Araştırma Makalesi
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PERSONAL HEALTH MONITORING TECHNOLOGIES: A BIBLIOMETRIC ANALYSIS OF THE RESEARCH LANDSCAPE

Yıl 2025, Cilt: 8 Sayı: 2, 227 - 238, 02.01.2026

Ezgi Delen , Burcu İlter

Öz

The present study uses bibliometric analysis to conduct a comprehensive systematic review of 73 articles published between 2010 and 2024 in personal health monitoring technologies to identify key publication trends, influential contributions and emerging directions. Accordingly, three major conceptual clusters have been identified: (1) Self-Quantification and Psychological Impacts, (2) Technology Acceptance and Continued Use of mHealth Applications, and (3) Smart Wearables and Remote Health Monitoring. Prominent themes in the field include self-tracking, mHealth, wearable devices, remote monitoring, user acceptance, privacy and trust, and behavioral health outcomes. These findings provide valuable insights into how personal health monitoring technologies have evolved and which research areas demand further scholarly attention.

Anahtar Kelimeler

Personal health monitoring technologies bibliometric analysis wearable devices digital health health behavior

Kaynakça

  • Baker, H. K., Kumar, S., & Pandey, N. (2021). Forty years of the Journal of Futures Markets: A bibliometric overview. Journal of Futures Markets, 41(7), 1027–1054. https://doi.org/10.1002/fut.22211
  • Bardram, J. E., Hansen, T. R., Mogensen, M., & Soegaard, M. (2006). LNCS 4206 - Experiences from Real-World Deployment of Context-Aware Technologies in a Hospital Environment.
  • Crawford, F., Cezard, G., Chappell, F. M., Murray, G. D., Price, J. F., Sheikh, A., Simpson, C. R., Stansby, G. P., & Young, M. J. (2015). A systematic review and individual patient data meta-analysis of prognostic factors for foot ulceration in people with diabetes: The international research collaboration for the prediction of diabetic foot ulcerations (PODUS). Health Technology Assessment, 19(57), 1–207. https://doi.org/10.3310/hta19570
  • Didžiokaitė, G., Saukko, P., & Greiffenhagen, C. (2018). The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media and Society, 20(4), 1470–1487. https://doi.org/10.1177/1461444817698478
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Donthu, N., Kumar, S., Pandey, N., Pandey, N., & Mishra, A. (2021). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758–773. https://doi.org/10.1016/j.jbusres.2021.07.015
  • Fronczek, L. P., Mende, M., Scott, M. L., Nenkov, G. Y., & Gustafsson, A. (2023). Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers? Journal of the Academy of Marketing Science, 51(5), 1075–1097. https://doi.org/10.1007/s11747-022-00915-1
  • Galetsi, P., Katsaliaki, K., & Kumar, S. (2023). Assessing Technology Innovation of Mobile Health Apps for Medical Care Providers. IEEE Transactions on Engineering Management, 70(8), 2809–2826. https://doi.org/10.1109/TEM.2022.3142619
  • Kitsiou, S., Paré, G., & Jaana, M. (2013). Systematic Reviews and Meta-Analyses of Home Telemonitoring Interventions for Patients With Chronic Diseases: A Critical Assessment of Their Methodological Quality. Journal of Medical Internet Research, 15(7), e150. https://doi.org/10.2196/jmir.2770
  • Kreps, G. L., & Neuhauser, L. (2010). New directions in eHealth communication: Opportunities and challenges. Patient Education and Counseling, 78(3), 329–336. https://doi.org/10.1016/j.pec.2010.01.013
  • Li, J., Zhang, C., Li, X., & Zhang, C. (2020). Patients’ emotional bonding with MHealth apps: An attachment perspective on patients’ use of MHealth applications. International Journal of Information Management, 51. https://doi.org/10.1016/j.ijinfomgt.2019.102054
  • Lim, W. M., & Rasul, T. (2022). Customer engagement and social media: Revisiting the past to inform the future. Journal of Business Research, 148, 325–342. https://doi.org/10.1016/j.jbusres.2022.04.068
  • Lim, W. M., & Kumar, S. (2023). Mapping the future of business research: A guide for bibliometric analysis. Journal of Business Research, 157, 113598. https://doi.org/10.1016/j.jbusres.2023.113598
  • Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194.
  • Lupton, D. (2014). Critical perspectives on digital health technologies. Sociology Compass, 8(12), 1344–1359. https://doi.org/10.1111/soc4.12226
  • Nittas, V., Daniore, P., Landers, C., Gille, F., Amann, J., Hubbs, S., Puhan, M. A., Vayena, E., & Blasimme, A. (2023). Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging. PLOS Digital Health, 2(1 January). https://doi.org/10.1371/journal.pdig.0000189
  • Orji, R., Vassileva, J., & Mandryk, R. (2012). Towards an Effective Health Interventions Design: An Extension of the Health Belief Model (Vol. 4, Issue 3). http://ojphi.org
  • Papa, A., Mital, M., Pisano, P., & Del Giudice, M. (2020). E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation. Technological Forecasting and Social Change, 153, 119226. https://doi.org/10.1016/j.techfore.2018.02.018
  • Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.12695
  • Rasul, T., Wijeratne, A., Soleimani, S., & Lim, W. M. (2023). Where there’s sugar, there are sugar-related mobile apps. What factors motivate consumers’ continued use of m-Health? Journal of Strategic Marketing, 31(4), 856–876. https://doi.org/10.1080/0965254X.2021.1999307
  • Ruckenstein, M., Dow, N., & Schüll, S. S. (2017). The Annual Review of Anthropology is online at. Annual Review of Anthropology Annu. Rev. Anthropol, 46, 261–278. https://doi.org/10.1146/annurev-anthro-102116
  • Sardi, L., Idri, A., & Fernández-Alemán, J. L. (2017). A systematic review of gamification in e-Health. In Journal of Biomedical Informatics (Vol. 71, pp. 31–48). Academic Press Inc. https://doi.org/10.1016/j.jbi.2017.05.011
  • Sharon, T. (2017). Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare. Philosophy and Technology, 30(1), 93–121. https://doi.org/10.1007/s13347-016-0215-5
  • Sinha, R. K., & Sinha, A. (2015). Knowledge, Attitude and Practice of Health Information System. Journal of Health Management, 17(4), 425–437. https://doi.org/10.1177/0972063415606268.
  • Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: An overview and a framework proposal. Review of Managerial Science, 18, 3333–3361. https://doi.org/10.1007/s11846-024-00738-0
  • Whitson, J. R. (2013). Gaming the Quantified Self. Surveillance & Society, 11(2), 163–176. http://www.surveillance-and-society.org|
  • Zhang, M. W., Cheok, C. C., & Ho, R. C. (2015). Global Outreach of a Locally-Developed Mobile Phone App for Undergraduate Psychiatry Education. JMIR Medical Education, 1(1), e3. https://doi.org/10.2196/mededu.4179

