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ORIGINAL RESEARCH article

Front. Neurol., 09 January 2023
Sec. Neurorehabilitation
This article is part of the Research Topic New advances in Rehabilitation of Stroke View all 37 articles

A bibliometric analysis of telerehabilitation services for patients with stroke

  • 1Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
  • 2Guangdong Engineering and Technology Research Center for Rehabilitation Medicine and Translation, Sun Yat-sen University, Guangzhou, China

Background: Routine rehabilitation services were disrupted by the COVID-19 pandemic outbreak. Telehealth was identified as an alternative means to provide access to these services. This bibliometric study aimed to analyze the scientific literature to discover trends and topics in the potential applications of telerehabilitation for patients with stroke.

Methods: The Web of Science electronic database was searched to retrieve relevant publications on telerehabilitation. Bibliometric data, including visual knowledge maps of authors, countries, institutions, and references, were analyzed in CiteSpace. Visualization maps were generated in VOSviewer to illustrate recurrent keywords and countries actively involved in this research area.

Results: The analysis was performed based on 6,787 publications. The number of publications peaked between 2019 and 2021, coinciding with the years of the COVID-19 outbreak. A total of 113 countries in Europe, North America, Asia, and Oceania had at least one publication in this research field, implying global attention in this research area. Nine of the top 10 most productive countries are developed countries, indicating a potentially higher capability to implement a telerehabilitation program.

Conclusion: The potential benefits and diversity of telerehabilitation are already highly visible from clinical studies, and further improvements in these technologies are expected to enhance functionality and accessibility for patients. More relevant research is encouraged to understand the barriers to increased adaptation of telerehabilitation services, which will finally translate into a significant therapeutic or preventive impact.

Introduction

Cerebral vascular disease is among the top three causes of years lived with disability worldwide. Stroke is the most common form of cerebral vascular disease that often results in deficits in motor function, cognitive function, and speech and swallowing functions (1). The rehabilitation process is often lengthy and resource intensive. During the COVID-19 pandemic, restrictions on social interactions and the closure of public facilities were in place to minimize further outbreaks (2). Routine rehabilitation services were disrupted, and healthcare providers promptly sought alternative provision models for rehabilitation services (3). Telehealth was identified as a way to increase access to these services due to its advantages of overcoming transport-related barriers, increasing the frequency of therapy sessions, individualizing interventions, and enhancing monitoring through technology (4). The term “telehealth” refers to an array of healthcare provisions that are provided to patients at a remote location (5) and was once stated by the World Health Organization (WHO) as having the potential to transform health service delivery across the world (6).

Telerehabilitation was defined as rehabilitation services delivered via information and communication technologies (5). It can include the provision of rehabilitation consultations via a phone call or a videoconference (7), the use of a computerized program (8) or a virtual reality system (9, 10) to provide home-based activities, or the provision of therapeutic devices or wearable sensors that can remotely monitor or provide feedback to the clinicians for a follow-up (11). The effectiveness in delivering rehabilitation to patients with stroke via telehealth remains inconclusive. Two Cochrane reviews reported that the evidence was insufficient to reach conclusions about the effectiveness of telerehabilitation but indicated it as a reasonable model of service delivery for stroke rehabilitation (12, 13). The underpinning mechanisms for telehealth rehabilitation should not differ from those observed in a clinical setting, given that it is a change of rehabilitation setting rather than a trial of different rehabilitation techniques. The benefits of telerehabilitation could be plentiful. One of the intuitive benefits is its potential to increase access to rehabilitation services. With the general increase in human lifespan and a global aging society, the WHO called for an increase in the provision of rehabilitation as a strategy to meet the Universal Health Coverage target set by the United Nations (14). In lower-middle income or developing countries, access to stroke services is often limited due to a shortage of rehabilitation staff (15). Patients in low- and middle-income countries are most likely to return home after acute care, increasing their need for home- and community-based rehabilitation services (16). Technological developments such as wearable sensors, portable training devices, or mobile health may supplement the provision of telerehabilitation after stroke. Global research and development trends of in the application of telerehabilitation after stroke remain uncertain. These uncertainties include the types of intervention, the outcome measures adopted, and the level of service adoption, as well as their reach, which were identified as barriers to the deployment of telerehabilitation for stroke services (4).

