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Srichan C, Danvirutai P, Boonsim N, Namvong A, Surawanitkun C, Ritsongmuang C, Siritaratiwat A, Anutrakulchai S. Non-Invasive Sensors Integration for NCDs with AIoT Based Telemedicine System. SENSORS (BASEL, SWITZERLAND) 2024; 24:4431. [PMID: 39065830 PMCID: PMC11281239 DOI: 10.3390/s24144431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/30/2024] [Accepted: 07/06/2024] [Indexed: 07/28/2024]
Abstract
Thailand's hospitals face overcrowding, particularly with non-communicable disease (NCD) patients, due to a doctor shortage and an aging population. Most literature showed implementation merely on web or mobile application to teleconsult with physicians. Instead, in this work, we developed and implemented a telemedicine health kiosk system embedded with non-invasive biosensors and time-series predictors to improve NCD indicators over an eight-month period. Two cohorts were randomly selected: a control group with usual care and a telemedicine-using group. The telemedicine-using group showed significant improvements in average fasting blood glucose (148 to 130 mg/dL) and systolic blood pressure (152 to 138 mmHg). Data mining with the Apriori algorithm revealed correlations between diseases, occupations, and environmental factors, informing public health policies. Communication between kiosks and servers used LoRa, 5G, and IEEE802.11, which are selected based on the distance and signal availability. The results support telemedicine kiosks as effective for NCD management, significantly improving key NCD indicators, average blood glucose, and blood pressure.
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Affiliation(s)
- Chavis Srichan
- Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand;
| | - Pobporn Danvirutai
- Chronic Kidney Disease Prevention in Northeast Thailand, Khon Kaen University, Khon Kaen 40002, Thailand; (P.D.); (S.A.)
| | - Noppakun Boonsim
- Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand; (N.B.); (A.N.); (C.S.)
| | - Ariya Namvong
- Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand; (N.B.); (A.N.); (C.S.)
- Center of Multidisciplinary Innovation Network Talent (MINT Center), Department of Technology and Engineering, Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand
| | - Chayada Surawanitkun
- Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand; (N.B.); (A.N.); (C.S.)
- Center of Multidisciplinary Innovation Network Talent (MINT Center), Department of Technology and Engineering, Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand
| | | | | | - Sirirat Anutrakulchai
- Chronic Kidney Disease Prevention in Northeast Thailand, Khon Kaen University, Khon Kaen 40002, Thailand; (P.D.); (S.A.)
- Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
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Cui F, Zhang X, He X, Liu D, Shi J, Ye M, Wang L, Chu Y, Zhao J. Clinical applications of telemedicine services using a regional telemedicine platform for cancer treatment: a cross-sectional study. BMC Cancer 2024; 24:808. [PMID: 38973010 PMCID: PMC11229255 DOI: 10.1186/s12885-024-12563-5] [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: 09/02/2023] [Accepted: 06/25/2024] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND Telemedicine is beneficial for improving treatment efficiency and reducing medical expenses of cancer patients. This study focuses on cancer patients participating in teleconsultations through a regional telemedicine platform in China, analyzes the consultation process, and provides references for the clinical application of telemedicine. METHODS We collected information on teleconsultations of cancer patients conducted from 2015 to 2022 through the regional telemedicine platform. Utilizing SPSS 23.0 software, we conducted descriptive analysis to summarize the distribution of patient gender, age, region, and disease types. The ordinal logistic regression analysis was adopted to analyze the factors influencing the waiting time and consultation duration for teleconsultations. RESULTS From 2015 to 2022, a total of 23,060 teleconsultations were conducted for cancer patients via regional telemedicine platform, with an average growth rate of 11.09%. The main types of consultations were for lung cancer, liver cancer, and breast cancer, accounting for 18.14%, 10.49%, and 9.46% respectively. 57.05% of teleconsultations had a waiting time of less than 24 h, while patient age, consultation expert level, and disease type were the main factors influencing the waiting time. 50.06% of teleconsultations had a duration of more than 20 min, and the inviting hospital level and the title of invited consultant were the main factors influencing the consultation duration. CONCLUSIONS In China, telemedicine has been widely employed in the clinical diagnosis and treatment of cancers, covering various types of oncological diseases. However, the waiting time for teleconsultations was generally more than 12 h, indicating the need to enhance consultation scheduling and allocate more expert resources to further optimize the efficiency of teleconsultations. Additionally, further exploration is required for remote health management of outpatients with cancers outside the hospital.
