Implications for implementation and adoption of telehealth in developing countries: a systematic review of China’s practices and experiences

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Implications for implementation and adoption of telehealth in developing countries: a systematic review of China’s practices and experiences
  • Moynihan, R. et al. Impact of COVID-19 pandemic on utilisation of healthcare services: a systematic review. BMJ open 11, e045343 (2021).

    Article 
    PubMed 

    Google Scholar 

  • World Health Organization, Implementing telemedicine services during COVID-19: guiding principles and considerations for a stepwise approach. (2020).

  • Caffery, L. J., Farjian, M. & Smith, A. C. Telehealth interventions for reducing waiting lists and waiting times for specialist outpatient services: A scoping review. J. Telemed. telecare 22, 504–512 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Imlach, F. et al. Telehealth consultations in general practice during a pandemic lockdown: survey and interviews on patient experiences and preferences. BMC Fam. Pract. 21, 1–14 (2020).

    Article 

    Google Scholar 

  • Jnr, B. A. Use of telemedicine and virtual care for remote treatment in response to COVID-19 pandemic. J. Med. Syst. 44, 1–9 (2020).

    Google Scholar 

  • Snoswell, C. L., et al. The clinical effectiveness of telehealth: a systematic review of meta-analyses from 2010 to 2019. J. Telemed. Telecare. (2021).

  • Wijesooriya, N. R. et al. COVID-19 and telehealth, education, and research adaptations. Paediatr. Respiratory Rev. 35, 38–42 (2020).

    Article 

    Google Scholar 

  • Gajbhiye, R. K. et al. Differential impact of COVID‐19 in pregnant women from high‐income countries and low‐to middle‐income countries: A systematic review and meta‐analysis. Int. J. Gynecol. Obstet. 155, 48–56 (2021).

    Article 
    CAS 

    Google Scholar 

  • Kitano, T. et al. The differential impact of pediatric COVID-19 between high-income countries and low-and middle-income countries: A systematic review of fatality and ICU admission in children worldwide. PloS one 16, e0246326 (2021).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • World Bank Group, World Bank Country and Lending Groups 2020. (2020).

  • Zhang, Q. F. & Hu, Z. Rural China under the COVID‐19 pandemic: Differentiated impacts, rural–urban inequality and agro‐industrialization. J. Agrarian Change 21, 591–603 (2021).

    Article 
    CAS 

    Google Scholar 

  • population, W.B.U., United Nations Population Division. World Urbanization Prospects: 2018 Revision.

  • Ling, R. E. et al. Emerging issues in public health: a perspective on China’s healthcare system. Public Health 125, 9–14 (2011).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Xiong, Y. & Huang, J. Inequality in health service between urban and rural areas in China: evidence from CHARLS 2013 data. Population Journal 15, 62–76 (2016).

    Google Scholar 

  • Song, S. et al. Increased inequalities in health resource and access to health care in rural China. Int. J. Environ. Res. public health 16, 49 (2019).

    Article 

    Google Scholar 

  • Ye, J. & Ren, Z. Examining the impact of sex differences and the COVID-19 pandemic on health and health care: findings from a national cross-sectional study. JAMIA Open, (2022).

  • Koonin, L. M. et al. Trends in the use of telehealth during the emergence of the COVID-19 pandemic—United States, January–March 2020. Morbidity Mortal. Wkly. Rep. 69, 1595 (2020).

    Article 
    CAS 

    Google Scholar 

  • Ye, J., Wang, Z. & Hai, J. Social Networking Service, Patient-Generated Health Data, and Population Health Informatics: National Cross-sectional Study of Patterns and Implications of Leveraging Digital Technologies to Support Mental Health and Well-being. J. Med. Internet Res. 24, e30898 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Page, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst. Rev. 10, 1–11 (2021).

    Article 

    Google Scholar 

  • Ye, J., He L., and Beestrum M., Implications for implementation and adoption of telehealth in low- and middle-income countries during the COVID-19 pandemic: a systematic review of China’s practices and experiences. Available at: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023402844.

