, and the additional benefits provided to smart senior care technology service providers. CONCLUSION The strategy decisions of the government, providers, and older adults interact with each other. To promote collaboration among the tripartite agents and improve governance effectiveness, the government should strengthen the regulations for providers, increase penalties for providers that engage in a breach of trust, provide moderate incentives and subsidies, and control smart senior care service costs.
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Affiliation(s)
- Qiannan Shi
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Shumian Yang
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Na Wang
- Medical Department, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
| | - Shu-E Zhang
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Yanping Wang
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Bing Wu
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Xinyuan Lu
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Yining She
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Zhihao Yue
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Lei Gao
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China
| | - Zhong Zhang
- School of Health Management, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang, China.
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Lee J, Park S, Cho MH, Kang JW, Kim M, Choi S, Kim SG, Choi JH, Han K, Kim CO, Moon IC, Choi M, Jang SN. Development of a web-based care networking system to support visiting healthcare professionals in the community. BMC Health Serv Res 2023; 23:1427. [PMID: 38104086 PMCID: PMC10725602 DOI: 10.1186/s12913-023-10434-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND The role of visiting health services has been proven to be effective in promoting the health of older populations. Hence, developing a web system for nurses may help improve the quality of visiting health services for community-dwelling frail older adults. This study was conducted to develop a web application that reflects the needs of visiting nurses. METHODS Visiting nurses of public health centers and community centers in South Korea participated in the design and evaluation process. Six nurses took part in the focus group interviews, and 21 visiting nurses and community center managers participated in the satisfaction evaluation. Focus group interviews were conducted to identify the needs of visiting nurses with respect to system function. Based on the findings, a web application that can support the effective delivery of home visiting services in the community was developed. An artificial intelligence (AI) algorithm was also developed to recommend health and welfare services according to each patient's health status. After development, a structured survey was conducted to evaluate user satisfaction with system features using Kano's model. RESULTS The new system can be used with mobile devices to increase the mobility of visiting nurses. The system includes 13 features that support the management of patient data and enhance the efficiency of visiting services (e.g., map, navigation, scheduler, protocol archives, professional advice, and online case conferencing). The user satisfaction survey revealed that nurses showed high satisfaction with the system. Among all features, the nurses were most satisfied with the care plan, which included AI-based recommendations for community referral. CONCLUSIONS The system developed from the study has attractive features for visiting nurses and supports their essential tasks. The system can help with effective case management for older adults requiring in-home care and reduce nurses' workload. It can also improve communication and networking between healthcare and long-term care institutions.
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Affiliation(s)
- Jakyung Lee
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Susan Park
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Mi-Hee Cho
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
- Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, Republic of Korea
| | - Ji-Won Kang
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Minkyoung Kim
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
- Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Suhyeon Choi
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Seok-Gyu Kim
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Ji-Hee Choi
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Keumhee Han
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Chang-O Kim
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea
| | - Il-Chul Moon
- Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Moon Choi
- Graduate School of Science and Technology Policy, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Soong-Nang Jang
- Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
- Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, Republic of Korea.
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Yu J, Huang J, Yang Q. Long-Term Adoption or Abandonment of Smart Technology in the Chinese Elderly Home Care Environment: A Qualitative Research Study. Healthcare (Basel) 2023; 11:2440. [PMID: 37685474 PMCID: PMC10486740 DOI: 10.3390/healthcare11172440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 08/20/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
China's rapidly aging population and shortage of care resources have made it difficult for its traditional model to meet the home care needs of the elderly. On this premise, China is implementing home digital health interventions based on smart technology. During implementation, instead of the expected explosion in long-term adoption, there has been a large amount of abandonment. But so far, the relationship between service experience and these behaviors has been ignored. This study aims to explore the reasons for the long-term adoption or abandonment behaviors of technology by elders in the home care environment. A qualitative study was conducted based on Golant's framework of smart technology adoption behaviors among elders. Semi-structured interviews were conducted with 26 elders who are long-term or former users of smart technology in a home care environment, and data from the interviews were analyzed using directed content analysis. This study identified three themes that influence elders' adoption behaviors of smart technology in the home care environment, including immediate effectiveness, long-term usability, and possible collateral damage. The findings indicated that the experience of the elders is the key point that affects long-term adoption behavior. For more elders to use smart technology in the home care environment, it is necessary for the government, technology developers, and nursing institutions to further reform the existing system.
