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      Implementation and Application of Telemedicine in China: Cross-Sectional Study

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          Abstract

          Background

          Telemedicine has been used widely in China and has benefited a large number of patients, but little is known about the overall development of telemedicine.

          Objective

          The aim of this study was to perform a national survey to identify the overall implementation and application of telemedicine in Chinese tertiary hospitals and provide a scientific basis for the successful expansion of telemedicine in the future.

          Methods

          The method of probability proportionate to size sampling was adopted to collect data from 161 tertiary hospitals in 29 provinces, autonomous regions, and municipalities. Charts and statistical tests were applied to compare the development of telemedicine, including management, network, data storage, software and hardware equipment, and application of telemedicine. Ordinal logistic regression was used to analyze the relationship between these factors and telemedicine service effect.

          Results

          Approximately 93.8% (151/161) of the tertiary hospitals carried out telemedicine services in business-to-business mode. The most widely used type of telemedicine network was the virtual private network with a usage rate of 55.3% (89/161). Only a few tertiary hospitals did not establish data security and cybersecurity measures. Of the 161 hospitals that took part in the survey, 100 (62.1%) conducted remote videoconferencing supported by hardware instead of software. The top 5 telemedicine services implemented in the hospitals were teleconsultation, remote education, telediagnosis of medical images, tele-electrocardiography, and telepathology, with coverage rates of 86.3% (139/161), 57.1% (92/161), 49.7% (80/161), 37.9% (61/161), and 33.5% (54/161), respectively. The average annual service volume of teleconsultation reached 714 cases per hospital. Teleconsultation and telediagnosis were the core charging services. Multivariate analysis indicated that the adoption of direct-to-consumer mode ( P=.003), support from scientific research funds ( P=.01), charging for services ( P<.001), number of medical professionals ( P=.04), network type ( P=.02), sharing data with other hospitals ( P=.04), and expertise level ( P=.03) were related to the effect of teleconsultation. Direct-to-consumer mode ( P=.01), research funding ( P=.01), charging for services ( P=.01), establishment of professional management departments ( P=.04), and 15 or more instances of remote education every month ( P=.01) were found to significantly influence the effect of remote education.

          Conclusions

          A variety of telemedicine services have been implemented in tertiary hospitals in China with a promising prospect, but the sustainability and further standardization of telemedicine in China are still far from accomplished.

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          Most cited references43

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          China's human resources for health: quantity, quality, and distribution.

          In this paper, we analyse China's current health workforce in terms of quantity, quality, and distribution. Unlike most countries, China has more doctors than nurses-in 2005, there were 1.9 million licensed doctors and 1.4 million nurses. Doctor density in urban areas was more than twice that in rural areas, with nurse density showing more than a three-fold difference. Most of China's doctors (67.2%) and nurses (97.5%) have been educated up to only junior college or secondary school level. Since 1998 there has been a massive expansion of medical education, with an excess in the production of health workers over absorption into the health workforce. Inter-county inequality in the distribution of both doctors and nurses is very high, with most of this inequality accounted for by within-province inequalities (82% or more) rather than by between-province inequalities. Urban-rural disparities in doctor and nurse density account for about a third of overall inter-county inequality. These inequalities matter greatly with respect to health outcomes across counties, provinces, and strata in China; for instance, a cross-county multiple regression analysis using data from the 2000 census shows that the density of health workers is highly significant in explaining infant mortality.
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            Clinical- and Cost-effectiveness of Telemedicine in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis

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              Ethical practice in Telehealth and Telemedicine

              This article summarizes the report of the American Medical Association's (AMA) Council on Ethical and Judicial Affairs (CEJA) on ethical practice in telehealth and telemedicine. Through its reports and recommendations, CEJA is responsible for maintaining and updating the AMA Code of Medical Ethics (Code). CEJA reports are developed through an iterative process of deliberation with input from multiple stakeholders; report recommendations, once adopted by the AMA House of Delegates, become ethics policy of the AMA and are issued as Opinions in the Code. To provide enduring guidance for the medical profession as a whole, CEJA strives to articulate expectations for conduct that are as independent of specific technologies or models of practice as possible. The present report, developed at the request of the House of Delegates, provides broad guidance for ethical conduct relating to key issues in telehealth/telemedicine. The report and recommendations were debated at meetings of the House in June and November 2015; recommendations were adopted in June 2016 and published as Opinion E-1.2.12, Ethical Practice in Telemedicine, in November 2016. A summary of the key points of the recommendations can be found in Appendix A (online), and the full text of the opinion can be found in Appendix B (online).
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                October 2020
                23 October 2020
                : 8
                : 10
                : e18426
                Affiliations
                [1 ] National Engineering Laboratory for Internet Medical Systems and Applications The First Affiliated Hospital of Zhengzhou University Zhengzhou, Henan China
                [2 ] National Telemedicine Center of China Zhengzhou, Henan China
                [3 ] School of Management Engineering Zhengzhou University Zhengzhou, Henan China
                Author notes
                Corresponding Author: Jie Zhao zhaojie@ 123456zzu.edu.cn
                Author information
                https://orcid.org/0000-0002-1870-7907
                https://orcid.org/0000-0003-4885-2512
                https://orcid.org/0000-0001-6918-9997
                https://orcid.org/0000-0002-7655-9279
                https://orcid.org/0000-0003-1168-8384
                https://orcid.org/0000-0002-3199-5472
                https://orcid.org/0000-0003-4914-9132
                https://orcid.org/0000-0002-3222-3845
                https://orcid.org/0000-0001-7830-4686
                https://orcid.org/0000-0002-8674-817X
                Article
                v8i10e18426
                10.2196/18426
                7647817
                33095175
                bd73d3b2-459e-4943-8d13-e85f39f1d323
                ©Fangfang Cui, Qianqian Ma, Xianying He, Yunkai Zhai, Jie Zhao, Baozhan Chen, Dongxu Sun, Jinming Shi, Mingbo Cao, Zhenbo Wang. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 23.10.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 26 February 2020
                : 29 June 2020
                : 29 August 2020
                : 2 October 2020
                Categories
                Original Paper
                Original Paper

                telemedicine,chinese hospital,implementation,application,influencing factors

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