  • Khandkar, S. H. Open coding. Univ. Calg. 23, 2009 (2009).

    Google Scholar 

  • Damschroder, L. J. et al. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement. Sci. 4, 1–15. (2009).

    Article 

    Google Scholar 

  • Yearbook, C. S., China Statistical Yearbook: the national bureau of statistics of the People’s Republic of China. (2021).

  • Xue, H., Shi, Y. & Medina, A. Who are rural China’s village clinicians? China Agricultural Economic Review, (2016).

  • Cai, H. et al. Application of telemedicine in Gansu Province of China. PLoS One 11, e0158026 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Han, Y. et al. The use of remote programming for spinal cord stimulation for patients with chronic pain during the COVID-19 outbreak in China. Neuromodulation: Technol. Neural Interface 24, 441–447 (2021).

    Article 

    Google Scholar 

  • Chen, H. et al. Application of 5G Technology to Conduct Real-Time Teleretinal Laser Photocoagulation for the Treatment of Diabetic Retinopathy. JAMA Ophthalmol. 139, 975–982 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Li, P. et al. How telemedicine integrated into China’s anti-COVID-19 strategies: case from a National Referral Center. BMJ Health Care Inform. 27, e100164 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Wang, Y. et al. Application of telemedicine in the COVID-19 epidemic: An analysis of Gansu Province in China. Plos one 16, e0249872 (2021).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Zhai, Y. et al. An internet-based multidisciplinary online medical consultation system to help cope with pediatric medical needs during the COVID-19 outbreak: a cross-sectional study. Transl. Pediatrics 10, 560 (2021).

    Article 

    Google Scholar 

  • Fu, Z. et al. Minimizing the Impact of the COVID-19 Epidemic on Oncology Clinical Trials: Retrospective Study of Beijing Cancer Hospital. J. Med. Internet Res. 23, e26799 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Dorsey, E. R. & Topol, E. J. State of telehealth. N. Engl. J. Med. 375, 154–161 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Liu, L. et al. Application and preliminary outcomes of remote diagnosis and treatment during the COVID-19 outbreak: retrospective cohort study. JMIR mHealth uHealth 8, e19417 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Li, H.-L. et al. Pilot study using telemedicine video consultation for vascular patients’ care during the COVID-19 period. Ann. Vasc. Surg. 68, 76–82 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zhang, J. et al. Application value of vital signs telemetry system for 2019 novel coronavirus disease suspected cases in isolation wards. Infect. Drug Resistance 13, 2971 (2020).

    Article 
    CAS 

    Google Scholar 

  • Lu, Y. et al. Management of intractable pain in patients with implanted spinal cord stimulation devices during the COVID-19 pandemic using a remote and wireless programming system. Front. Neurosci. 14, 1283 (2020).

    Article 

    Google Scholar 

  • Ku, B. P. S. et al. Tele-Rehabilitation to Combat Rehabilitation Service Disruption During COVID-19 in Hong Kong: Observational Study. JMIR Rehabilitation Assistive Technol. 8, e19946 (2021).

    Article 

    Google Scholar 

  • Zhou, F. et al. Online clinical consultation as a utility tool for managing medical crisis during a pandemic: retrospective analysis on the characteristics of online clinical consultations during the COVID-19 pandemic. J. Prim. Care Community Health 11, 2150132720975517 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lee, A. K. et al. Mitigation of head and neck cancer service disruption during COVID‐19 in Hong Kong through telehealth and multi‐institutional collaboration. Head. Neck 42, 1454–1459 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lin, Z. et al. Deep brain stimulation telemedicine programming during the COVID-19 pandemic: treatment of patients with psychiatric disorders. Neurosurgical focus 49, E11 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Ye, J., Hai, J., Song, J., Wang, Z. Multimodal Data Hybrid Fusion and Natural Language Processing for Clinical Prediction Models. medRxiv. 2023–08. (2023).

  • Ye, J. and L. N. Sanchez-Pinto. Three data-driven phenotypes of multiple organ dysfunction syndrome preserved from early childhood to middle adulthood. in AMIA Annual Symposium Proceedings. American Medical Informatics Association (2020).

