EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 275 (2021) E3S Web Conf., 275 (2021) 02026 References
Open Access
Issue
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
Article Number 02026
Number of page(s) 7
Section Green Low-Carbon and Energy Saving and Emission Reduction Applications
DOI https://doi.org/10.1051/e3sconf/202127502026
Published online 21 June 2021
  1. Che Fengyuan, Ma Yingxia, Li Yuying, Qin Dawei, Kong Guanqing, & You Shengan et al. (2016). Exploration of an integrated chronic disease management model for the elderly in communities based on mobile medical technology. Chinese Geriatric Healthcare Medicine, 14(4), 3-6. [Google Scholar]
  2. Dai Yingzi. (2010). The allocation of urban medical resources: imbalance and correction. Urban Development Research, 17(9), 108-112. [Google Scholar]
  3. Gao Yuanyuan, Xie Bo, Sun Zilin, Jia Min, Ye Xiuli, & Hu Yuelan et al. (2013). Construction of a new model of hospital-community-patient-volunteer integrated chronic disease management. Chinese General Practice, 16(28), 2624-2626. [Google Scholar]
  4. International Diabetes Federation (DF) Global Diabetes Overview, 8th edition in 2017. [Google Scholar]
  5. He Ting, Liu Xing, Li Ying, & Yuan Hong. (2016). Research progress in the application of big data analysis in chronic disease management. Chinese Public Health, 32(7), 981-984. [Google Scholar]
  6. Song Yueping, & Tan Lin. (2006). The accessibility of health and medical resources and the health problems of rural children. Chinese Population Science, 2006(6), 43-48. [Google Scholar]
  7. Tian Hua, Li Shu, & Zhang Xianglin. (2016). Analysis of the status quo of chronic disease management at home and abroad. China Pharmacy, 27(32), 4465-4468. [Google Scholar]
  8. Wang Li, Chang Lijie, Wu Hao, Liu Lihua, Yu Haiyang, & Jia Hongyan et al. (2016). Study on the effect of the “one-to-one” binding community nurses participating in the chronic disease health management model of Beijing Fangzhuang Medical Care. Chinese General Practice, 19(30), 3722-3725. [Google Scholar]
  9. Wang Qianjing, Sha Yong, Chen Fang. (2016). Investigation on the health status of rural families in ethnic areas and research on targeted poverty alleviation strategies based on sampling data from Yunnan Province. Guizhou Ethnic Studies, 38(6): 4853. [Google Scholar]
  10. Wang Miao, & Xing Caixia. (2017). Analysis of urban chronic disease health management in the context of the new medical reform. Medicine and Philosophy, 38(4), 87-90. [Google Scholar]
  11. Yang Yansui, & Chen Chengcheng. (2017). the restructuring of the medical service system under the silver economy: an analysis of the relationship between long-term care and medical services for the elderly. Journal of the National School of Administration (2), 46-51. [Google Scholar]
  12. Yao Yuan, & Wang Gaoling. (2017). Reconstruction of the chronic disease management system from the perspective of social management. Chinese Health Service Management, 34(2), 157-160. [Google Scholar]
  13. Yan Jun, & Chen Yuping. (2010). Do the rural elderly occupy more medical resources? ——the policy implications of the age distribution of rural medical expenses. Management World (5), 91-95. [Google Scholar]
  14. Yu Yuxin, & Yang Dakai. (2008). Theoretical and empirical research on the equity of medical resource allocation in my country. Economic System Reform (6), 160-163. [Google Scholar]
  15. Zhang Yuhui, Wan Quan, Chai Peipei, Guo Feng, Wang Xiufeng. (2017). Research on Diabetes Medical Expenses and Financing Burden in China. Chinese Health Economics. 36(4), 17-19. [Google Scholar]
  16. Zhang Yongjian, Ji Jianlong, Xie Chengyu, Zhou Haiyun, & Liu Qingyun. (2011). Effectiveness and analysis of chronic disease management in community health service centers. Chinese General Practice, 09(1), 130-132. [Google Scholar]
  17. Zhang Zhongfang. (2017). Research on Medical Security Anti-poverty under the Background of Targeted Poverty Alleviation Policies, Exploration, (2): 81-85. [Google Scholar]
  18. China Industrial Development Research Institute, 2017. http://www.chinaidr.com/tradenews/2018-05/120062.html. [Google Scholar]
  19. Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient self-management of chronic disease in primary care. JAMA, 288(19), 2469-2475. [CrossRef] [PubMed] [Google Scholar]
  20. Braun, Virginia, and Clarke, Victoria. Using thematic analysis in psychology. Qualitatitve Research in Psychology, 2006, 3, 77-101. [CrossRef] [Google Scholar]
  21. El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013). A systematic review of IT for diabetes selfmanagement: are we there yet? International journal of medical informatics, 82(8), 637-652. [CrossRef] [PubMed] [Google Scholar]