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Affiliation(s)
- Fangfang Cui
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Xu Zhang
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Xianying He
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Dongqing Liu
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Jinming Shi
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Ming Ye
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Linlin Wang
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Yuntian Chu
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China
| | - Jie Zhao
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Erqi District, Zhengzhou, 450052, Henan, China.
- Shanghai Artificial Intelligence Laboratory, Shanghai, China.
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He X, Cui F, Lyu M, Sun D, Zhang X, Shi J, Zhang Y, Jiang S, Zhao J. Key Factors Influencing the Operationalization and Effectiveness of Telemedicine Services in Henan Province, China: Cross-Sectional Analysis. J Med Internet Res 2024; 26:e45020. [PMID: 38180795 PMCID: PMC10799288 DOI: 10.2196/45020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/26/2023] [Accepted: 11/17/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Telemedicine has demonstrated its potential in alleviating the unbalanced distribution of medical resources across different regions. Henan, a province in China with a population of approximately 100 million, is especially affected by a health care divide. The province has taken a proactive step by establishing a regional collaborative platform for telemedicine services provided by top-tier provincial hospitals. OBJECTIVE We aim to identify the key factors that influence the current operationalization and effectiveness of telemedicine services in Henan province. The insights gained from this study will serve as valuable references for enhancing the efficient operation of telemedicine platforms in low- and middle-income regions. METHODS We analyzed service reports from the performance management system of telemedicine services in Henan province throughout 2020. Using descriptive statistics and graphical methods, we examined key influencing factors, such as management competency; device configuration; and hospital capability, capacity, and service efficacy, across hospitals at 2 different tiers. In addition, we used generalized linear models and multiple linear regression models to identify key operational factors that significantly affect the service volume and efficacy of 2 major telemedicine services, namely teleconsultation and tele-education. RESULTS Among the 89 tier 3 hospitals and 97 tier 2 hospitals connected to the collaborative telemedicine platform, 65 (73%) and 55 (57%), respectively, have established standardized management procedures for telemedicine services. As the primary delivery method for telemedicine services, 90% (80/89) of the tier 3 hospitals and 94% (91/97) of the tier 2 hospitals host videoconferencing consultations through professional hardware terminals rather than generic computers. Teleconsultation is the dominant service type, with an average annual service volume per institution of 173 (IQR 37-372) and 60 (IQR 14-271) teleconsultations for tier 3 and tier 2 hospitals, respectively. Key factors influencing the service volume at each hospital include available funding, management competency, the number of connected upper tiers, and the number of professional staff. After receiving teleconsultations from tier 3 (65/89, 73%) and tier 2 (61/97, 63%) hospitals, patients reported significant improvements in their medical conditions. In addition, we observed that service efficacy is positively influenced by management competency, financial incentives, the number of connected upper or lower tiers, and the involvement of participating medical professionals. CONCLUSIONS Telemedicine has become increasingly popular in Henan province, with a notable focus on teleconsultation and tele-education services. Despite its popularity, many medical institutions, especially tier 2 hospitals, face challenges related to management competency. In addition to enhancing the effectiveness of existing telemedicine services, health care decision-makers in Henan province and other low- and middle-income regions should consider expanding the service categories, such as including remote emergency care and telesurgery, which have promise in addressing crucial health care needs in these regions.
