A CONCEPTUAL MODEL OF FRAILTY IN OLDER ADULTS: A LITERATURE REVIEW This review employed several key procedures to synthesize the current evidence on frailty. An extensive literature search was conducted across major databases to identify relevant studies on frailty definitions, epidemiology, assessment tools, interventions, and conceptual models. The search results were analyzed using bibliometric techniques including thematic mapping with Biblioshiny and co-occurrence network visualization with VOSviewer. These bibliometric analyses identified core research themes, emerging topic clusters, and connections across the frailty literature. The main findings highlighted frailty's multidimensional nature spanning physical, cognitive, psychological, and social domains. While the frailty phenotype by Fried et al. (2) provided an initial operational definition, subsequent models increasingly encompassed a broader biopsychosocial frailty construct. Globally, over 10% of community-dwelling older adults were estimated as frail, with rates exceeding 40% in those over 90 years old. Frailty was associated with numerous adverse outcomes like disability, falls, hospitalization and mortality. Current assessment approaches included the frailty phenotype, frailty index, and various clinical performance tests, though no single comprehensive tool existed. Evidence supported tailoring multimodal interventions combining physical, nutritional, cognitive, psychological and social strategies to individual risk profiles. The principal conclusion was the critical need for a unified, holistic conceptual model elucidating the complex interplay of factors driving frailty's development and progression. Integrating the findings, a biopsychosocial framework was proposed conceptualizing frailty as a multifactorial health state arising from the cumulative impact of interconnected physical, cognitive, psychological, social and environmental determinants over the life course. Such models are essential for advancing frailty science, shaping clinical practices, and informing policies to promote healthy, resilient aging amid rapidly aging populations worldwide.

Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT’s efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.

Higher education institutions face major challenges in managing the impact of the COVID-19 pandemic. The risk of exposure from the community poses a threat to campus staff and students. This study describes epidemiological characteristics of suspected COVID-19 cases among a public university’s students and staff. This is a retrospective review on data collected from the institute’s COVID-19 Preparedness and Respond Centre, located at the main campus in Kota Kinabalu, the capital city of Sabah from mid-January to April 2020. Incidence rate was calculated, and epidemiological information retrieved from interviews and relevant documents. The majority of suspected COVID-19 cases were staff (57.1%) with incidence rates higher among males (IR=40.2/1,000 population) and those working in the frontline (IR=39.6/1,000 population). Suspected COVID-19 cases were mostly related to occupation (37.3%) and social contacts (27.3%). Student cases were largely related to household (38.1%) and during travel (33.3%). One positive COVID-19 case was reported of out of the 161 suspected cases (0.6%) in the institution. An operational team must be set up to conduct situational analysis and integrate management with other departments. Suspected COVID-19 cases must be quarantined and monitored on a daily basis. A high index of suspicion and effective containment of suspected cases will prevent spread of the virus among students and staff.