A Regression Model of Determinants of Effective Utilization of The E-Kescatin Application Among Premarital Couples
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Digital health applications have the potential to strengthen premarital health services by improving access to reproductive health information, risk screening, and preconception care. However, evidence regarding factors associated with their perceived effectiveness and benefits remains limited. This study aimed to examine factors associated with the perceived effectiveness and benefits of E-Kescatin utilization among premarital couples in Pringsewu District, Indonesia. A cross-sectional analytical study was conducted using 248 completed questionnaires. Data were collected using a structured questionnaire and analyzed using Pearson correlation and multiple linear regression with heteroskedasticity-consistent HC3 robust standard errors. All five explanatory constructs showed significant positive bivariate correlations with the outcome (all p < 0.001). The regression model was statistically significant, F(5, 242) = 61.261, p < 0.001, explaining 55.9% of the observed variance in the outcome (R² = 0.559; adjusted R² = 0.550). After simultaneous adjustment, Application Features was the only construct significantly associated with perceived effectiveness and benefits (B = 0.478; robust SE = 0.173; 95% CI: 0.138–0.818; p = 0.006). User Knowledge, Application Usability, Family and Environmental Support, and Technology and Infrastructure Access were not statistically significant in the adjusted model. These findings suggest that the relevance and usefulness of application features warrant particular attention in the continued development and evaluation of E-Kescatin. Given the cross-sectional design and self-reported measurements, the observed relationships should be interpreted as statistical associations rather than causal effects.
Copyright (c) 2026 Nelly Indrasari, Risneni, Rosmadewi, Marlina, Indah Trianingsih, Nurlaila (Author)
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