Bibliometric analysis is an analytical approach that provides an integrative view of profiling a specific scientific area. The main purpose of this bibliometric analysis is to identify core research or authors and their relationships by analyzing all publications related to a given field (17). It is an approach that explores the publication patterns, including the development trends over time and across the globe, the influence of the articles, the authors, and the journals. Bibliometric analysis relies on a large volume of data to provide abundant information on a topic, providing an understanding of the intellectual landscape of a specific topic through citation statistics, that is, the number of times they are cited in publications written by other scholars (18). It differs from a systematic review or meta-analysis as they focus on a specific research question, such as whether a specific type of intervention is effective for a specific population (19). A systematic review requires a careful analysis of the quality, quantity, and consistency of research findings (20). Findings from a systematic review provide evidence for policymakers to judge the risks, benefits, and harms of healthcare behaviors and interventions and provide a starting point for clinical practice guideline developers (21). Bibliometric analysis generates a combination of quantitative and narrative measurements, with greater emphasis on narratives to inform scholars about the trend of research and research impact in a wider context (22). It is an alternative option to a systematic review to map and visualize global research trends on telerehabilitation as part of stroke services. Instead of attempting to answer a specific question or evaluate the supporting evidence on one particular aspect, as in the case of a systematic review or meta-analysis, the central part of bibliometric analysis is the production of a bibliographic map to visualize the intellectual origins and the structure of the literature related to a specific topic over a period of time (23). Thus, bibliometric analysis was chosen to analyze the progress of research on telerehabilitation for stroke and to provide objective data on which to base future research. To date, no bibliometric analysis investigating the application of telerehabilitation after stroke has been found. The current study aimed to conduct a bibliometric analysis of the scientific literature published in the last few decades to discover trends and explore topics in the application of telerehabilitation after stroke.

Methods

Data source and search strategy

The procedure for conducting a bibliometric analysis was in accordance with the published guidelines (24). An overview of the bibliometric analysis procedure is illustrated in Figure 1. Data were retrieved from the Web of Science Core Collection database. The Web of Science Core Collection database contains 20,000 high-quality influential journals (25). The database contains comprehensive citation index records and is appropriate for data mining and citation analysis (26). Thus, it has been widely adopted in published bibliometric studies (2729). In addition, some of the citation metrics may vary between different databases. Citation counts were different for PubMed, Scopus, and the Web of Science, potentially due to the adequacies and different frequencies of citation updates (30) and the different number of journals indexed by each database (31). The labeling of article types also varies between databases (32). Thus, it is not feasible to combine citation metrics from multiple databases for analysis.

FIGURE 1
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Figure 1. A flowchart of the study procedure.

A literature search was conducted in June 2022 with the following search strings: ALL (“digital medicine” OR “telemedicine” OR “mHealth” OR “eHealth” OR “mobile health” OR “digital health” OR “telerehabilitation” OR “exergame” and ALL (“stroke” OR “ischemic stroke” OR “cerebral vascular accident”), and ALL (“rehabilitation” OR “hand function” OR “lower limb function” OR “cognitive function” OR “motor function” OR “gait” OR “speech” OR “fine motor skill” OR “gross motor skill”). Articles published between January 1999 and December 2021 were searched. Duplicates and erroneous titles were manually screened and removed by two researchers. The articles that did not contain the search terms were deemed to have erroneous titles and were removed from the analysis. Bibliometric data, including visual knowledge maps of authors, countries, institutions, and references, were analyzed in CiteSpace 5.3R4. The software CiteSpace is based on the Java platform and is applied to generate bibliometric data. VOSviewer was applied to produce a key term map showing phrases from the titles and abstracts of the publications. The publication records from the Web of Science Core Collection were input into VOSviewer to generate key term maps to illustrate the co-occurrence network of key terms and the collaboration network of countries. The computer software generates the diagram based on the number of occurrences of a particular key term and its co-occurrences. The size of the nodes corresponds to the number of co-occurrences of the citations. Larger nodes denote a greater number of occurrences or citations. Only key terms that appeared more than 20 times were included.