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Affiliation(s)
- Xianying He
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fangfang Cui
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Minzhao Lyu
- School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia
| | - Dongxu Sun
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xu Zhang
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinming Shi
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yinglan Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shuai Jiang
- Finance Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Zhao
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Wu Y, Wang X, Zhou M, Huang Z, Liu L, Cong L. Application of eHealth Tools in Anticoagulation Management After Cardiac Valve Replacement: Scoping Review Coupled With Bibliometric Analysis. JMIR Mhealth Uhealth 2024; 12:e48716. [PMID: 38180783 PMCID: PMC10799280 DOI: 10.2196/48716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/20/2023] [Accepted: 12/07/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Anticoagulation management can effectively prevent complications in patients undergoing cardiac valve replacement (CVR). The emergence of eHealth tools provides new prospects for the management of long-term anticoagulants. However, there is no comprehensive summary of the application of eHealth tools in anticoagulation management after CVR. OBJECTIVE Our objective is to clarify the current state, trends, benefits, and challenges of using eHealth tools in the anticoagulation management of patients after CVR and provide future directions and recommendations for development in this field. METHODS This scoping review follows the 5-step framework developed by Arksey and O'Malley. We searched 5 databases such as PubMed, MEDLINE, Web of Science, CINAHL, and Embase using keywords such as "eHealth," "anticoagulation," and "valve replacement." We included papers on the practical application of eHealth tools and excluded papers describing the underlying mechanisms for developing eHealth tools. The search time ranged from the database inception to March 1, 2023. The study findings were reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Additionally, VOSviewer (version 1.6.18) was used to construct visualization maps of countries, institutions, authors, and keywords to investigate the internal relations of included literature and to explore research hotspots and frontiers. RESULTS This study included 25 studies that fulfilled the criteria. There were 27,050 participants in total, with the sample size of the included studies ranging from 49 to 13,219. The eHealth tools mainly include computer-based support systems, electronic health records, telemedicine platforms, and mobile apps. Compared to traditional anticoagulation management, eHealth tools can improve time in therapeutic range and life satisfaction. However, there is no significant impact observed in terms of economic benefits and anticoagulation-related complications. Bibliometric analysis suggests the potential for increased collaboration and opportunities among countries and academic institutions. Italy had the widest cooperative relationships. Machine learning and artificial intelligence are the popular research directions in anticoagulation management. CONCLUSIONS eHealth tools exhibit promise for clinical applications in anticoagulation management after CVR, with the potential to enhance postoperative rehabilitation. Further high-quality research is needed to explore the economic benefits of eHealth tools in long-term anticoagulant therapy and the potential to reduce the occurrence of adverse events.
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Affiliation(s)
- Ying Wu
- Center for Moral Culture, Hunan Normal University, Changsha, China
- School of Medicine, Hunan Normal University, Changsha, China
| | - Xiaohui Wang
- School of Medicine, Hunan Normal University, Changsha, China
| | - Mengyao Zhou
- School of Medicine, Hunan Normal University, Changsha, China
| | - Zhuoer Huang
- School of Medicine, Hunan Normal University, Changsha, China
| | - Lijuan Liu
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China
| | - Li Cong
- School of Medicine, Hunan Normal University, Changsha, China
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Ratcliffe J, Paer J, Quigee D, Carnevale C, Richards P, Lasota E, Dandan N, Scherer M, Gordon P, Cohall A, Sobieszczyk M, Zucker J. Examining Patient Preferences for Express, Telemedicine, and Standard Visits in a Sexual Health Clinic in New York City. Sex Transm Dis 2024; 51:28-32. [PMID: 37921848 PMCID: PMC10842572 DOI: 10.1097/olq.0000000000001895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
ABSTRACT This study, completed at an sexually transmitted infection (STI) clinic in 2019 to 2020, evaluated patient preferences for telemedicine, express, and standard visits. Active PrEP users preferred telemedicine and express visits, patients with prior STIs preferred express visits, and cisgender women preferred standard visits. Configuring STI clinic visit types requires shared decision making and individualization.
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Affiliation(s)
| | | | | | | | - Paul Richards
- Division of Infectious Diseases, Department of Medicine
| | - Elijah Lasota
- Division of Infectious Diseases, Department of Medicine
| | | | | | - Peter Gordon
- Division of Infectious Diseases, Department of Medicine
| | | | | | - Jason Zucker
- Division of Infectious Diseases, Department of Internal Medicine and Pediatrics, Columbia University Medical Center, New York, NY
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Zhao W, Xu F, Diao X, Li H, Lian X, Zhang L, Yin L, Cui Y, Wang Y, Zhao S, Shu T. The Status Quo of Internet Medical Services in China: A Nationwide Hospital Survey. Telemed J E Health 2024; 30:187-197. [PMID: 37437119 DOI: 10.1089/tmj.2023.0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2023] Open