  22. Goldwater, J. C., Kwon, N. J., Nathanson, A., et al. (2013). Open source electronic health records and chronic disease management. Journal of the American Medical Informatics Association, 21 (e1), e50-e54. [CrossRef] [Google Scholar]
  23. Johnson, K. B., Patterson, B. L., Ho, Y. X., et al. (2015). The feasibility of text reminders to improve medication adherence in adolescents with asthma. Journal of the American Medical Informatics Association, 23(3), 449-455. [CrossRef] [Google Scholar]
  24. Kaplan, S. H., Greenfield, S., & Ware J.R J. E. (1989). Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Medical care, S110-S127. [CrossRef] [PubMed] [Google Scholar]
  25. Khosravi, P., & Ghapanchi, A. H. (2016). Investigating the effectiveness of technologies applied to assist seniors: A systematic literature review. International journal of medical informatics, 85(1), 17-26. [CrossRef] [PubMed] [Google Scholar]
  26. LeRouge, C., Ma, J., Sneha, S., & Tolle, K. (2013). User profiles and personas in the design and development of consumer health technologies. International journal of medical informatics, 82(11), e251-e268. [CrossRef] [PubMed] [Google Scholar]
  27. Liaw, S. T., Rahimi, A., Ray, P., Taggart, J., et al. (2013). Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature. International journal of medical informatics, 82(1), 10-24. [CrossRef] [PubMed] [Google Scholar]
  28. Liu, C. F., & Kuo, K. M. (2016). Does information overload prevent chronic patients from reading selfmanagement educational materials?. International journal of medical informatics, 89, 1-8. [CrossRef] [PubMed] [Google Scholar]
  29. Lorig, K. R., Sobel, D. S., Stewart, A. L., et al. (1999). Evidence suggesting that a chronic disease selfmanagement program can improve health status while reducing hospitalization: a randomized trial. Medical care, 5-14. [CrossRef] [PubMed] [Google Scholar]
  30. McDermott, M. S., & While, A. E. (2013). Maximizing the healthcare environment: a systematic review exploring the potential of computer technology to promote self-management of chronic illness in healthcare settings. Patient education and counseling, 92(1), 13-22. [CrossRef] [PubMed] [Google Scholar]
  31. Merolli, M., Gray, K., & Martin-Sanchez, F. (2013). Developing a framework to generate evidence of health outcomes from social media use in chronic disease management. Medicine 2.0, 2(2). [Google Scholar]
  32. Merolli, M., Gray, K., & Martin-Sanchez, F. (2013). Health outcomes and related effects of using social media in chronic disease management: a literature review and analysis of affordances. Journal of biomedical informatics, 46(6), 957-969. [CrossRef] [PubMed] [Google Scholar]
  33. Merolli, M., Gray, K., & Martín-Sánchez, F. (2016). Patient Participation in Chronic Pain Management through Social Media: A Clinical Study. In Nursing Informatics (pp. 577-581). [Google Scholar]
  34. Miles, M. B., and Huberman, A. M. Qualitative data analysis: a sourcebook of new methods, 2nd Edition. SAGE Publications, Inc, 1994. [Google Scholar]
  35. Paré, G., Trudel, M. C., Jaana, M., & Kitsiou, S. (2015). Synthesizing information systems knowledge: A typology of literature reviews. Information & Management, 52(2), 183-199. [CrossRef] [Google Scholar]
  36. Patel, R., Chang, T., Greysen, S. R., & Chopra, V. (2015). Social media use in chronic disease: a systematic review and novel taxonomy. The American journal of medicine, 128(12), 1335-1350. [CrossRef] [PubMed] [Google Scholar]
  37. Rajan, B., Seidmann, A., & Dorsey, E. R. (2013). The competitive business impact of using telemedicine for the treatment of patients with chronic conditions. Journal of Management Information Systems, 30(2), 127-158. [CrossRef] [Google Scholar]
  38. Strauss, A., and Corbin, J. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, CA: Sage Publications, 1998. [Google Scholar]
  39. Tang, P. C., Overhage, J. M., Chan, A. S., et al. (2012). Online disease management of diabetes: engaging and motivating patients online with enhanced resources-diabetes (EMPOWER-D), a randomized controlled trial. Journal of the American Medical Informatics Association, 20(3), 526-534. [CrossRef] [Google Scholar]
  40. Wells, S., Rozenblum, R., Park, A., Dunn, M., & Bates, D. W. (2014). Organizational strategies for promoting patient and provider uptake of personal health records. Journal of the American Medical Informatics Association, 22(1), 213-222. [CrossRef] [Google Scholar]
  41. Yin, R. K. Case Study Research: Design and Methods. Thousand Oaks, CA: Sage Publications, 2003. Zhou, L., Zhang, D., Yang, C. C., & Wang, Y. (2018). Harnessing social media for health information management. Electronic Commerce Research and Applications, 27, 139-151. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.