Results

Landscape overview

The literature search returned a total of 15,922 records. After removing duplicates and erroneous titles, 6,787 items were included. A gradual increase in the number of publications was observed throughout the years. The number of publications peaked between 2019 and 2021, coinciding with the years of the COVID-19 outbreak. Figure 2 presents a graphical illustration of the number of publications between January 1999 and December 2021.

FIGURE 2
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Figure 2. The number of publications between 1999 and 2021.

Most productive entities

A total of 113 countries had at least one publication in this research field. Figure 1 depicts the link strength of collaboration among all countries. Table 1 presents the top 10 countries that are most productive. Nine out of the 10 most productive countries are developed countries. Figure 3 presents collaboration link strength between each productive/involved country. The top 10 most productive institutes are presented in Table 2. All 10 productive countries are found in developed countries. The top 10 keywords in the published literature are presented in Table 3. The top two keywords are stroke and telemedicine, followed by telerehabilitation. The results of a keyword search might indicate that rehabilitation had not been studied as extensively as the medical aspect of stroke. The link strength of the keywords is shown in Figure 4. The 10 most productive journals are listed in Table 4. The top three journals are specialized in stroke, whereas three journals are specialized in healthcare services.

TABLE 1
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Table 1. The top 10 countries that are productive in this research area.

FIGURE 3
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Figure 3. The strength of the collaboration link between each productive/involved country with more than 20 publications.

TABLE 2
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Table 2. The top 10 keywords in the published literature of this specialized field.

TABLE 3
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Table 3. The top 10 productive institutes.

FIGURE 4
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Figure 4. The link strength map of keywords.

TABLE 4
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Table 4. The top 10 journals that are productive in this specialized field.

Discussions

Major findings

This bibliometric analysis analyzed 6,783 publications on telerehabilitation for patients with stroke. Telerehabilitation for stroke is gaining global attention, as evidenced by contributions to the scientific literature from Europe, North America, Asia, and Oceania. The increased use of the Internet via smartphones and wearable devices has been the primary driver of the application of telerehabilitation programs in the last few decades. Starting in 2019, there was a sharp increase in the number of publications that peaked in 2021, confirming the catalytic effect of the COVID-19 pandemic on the adoption of the telerehabilitation application (33).

Various applications of the telerehabilitation method have been observed throughout the years. The types of telerehabilitation interventions have been broadly divided into three categories: phone- or video-based, computer- or game-based, and mobile application-based. Phone- or video-based telerehabilitation may include the adoption of telephone services and video conference technologies to provide functional exercise and adaptive strategies for patients with stroke or their caregivers (3440). Some studies reported a dedicated connection system to improve usability and system stability. Phone-based telerehabilitation services remain a popular method in the delivery of rehabilitation programs, likely due to their accessibility and lack of specific equipment. A computer- or game-based telerehabilitation program involves a purpose-built rehabilitation device with bespoke software or a commercial gaming device to provide a rehabilitation program that is not necessarily under supervision. Balance exercises and upper- and lower-limb functional training are common interventions delivered through computer systems (811, 35, 38, 4143).

Computer-based programs were also designed for cognitive function (44, 45) and speech function (46). Mobile application-based interventions include using customized developed mobile phone programs to induce behavior change (47) and utilizing smartphones' built-in sensors to monitor upper limb motion (48).

