Bibliometric Analysis of Psychosocial Factors in Telehealth Subdisciplines

Abstract

This study examined the bibliometric characteristics of scientific publications addressing psychosocial factors for healthcare professionals within the sub-disciplines of telemedicine. A total of 1,123 original research articles published between 2014 and 2025 were retrieved from the Scopus and Web of Science databases. Only survey-based, questionnaire-based, and cross-sectional studies were included. Data management and analysis were conducted using the PyBibX library, supported by natural language processing and text-mining techniques. Publication trends, leading countries, institutions, authors, and journals, as well as the conceptual and intellectual structure of the literature, were systematically analyzed. The findings indicate a substantial growth in research output following the COVID-19 pandemic. The United States emerged as the dominant contributor in terms of publication volume and citation impact. Telepharmacy and teledentistry were identified as the most extensively studied subfields in relation to psychosocial dimensions, whereas teleurology, telegeriatrics, and teleoncology revealed significant research gaps. The literature predominantly focuses on healthcare professionals’ attitudes, perceptions, and satisfaction. Overall, the results demonstrate that telemedicine represents not only a technological innovation but also a healthcare model with strong social and psychological implications. Future studies should prioritize underexplored sub-disciplines and address the needs of vulnerable populations to enhance inclusive and sustainable telemedicine practices.

Keywords

• Telemedicine
• Telehealth
• Psychosocial Factors
• Health Management
• Organizational Behavior
• Artificial Intelligence

Tele-tıp Alt Disiplinlerinde Psikososyal Faktörlerin Bibliyometrik Analizi

Abstract

Bu çalışma, tele-tıp alt disiplinlerinde sağlık profesyonellerine yönelik psikososyal faktörleri ele alan bilimsel yayınların bibliyometrik özellikleri incelemektedir. Araştırma kapsamında, Scopus ve Web of Science veritabanlarından 2014-2025 yılları arasında yayımlanmış, anket, ölçek ve kesitsel tasarıma sahip 1.123 özgün araştırma makalesi analiz edilmiştir. Veri yönetimi ve analiz süreçlerinde PyBibX kütüphanesi, doğal dil işleme ve metin madenciliği teknikleri kullanılmıştır. Çalışmada yayın eğilimleri, önde gelen ülkeler, kurumlar, yazarlar ve dergiler ile literatürün kavramsal ve entelektüel yapısı değerlendirilmiştir. Bulgular, özellikle COVID-19 pandemisi sonrasında tele-tıp alanında yayın sayısında belirgin bir artış yaşandığını göstermektedir. Amerika Birleşik Devletleri’nin yayın ve atıf bakımından alanda baskın konumda olduğu belirlenmiştir. Tele-Eczacılık ve Tele-Diş Hekimliği alt alanlarının psikososyal faktörler açısından en yoğun şekilde çalışılan alanlar olduğu, buna karşılık Tele-Üroloji, Tele-Geriatri ve Tele-Onkoloji gibi disiplinlerde önemli araştırma boşlukları bulunduğu tespit edilmiştir. Literatürün büyük ölçüde sağlık çalışanlarının tutumları, algıları ve memnuniyet düzeylerine odaklandığı görülmektedir. Sonuç olarak, telemedicine uygulamalarının yalnızca teknolojik değil, aynı zamanda önemli sosyal ve psikolojik boyutlara sahip olduğu ortaya konulmuştur. Gelecek araştırmaların, yetersiz incelenen alt disiplinlere yönelmesi ve kırılgan grupların ihtiyaçlarını dikkate alması önerilmektedir.

Keywords

• Telemedicine
• Telehealth
• Psikososyal Faktörler
• Sağlık Yönetimi
• Örgütsel Davranış
• Yapay Zeka

