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Volume 18, Issue 1 (2026)
J Clin Care Skill 2026, 18(1): 1001-1007 |
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Received: 2026/05/4 | Accepted: 2026/01/29 | Published: 2026/01/29
Received: 2026/05/4 | Accepted: 2026/01/29 | Published: 2026/01/29
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THE SIGNIFICANCE OF HEALTH EDUCATION TECHNOLOGY IN THE TREATMENT OF EARLY STROKE IN THE COMMUNITY. J Clin Care Skill 2026; 18 (1) :1001-1007
URL: http://ijwph.ir/article-3-85674-en.html
URL: http://ijwph.ir/article-3-85674-en.html
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Abstract (91 Views)
Aims: This study aims to evaluate the effectiveness of technology-based health education in improving the knowledge and preparedness of patients' families for early detection of stroke symptoms.
Instrument & Methods: The study used a quantitative design with a cross-sectional approach involving 100 respondents from ?ive referral hospitals in Medan City. Data collection was carried out using a Likert scale questionnaire to measure the level of knowledge and preparedness of stroke patients' families. Technology-based educational interventions include the use of mobile applications, e-learning platforms, social media, and telemedicine.
Findings: The results showed that all forms of technology-based health education signi?icantly improved respondents' understanding of the early symptoms of stroke and accelerated decision-making when symptoms were identi?ied.
Conclusion: Digital health education has proven to be effective in strengthening early detection of stroke and has the potential to be developed more widely as a strategy to improve the quality of stroke treatment in Indonesia.
Instrument & Methods: The study used a quantitative design with a cross-sectional approach involving 100 respondents from ?ive referral hospitals in Medan City. Data collection was carried out using a Likert scale questionnaire to measure the level of knowledge and preparedness of stroke patients' families. Technology-based educational interventions include the use of mobile applications, e-learning platforms, social media, and telemedicine.
Findings: The results showed that all forms of technology-based health education signi?icantly improved respondents' understanding of the early symptoms of stroke and accelerated decision-making when symptoms were identi?ied.
Conclusion: Digital health education has proven to be effective in strengthening early detection of stroke and has the potential to be developed more widely as a strategy to improve the quality of stroke treatment in Indonesia.