Publications by authors named "Eleojo Abubakar"
Multimorbidity, commonly defined as the co-existence of two or more long-term conditions, is a major global public health challenge with significant impacts for health and social care systems. There is a substantial body of work identifying different individual- and household-level determinants of multimorbidity, yet the role of place-based characteristics in affecting multimorbidity remains limited. This systematic scoping review identifies place-based risk factors for multimorbidity and further synthesises the potential pathways explaining these relationships using longitudinal evidence.
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- Multimorbidity, the presence of two or more long-term health conditions, poses significant challenges for health systems, leading to increased healthcare use and negative health outcomes, yet its associations with household and area characteristics are not well understood.
- This study will analyze data from the SAIL Databank to explore how individual, household, and area factors impact health outcomes for individuals with multimorbidity, utilizing multilevel models to account for data complexity.
- Findings may reveal how certain household and environmental factors could either mitigate or exacerbate health risks, providing insights for improving clinical practices and targeting healthcare resources effectively.
Background: Precise geographical targeting is well recognised as an indispensable intervention strategy for achieving many Sustainable Development Goals (SDGs). This is more cogent for health-related goals such as the reduction of the HIV/AIDS pandemic, which exhibits substantial spatial heterogeneity at various spatial scales (including at microscale levels). Despite the dire data limitations in Low and Middle Income Countries (LMICs), it is essential to produce fine-scale estimates of health-related indicators such as HIV/AIDS.
View Article and Find Full Text PDFBackground: Measurement of multimorbidity in research is variable, including the choice of the data source used to ascertain conditions. We compared the estimated prevalence of multimorbidity and associations with mortality using different data sources.
Methods: A cross-sectional study of SAIL Databank data including 2,340,027 individuals of all ages living in Wales on 01 January 2019.