Nine of the top 10 productive/active countries and the top 10 institutes that are productive and heavily or actively involved in this research field are in developed countries. These findings reflect the capability to implement telerehabilitation in developed countries. In contrast, it might be challenging to introduce a digital program in developing countries or underdeveloped regions with challenging environments (49). The early implementation of telerehabilitation was market driven, and some of the most successful digital healthcare programs were sponsored or driven by global telecommunications industries (50). As a result, more resources were available for research publications generated in developed countries than in developing countries. China is the world's largest developing country (51), and stroke is the leading cause of disability-adjusted life years nationally (52). The commitment to developing remote stroke services in China was witnessed through the establishment of the National Telestroke Center in 2014 to provide a nationwide network platform for stroke services. The 13th Five-Year Plan for National Economic and Social Development of the People's Republic of China called for comprehensive prevention and control of chronic diseases, which resulted in a large number of published studies on the management of stroke (53). Rapid economic growth over the past decade and its heavy investment in the development of healthcare technology to combat the rising cost of stroke care may contribute to the observed number of publications.

The incorporation of digital programs into mainstream healthcare services remains a complex problem and is a particularly challenge in developing countries (54). It requires a change in the work processes of healthcare organizations (55) and in the behaviors of patients. The data from the present study indicated that the research trend focused primarily on the clinical feasibility and effectiveness of telerehabilitation for patients with stroke. The weight of evidence tends to support the idea that the clinical benefit is at least as effective as offline consultations. The results for the searched keywords indicate that data on the perspectives of users of digital products or the potential barriers to adapting telerehabilitation for patients with stroke are minimal. Previous literature highlighted barriers to adapting telerehabilitation services, such as negative patient attitudes toward a change from traditional face-to-face consultation (56) and a lack of guidelines for requesting telerehabilitation programs (57). Other potential barriers may include the physical characteristics of the device (e.g., small text fronts and screen brightness), the terminology associated with a digital device (e.g., scrollbar, cursor, and browser) (58), the cost of adopting a digital service (e.g., Internet access and purchase of the digital device), or a slow Internet connection (59). Further research in these particular areas is warranted to facilitate the integration of telerehabilitation as part of stroke services.

Conclusion

The findings of this study enable the identification of a major contributor in the application of telerehabilitation to stroke services and form the basis for future research. In the field of telerehabilitation for stroke services, more than 6,000 publications were found. The analyzed literature had global contributions, with the heaviest contribution coming from the USA, followed by China and Germany. The global impact of telerehabilitation supports its potential benefits and diversity, and further improvements in these technologies are expected to enhance functionality and accessibility for patients. More relevant research is encouraged to understand the barriers to the increased adaptation of telerehabilitation services, which will result in a significant therapeutic or preventive impact. Future collaboration between high- and low-income countries to identify the requirements of users from different backgrounds may facilitate the clinical translation of telerehabilitation technologies.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

DW and HZ were involved in the literature search and drafting of the manuscript. YL, KL, and SL were involved in the analysis, interpretation, and drafting of the manuscript. WL was responsible for the design of the study protocol, analysis, manuscript revision, and management of the study. All authors have read and approved the final manuscript and meet the four primary ICMJE authorship criteria.

Funding

This study is supported by the Natural Science Foundation of China (Grant no. 81971224) and the Medical Scientific Research Foundation of Guangdong Province of China (Grant no. A2021334).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Crichton SL, Bray BD, McKevitt C, Rudd AG, Wolfe CDA. Patient outcomes up to 15 years after stroke: survival, disability, quality of life, cognition and mental health. J Neurol Neurosurg Psychiatry. (2016) 87:1091–8. doi: 10.1136/jnnp-2016-313361

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Frigerio P, Monte LD, Sotgiu A, De Giacomo C, Vignoli A. Parents' satisfaction of tele-rehabilitation for children with neurodevelopmental disabilities during the COVID-19 pandemic. BMC Primary Care. (2022) 23:146–146. doi: 10.1186/s12875-022-01747-2

