Quantitative Mapping of Global Research on Mobile Health Interventions for Hypertension: A Bibliometric Study
DOI:
https://doi.org/10.6000/1929-6029.2026.15.20Keywords:
Mobile health, intervention, hypertension, bibliometric analysisAbstract
Background: Mobile health (mHealth) technologies are increasingly reshaping the management of hypertension, which remains a leading contributor to global cardiovascular burden. Although a rapidly expanding body of research has explored digitally supported interventions, the structural evolution, intellectual foundations, and emerging trajectories of this field have not been comprehensively synthesized.
Objective: This study aimed to map the global research landscape of mHealth interventions for hypertension and to identify the collaborative, intellectual, and conceptual structures guiding its development.
Methods: A bibliometric analysis was conducted on 474 documents indexed in Scopus using VOSviewer and R Bibliometrix. Trends in scientific production were examined alongside contributions by countries, journals, authors, and highly cited documents. Co-authorship, co-citation, and keyword co-occurrence networks were analyzed to uncover the field’s knowledge architecture and thematic evolution.
Results: Scientific output in mHealth intervention for hypertension has increased steadily, led by high-income countries with strong international collaboration. Highly cited studies are mainly randomized controlled trials, indicating a solid evidence base. Thematic trends show a shift from telemonitoring to scalable, patient-centred interventions, with growing focus on engagement, implementation, and equity.
Conclusion: The research landscape on mHealth interventions for hypertension is rapidly advancing, with increasing methodological rigor and a shift toward scalable, patient-centred solutions. Nonetheless, disparities in global research contributions persist, underscoring the need for more inclusive and context-specific studies to support equitable implementation.
References
Fisher MC, et al. Improving Blood Pressure in High-Risk Patients With CKD Using an Interdisciplinary Remote Hypertension Program. Kidney Intl Rep 2025; 10(4): 1101-1110. DOI: https://doi.org/10.1016/j.ekir.2025.01.028
Ordunez P, Tajer C, Gaziano T, Rodriguez YA, Rosende A, Jaffe MG. The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health care. Rev Panam Salud Publica Pan Am J Public Health 2022; 46. DOI: https://doi.org/10.26633/RPSP.2022.12
Gomis-Pastor M, et al. Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities. Healthcare 2024; 12(11): 1057. DOI: https://doi.org/10.3390/healthcare12111057
Rifkin DE, et al. Linking clinic and home: A randomized, controlled clinical effectiveness trial of real-time, wireless blood pressure monitoring for older patients with kidney disease and hypertension. Blood Press Monit 2013; 18(1): 8-15. DOI: https://doi.org/10.1097/MBP.0b013e32835d126c
Rubinstein A, et al. Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: A randomised controlled trial. Lancet Diabetes Endocrinol 2016; 4(1): 52-63. DOI: https://doi.org/10.1016/S2213-8587(15)00381-2
Aovare P, et al. Assessing the Effectiveness of mHealth Interventions for Diabetes and Hypertension Management in Africa: Systematic Review and Meta-Analysis. JMIR mHealth uHealth 2023; 11. DOI: https://doi.org/10.2196/43742
Brewer LC, et al. mHealth Intervention for Promoting Hypertension Self-management Among African American Patients Receiving Care at a Community Health Center: Formative Evaluation of the FAITH! Hypertension App JMIR Form Res 2023; 7. DOI: https://doi.org/10.2196/45061
Gao W, et al. Telemedicine interventions to reduce blood pressure in a chronic disease population: A meta-analysis. J. Telemed. Telecare 2022; 28(9): 621-631. DOI: https://doi.org/10.1177/1357633X20959581
McManus RJ, et al. Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial. Lancet 2018; 391(10124): 949-959. DOI: https://doi.org/10.1016/S0140-6736(18)30309-X
Abbas A, Hannan J, Stolp H, Coronado F, Sperling LS. Commitment to Hypertension Control During the COVID-19 Pandemic: Million Hearts Initiative Exemplars. Prev Chronic Dis 2022; 19. DOI: https://doi.org/10.5888/pcd19.210439
Datta SK, et al. Economic analysis of a tailored behavioral intervention to improve blood pressure control for primary care patients. Am Heart J 2010; 160(2): 257-263. DOI: https://doi.org/10.1016/j.ahj.2010.05.024
