Cited by 1Blood Pressure and Hypertension StudiesTelemedicine and Telehealth ImplementationNon-Invasive Vital Sign Monitoring

Improving blood pressure control using digital communication methods in Serbia

Open access
Tasic, Nebojsa, Tasic, Danijela, Kovacevic, Zorana, Filipovic, Marko, Arsic, Milan, Bozovic-Ogarevic, Sladjana, Despotovic, Biljana, Bojic, Milovan +6 more·2022·Diagnostics

Abstract

Background: The purpose of this study was to compare home and office BP in the adjustment of antihypertensive treatment. Methods: This study was an open, prospective, noninterventional, multicenter clinical trial that occurred between July 2019 and February 2020, in 34 cities in the territory of the Republic of Serbia, which monitored 1581 participants for 6 months. Depending on the used blood pressure monitoring method used, all patients were divided into control (office BP monitoring) and experimental (home BP telemonitoring) groups. We collected anamnestic data and data about systolic blood pressure (SP), in mmHg, diastolic blood pressure (DP), in mmHg, and heart rate (HR), in beats/minute, from all patients. Results: SP values were significantly different at baseline, and at the second, third, and fourth visits between the two tested groups. Home and office BP decreased significantly (p < 0.000) during the 6-month follow-up. We observed a statistically significant influence of the presence of diabetes mellitus and dyslipidemia on the dynamics of differences between SP monitoring values. Conclusions: Our study suggests that novel technologies in BP monitoring can be excellent alternatives for BP assessment in hypertensive patients with other cardiovascular risk factors such as diabetes and dyslipidemia.

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Crossref · 10.3390/diagnostics12040914

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  • The lack of seamless architectural interoperability between hardware modalities and proprietary cloud infrastructure often forces reliance on fragmented data synchronization models, compounding operational inefficiencies.

    “the lack of seamless architectural interoperability between hardware modalities and proprietary cloud infrastructure often forces reliance on fragmented data synchronization models, compounding operational inefficiencies [4,11].”

    From Clinical Efficacy and Patient Adherence Hurdles of Remote Patient Monitoring (RPM) Frameworks in Managing Hypertension and Type 2 Diabetes: A Scoping Review (2026) · cites this paper as [11]

    Study Limitations (§4.6; page not provided) says patients manually entered readings from blood-pressure devices into a phone app, while automatic Bluetooth transfer would simplify measurement and reduce data-collection errors. It does not attribute that manual process to incompatibility with proprietary cloud infrastructure or describe fragmented synchronization models and their broader operational effects. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Smartphone middleware adds architectural dependencies that contribute to operational points of failure, such as pairing drops, OS-level application terminations, and local sync bottlenecks.

    “While smartphone middleware allows for rich local user interfaces, it adds architectural dependencies that contribute to operational points of failure, such as pairing drops, OS-level application terminations, and local sync bottlenecks [11].”

    From Clinical Efficacy and Patient Adherence Hurdles of Remote Patient Monitoring (RPM) Frameworks in Managing Hypertension and Type 2 Diabetes: A Scoping Review (2026) · cites this paper as [11]

    Section 4.6 (Study Limitations) says the study used manual entry, mentions Bluetooth transfer in other studies, and notes unspecified technical limits on SMS/email frequency. It does not address smartphone middleware dependencies or the claimed pairing drops, OS-level application terminations, or local synchronization bottlenecks; searches for those terms and related technical failures found no supporting passage. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

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Authors
Tasic, N., Tasic, D., Kovacevic, Z., Filipovic, M., Arsic, M., Bozovic-Ogarevic, S., Despotovic, B., Bojic, M., Maksimovic, Z., Zdravkovic, N., Mijailovic, S., Zivkovic, V., Nikolic Turnic, T., & Jakovljevic, V.
Affiliations
  • Institute for Cardiovascular Diseases Dedinje, 5 Heroja Milana Tepica Street, 11000 Belgrade, Serbia
  • Institut za kardiovaskularne bolesti Dedinje (RS)
  • General Health Center “Sveti Vračevi”, 53 Srpske Vojske Street, 76300 Bijeljina, Bosnia and Herzegovina
  • University of Kragujevac (RS)
  • Department of Pharmacy, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, 34000 Kragujevac, Serbia
Corresponding author
Jakovljevic, Vladimir
Venue
Diagnostics
Publisher
MDPI AG
Published
2022-04-06
Volume
12
Issue
4
Pages
914
ISSN
2075-4418 (ISSN-L)
OpenAlex
W4224260956
Cited by
1
References
44
Citations by year
2026: 1
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Diagnostics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
blood pressure control, home blood pressure monitoring, office blood pressure measurement, remote patient monitoring, hypertension, systolic blood pressure, diastolic blood pressure, heart rate, diabetes mellitus, dyslipidemia, cardiovascular risk factors

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