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ernstzen D, Keet J, Louw K-A, Park-Ross J, Pask L, Reardon C, et al. “So, you must understand that that group changed everything”: perspectives on a telehealth group intervention for individuals with chronic pain. BMC Musculoskelet Disord. (2022) 23:538. doi: 10.1186/s12891-022-05467-7

PubMed Abstract | CrossRef Full Text | Google Scholar

4. English C, Ceravolo MG, Dorsch S, Drummond A, Gandhi DB, Green JH, et al. Telehealth for rehabilitation and recovery after stroke: state of the evidence and future directions. Int J Stroke. (2022) 17:487–93. doi: 10.1177/17474930211062480

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Brennan DM, Mawson S, Brownsell S. Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self management. Stud Health Technol Inform. (2009) 145:231–48. doi: 10.3233/978-1-60750-018-6-231

PubMed Abstract | CrossRef Full Text | Google Scholar

6. WHO. M-Health: New Horizons for Health through Mobile Technologies, in Global Observatory for eHealth Series. Geneva: WHO (2011), p. 5–6.

Google Scholar

7. Wan L-H, Zhang X-P, Mo M-M, Xiong X-N, Ou C-L, You L-M, et al. Effectiveness of goal-setting telephone follow-up on health behaviors of patients with ischemic stroke: a randomized controlled trial. J Stroke Cerebrovasc Dis. (2016) 25:2259–70. doi: 10.1016/j.jstrokecerebrovasdis.2016.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Huijgen BCH, Vollenbroek-Hutten MMR, Zampolini M, Opisso E, Bernabeu M, Van Nieuwenhoven J, et al. Feasibility of a home-based telerehabilitation system compared to usual care: arm/hand function in patients with stroke, traumatic brain injury and multiple sclerosis. J Telemed Telecare. (2008) 14:249–56. doi: 10.1258/jtt.2008.080104

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Lloréns R, Noé E, Colomer C, Alcañiz M. Effectiveness, usability, and cost-benefit of a virtual reality-based telerehabilitation program for balance recovery after stroke: a randomized controlled trial. Arch Phys Med Rehabil. (2015) 96:418–25.e2. doi: 10.1016/j.apmr.2014.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Piron L, Turolla A, Agostini M, Zucconi C, Cortese F, Zampolini M, et al. Exercises for paretic upper limb after stroke: a combined virtual-reality and telemedicine approach. J Rehabil Med. (2009) 41:1016–102. doi: 10.2340/16501977-0459

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Deng H, Durfee WK, Nuckley DJ, Rheude BS, Severson AE, Skluzacek KM, et al. Complex versus simple ankle movement training in stroke using telerehabilitation: a randomized controlled trial. Phys Ther. (2012) 92:197–209. doi: 10.2522/ptj.20110018

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Laver KE, Adey-Wakeling Z, Crotty M, Lannin NA, George S, Sherrington C, et al. Telerehabilitation services for stroke. Cochrane Database Syst Rev. (2013) 2013:Cd010255. doi: 10.1002/14651858.CD010255.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Laver KE, Adey-Wakeling Z, Crotty M, Lannin NA, George S, Sherrington C, et al. Telerehabilitation services for stroke. Cochrane Database Syst Rev. (2020) 1:Cd010255. doi: 10.1002/14651858.CD010255.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Gimigliano F, Negrini S. The World Health Organization “Rehabilitation 2030: a call for action”. Eur J Phys Rehabil Med. (2017) 53:155–68. doi: 10.23736/S1973-9087.17.04746-3

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Bernhardt J, Urimubenshi G, Gandhi DBC, Eng JJ. Stroke rehabilitation in low-income and middle-income countries: a call to action. Lancet. (2020) 396:1452–62. doi: 10.1016/S0140-6736(20)31313-1

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bettger JP, Liu C, Gandhi DBC, Sylaja PN, Jayaram N, Pandian JD, et al. Emerging areas of stroke rehabilitation research in low- and middle-income countries: a scoping review. Stroke. (2019) 50:3307–13. doi: 10.1161/STROKEAHA.119.023565

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Han J, Kang H-J, Kim M, Kwon GH. Mapping the intellectual structure of research on surgery with mixed reality: bibliometric network analysis (2000–2019). J Biomed Inform. (2020) 109:103516. doi: 10.1016/j.jbi.2020.103516

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Jones AW. Forensic journals: Bibliometrics and journal impact factors. In:Payne-James J, Byard RW, , Editors. Encyclopedia of Forensic and Legal Medicine (Second Edition). Oxford: Elsevier (2016). p. 528–38.