  • He, Q. et al. Practice in Information Technology Support for Fangcang Shelter Hospital during COVID-19 Epidemic in Wuhan, China. J. Med. Syst. 45, 1–8 (2021).

    Article 

    Google Scholar 

  • Ye, J. et al. & Hypertension Treatment in Nigeria Program investigators. Optimizing Longitudinal Retention in Care Among Patients With Hypertension in Primary Healthcare Settings: Findings From the Hypertension Treatment in Nigeria Program. Circulation 146, A13217 (2022).

  • Guo, Z. et al. The safety and feasibility of the screening for retinopathy of prematurity assisted by telemedicine network during COVID-19 pandemic in Wuhan, China. BMC Ophthalmol. 21, 1–8 (2021).

    Article 

    Google Scholar 

  • Ye, J. Patient Safety of Perioperative Medication Through the Lens of Digital Health and Artificial Intelligence. JMIR Perioperative Med. 6, e34453 (2023).

    Article 

    Google Scholar 

  • Ye, J. et al. Characteristics and Patterns of Retention in Hypertension Care in Primary Care Settings From the Hypertension Treatment in Nigeria Program. JAMA Netw. Open 5, e2230025–e2230025 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Wei, X., et al., Evaluation on application of intelligent voice call system in popularizing knowledge of prevention and control of COVID-19 for chronic disease patients in the community. Chinese Journal of General Practitioners, p. 388-393, (2020).

  • Lee, S. H., et al. Establish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform. in AMIA Annual Symposium Proceedings. American Medical Informatics Association (2020).

  • Ye, J. et al. A portable urine analyzer based on colorimetric detection. Anal. Methods 9, 2464–2471 (2017).

    Article 
    CAS 

    Google Scholar 

  • Mu, Z. et al. Teledermatology Service During the COVID-19 Pandemic in China: A Mobile Application-Based Retrospective Study. Clin., Cosmet. investigational Dermatol. 14, 1119 (2021).

    Article 

    Google Scholar 

  • Ma, R., Nguyen, R. & Oakman, J. M. Dissemination strategies and usage of psychological assistance hotlines during the COVID-19 outbreak in China. Frontiers in Communication 5, 60 (2020).

    Article 

    Google Scholar 

  • Ye, J. Pediatric Mental and Behavioral Health in the Period of Quarantine and Social Distancing With COVID-19. JMIR pediatrics Parent. 3, e19867 (2020).

    Article 

    Google Scholar 

  • Ye, J. Advancing mental health and psychological support for health care workers using digital technologies and platforms. JMIR Formative Res. 5, e22075 (2021).

    Article 

    Google Scholar 

  • Lian, W. et al. Digital health technologies respond to the COVID-19 pandemic in a tertiary hospital in China: development and usability study. J. Med. Internet Res. 22, e24505 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zhang, W. et al. Analyzing National Telemedicine Policies in China from the perspective of Policy Instrument (1997-2020). Int. J. Med. Inform. 166, 104854 (2022).

    Article 
    PubMed 

    Google Scholar 

  • Wong, D., China’s Healthcare Industry: Opportunities in Telemedicine and Digital Healthcare. China Briefing, (2020).

  • BAARK, E. China’s New Digital Infrastructure: Expanding 5G Mobile Communications. East Asian Policy 14, 124–136 (2022).

    Article 

    Google Scholar 

  • Helou, S. et al. The effect of the COVID-19 pandemic on physicians’ use and perception of telehealth: The case of Lebanon. Int. J. Environ. Res. public health 17, 4866 (2020).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Ye, J. The role of health technology and informatics in a global public health emergency: practices and implications from the COVID-19 pandemic. JMIR Med. Inform. 8, e19866 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ye, J. et al. Identifying Practice Facilitation Delays and Barriers in Primary Care Quality Improvement. J. Am. Board Fam. Med.: JABFM 33, 655–664 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Ye, J., The impact of electronic health record–integrated patient-generated health data on clinician burnout. Journal of the American Medical Informatics Association, (2021).

