Development of a Self-Management Model for Elderly at Risk of Stroke in the Digital Era
Keywords:
Elderly, Self-Management, Stroke, Research and development, Digital EraAbstract
This study aimed to develop and evaluate a digital-era self management model for older adults at risk of stroke. A total of 50 older adults residing in Ban Du Subdistrict, Chiang Rai Province, were selected through simple random sampling and assigned to an experimental group (n=25) and a control group (n=25). The experimental group received the developed 12 week self management program, while the control group received routine care. Research instruments included assessments of knowledge, risk level, self management behaviors, blood pressure, and lipid profiles, all demonstrating acceptable reliability. Quantitative data were analyzed using descriptive statistics, the Wilcoxon Signed-Rank Test, and Independent t-test, whereas qualitative data were analyzed through content analysis.
Results indicated that older adults required user friendly digital media, risk alert functions, and proactive support from health personnel. Following the intervention, the experimental group showed significantly higher knowledge and self management behavior scores than the control group (p<.05). Ten year stroke risk decreased significantly (Z = -3.26; p = .001), along with reductions in blood pressure and lipid levels compared with the control group.
In conclusion, the developed self management model effectively improved health behaviors and clinical outcomes among older adults at risk of stroke. Integration into primary healthcare services and enhancement of digital literacy are recommended to support long term sustainability.
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