Esandi ME, et al. Evaluating the implementation of a hypertension program based on mHealth and community pharmacies integration to primary care centers at a municipality level in Argentina during the COVID-19 pandemic. Front Health Serv 2024; 4. DOI: https://doi.org/10.3389/frhs.2024.1263331
Paluyo J, Stake A, Bryson R. “Padayon”: A new digital health model for diabetes and hypertension in rural Philippines. BMJ Innov 2022; 9(1): 43-48. DOI: https://doi.org/10.1136/bmjinnov-2021-000900
Chusniyah A, Makruf I, Supriyanto. Two decades of sustainable development studies in higher education management: a bibliometric analysis. IJSHE 2024. DOI: https://doi.org/10.1108/IJSHE-11-2023-0546
Özdemir Ö. The evolution, intellectual structure, and developmental trends of global mental health nursing research: A bibliometric analysis (2015-2025). Archives of Psychiatric Nursing 2026; 60: 1520-1535. DOI: https://doi.org/10.1016/j.apnu.2026.152055
Mukherjee D, Lim WM, Kumar S, Donthu N. Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research 2022; 148: 101-115. DOI: https://doi.org/10.1016/j.jbusres.2022.04.042
Margolis KL, et al. Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control a cluster randomized clinical trial. JAMA 2013; 310(1): 46-56. DOI: https://doi.org/10.1001/jama.2013.6549
Omboni S, Gazzola T, Carabelli G, Parati G. Clinical usefulness and cost effectiveness of home blood pressure telemonitoring:Meta-analysis of randomized controlled studies. J Hypertens 2013; 31(3): 455-468. DOI: https://doi.org/10.1097/HJH.0b013e32835ca8dd
Bobrow K, et al. Mobile Phone Text Messages to Support Treatment Adherence in Adults with High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial. Circulation 2016; 133(6): 592-600 DOI: https://doi.org/10.1161/CIRCULATIONAHA.115.017530
Bosworth HB, et al. Home blood pressure management and improved blood pressure control: Results from a randomized controlled trial. Arch. InternMed 2011; 171(13): 1173-1180 DOI: https://doi.org/10.1001/archinternmed.2011.276
McManus RJ, et al. Home and Online Management and Evaluation of Blood Pressure (HOME BP) using a digital intervention in poorly controlled hypertension: Randomised controlled trial. BMJ 2021; 372. DOI: https://doi.org/10.1136/bmj.m4858
Logan AG, et al. Effect of home blood pressure telemonitoring with self-care support on uncontrolled systolic hypertension in diabetics. Hypertension 2012; 60(1): 51-57. DOI: https://doi.org/10.1161/HYPERTENSIONAHA.111.188409
Frias J, Virdi N, Raja P, Kim Y, Savage G, Osterberg L. Effectiveness of digital medicines to improve clinical outcomes in patients with uncontrolled hypertension and type 2 diabetes: Prospective, open-label, cluster-randomized pilot clinical trial. J Med Internet Res 2017; 19(7). DOI: https://doi.org/10.2196/jmir.7833
McKinstry B, et al. Telemonitoring based service redesign for the management of uncontrolled hypertension: Multicentre randomised controlled trial. BMJ (Online) 2013; 346(7913). DOI: https://doi.org/10.1136/bmj.f3030
McGillicuddy JW, et al. Mobile health medication adherence and blood pressure control in renal transplant recipients: A proof-of-concept randomized controlled trial. JMIR Res Prot 2013; 2(2). DOI: https://doi.org/10.2196/resprot.2633
Giansanti D. The Future of Healthcare Is Digital: Unlocking the Potential of Mobile Health and E-Health Solutions. Healthcare 2025; 13(7): 802. DOI: https://doi.org/10.3390/healthcare13070802
Sharp CA, Bresnen M, Austin L, McCarthy J, Dixon WG, Sanders C. Implementing disruptive technological change in UK healthcare: exploring development of a smart phone app for remote patient monitoring as a boundary object using qualitative methods. JHOM 2021; 35(2): 141-159. DOI: https://doi.org/10.1108/JHOM-07-2020-0295
Mathews SC, McShea MJ, Hanley CL, Ravitz A, Labrique AB, Cohen AB. Digital health: a path to validation. NPJ Digit Med 2019; 2(1): 38. DOI: https://doi.org/10.1038/s41746-019-0111-3
Bress AP, et al. Inequities in hypertension control in the united states exposed and exacerbated by covid-19 and the role of home blood pressure and virtual health care during and after the covid-19 pandemic. J Am Heart Assoc 2021; 10(11). DOI: https://doi.org/10.1161/JAHA.121.020997
Nguyen H, Tran T, Nham P. AI Chatbot for Tourist Recommendations: A Case Study in Vietnam. Applied Computer (Query date: 2025-02-07) 2023; 14(14) 07.
