Stroke Risk Detection Card as a Predictive Tool: A Correlattional Study of Risk Factors and Risk Level Distribution

Stroke prevention is a shared responsibility across society. One of the efforts includes the development of a Stroke Risk Detection Card that is attractive, easy to understand, and user-friendly for the general public. This study aims to evaluate the effectiveness of the Stroke Risk Detection Card by testing its use to determine stroke risk levels, mapping the distribution of risk factors among the study sample, and assessing whether these factors are appropriate for estimating the likelihood of stroke occurrence. This research employed a quantitative method with a cross-sectional design. The sampling technique used was total sampling of elderly participants attending a Stroke Counseling and Detection event in one of community unit in Cimahi West Java, Indonesia. Univariate and bivariate analyses were conducted to describe the distribution of stroke risk and examine the relationship between stroke risk levels and assessed risk factors. The analysis revealed that 79% of respondents were at moderate risk, 13% (5 individuals) at high risk, and only 8% (3 individuals) at low risk. Correlation tests showed a moderate correlation (0.40–0.69) between stroke risk levels and diastolic blood pressure (0.51), systolic blood pressure (0.47), and family history of stroke (0.51). A weak correlation was found between stroke risk level and blood glucose levels (0.03).