SiAbai Application-Based Detection of Elder Neglect in Family-Cared Older Adults with Cardiovascular Disease

This Elder neglect among family-cared older adults with cardiovascular disease represents a significant but under-detected public health challenge in Indonesia. This study aimed to develop and validate the SiAbai online application as an instrument for early detection of neglect risk in elderly patients with cardiovascular disorders cared for by their families. A Research and Development (R&D) design was employed across two phases (2021–2022) in three villages within the Puskesmas Nanggalo Community Health Center working area, Padang, West Sumatra. A total of 108 families caring for elderly individuals with cardiovascular conditions participated in the second-phase data collection. Instrument validity and reliability were assessed using factor analysis, including Kaiser Meyer Olkin (KMO) sampling adequacy, Bartlett's Test of Sphericity, Anti-image Matrices, Communalities, Total Variance Explained, Scree Plot, Component Matrix, and Rotated Component Matrix. Results confirmed that all 49 question items loaded satisfactorily (KMO = 0.601 > 0.50; Sig. = 0.0001 < 0.05; extraction values > 0.50), yielding 15 interpretable factors that collectively explained 73.95% of total variance. Descriptive analysis revealed gaps in family health task performance across five domains: recognizing cardiovascular health problems, deciding on appropriate care actions, providing physical care, modifying the home environment, and utilizing health services. The SiAbai application demonstrated feasibility and validity for real-time, community-based neglect screening and offers practical utility for primary healthcare workers in early identification and intervention. Widespread deployment of this tool could substantially reduce preventable disability and mortality among vulnerable elderly populations.