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Affiliation(s)
- Jiahao Yu
- Population Research Institute, Hohai University, Nanjing 211100, China;
| | - Jianyuan Huang
- Population Research Institute, Hohai University, Nanjing 211100, China;
| | - Qi Yang
- Population Research Institute, Nanjing University of Posts and Telecommunications, Nanjing 210042, China;
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Huang Q, Li Y, Wu X, Ge S, Qu Z, Wang A, Tang X. The willingness and influencing factors to choose smart senior care among old adults in China. BMC Geriatr 2022; 22:967. [DOI: 10.1186/s12877-022-03691-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Abstract
Background
Population aging has become an escalating issue in China resulting in increasing healthcare demand. Smart senior care has the potential to help older adults live independently and relieve the pressure of healthcare including home-based care. This study aimed to explore Chinese older adults’ preferred access models and service content of smart senior care and factors affecting their willingness to choose smart senior care.
Methods
This was a cross-sectional study. A total of 760 community-dwelling older adults from Xuzhou, China were included in this study. Their demographics, family support, health status, smart senior care use, and willingness to choose smart senior care were collected. The Chi-square test was used for single factor analysis of each variable. The statistically significant variables were included in the logistics regression model to analyze factors influencing older adults’ willingness to choose smart senior care. The chi-square goodness of fit test was used to analyze the preferred content and access models of smart senior care; the Bonferroni method was used to correct the results.
Results
The finding indicated that participants’ age, number of children, frequency of children visiting parents, adequate senior care, self-reported health, chronic diseases, smartphone use, and attitude toward smart senior care were significantly associated with their willingness to choose the smart senior care (p < 0.05). For smart senior care access models, participants preferred the remote monitoring model, telephone call model, and the community site model over the health smart home model and the smart application platform model. There was no statistical difference among these three preferred access models (p’ > 0.005). Regarding service content, participants desired medical care service the most (p’ < 0.005).
Conclusions
Chinese older adults’ willingness to choose smart senior care is affected by personal, family, health, and other factors. To develop China’s senior care, we should consider their demand and preference for smart senior care. It is important to enrich the content of smart senior care, especially on medical care services, and maintain the dynamic balance between supply and demand using a diverse supply approach.
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Kang HJ, Han J, Kwon GH. The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192013279. [PMID: 36293859 PMCID: PMC9603123 DOI: 10.3390/ijerph192013279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 05/14/2023]
Abstract
With the COVID-19 pandemic, the importance of home health care to manage and monitor one's health status in a home environment became more crucial than ever. This change raised the need for smart home health care services (SHHSs) and their extension to everyday life. However, the factors influencing the acceptance behavior of SHHSs have been inadequately investigated and failed to address why users have the intention to use and adopt the services. This study aimed to analyze the influential factors and measure the behavioral acceptance of SHHSs in South Korea. This study adopted the integrated model of the unified theory of acceptance and use of technology (UTAUT) and task-technology fit (TTF) to understand the behavioral acceptance of SHHSs from users' perceptions and task-technology fit. Multiple-item scales were established based on validated previous measurement scales and adjusted in accordance with SHHS context. Data from 487 valid samples were analyzed statistically, applying partial least square structural equation modeling. The results indicated that the integrated acceptance model explained 55.2% of the variance in behavioral intention, 44.9% of adoption, and 62.5% of the continuous intention to use SHHSs, supporting 11 of the 13 proposed hypotheses. Behavioral intention was positively influenced by users' perceptions on performance expectancy, effort expectancy, social influence, and functional conditions. Task-technology fit significantly influenced performance expectancy and behavioral intention, validating the linkage between the two models. Meanwhile, task characteristics were insignificant to determine task-technology fit, which might stem from complex home health care needs due to the COVID-19 pandemic, but were not sufficiently resolved by current service technologies. The findings implied that the acceptance of SHHSs needs to be evaluated according to both the user perceptions of technologies and the matching fit of task and technology. Theoretically, this study supports the applicability of the integrated model of UTAUT and TTF to the domain of SHHS, and newly proposed the measurement items of TTF reflecting the domain specificity of SHHS, providing empirical evidence during the pandemic era in South Korea. Practically, the results could suggest to the planners and strategists of home health care services how to promote SHHS in one's health management.
