Evaluating an Innovative Technology-based Intervention in Reducing Predictive Stroke Risk and Raising Awareness among Stroke-Free Hypertensive Patients

Nesnawy, Sherif; Khalil, Eman Hussein; Sayed, Sara Ibrahim; Mohamed, Mohamed Yehia Ali; Elmadbouh, Gehan; Shehata, Omima Said M. H.

doi:10.21608/menj.2023.336536

Evaluating an Innovative Technology-based Intervention in Reducing Predictive Stroke Risk and Raising Awareness among Stroke-Free Hypertensive Patients

Document Type : Original Article

Authors

¹ Medical-Surgical Nursing Department, Faculty of Nursing, Minia University, Egypt.

² Internal Medicine, Endocrinology Department, Faculty of Medicine, Minia University, Egypt.

³ Public Health & Preventive Medicine Department, Faculty of Medicine, Minia University, Egypt.

⁴ Community Health Nursing Department, Faculty of Nursing, Cairo University, Egypt.

⁵ Medical-Surgical Nursing Department, Faculty of Nursing, Menoufia University, Egypt.

10.21608/menj.2023.336536

Abstract

Abstract: Background: Early stroke risk reduction in hypertensive patients is crucial, with artificial intelligence (AI) providing accurate risk identification. Leveraging digital technology for risk mitigation is more efficient and less effort-intensive. .Purpose: To evaluate an innovative technology-based intervention in reducing predictive stroke risk and raising awareness among stroke-free hypertensive patients. Setting: The current study was conducted in medical inpatient and outpatient units at Minia University Hospital, Egypt. Sampling: 1:1 randomized controlled trial using a simple random sample of 204 stroke-free hypertensive patients and equally divided into control (one-time educational session) and study group (an innovative technology-based intervention), with balanced baseline characteristics and non-modifiable stroke risk factors. Instruments: Two instruments were used; "AI-Based Stroke Risk Calculator Questionnaire" and "Stroke Risk Factor and Warning Signs Awareness Questionnaire," were employed for data collection through structured personal interviews. Results: All patients completed the 3-month follow-up. The study group showed a significant reduction in modifiable stroke risk factors. The mean relative reduction in stroke risk score was 44.86% (±4.14) in the study group, compared to 17.56% (±3.95) in the control group (P<0.0001). Stroke risk factor and warning signs awareness improved notably, with the study group achieving a 100.39% (±6.92) relative increase, surpassing the control group's 61.12% (±7.66) (P<0.0001). Conclusions: The innovative technology based intervention is effectively reduced modifiable stroke risk factors and AI-calculated stroke probability and enhanced the awareness among stroke-free hypertensive patients. Recommendations: Healthcare providers should prioritize addressing both risk factor management and stroke risk awareness by utilizing such a technology-based intervention.

Keywords