Abstract
Background: Internet medical services (IMS) have been rapidly promoted across China, especially since the outbreak of COVID-19. However, a nationwide study is still lacking. Objective: To unveil the whole picture of IMS across tertiary and secondary hospitals in China, and to evaluate potential influence of the hospital general characteristics, medical staff reserve, and patient visiting capacity on IMS provision. Methods: An online cross-sectional survey was conducted, and 1,995 tertiary and 2,824 secondary hospitals completed questionnaires from 31 administrative regions in China during July 1 and October 31, 2021. Those hospitals are defined having abilities of providing IMS if at least one following service are available: (1) online appointment of diagnoses and treatments; (2) online disease consultation; (3) electronic prescription; and (4) drug delivery. The logistic regression models are used to detect the possible roles on developing IMS. Results: A majority (68.9%) of tertiary hospitals and 53.0% secondary hospitals have provided IMS (p < 0.01). Tertiary hospital also had much higher proportions than secondary hospitals in online appointment of diagnoses and treatments (62.6% vs. 46.1%), online disease consultation (47.3% vs. 16.9%), electronic prescription (33.2% vs. 9.6%), and drug delivery (27.8% vs. 4.6%). In multivariate model, IMS hospitals may be associated significantly with having more licensed doctors (≥161 vs. <161: odds ratio [OR], 1.30; 1.13-1.50; p < 0.01), having more frequency of registration appointments (≥3,356 vs. <3,356: OR, 1.77; 1.54-2.03; p < 0.01), having higher frequency of patient follow-ups (≥1,160 vs. <1,160: OR, 1.36; 1.15-1.61; p < 0.01), having laboratory test appointments (Yes vs. No: OR, 1.25; 1.06-1.48; p = 0.01), and having treatment appointments (Yes vs. No: OR, 1.27; 1.11-1.46; p < 0.01) in the past 3 months. Conclusions: The coverage of IMS is appreciable in China, but the IMS market is still greatly extended and improved. The provision of IMS depends primarily on the scales of the hospitals, including medical staff reserve and patient visiting capacity.
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Affiliation(s)
- Wei Zhao
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fan Xu
- National Institute of Hospital Administration, National Health Commission of the People's Republic of China, Beijing, China
| | - Xiaolin Diao
- Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongxia Li
- National Institute of Hospital Administration, National Health Commission of the People's Republic of China, Beijing, China
| | - Xiaodan Lian
- Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Zhang
- National Institute of Hospital Administration, National Health Commission of the People's Republic of China, Beijing, China
| | - Lu Yin
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Youwen Cui
- Northern Jiangsu People's Hospital, Yangzhou City, China
| | - Yuxin Wang
- Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuai Zhao
- Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ting Shu
- National Institute of Hospital Administration, National Health Commission of the People's Republic of China, Beijing, China
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7
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Shi J, Tan Z, Ma Q, Sun D, Lu Y, Ye M, Wang L, Cui F, He X, Fan Z, Zhao J. Implementation, service effectiveness and satisfaction with teleconsultation services in China during the COVID-19 pandemic: from the Perspective of Primary Health Care Professionals. Int J Med Inform 2023; 178:105202. [PMID: 37651778 DOI: 10.1016/j.ijmedinf.2023.105202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 08/24/2023] [Indexed: 09/02/2023]
Abstract
OBJECTIVE This study aims to evaluate satisfaction and service effectiveness of primary hospital physicians participating in the National Telemedicine Center of China during the COVID-19 period, and to identify potential improvement suggestions. METHODS An online questionnaire was developed to assess the impact and satisfaction of teleconsultation services. A teleconsultation manager from each of the 98 hospitals randomly invited the medical staff involved in teleconsultation to complete the online questionnaire. RESULTS A total of 379 health care professionals responded to the online questionnaire, with a mean age of 36.74 years. Out of these respondents, 95.5% had a positive attitude towards teleconsultation during the epidemic. Only 6.6% believed that teleconsultation systems were not useful in preventing and controlling the COVID-19 pandemic. Those respondents who were very satisfied with teleconsultation participated in it 1.81 times per week averagely. Factors related to satisfaction included weekly participation frequency(P=.003), patient data quality(P=.023), equipment operation proficiency(P=.006), audio and video clarity and smoothness(P=.004, P=.020), environmental satisfaction(P=.032), and incentive measures of title promotion(P=.003). The main challenges in teleconsultation were the lack of understanding of medical staff and the public, insufficiently advanced software and hardware equipment, and the lack of optimization of service processes. CONCLUSIONS Primary hospital doctors demonstrate high satisfaction levels, suggesting that teleconsultation could be an effective tool for patients seeking medical care in areas under lockdown during the COVID-19 pandemic. The primary barriers to teleconsultation include lack of public understanding and unadvanced equipment. These findings should inform future efforts to establish regional telemedicine programs in the post-COVID-19 era.
