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The effectiveness of modern nursing interventions with emphasis on telehealth and artificial intelligence strategies in blood pressure control
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Mohammadamin Sadreddini *   |
| Community Health Research Center, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran , amin1998sadr@gmail.com |
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Abstract: (53 Views) |
Introduction:Hypertension (HTN) is a major public health challenge and a "silent epidemic," representing one of the most important modifiable risk factors for cardiovascular diseases and global mortality. With the shift toward patient-centered care, the expanded role of nurses in evidence-based management of this condition has become increasingly prominent.
This study aimed to conduct a systematic review and narrative synthesis of studies published between 2024 and 2025 to evaluate the effectiveness of nursing interventions and to compare international technology-driven approaches with conventional local methods on systolic (SBP) and diastolic (DBP) blood pressure outcomes. The selected time frame was chosen due to a notable increase in studies focusing on Telehealth and Artificial Intelligence interventions and the need to update previous reviews covering literature up to 2023.
Methods: This systematic review was designed according to the PRISMA 2020 guidelines. Due to clinical and methodological heterogeneity, the results were synthesized narratively. A comprehensive search was conducted in international databases including PubMed, Scopus, Web of Science, CINAHL, as well as national databases SID and Magiran, focusing on articles published between January 2024 and September 2025. Inclusion criteria were randomized controlled trials (RCTs) in adult populations with primary hypertension that reported blood pressure outcomes following nurse-led interventions. Methodological quality and risk of bias were assessed using the Revised Cochrane Risk of Bias (RoB 2) tool.
Findings: Out of 890 identified records, 45 RCTs (27 English and 18 Persian) with a total sample size of 11,000 participants met the inclusion criteria. Most studies reported reductions in systolic (approximately 4–6 mmHg) and diastolic (approximately 2–3 mmHg) blood pressure following nursing interventions. Subgroup analysis indicated that interventions based on Artificial Intelligence and Telehealth generally resulted in greater reductions in systolic blood pressure compared to traditional educational models. Local studies also showed notable benefits in promoting self-care and cultural adherence.
Conclusion: Evidence from 2024–2025 indicates that nursing interventions, particularly those delivered through Telehealth and Artificial Intelligence platforms, can improve blood pressure control. However, generalization of these findings across different settings requires caution and attention to infrastructure and cultural context to empower nurses in technology-assisted disease management
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| Keywords: Nursing, Hypertension, Telehealth, Artificial Intelligence, Self-care, Systematic review |
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Type of Study: Medical Surgical Nursing |
Subject:
nursing
Received: 2026/01/19 | Accepted: 2026/02/10 | Published: 2025/12/31
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