Google Scholar

19. Tarbox J. Series foreword: critical specialities in treating autism and other behavioral challenges. In:Wilczynski SM, , editor. A Practical Guide to Finding Treatments That Work for People with Autism. San Diego, CA: Academic Press (2017), p. vii–viii.

Google Scholar

20. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. (2009) 339:b2700. doi: 10.1136/bmj.b2700

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Young C, Horton R. Putting clinical trials into context. Lancet. (2005) 366:107–8. doi: 10.1016/S0140-6736(05)66846-8

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Iping R, Kroon M, Steegers C, van Leeuwen T. A research intelligence approach to assess the research impact of the Dutch university medical centres. Health Res Policy Syst. (2022) 20:118. doi: 10.1186/s12961-022-00926-y

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Linnenluecke MK, Marrone M, Singh AK. Conducting systematic literature reviews and bibliometric analyses. Aust J Manag. (2019) 45:175–94. doi: 10.1177/0312896219877678

CrossRef Full Text | Google Scholar

24. Donthu N, Kumar S, Mukherjee D, Pandey N, Marc Lim W. How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res. (2021) 133:285–96. doi: 10.1016/j.jbusres.2021.04.070

CrossRef Full Text | Google Scholar

25. Dong Y, Weng L, Hu Y, Mao Y, Zhang Y, Lu Z, et al. Exercise for stroke rehabilitation: a bibliometric analysis of global research from 2001 to 2021. Front Aging Neurosci. (2022) 14:876954. doi: 10.3389/fnagi.2022.876954

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Waqas A, Teoh SH, Lapão LV, Messina LA, Correia JC. Harnessing telemedicine for the provision of health care: bibliometric and scientometric analysis. J Med Internet Res. (2020) 22:e18835. doi: 10.2196/18835

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Wilson M, Sampson M, Barrowman N, Doja A. Bibliometric analysis of neurology articles published in general medicine journals. JAMA Netw Open. (2021) 4:e215840–e215840. doi: 10.1001/jamanetworkopen.2021.5840

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Yan W, Zheng K, Weng L, Chen C, Kiartivich S, Jiang X, et al. Bibliometric evaluation of 2000-2019 publications on functional near-infrared spectroscopy. Neuroimage. (2020) 220:117121. doi: 10.1016/j.neuroimage.2020.117121

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Ellegaard O, Wallin JA. The bibliometric analysis of scholarly production: How great is the impact? Scientometrics. (2015) 105:1809–31. doi: 10.1007/s11192-015-1645-z

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Falagas ME, Pitsouni EI, Malietzis GA, Pappas G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. FASEB J. (2008) 22:338–42. doi: 10.1096/fj.07-9492LSF

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Anker MS, Hadzibegovic S, Lena A, Haverkamp W. The difference in referencing in Web of Science, Scopus, and Google Scholar. ESC Heart Fail. (2019) 6:1291–312. doi: 10.1002/ehf2.12583

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Yeung A. Comparison between Scopus, Web of Science, PubMed and publishers for mislabelled review papers. Curr Sci. (2019) 116:1909–14. doi: 10.18520/cs/v116/i11/1909-1914

CrossRef Full Text | Google Scholar

33. Wosik J, Fudim M, Cameron B, Gellad ZF, Cho A, Phinney D, et al. Telehealth transformation: COVID-19 and the rise of virtual care. J Am Med Inform Assoc. (2020) 27:957–62. doi: 10.1093/jamia/ocaa067