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Affiliation(s)
- Jinming Shi
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhongke Tan
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qianqian Ma
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dongxu Sun
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaoen Lu
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ming Ye
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Linlin Wang
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fangfang Cui
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xianying He
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhaohan Fan
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Zhao
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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Chen X, Giles J, Yao Y, Yip W, Meng Q, Berkman L, Chen H, Chen X, Feng J, Feng Z, Glinskaya E, Gong J, Hu P, Kan H, Lei X, Liu X, Steptoe A, Wang G, Wang H, Wang H, Wang X, Wang Y, Yang L, Zhang L, Zhang Q, Wu J, Wu Z, Strauss J, Smith J, Zhao Y. The path to healthy ageing in China: a Peking University-Lancet Commission. Lancet 2022; 400:1967-2006. [PMID: 36423650 PMCID: PMC9801271 DOI: 10.1016/s0140-6736(22)01546-x] [Citation(s) in RCA: 157] [Impact Index Per Article: 78.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/07/2022] [Accepted: 08/12/2022] [Indexed: 11/22/2022]
Abstract
Around the world, populations are ageing at a faster pace than in the past and this demographic transition will have impacts on all aspects of societies. In May 2020, the UN General Assembly declared 2021–2030 the Decade of Healthy Ageing, highlighting the importance for policymakers across the world to focus policy on improving the lives of older people, both today and in the future. While rapid population ageing poses challenges, China’s rapid economic growth over the last forty years has created space for policy to assist older persons and families in their efforts to improve health and well-being at older ages. As China is home to 1/5 of the world’s older people, China is often held up as an example for other middle-income countries. This Commission Report aims to help readers to understand the process of healthy ageing in China as a means of drawing lessons from the China experience. In addition, with the purpose of informing the ongoing policy dialogue within China, the Commission Report highlights the policy challenges on the horizon and draws lessons from international experience.
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Affiliation(s)
- Xinxin Chen
- Institute of Social Science Survey, Peking University, Beijing, China
| | | | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Winnie Yip
- Department of Global Health and Population, Harvard University, Boston, MA, USA
| | - Qinqin Meng
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Lisa Berkman
- Harvard Center for Population and Development Studies, Harvard University, Boston, MA, USA; Division of Geriatric Medicine, UCLA, Los Angeles, CA, USA
| | - He Chen
- School of Public Administration and Policy, Renmin University of China, Beijing, China
| | - Xi Chen
- Department of Health Policy and Management, Department of Economics, Yale School of Public Health, New Haven, CT, USA
| | - Jin Feng
- School of Economics, Fudan University, Shanghai, China
| | | | | | - Jinquan Gong
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Perry Hu
- Division of Geriatric Medicine, UCLA, Los Angeles, CA, USA
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Xiaoyan Lei
- National School of Development, Peking University, Beijing, China
| | - Xiao Liu
- School of Labor Economics, Capital University of Economics and Business, Beijing, China
| | - Andrew Steptoe
- Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Gewei Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Harold Wang
- Program in Bioinformatics, UCLA, Los Angeles, CA, USA
| | - Huali Wang
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Xiaoyu Wang
- Institute of Population and Labor Economics, Chinese Academy of Social Sciences, Beijing, China
| | - Yafeng Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Li Yang
- Department of Health Policy and Management, Peking University, Beijing, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital and National Institute of Health Data Science, Peking University, Beijing, China
| | - Quan Zhang
- National School of Development, Peking University, Beijing, China
| | - Jing Wu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Zunyou Wu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - John Strauss
- Department of Economics, University of Southern California, Los Angeles, CA, USA
| | | | - Yaohui Zhao
- National School of Development, Peking University, Beijing, China.