References

1. Adeogun, A., & Faezipour, M. (2025). Assessing the impact of telemedicine on patient satisfaction before and during the COVID-19 pandemic. Healthcare, 13(17), 2095. https://doi.org/10.3390/healthcare13172095
2. Ahmed Kamal, M., Ismail, Z., Shehata, I. M., Djirar, S., Talbot, N. C., Ahmadzadeh, S., ... & Kaye, A. D. (2023). Telemedicine, E-health, and multi-agent systems for chronic pain management. Clinics and Practice, 13(2), 470-482. https://doi.org/10.3390/clinpract13020042
3. Alexander, G. C., Tajanlangit, M., Heyward, J., Mansour, O., Qato, D., & Stafford, R. S. (2020). Use and content of primary care office-based vs telemedicine care visits during the COVID-19 pandemic in the US. JAMA Network Open, 3(10), e2021476. https://doi.org/10.1001/jamanetworkopen.2020.21476
4. Alhur, A., & Alhur, A. A. (2022). The acceptance of digital health: what about telepsychology and telepsychiatry?. Jurnal Sistem Informasi, 18(2), 18-35. https://doi.org/10.21609/jsi.v18i2.1143
5. Al-Mana, N., Khalil, S., Qari, A., Eldigire, M., Alshehri, W., & Baabdullah, L. (2024). Evaluation of the use of telehealth in dietetics practice during the COVID-19 pandemic in the Kingdom of Saudi Arabia. Proceedings of the Nutrition Society, 83(OCE2). https://doi.org/10.1017/S0029665124004324
6. Alghamdi, S. M., Alqahtani, J. S., & Aldhahir, A. M. (2020). Current status of telehealth in Saudi Arabia during COVID-19. Journal of Family and Community Medicine, 27(3), 208-212. https://doi.org/10.4103/jfcm.jfcm_295_20
7. Alonso, S. G., Marques, G., Barrachina, I., Garcia-Zapirain, B., Arambarri, J., Salvador, J. C., & de la Torre Díez, I. (2021). Telemedicine and e-Health research solutions in literature for combatting COVID-19: a systematic review. Health and technology, 11(2), 257-266. https://doi.org/10.1007/s12553-021-00529-7
8. Bashshur, R. L., Shannon, G. W., Bashshur, N., & Yellowlees, P. M. (2016). The empirical evidence for telemedicine interventions in mental disorders. Telemedicine and e-Health, 22(2), 87-113. https://doi.org/10.1089/tmj.2015.0206