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Chumbler NR, Quigley P, Li X, Morey M, Rose D, Sanford J, et al. Effects of telerehabilitation on physical function and disability for stroke patients. Stroke. (2012) 43:2168–74. doi: 10.1161/STROKEAHA.111.646943

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Chen J, Sun D, Zhang S, Shi Y, Qiao F, Zhou Y, et al. Effects of home-based telerehabilitation in patients with stroke. Neurology. (2020) 95:e2318. doi: 10.1212/WNL.0000000000010821

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Lin K-H, Chen C-H, Chen Y-Y, Huang W-T, Lai J-S, Yu S-M, et al. Bidirectional and multi-user telerehabilitation system: clinical effect on balance, functional activity, and satisfaction in patients with chronic stroke living in long-term care facilities. Sensors. (2014) 14:12451–66. doi: 10.3390/s140712451

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Mayo NE, Nadeau L, Ahmed S, White C, Grad R, Huang A, et al. Bridging the gap: the effectiveness of teaming a stroke coordinator with patient's personal physician on the outcome of stroke. Age Ageing. (2008) 37:32–8. doi: 10.1093/ageing/afm133

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Rochette A, Korner-Bitensky N, Bishop D, Teasell R, White CL, Bravo G, et al. The YOU CALL-WE CALL randomized clinical trial: Impact of a multimodal support intervention after a mild stroke. Circ Cardiovasc Qual Outcomes. (2013) 6:674–9. doi: 10.1161/CIRCOUTCOMES.113.000375

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Saal S, Becker C, Lorenz S, Schubert M, Kuss O, Stang A, et al. Effect of a stroke support service in Germany: a randomized trial. Top Stroke Rehabil. (2015) 22:429–36. doi: 10.1179/1074935714Z.0000000047

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Chen J, Jin W, Dong WS, Jin Y, Qiao FL, Zhou YF, et al. Effects of home-based telesupervising rehabilitation on physical function for stroke survivors with hemiplegia: a randomized controlled trial. Am J Phys Med Rehabil. (2017) 96:152–60. doi: 10.1097/PHM.0000000000000559

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Lin KH, Chen CH, Chen YY, Huang WT, Lai JS, Yu SM, et al. Bidirectional and multi-user telerehabilitation system: clinical effect on balance, functional activity, and satisfaction in patients with chronic stroke living in long-term care facilities. Sensors (Basel). (2014) 14:12451–66.

PubMed Abstract | Google Scholar

42. Piron L, Turolla A, Tonin P, Piccione F, Lain L, Dam M, et al. Satisfaction with care in post-stroke patients undergoing a telerehabilitation programme at home. J Telemed Telecare. (2008) 14:257–60. doi: 10.1258/jtt.2008.080304

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Linder SM, Rosenfeldt AB, Bay RC, Sahu K, Wolf SL, Alberts JL, et al. Improving quality of life and depression after stroke through telerehabilitation. Am J Occup Ther. (2015) 69:6902290020p1–10. doi: 10.5014/ajot.2015.014498

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Edwards D, Williams J, Carrier J, Davies J. Technologies used to facilitate remote rehabilitation of adults with deconditioning, musculoskeletal conditions, stroke, or traumatic brain injury: an umbrella review. JBI Evid Synth. (2022) 20:1927–68.