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9
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Zhang W, He D, Wang G, Zhu C, Evans R. Analyzing national telemedicine policies in China from the perspective of policy instrument (1997-2020). Int J Med Inform 2022; 166:104854. [PMID: 35981479 DOI: 10.1016/j.ijmedinf.2022.104854] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/01/2022] [Accepted: 08/10/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND In recent years, the Chinese government has frequently issued policies to promote the rapid development of telemedicine with the aim of improving the primary medical service capacity and public medical conditions in remote areas of China. METHODS A three-dimensional analytical framework was built to analyze the rationality of existing national telemedicine policies, providing valuable insights for the future construction and formulation of telemedicine policy. In total, 271 telemedicine policy documents with 537 policy clauses in relation to telemedicine were identified, and they are subjected to a rigorous analysis from the perspectives of policy instrument, telemedicine development stage, and telemedicine development element. RESULTS China's telemedicine policies have grown rapidly since 1997 and gradually moved towards exploratory stage (9/551, 1.68%), normative stage (93/551, 17.62%), mature stage (239/551, 44.51%), and rapid growth stage (196/551, 36.50%). Meanwhile, the types of telemedicine policy instruments adopted include mandatory tools (360/551, 61.71%), voluntary tools (82/551, 14.88%), information tools (74/551, 13.43%), and economic tools (55/551, 9.98%). The majority of telemedicine policies were related to platform construction, accounting for 45.07% (242/537), while telemedicine policies relating to service operation (20.67%, 111/537), service application (20.86%, 112/537), and organizational management (13.41%, 72/537) were comparatively less. CONCLUSION China's policy instruments have developed from simplification to diversification, from relative imbalance to equilibrium, and the balance between the vertical and horizontal objectives of the policy have also strengthened. However, some policy tools are improperly applied at the policy stage, and there is still room for improvement in the allocation of policy elements.
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Affiliation(s)
- Wei Zhang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Dong He
- Hospital Medical Records Department, Beijing Jishuitan Hospital Guizhou Hospital
| | - Ge Wang
- School of Public Administration, Central China Normal University, China.
| | - Chengyan Zhu
- School of Political Science and Public Administration, Wuhan University, China
| | - Richard Evans
- Faculty of Computer Science, Dalhousie University, Canada
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10
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Gao J, Fan C, Chen B, Fan Z, Li L, Wang L, Ma Q, He X, Zhai Y, Zhao J. Telemedicine Is Becoming an Increasingly Popular Way to Resolve the Unequal Distribution of Healthcare Resources: Evidence From China. Front Public Health 2022; 10:916303. [PMID: 35874991 PMCID: PMC9301261 DOI: 10.3389/fpubh.2022.916303] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background Few studies focused on the general situation of telemedicine in China. Objectives The purpose of this review is to investigate telemedicine in China, from the aspects of necessity, history, scale, and operation procedure, to improve the further development and implementation of telemedicine service. Methods A literature search for peer-reviewed studies was conducted using the primary electronic databases. Additional documents from the official websites of Chinese government departments involved telemedicine was also collected. We extracted telemedicine related information focused on China from the final retrieved materials, and the general situation of telemedicine was drawn. Results In China, telemedicine offers a feasible solution to the unequal allocation of healthcare resources, which makes telemedicine increasingly become an important alternative to close the gap between rural and urban in the capability and quality of medical services. China initiated telemedicine in the late 1980s. In 2018, China's telemedicine network has covered more than 3,000 hospitals across the country. As of 2019, almost all of the 31 provinces and municipalities in mainland have established regional telemedicine centers, and the market size of telemedicine reached about USD 2.68 billion. Based on the telemedicine network, remote rural patients can apply for healthcare services of top-tier urban hospitals through local county-level medical institutions. Conclusions Through improving the capacity, quality, and efficiency of healthcare in underserved areas, and reducing the unequal distribution of medical resources, telemedicine can help solve the problems of the difficulty and high cost to access to medical services in China.
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Affiliation(s)
- Jinghong Gao
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Henan Province Telemedicine Center of China, National Telemedicine Center of China, Zhengzhou, China
| | - Chaolin Fan
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baozhan Chen
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Henan Province Telemedicine Center of China, National Telemedicine Center of China, Zhengzhou, China
| | - Zhaohan Fan
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China
| | - Lifeng Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China
| | - Linlin Wang
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Henan Province Telemedicine Center of China, National Telemedicine Center of China, Zhengzhou, China
| | - Qianqian Ma
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Henan Province Telemedicine Center of China, National Telemedicine Center of China, Zhengzhou, China
| | - Xianying He
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Henan Province Telemedicine Center of China, National Telemedicine Center of China, Zhengzhou, China
| | - Yunkai Zhai
- National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Management Engineering School, Zhengzhou University, Zhengzhou, China
| | - Jie Zhao
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China.,Henan Province Telemedicine Center of China, National Telemedicine Center of China, Zhengzhou, China
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11
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Waibel KH, Perry TT. Telehealth and Allergy Services in Rural and Regional Locations That Lack Specialty Services. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY: IN PRACTICE 2022; 10:2507-2513.e1. [PMID: 35777652 PMCID: PMC9280446 DOI: 10.1016/j.jaip.2022.06.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/03/2022] [Accepted: 06/20/2022] [Indexed: 11/09/2022]
Abstract
Secondary to the coronavirus disease 2019 pandemic, telehealth quickly peaked as the dominant health care modality and its use still remains high. Although allergists and health care systems adapted quickly to adopt telehealth, its increased use has both highlighted its benefits for patients and allergists and demonstrated known concerns with delivering allergy specialty care to rural and regional patient populations. With increased concentration of both patients and allergists in urban areas, the ability to provide allergy specialty care to the rural and remote population continues to remain a challenge despite the advantages leveraged through telehealth. Herein, we review aspects specific to the rural patient population, tele-allergy outcomes with these patient cohorts, and efforts, both past and present, taken at different levels within the allergy community to promote our specialty through specific telehealth modalities to address and engage the rural and regional patient.