9. Bernuzzi, C., Piccardo, M. A., & Guglielmetti, C. (2025, May). Mapping Research Trends on the Implications of Telemedicine for Healthcare Professionals: A Comprehensive Bibliometric Analysis. Healthcare, 13(10), 1149. https://doi.org/10.3390/healthcare13101149
10. Buis, L. R., McGovern, C. A., & Doarn, C. R. (2024). Telehealth research strategies in a post–COVID-19 era: A roadmap for the coming decade. Telemedicine and e-Health, 30(12), 2772-2775. https://doi.org/10.1089/tmj.2024.0520
11. Campbell, I. M., Crowley, T. B., Keena, B., Donoghue, S., McManus, M. L., & Zackai, E. H. (2022). The experience of one pediatric geneticist with telemedicine‐based clinical diagnosis. American Journal of Medical Genetics Part A, 188(12), 3416-3422. https://doi.org/10.1002/ajmg.a.62920
12. Chand, K., Kumar, P., Sushila, Laxmi, Yadav, S., & Singh, M. P. (2025, November). Scientific Landscape of Telemedicine and Digital Healthcare: A Bibliometric Approach to Research Dynamics (2012–2025). In International Conference on Optimization and Data Science in Industrial Engineering (pp. 87-120). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-17020-0_6
13. Chiu, C. Y., Sarwal, A., Jawed, M., Chemarthi, V. S., & Shabarek, N. (2021). Telemedicine experience of NYC internal medicine residents during COVID-19 pandemic. PLoS One, 16(2), e0246762. https://doi.org/10.1371/journal.pone.0246762
14. Cortez, C., Mansour, O., Qato, D., Stafford, R., & Alexander, G. (2021). Changes in short-term, long-term, and preventive care delivery in US office-based and telemedicine visits during the COVID-19 pandemic. JAMA Health Forum, 2(7), e211529. https://doi.org/10.1001/jamahealthforum.2021.1529
15. Cuevas-González, D., García-Vázquez, J. P., Bravo-Zanoguera, M., López-Avitia, R., Reyna, M. A., Zermeño-Campos, N. A., & González-Ramírez, M. L. (2022). ECG standards and formats for interoperability between mHealth and healthcare information systems: a scoping review. International journal of environmental research and public health, 19(19), 11941. https://doi.org/10.3390/ijerph191911941
16. Davydov, G. (2023). Revolutionizing healthcare delivery: The transformative impact of telemedicine in the post-pandemic era. Journal for International Medical Graduates, 2(1). https://doi.org/10.56570/jimgs.v2i1.90
17. Edge, R., Meyers, J., Tiernan, G., Li, Z., Schiavuzzi, A., Chan, P., & Taylor, N. (2021). Cancer care disruption and reorganisation during the COVID-19 pandemic in Australia: A patient, carer and healthcare worker perspective. PLoS ONE, 16(9), e0257420. https://doi.org/10.1371/journal.pone.0257420
18. Eid, M. F. (2024). Using artificial intelligence in electronic health record systems to mitigate physician burnout: a roadmap. Journal of Healthcare Management, 69(4), 244-254. https://doi.org/10.1097/jhm-d-24-00094
19. El-Miedany, Y. (2017). Telehealth and telemedicine: how the digital era is changing standard health care. Smart Homecare Technology and Telehealth, 43-51. https://doi.org/10.2147/SHTT.S116009
20. Ftouni, R., AlJardali, B., Hamdanieh, M., Ftouni, L., & Salem, N. (2022). Challenges of telemedicine during the COVID-19 pandemic: a systematic review. BMC medical informatics and decision making, 22(1), 207. https://doi.org/10.1186/s12911-022-01952-0
21. Gunasekeran, D. V., Tseng, R. M., Tham, Y. C., & Wong, T. Y. (2021). Applications of digital health for public health responses to COVID-19: A systematic scoping review of artificial intelligence, telehealth, and related technologies. NPJ Digital Medicine, 4(1). https://doi.org/10.1038/s41746-021-00412-9
22. Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288. https://doi.org/10.1177/1049732305276687
23. Kaveh, M., Faradonbeh, M., & Kaveh, S. (2021). Telehealth impact on biomedical, psychosocial, and behavioural outcomes in patients with diabetes older than 50 years: A systematic synthesis without meta-analysis. Journal of Telemedicine and Telecare, 30(2), 285-304. https://doi.org/10.1177/1357633X211052222
24. Keuper, J., van Tuyl, L. H., de Geit, E., Rijpkema, C., Vis, E., Batenburg, R., & Verheij, R. (2024). The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review. BMC Health Services Research, 24(1), 1099. https://doi.org/10.1186/s12913-024-11524-9
25. Kruse, C. S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., & Brooks, M. (2017). Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ open, 7(8), e016242. https://doi.org/10.1136/bmjopen-2017-016242
26. Scott Kruse, C., Karem, P., Shifflett, K., Vegi, L., Ravi, K., & Brooks, M. (2018). Evaluating barriers to adopting telemedicine worldwide: a systematic review. Journal of telemedicine and telecare, 24(1), 4-12. https://doi.org/10.1177/1357633X16674087
27. Kumar, A., Sinha, S., Jameel, J., & Kumar, S. (2022). Telemedicine trends in orthopaedics and trauma during the COVID-19 pandemic: A bibliometric analysis and review. Journal of Taibah University Medical Sciences, 17(2), 203-213. https://doi.org/10.1016/j.jtumed.2021.09.003
28. Mandal, S., Wiesenfeld, B., Mann, D., Lawrence, K., Chunara, R., Testa, P., & Nov, O. (2022). Evidence for telemedicine’s ongoing transformation of healthcare delivery since the onset of COVID-19. JMIR Formative Research, 6(10), e38661. https://doi.org/10.2196/38661
29. Ncube, B., Mars, M., & Scott, R. E. (2023). Recommendations for developing a telemedicine strategy for Botswana: a meta-synthesis. International Journal of Environmental Research and Public Health, 20(18), 6718. https://doi.org/10.3390/ijerph20186718