KİŞİSEL SAĞLIK İZLEME TEKNOLOJİLERİ: ARAŞTIRMA ALANINA YÖNELİK BİBLİYOMETRİK BİR ANALİZ

Yıl 2025, Cilt: 8 Sayı: 2, 227 - 238, 02.01.2026

Ezgi Delen , Burcu İlter

Öz

Bu çalışma, kişisel sağlık izleme teknolojileri alanında 2010 ile 2024 yılları arasında yayımlanmış 73 makaleyi sistematik bir inceleme kapsamında bibliyometrik yöntemle analiz etmektedir. Araştırmanın amacı, alandaki temel yayın eğilimlerini, etkili akademik katkıları ve yükselen araştırma yönelimlerini ortaya koymaktır. Analizler sonucunda, literatürün üç ana tematik küme etrafında şekillendiği belirlenmiştir: (1) Öz-izleme ve psikolojik etkiler, (2) Mobil sağlık uygulamalarının benimsenmesi ve sürekli kullanım eğilimleri ve (3) Akıllı giyilebilir teknolojiler ve uzaktan sağlık izleme sistemleri. Alandaki öne çıkan temalar arasında mHealth, mobil uygulamalar, öz-izleme, giyilebilir teknolojiler, uzaktan izleme, süreklilik niyeti, veri gizliliği ve kullanıcı kabulü yer almaktadır. Elde edilen bulgular, hızla gelişen bu teknolojik alanın mevcut durumunu daha iyi kavramaya ve gelecek araştırmalar için stratejik yönelimler belirlemeye önemli katkılar sunmaktadır.

Anahtar Kelimeler

kişisel sağlık izleme teknolojileri bibliyometrik analiz giyilebilir cihazlar dijital sağlık sağlık davranışı