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12
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Cheng X, Zhang L. Health Service Needs from a Household Perspective: An Empirical Study in Rural Empty Nest Families in Sinan and Dangyang, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19020628. [PMID: 35055450 PMCID: PMC8775500 DOI: 10.3390/ijerph19020628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/29/2021] [Accepted: 12/31/2021] [Indexed: 02/04/2023]
Abstract
This study aimed to explore the health service needs of empty nest families from a household perspective. A multistage random sampling strategy was conducted to select 1606 individuals in 803 empty nest households in this study. A questionnaire was used to ask each individual about their health service needs in each household. The consistency rate was calculated based on their consistent answers to the questionnaire. We used a collective household model to analyze individuals’ public health service needs on the family level. According to the results, individuals’ consistency rates of health service needs in empty nest households, such as diagnosis and treatment service (H1), chronic disease management service (H2), telemedicine care (H3), physical examination service (H4), health education service (H5), mental healthcare (H6), and traditional Chinese medicine service (H7) were 40.30%, 89.13%, 98.85%, 58.93%, 57.95%, 72.84%, and 63.40%, respectively. Therefore, family-level health service needs could be studied from a family level. Health service needs of H1, H3, H4, H5, and H7 for individuals in empty nest households have significant correlations with each other (r = 0.404, 0.177, 0.286, 0.265, 0.220, p < 0.001). This will be helpful for health management in primary care in rural China; the concordance will alleviate the pressure of primary care and increase the effectiveness of doctor–patient communication. Health service needs in empty nest households who took individuals’ public needs as household needs (n = 746) included the H4 (43.3%) and H5 (24.9%) and were always with a male householder (94.0%) or at least one had chronic diseases (82.4%). Health service needs in empty nest households that considered one member’s needs as household needs (n = 46) included the H1 (56.5%), H4 (65.2%), H5 (63.0%), and H7 (45.7%), and the member would be the householder of the family (90.5%) or had a disease within two weeks (100.0%). In conclusion, family members’ roles and health status play an important role in health service needs in empty nest households. Additionally, physical examination and health education services are the two health services that are most needed by empty nest households, and are suitable for delivering within a household unit.
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Affiliation(s)
- Xueyan Cheng
- Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai 200032, China;
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Liang Zhang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- School of Political Science and Public Administration, Wuhan University, Wuhan 430030, China
- Correspondence:
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13
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Alajwari HA, Alfayez A, Alsalman D, Alanezi F, Alhodaib H, Al-Rayes S, Aljaffary A, AlThani B, AlNujaidi H, Al-Saif AK, Attar R, Aljabri D, Al-Mubarak S, Al-Juwair MM, Alrawiai S, Alakrawi Z, Alanzi TM. Knowledge and attitude of Saudi Arabian citizens towards telemedicine during the COVID-19 pandemic. Int Health 2021; 14:604-609. [PMID: 34893850 PMCID: PMC8689698 DOI: 10.1093/inthealth/ihab082] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/10/2021] [Accepted: 11/18/2021] [Indexed: 11/24/2022] Open
Abstract
Background The objective of this study was to investigate the knowledge and attitudes of Saudi Arabian citizens towards telemedicine during the coronavirus disease 2019 (COVID-19) pandemic. Methods A cross-sectional survey was designed to carry out this study. The electronic survey, prepared using Google Forms, was distributed to 1500 randomly selected citizens of Saudi Arabia. A total of 330 participants completed and returned the questionnaire. Basic statistics were used to describe the data. Results The majority of the respondents (73.9%) were female. More than half of them (54.8%) were >35 y of age and had graduate or postgraduate degrees (65.5%). A total of 96.7% of the respondents were Saudis. Most of the participants (70.0%) were familiar with the term ‘telemedicine’ and thought that telemedicine (92.1%) could reduce transportation costs. Of the respondents, 58.8% had not seen a telemedicine system before and 67.0% indicated that they had not previously used telemedicine services. A total of 87.3% of the participants agreed or strongly agreed that telemedicine was a useful tool during the COVID-19 pandemic. Also, more than half of the participants agreed or strongly agreed that telemedicine facilitates the diagnosis of people (58.8%), increases communication (58.2%), reduces clinic visits (85.9%) and performs tasks quickly (70.3%). Also, 51.5% of the respondents disagreed or strongly disagreed that telemedicine affects patient privacy. Conclusions The outcomes indicated that most of the participants had a positive attitude towards the use of telemedicine as a response to the COVID-19 pandemic in Saudi Arabia. They believed that telemedicine saves time, labour and costs and is an effective tool to treat coronavirus patients at a safe distance. However, the government should develop programs to raise awareness in the population about the use of telemedicine for the treatment of various diseases that afflict the Saudi Arabian people. Likewise, a legal framework must be implemented to protect the privacy of patients and healthcare providers.