30. Neumann, A., König, H. H., & Hajek, A. (2024). Determinants of telemedicine service use among middle-aged and older adults in Germany during the COVID-19 pandemic: cross-sectional survey study. JMIR aging, 7(1), e50938. https://doi.org/10.2196/50938
31. Nuari, N. A. (2022). Telehealth and telemedicine applications in the management of diabetes mellitus during pandemic covid 19: Bibliometric analysis. International Journal Of Health Science, 2(3), 169-176. https://doi.org/10.55606/ijhs.v2i3.593
32. Olorunsogo, T. O., Balogun, O. D., Ayo-Farai, O., Ogundairo, O., Maduka, C. P., Okongwu, C. C., & Onwumere, C. (2024). Reviewing the evolution of US telemedicine post-pandemic by analyzing its growth, acceptability, and challenges in remote healthcare delivery during Global Health Crises. World Journal of Biology Pharmacy and Health Sciences, 17(1), 075-090. https://doi.org/10.30574/wjbphs.2024.17.1.0010
33. Pereira, V., Basilio, M. P., & Santos, C. H. T. (2025). PyBibX–a Python library for bibliometric and scientometric analysis powered with artificial intelligence tools. Data Technologies and Applications, 59(2), 302-337. https://doi.org/10.1108/DTA-08-2023-0461
34. Rahman, R., Keenan, J., & Hudson, J. (2020). Exploring rural palliative care patients’ experiences of accessing psychosocial support through telehealth: A longitudinal approach. Qualitative Research in Medicine & Healthcare, 4(1), 8821. https://doi.org/10.4081/qrmh.2020.8821
35. Richardson, S., Lawrence, K., Schoenthaler, A., & Mann, D. (2022). A framework for digital health equity. NPJ Digital Medicine, 5(1). https://doi.org/10.1038/s41746-022-00663-0
36. Roghani, A., & Panahi, S. (2021). Does telemedicine reduce health disparities? Longitudinal evidence during the COVID-19 pandemic in the US. MedRxiv. https://doi.org/10.1101/2021.03.01.21252330
37. Ch, A. S., Pervaiz, F., Nawaz, H., Rafiq, S., Bibi, Y., Almagharbeh, W. T., & Mobeen, M. (2025). Health equity in telemedicine: Addressing dis-parities in digital healthcare access-a narrative review-s. Insights J Life Soc Sci, 3(2), 56-62. https://doi.org/10.71000/rw9xsy20
38. Sahoo, D. (2025). Chapter-6 The Rise of Intelligent Hyper-Automation: Reinventing Business with Artificial Intelligence (AI) & Machine Learning (ML). And Practice OF, 129.
39. Sarraf, B., & Ghasempour, A. (2025). Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review. Frontiers in Public Health, 13, 1628831. https://doi.org/10.3390/fpubh.2025.1628831
40. Schenker, R., Laguna, M., Odisho, A., Okumura, M., & Burnett, H. (2021). Are we reaching everyone? Telehealth inequity in the COVID-19 pandemic in pediatric primary care. Clinical Pediatrics, 61(1), 26-33. https://doi.org/10.1177/00099228211045809
41. Shah, A. C., & Badawy, S. M. (2021). Telemedicine in pediatrics: Systematic review of randomized controlled trials. JMIR Pediatrics and Parenting, 4(1), e22696. https://doi.org/10.2196/22696
42. Shah, N., Krupinski, E., Bernard, J., & Moyer, M. (2021). The evolution and utilization of telehealth in ambulatory nutrition practice. Nutrition in Clinical Practice, 36(4), 739-749. https://doi.org/10.1002/ncp.10641
43. Shamszare, H., & Choudhury, A. (2023, August). Clinicians’ perceptions of artificial intelligence: focus on workload, risk, trust, clinical decision making, and clinical integration. Healthcare 11(16), 2308. https://doi.org/10.3390/healthcare11162308
44. Sikandar, H., Vaicondam, Y., Parveen, S., Khan, N., & Qureshi, M. I. (2021). Bibliometric Analysis of Telemedicine and E-Health Literature. International Journal of Online & Biomedical Engineering, 17(12). https://doi.org/10.3991/ijoe.v17i12.25483
45. Sora, B., Nieto, R., Del Campo, A. M., & Armayones, M. (2021). Acceptance and use of telepsychology from the clients’ perspective: Questionnaire study to document perceived advantages and barriers. JMIR mental health, 8(10), e22199. http://dx.doi.org/10.2196/22199
46. Venville, A., O’Connor, S., Roeschlein, H., Ennals, P., McLoughlan, G., & Thomas, N. (2021). Mental health service user and worker experiences of psychosocial support via telehealth during the COVID-19 pandemic. JMIR Mental Health, 8(8), e29671. https://doi.org/10.2196/29671
47. Villanueva, J. A., Suarez, M. C., Garmendia, O., Lugo, V., Ruiz, C., & Montserrat, J. M. (2017). The role of telemedicine and mobile health in the monitoring of sleep-breathing disorders: improving patient outcomes. Smart Homecare Technology and TeleHealth, 1-11. https://doi.org/10.2147/SHTT.S108048
48. Vudathaneni, V., Lanke, R., Mudaliyar, M., Movva, K., Kalluri, L., & Boyapati, R. (2024). The impact of telemedicine and remote patient monitoring on healthcare delivery: A comprehensive evaluation. Cureus, 16(3). https://doi.org/10.7759/cureus.55534
49. Waqas, A., Teoh, S. H., Lapão, L. V., Messina, L. A., & Correia, J. C. (2020). Harnessing telemedicine for the provision of health care: bibliometric and scientometric analysis. Journal of medical Internet research, 22(10), e18835. https://doi.org/10.2196/18835
50. Yeung, A., Kannarkat, J. T., Naunton, M., Peterson, G. M., & Ang, S. C. (2022). The role of telehealth in addressing mental health needs during the COVID-19 pandemic. Journal of Telemedicine and Telecare, 28(6), 387-394. https://doi.org/10.1177/1357633X211066535
51. Zhao, J., Liu, H., Chen, Y., & Song, F. (2025). Application of artificial intelligence tools and clinical documentation burden: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-025-03324-w