Kaynakça

  • Baker, H. K., Kumar, S., & Pandey, N. (2021). Forty years of the Journal of Futures Markets: A bibliometric overview. Journal of Futures Markets, 41(7), 1027–1054. https://doi.org/10.1002/fut.22211
  • Bardram, J. E., Hansen, T. R., Mogensen, M., & Soegaard, M. (2006). LNCS 4206 - Experiences from Real-World Deployment of Context-Aware Technologies in a Hospital Environment.
  • Crawford, F., Cezard, G., Chappell, F. M., Murray, G. D., Price, J. F., Sheikh, A., Simpson, C. R., Stansby, G. P., & Young, M. J. (2015). A systematic review and individual patient data meta-analysis of prognostic factors for foot ulceration in people with diabetes: The international research collaboration for the prediction of diabetic foot ulcerations (PODUS). Health Technology Assessment, 19(57), 1–207. https://doi.org/10.3310/hta19570
  • Didžiokaitė, G., Saukko, P., & Greiffenhagen, C. (2018). The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media and Society, 20(4), 1470–1487. https://doi.org/10.1177/1461444817698478
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Donthu, N., Kumar, S., Pandey, N., Pandey, N., & Mishra, A. (2021). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758–773. https://doi.org/10.1016/j.jbusres.2021.07.015
  • Fronczek, L. P., Mende, M., Scott, M. L., Nenkov, G. Y., & Gustafsson, A. (2023). Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers? Journal of the Academy of Marketing Science, 51(5), 1075–1097. https://doi.org/10.1007/s11747-022-00915-1
  • Galetsi, P., Katsaliaki, K., & Kumar, S. (2023). Assessing Technology Innovation of Mobile Health Apps for Medical Care Providers. IEEE Transactions on Engineering Management, 70(8), 2809–2826. https://doi.org/10.1109/TEM.2022.3142619
  • Kitsiou, S., Paré, G., & Jaana, M. (2013). Systematic Reviews and Meta-Analyses of Home Telemonitoring Interventions for Patients With Chronic Diseases: A Critical Assessment of Their Methodological Quality. Journal of Medical Internet Research, 15(7), e150. https://doi.org/10.2196/jmir.2770
  • Kreps, G. L., & Neuhauser, L. (2010). New directions in eHealth communication: Opportunities and challenges. Patient Education and Counseling, 78(3), 329–336. https://doi.org/10.1016/j.pec.2010.01.013
  • Li, J., Zhang, C., Li, X., & Zhang, C. (2020). Patients’ emotional bonding with MHealth apps: An attachment perspective on patients’ use of MHealth applications. International Journal of Information Management, 51. https://doi.org/10.1016/j.ijinfomgt.2019.102054
  • Lim, W. M., & Rasul, T. (2022). Customer engagement and social media: Revisiting the past to inform the future. Journal of Business Research, 148, 325–342. https://doi.org/10.1016/j.jbusres.2022.04.068
  • Lim, W. M., & Kumar, S. (2023). Mapping the future of business research: A guide for bibliometric analysis. Journal of Business Research, 157, 113598. https://doi.org/10.1016/j.jbusres.2023.113598
  • Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194.
  • Lupton, D. (2014). Critical perspectives on digital health technologies. Sociology Compass, 8(12), 1344–1359. https://doi.org/10.1111/soc4.12226
  • Nittas, V., Daniore, P., Landers, C., Gille, F., Amann, J., Hubbs, S., Puhan, M. A., Vayena, E., & Blasimme, A. (2023). Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging. PLOS Digital Health, 2(1 January). https://doi.org/10.1371/journal.pdig.0000189
  • Orji, R., Vassileva, J., & Mandryk, R. (2012). Towards an Effective Health Interventions Design: An Extension of the Health Belief Model (Vol. 4, Issue 3). http://ojphi.org
  • Papa, A., Mital, M., Pisano, P., & Del Giudice, M. (2020). E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation. Technological Forecasting and Social Change, 153, 119226. https://doi.org/10.1016/j.techfore.2018.02.018
  • Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.12695
  • Rasul, T., Wijeratne, A., Soleimani, S., & Lim, W. M. (2023). Where there’s sugar, there are sugar-related mobile apps. What factors motivate consumers’ continued use of m-Health? Journal of Strategic Marketing, 31(4), 856–876. https://doi.org/10.1080/0965254X.2021.1999307
  • Ruckenstein, M., Dow, N., & Schüll, S. S. (2017). The Annual Review of Anthropology is online at. Annual Review of Anthropology Annu. Rev. Anthropol, 46, 261–278. https://doi.org/10.1146/annurev-anthro-102116
  • Sardi, L., Idri, A., & Fernández-Alemán, J. L. (2017). A systematic review of gamification in e-Health. In Journal of Biomedical Informatics (Vol. 71, pp. 31–48). Academic Press Inc. https://doi.org/10.1016/j.jbi.2017.05.011
  • Sharon, T. (2017). Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare. Philosophy and Technology, 30(1), 93–121. https://doi.org/10.1007/s13347-016-0215-5
  • Sinha, R. K., & Sinha, A. (2015). Knowledge, Attitude and Practice of Health Information System. Journal of Health Management, 17(4), 425–437. https://doi.org/10.1177/0972063415606268.
  • Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: An overview and a framework proposal. Review of Managerial Science, 18, 3333–3361. https://doi.org/10.1007/s11846-024-00738-0
  • Whitson, J. R. (2013). Gaming the Quantified Self. Surveillance & Society, 11(2), 163–176. http://www.surveillance-and-society.org|
  • Zhang, M. W., Cheok, C. C., & Ho, R. C. (2015). Global Outreach of a Locally-Developed Mobile Phone App for Undergraduate Psychiatry Education. JMIR Medical Education, 1(1), e3. https://doi.org/10.2196/mededu.4179
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Dijital Pazarlama, Tüketici Davranışı, Pazarlama (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Ezgi Delen 0000-0003-1434-7913

Burcu İlter 0000-0002-3781-7263

Gönderilme Tarihi 30 Temmuz 2025
Kabul Tarihi 12 Ağustos 2025
Yayımlanma Tarihi 2 Ocak 2026
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Delen, E., & İlter, B. (2026). PERSONAL HEALTH MONITORING TECHNOLOGIES: A BIBLIOMETRIC ANALYSIS OF THE RESEARCH LANDSCAPE. Journal of Business in The Digital Age, 8(2), 227-238. https://doi.org/10.46238/jobda.1753922

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