Mabeza RMS, Maynard K, Tarn DM. Influence of synchronous primary care telemedicine versus in-person visits on diabetes, hypertension, and hyperlipidemia outcomes: a systematic review. BMC Prim Care 23(1). DOI: https://doi.org/10.1186/s12875-022-01662-6
Omboni S, Mancinelli A, Rizzi F, Parati G, TEMPLAR (TEleMonitoring of blood Pressure in Local phARmacies) Project Group. Telemonitoring of 24-Hour Blood Pressure in Local Pharmacies and Blood Pressure Control in the Community: The Templar Project. Am J Hypertens 2019; 32(7): 629-639. DOI: https://doi.org/10.1093/ajh/hpz049
Acharya S, et al. Self-Measured Blood Pressure-Guided Pharmacotherapy: A Systematic Review and Meta-Analysis of United States-Based Telemedicine Trials. Hypertension 2024; 81(3): 648-657. DOI: https://doi.org/10.1161/HYPERTENSIONAHA.123.22109
Phillips M, Harrington T, Srai J. Convergent Innovation in Emerging Healthcare Technology Ecosystems: Addressing Complexity and Integration. TIM Review 2017; 7(9): 44-54. DOI: https://doi.org/10.22215/timreview/1105
Xiao M, et al. Home blood pressure monitoring by a mobile-based model in chongqing, China: A feasibility study. Int J Environ Res Public Health 2019; 16(18). DOI: https://doi.org/10.3390/ijerph16183325
Xu L, Fang W-Y, Zhu F, Zhang H-G, Liu K. A coordinated PCP-Cardiologist Telemedicine Model (PCTM) in China’s community hypertension care: Study protocol for a randomized controlled trial. Trials 2017; 18(1). DOI: https://doi.org/10.1186/s13063-017-1970-z
Goel RK. Knowledge diffusion worldwide: Role of university-industry collaborations and beyond. Manage Decis Econ 2022; 43(5): 1330-1339. DOI: https://doi.org/10.1002/mde.3457
Smith E, Haustein S, Mongeon P, Shu F, Ridde V, Larivière V. Knowledge sharing in global health research - the impact, uptake and cost of open access to scholarly literature. Health Res Policy Sys 2017; 15(1): 73. DOI: https://doi.org/10.1186/s12961-017-0235-3
Demeter M. Gatekeepers of Knowledge Dissemination: Inequality in Journal Editorial Boards. in Academic Knowledge Production and the Global South, Cham: Springer International Publishing, 2020; pp. 137-151. DOI: https://doi.org/10.1007/978-3-030-52701-3_6
Bhavnani SP, et al. Roadmap for Innovation—ACC Health Policy Statement on Healthcare Transformation in the Era of Digital Health, Big Data, and Precision Health. Journal of the American College of Cardiology 2017; 70(21): 2696-2718. DOI: https://doi.org/10.1016/j.jacc.2017.10.018
Spreafico AMC, Ascione R. Digitally Enhancing Care: Innovating Health Journeys for a Sustainable and Human-Centred Future. in Healthcare in the Digital Age, M. Bertolaso, M. L. Ilardo, and J. Ribera, Eds, Singapore: Springer Nature Singapore 2025; pp. 89-107. DOI: https://doi.org/10.1007/978-981-96-1437-0_5
Makkizadeh F. Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis. Nanomed Res J 2019; 4(2).
Ponomariov B, Boardman C. What is co-authorship?. Scientometrics 2016; 109(3): 1939-1963. DOI: https://doi.org/10.1007/s11192-016-2127-7
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