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Affiliation(s)
- Hyo-Jin Kang
- Department of Service Design Engineering, Sungshin Women’s University, Seoul 02844, Korea
- Correspondence:
| | - Jieun Han
- Graduate School of Technology and Innovation Management, Hanyang University, Seoul 04763, Korea
| | - Gyu Hyun Kwon
- Graduate School of Technology and Innovation Management, Hanyang University, Seoul 04763, Korea
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He F, Wu Y, Yang J, Chen K, Xie J, Tuersun Y, Li L, Wu F, Kan Y, Deng Y, Zhao L, Chen J, Sun X, Liao S, Chen J. Chinese adult segmentation according to health skills and analysis of their use for smart home: a cross-sectional national survey. BMC Health Serv Res 2022; 22:760. [PMID: 35689205 PMCID: PMC9184334 DOI: 10.1186/s12913-022-08126-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 05/24/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Digital health has become a heated topic today and smart homes have received much attention as an important area of digital health. Smart home is a device that enables automation and remote control in a home environment via the internet. However, most of the existing studies have focused on discussing the impact of smart home on people. Only few studies have focused on relationship between health skills and use of smart home. AIMS To analyze the health skills of Chinese adults and segment them to compare and analyze the use of smart home for each group. METHODS We used data from 11,031 participants aged 18 and above. The population was clustered based on five health skills factors: perceived social support, family health, health literacy, media use, and chronic diseases self-behavioral management. A total of 23 smart homes were categorized into three sub-categories based on their functions: entertainment smart home, functional smart home, and health smart home. We analyzed demographic characteristics and utilization rate of smart home across different cluster. Each groups' features and the differences in their needs for smart home functions were compared and analyzed. RESULTS As a result of the survey on health skills, three groups with different characteristics were clustered: good health skills, middle health skills, and poor health skills. The utilization rate of smart home was the highest was good health skills group (total smart home: 92.7%; entertainment smart home: 61.1%, functional smart home: 77.4%, and health smart home: 75.3%; P < 0.001). For entertainment smart home, smart TV had the highest utilization rate (good health skills: 45.7%; middle health skills: 43.5%, poor health skills: 33.4%, P < 0.001). For functional smart home, smart washing machine (good health skills: 37.7%, middle health skills: 35.11%, poor health skills: 26.5%; P < 0.001) and smart air conditioner (good health skills: 36.0%, middle health skills: 29.1%, poor health skills: 24.6%) were higher than other of this category. For health smart home, sports bracelet has the highest utilization rate (good health skills: 37.3%, middle health skills: 24.5%, poor health skills: 22.8%). CONCLUSION People can be divided into different categories based on health skill profiles, those with good health skills had a better utilization rate of smart home. The government and smart home companies need to focus on people with poor smart home use in various ways to promote their use of smart homes for personal health management.
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Affiliation(s)
- Feiying He
- Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Yibo Wu
- School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing City, China
| | - Jiao Yang
- School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Keer Chen
- School of Public Health, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Jingyu Xie
- School of Public Health, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Yusupujiang Tuersun
- School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Lehuan Li
- School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Fangjing Wu
- School of Public Health, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Yifan Kan
- School of Public Health, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Yuqian Deng
- Xiangya School of Nursing, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha City, Hunan Province, China
| | - Liping Zhao
- The Second Xiangya Hospital, Central South University, No.139 Renmin Road, Changsha City, Hunan Province, China
| | - Jingxi Chen
- School of Languages and Communication Studies of Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing City, China
| | - Xinying Sun
- School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing City, China
| | - Shengwu Liao
- Department of Health Management, Southern Hospital of Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong, China.
| | - JiangYun Chen
- School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China.
- Institute of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou City, Guangdong Province, China.
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