  • Doraiswamy, S. et al. Use of telehealth during the COVID-19 pandemic: scoping review. J. Med. Internet Res. 22, e24087 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Monaghesh, E. & Hajizadeh, A. The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence. BMC public health 20, 1–9 (2020).

    Article 

    Google Scholar 

  • Ye, J. et al. Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets. JAMIA Open 6, ooad023 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ye, J. Health Information System’s Responses to COVID-19 Pandemic in China: A National Cross-sectional Study. Appl. Clin. Inform. 12, 399–406 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Barayev, E. et al. WhatsApp Tele-Medicine–usage patterns and physicians views on the platform. Isr. J. health policy Res. 10, 1–9 (2021).

    Article 

    Google Scholar 

  • Elhadi, M. et al. Utilization of Telehealth Services in Libya in Response to the COVID-19 Pandemic: Cross-sectional Analysis. JMIR. Med. Inform. 9, e23335 (2021).

    Google Scholar 

  • Shalash, A. et al. Adopting virtual visits for Parkinson’s disease patients during the COVID-19 pandemic in a developing country. Front. Neurol. 11, 582613 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ginsburg, O. M. et al. An mHealth model to increase clinic attendance for breast symptoms in rural Bangladesh: can bridging the digital divide help close the cancer divide? oncologist 19, 177–185 (2014).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ye, J. and Q. Ma. The effects and patterns among mobile health, social determinants, and physical activity: a nationally representative cross-sectional study. in AMIA Annual Symposium Proceedings. American Medical Informatics Association (2021).

  • Liu, G. et al. The efficacy of WeChat-Based parenting training on the psychological well-being of mothers with children with autism during the COVID-19 Pandemic: Quasi-experimental study. JMIR Ment. Health 8, e23917 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Bank, W., World development report 2004: making services work for poor people.: The World Bank (2003).

  • Guanais, F. C. & Macinko, J. The health effects of decentralizing primary care in Brazil. Health Aff. 28, 1127–1135 (2009).

    Article 

    Google Scholar 

  • Reddy, T. S. K. et al. Decentralization of India Hypertension Control Initiative services to maintain continuum of care for hypertensive patients during COVID-19 pandemic in Telangana. WHO South-East Asia J. Public Health 10, 49 (2021).

    Article 

    Google Scholar 

  • Ye, J. et al. Identifying Contextual Factors and Strategies for Practice Facilitation in Primary Care Quality Improvement Using an Informatics-Driven Model: Framework Development and Mixed Methods Case Study. JMIR Hum. Factors 9, e32174 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ye, J. Design and development of an informatics-driven implementation research framework for primary care studies. in AMIA Annual Symposium Proceedings. American Medical Informatics Association (2021).

  • Dzinamarira, T. et al. COVID-19: Comparison of the Response in Rwanda, South Africa and Zimbabwe. MEDICC Rev. 23, 15–20 (2021).

    PubMed 

    Google Scholar 

  • Agarwal, N. et al. Telemedicine in India: A tool for transforming health care in the era of COVID-19 pandemic. J. Educ. Health Promotion 9, 190 (2020).

    Article 

    Google Scholar 

  • Ye, J. et al. Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes. BMC Med. Inform. Decis. Mak. 20, 1–7 (2020).

    Article 
    CAS 

    Google Scholar 

  • Jung, R. G. et al. Methodological quality of COVID-19 clinical research. Nat. Commun. 12, 1–10. (2021).

    Article 

    Google Scholar 

  • Eslami Jahromi, M. & Ayatollahi, H. Utilization of telehealth to manage the Covid-19 pandemic in low-and middle-income countries: a scoping review. J. Am. Med. Inform. Assoc. 30, 738–751 (2023).

    Article 
    PubMed 

    Google Scholar 

  • Mahmoud, K., C. Jaramillo, and S. Barteit, Telemedicine in low-and middle-income countries during the COVID-19 pandemic: a scoping review. Frontiers in Public Health, 10, 914423 (2022).