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Affiliation(s)
- Hadeel Abdullah Alajwari
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Asma Alfayez
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Demah Alsalman
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Fahad Alanezi
- College of Business Administration, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Hala Alhodaib
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University
| | - Saja Al-Rayes
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Afnan Aljaffary
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Bashair AlThani
- College of Business Administration, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Heba AlNujaidi
- College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Atheer K Al-Saif
- College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Razaz Attar
- Princess Nourah Bint Abdul Rahman University, Saudi Arabia
| | - Duaa Aljabri
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Sama'a Al-Mubarak
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Mona M Al-Juwair
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Sumaiah Alrawiai
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Zahraa Alakrawi
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
| | - Turki M Alanzi
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, King Faisal Road, Dammam, Saudi Arabia
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14
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Fan ZY, Yin RY, Tang L, Zhang CH, Zhang F. Relationships Between Internet Use and Sleep Duration in Chinese Adults: A Cross-Sectional Study. Int J Gen Med 2021; 14:4677-4685. [PMID: 34447262 PMCID: PMC8384427 DOI: 10.2147/ijgm.s317658] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/11/2021] [Indexed: 12/11/2022] Open
Abstract
Purpose Most studies that examined the relationship between internet use and sleep were conducted mainly in children and adolescents, and we know little about the use of internet among adults. The purpose of this study is to understand the internet use patterns of Chinese adults and to measure their associations with sleep duration from variety, frequency and type. Methods A total of 19,730 samples were selected from 2018 data of the China Health and Retirement Longitudinal study. Internet usage was obtained by specific questions, and the range of sleep period was grouped according to recommendations from the National Sleep Foundation. Kruskal–Wallis H-test and the chi-squared test were used for basic descriptive analysis, and multinomial logistic regression was used to analyze the relationships between internet use and sleep duration. Stata version 15.0 was used for data cleaning, and SPSS version 20.0 was used for statistics analysis. Results After screening, a total of 6346 persons were included in the analysis, of which 3148 (49.61%) were males and 3198 (50.39%) were females. Age ranged from 21 to 95 years, most persons were over 45 years old, with the median age of 56 years. Only 1180 (18.59%) participants used the internet, and almost all of them used mobile phones (1137, 96.36%), the other three types were desktop computer (232, 19.66%), laptop computer (69, 5.85%) and tablet (73, 6.19%). There were 912 (77.28%) and 268 (22.71%) participants who used only one and two or more types, respectively. In the unadjusted model, both short sleep and long sleep were associated with internet use compared with normal sleep duration (0.806 [0.708–0.918] p = 0.001; 0.345 [0.251–0.475] p < 0.000). After adjusting for all covariates, the association between long sleep and internet use still persisted (0.612 [0.433–0.865] p = 0.005), but no significant difference was found in short sleep (0.929 [0.803–1.075] p = 0.325). Conclusion Internet use was found to be closely associated with sleep and the duration of sleep negatively affected, which may provide new ideas for sleep hygiene recommendations and healthy media use. This conclusion needs more evidence to support.
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Affiliation(s)
- Zhao-Ya Fan
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Ruo-Yun Yin
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Lei Tang
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Chang-Hong Zhang
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Fan Zhang
- School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, 400016, People's Republic of China
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