This study provides a comprehensive examination of the socio-demographic profiles and health-related behaviors among people living with HIV (PLHIV) to develop a predictive model for out-of-care (OOC) HIV patients. The increasing prevalence of HIV among certain demographics necessitates innovative approaches to prevent loss of retention in care. The objectives were to investigate the health-seeking and health maintenance behaviors among outpatient PLHIVs, to evaluate adherence to existing policies, and to develop the BUCAL Framework for predicting and preventing OOC status. Employing logistic regression analysis, the study analyzed factors such as age, gender, education, occupation, years since diagnosis, and adherence to Antiretroviral Therapy (ART). The results revealed significant predictors of OOC status, with high adherence to treatment, awareness of HIV care facilities, and factors related to the Department of Health Administrative Order No. 2022-2024. The findings culminated in the proposal of a comprehensive framework encompassing health-seeking behaviors, understanding patient profiles, retention of care, a predictive model, anticipation of control, and loss prevention. The conclusion emphasizes the importance of the developed framework in predicting OOC status and the necessity of targeted interventions for the effective management of HIV.