PubMed Abstract | Google Scholar

45. Aparicio-López C, García-Molina A, García-Fernández J, López-Blázquez R, Enseñat-Cantallops A, Sánchez-Carrión R, et al. Combination treatment in the rehabilitation of visuo-spatial neglect. Psicothema. (2016) 28:143–9. doi: 10.7334/psicothema2015.93

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Woolf C, Caute A, Haigh Z, Galliers J, Wilson S, Kessie A, et al. A comparison of remote therapy, face to face therapy and an attention control intervention for people with aphasia: a quasi-randomised controlled feasibility study. Clin Rehabil. (2016) 30:359–73. doi: 10.1177/0269215515582074

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Paul L, Wyke S, Brewster S, Sattar N, Gill JMR, Alexander G, et al. Increasing physical activity in stroke survivors using STARFISH, an interactive mobile phone application: a pilot study. Top Stroke Rehabil. (2016) 23:170–7. doi: 10.1080/10749357.2015.1122266

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Choi YH, Paik NJ. Mobile game-based virtual reality program for upper extremity stroke rehabilitation. J Vis Exp. (2018) 56241. doi: 10.3791/56241

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Safavi K, Mathews SC, Bates DW, Dorsey ER, Cohen AB. Top-funded digital health companies and their impact on high-burden, high-cost conditions. Health Aff. (2019) 38:115–23. doi: 10.1377/hlthaff.2018.05081

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Istepanian RSH. Mobile health (m-Health) in retrospect: the known unknowns. Int J Environ Res Public Health. (2022) 19:3747. doi: 10.3390/ijerph19073747

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Fang Q, Shang D, Zhang Y, Geng X, Liu F, Zhang Q, et al. Will the zero-margin drug policy reduce the economic burden of stroke patients in China? J Glob Health. (2021) 11:08007. doi: 10.7189/jogh.11.08007

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Zhou M, Wang H, Zeng X, Yin P, Zhu J, Chen W, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. (2019) 394:1145–58. doi: 10.1016/S0140-6736(19)30427-1

PubMed Abstract | CrossRef Full Text | Google Scholar

53. World Stroke Organization. Statement on Stroke Care in China. (2019) (accessed 18 July, 2022).

Google Scholar

54. Leochico CFD, Espiritu AI, Ignacio SD, Mojica JAP. Challenges to the emergence of telerehabilitation in a developing country: a systematic review. Front Neurol. (2020) 11:1007. doi: 10.3389/fneur.2020.01007

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Eysenbach G. What is e-health? J Med Internet Res. (2001) 3:E20. doi: 10.2196/jmir.3.2.e20

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Sahu M, Grover A, Joshi A. Role of mobile phone technology in health education in Asian and African countries: a systematic review. Int J Electron Healthc. (2014) 7:269–86. doi: 10.1504/IJEH.2014.064327

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Nguyen QT, Naguib RNG, Ghani MKA, Bali RK, Lee IM. An analysis of the healthcare informatics and systems in Southeast Asia: a current perspective from seven countries. Int J Electron Healthc. (2008) 4:184–207. doi: 10.1504/IJEH.2008.019792

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Wandke H, Sengpiel M, Sönksen M. Myths about older people's use of information and communication technology. Gerontology. (2012) 58:564–70. doi: 10.1159/000339104

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Leochico CFD, Valera MJS. Follow-up consultations through telerehabilitation for wheelchair recipients with paraplegia in a developing country: a case report. Spinal Cord Ser Cases. (2020) 6:58. doi: 10.1038/s41394-020-0310-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: stroke, telerehabilitation, rehabilitation, bibliometric analysis, cerebral vascular accident (CVA)

Citation: Wu D, Zhang H, Leng Y, Li K, Li S and Lo WLA (2023) A bibliometric analysis of telerehabilitation services for patients with stroke. Front. Neurol. 13:1026867. doi: 10.3389/fneur.2022.1026867

Received: 24 August 2022; Accepted: 30 November 2022;
Published: 09 January 2023.

Edited by:

Yue Lan, Guangzhou First People's Hospital, China

Reviewed by:

Gelu Onose, University of Medicine and Pharmacy “Carol Davila”, Bucharest, Romania
Huixian Yu, Capital Medical University, China

Copyright © 2023 Wu, Zhang, Leng, Li, Li and Lo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yan Leng, yes lengyan@mail2.sysu.edu.cn; Wai Leung Ambrose Lo, yes luowliang@mail.sysu.edu.cn

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.