Evaluating an Innovative Technology-based Intervention in Reducing Predictive Stroke Risk and Raising Awareness among Stroke-Free Hypertensive Patients | ||||
| Menoufia Nursing Journal | ||||
| Volume 8, Issue 4, December 2023, Page 83-104 PDF (1.32 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/menj.2023.336536 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Sherif Nesnawy1; Eman Hussein Khalil2; Sara Ibrahim Sayed3; Mohamed Yehia Ali Mohamed4; Gehan Elmadbouh5; Omima Said M. H. Shehata5 | ||||
| 1Medical-Surgical Nursing Department, Faculty of Nursing, Minia University, Egypt. | ||||
| 2Internal Medicine, Endocrinology Department, Faculty of Medicine, Minia University, Egypt. | ||||
| 3Public Health & Preventive Medicine Department, Faculty of Medicine, Minia University, Egypt. | ||||
| 4Community Health Nursing Department, Faculty of Nursing, Cairo University, Egypt. | ||||
| 5Medical-Surgical Nursing Department, Faculty of Nursing, Menoufia University, Egypt. | ||||
| 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 | ||||
| Awareness; Hypertension; Innovative Technology; Stroke risk | ||||
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