  • Xu, H. et al. Monitoring and management of home-quarantined patients with COVID-19 using a WeChat-based telemedicine system: retrospective cohort study. J. Med. Internet Res. 22, e19514 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Shao, C. et al. Taizhou’s COVID-19 prevention and control experience with telemedicine features. Front. Med. 14, 506–510 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chen, M. et al. Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study. BMJ open 10, e043461 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Zhang, Q.-L. et al. Telemedicine usage via WeChat for children with congenital heart disease preoperatively during COVID-19 pandemic: a retrospective analysis. Int. J. Qual. Health Care 33, mzab066 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Nan, J. et al. Comparison of clinical outcomes in patients with ST elevation myocardial infarction with percutaneous coronary intervention and the use of a telemedicine app before and after the COVID-19 pandemic at a center in Beijing, China, from August 2019 to March 2020. Med. Sci. Monit.: Int. Med. J. Exp. Clin. Res. 26, e927061–1 (2020).

    Article 

    Google Scholar 

  • Li, H. et al. The Establishment and Practice of Pharmacy Care Service Based on Internet Social Media: Telemedicine in Response to the COVID-19 Pandemic. Front. Pharmacol. 12, 707442 (2021).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Li, Z. et al. Innovative Strategies and Efforts of Clinical Pharmacy Services During and After COVID-19 Epidemic: Experience from Shanghai Children’s Hospital. Risk Manag. Healthc. Policy 14, 4759 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ding, L. et al. The internet hospital plus drug delivery platform for health management during the COVID-19 pandemic: observational study. J. Med. Internet Res. 22, e19678 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zhang, S. et al. Changes in home blood pressure monitored among elderly patients with hypertension during the covid-19 outbreak: a longitudinal study in China leveraging a smartphone-based application. Circulation: Cardiovascular Qual. Outcomes 14, e007098 (2021).

    Google Scholar 

  • Xia, W., et al., A telerehabilitation programme in post-discharge COVID-19 patients (TERECO): a randomised controlled trial. Thorax, (2021).

  • Zhang, C. et al. Utility of deep brain stimulation telemedicine for patients with movement disorders during the COVID‐19 outbreak in China. Neuromodulation: Technol. Neural Interface 24, 337–342 (2021).

    Article 
    CAS 

    Google Scholar 

  • Li, L. et al. Management of follow-up with preterm infants during the outbreak in China. Front. Pediatrics 9, 387 (2021).

    Google Scholar 

  • Lai, T. H. et al. The use of short message service (SMS) to reduce outpatient attendance in ophthalmic clinics during the coronavirus pandemic. Int. Ophthalmol. 41, 613–620 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Caetano, R. et al. Challenges and opportunities for telehealth during the COVID-19 pandemic: ideas on spaces and initiatives in the Brazilian context. Cad. de. Saúde. Pública 36, e00088920 (2020).

    Article 

    Google Scholar 

  • Alghamdi, S. M., Alqahtani, J. S. & Aldhahir, A. M. Current status of telehealth in Saudi Arabia during COVID-19. J. Fam. community Med. 27, 208 (2020).

    Article 

    Google Scholar 

  • Nadeem, T., Siddiqui, S. & Asad, N. Initiating psychiatry teleclinics during the COVID-19 pandemic in a tertiary care hospital in Karachi, Pakistan. Psychological Trauma.: Theory, Res., Pract., Policy 12, 807 (2020).

    Article 

    Google Scholar 

  • Kulatunga, G. et al. A review of Telehealth practices in Sri Lanka in the context of the COVID-19 pandemic. Sri Lanka J. Bio-Med. Inform. 11, 8–19 (2020).

    Article 

    Google Scholar 

  • Lester, R. T. et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet 376, 1838–1845 (2010).

    Article 
    PubMed 

    Google Scholar 

  • El Joueidi, S. et al. Evaluation of the implementation process of the mobile health platform ‘WelTel’in six sites in East Africa and Canada using the modified consolidated framework for implementation research (mCFIR). BMC Med. Inform. Decis. Mak. 21, 1–15 (2021).

    Article 

    Google Scholar 

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