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Background: Socioeconomic status (SES) is a major determinant of health. In Australia, areas of socioeconomic disadvantage are characterised by complex health needs and inequity in primary health care provision. General Practice (GP) registrars play an important role in addressing workforce needs, including equitable health care provision in areas of greater socioeconomic disadvantage. We aimed to characterize GP registrars' practice location by level of socioeconomic disadvantage, and establish associations (of registrar, practice, patient characteristics, and registrars' clinical behaviours) with GP registrars training being undertaken in areas of greater socioeconomic disadvantage.
Methods: A cross-sectional analysis from the Registrars' Clinical Encounters in Training (ReCEnT) study. ReCEnT is an ongoing, multi-centre, cohort study that documents 60 consecutive consultations by each GP registrar once in each of their three six-monthly training terms. The outcome factor was the practice location's level of socioeconomic disadvantage, defined using the Index of Relative Socio-economic Disadvantage (SEIFA-IRSD). The odds of being in the lowest quintile was compared to the other four quintiles. Independent variables related to the registrar, patient, practice, and consultation.
Results: A total of 1,736 registrars contributed 241,945 consultations. Significant associations of training being in areas of most disadvantage included: the registrar being full-time, being in training term 1, being in the rural training pathway; patients being Aboriginal or Torres Strait Islander, or from a non-English-speaking background; and measures of continuity of care.
Conclusions: Training in areas of greater social disadvantage, as well as addressing community need, may provide GP registrars with richer learning opportunities.
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http://dx.doi.org/10.1186/s12909-022-03359-x | DOI Listing |
PLoS One
September 2025
The George Institute for Global Health, Imperial College London, London, United Kingdom.
Background: Tobacco use remains a major public health challenge in sub-Saharan Africa, with significant gendered dimensions. Place of residence is an important determinant, as rural and urban contexts shape exposure, access, and consumption patterns. This study investigates rural-urban disparities in tobacco use among women in sub-Saharan Africa, with a focus on quantifying the relative contributions of socioeconomic factors.
View Article and Find Full Text PDFClin J Am Soc Nephrol
September 2025
Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland USA.
Socioeconomic, environmental and lifestyle factors shape kidney health. Among the social determinants of health, access to healthy foods is particularly significant. As a basic need, food is integral to an individual's identity, culture, and health.
View Article and Find Full Text PDFSoc Work Public Health
September 2025
Department of Healthcare Management, Çankırı Karatekin University, Çankırı, Türkiye.
This study investigates socioeconomic disparities in chronic respiratory diseases and the factors contributing to these inequalities, using data from the 2019 Turkish Health Survey. Multivariate logistic regression and Oaxaca-Blinder decomposition analyses reveal that 13.10% of adults aged 25 and older in Turkey suffer from chronic respiratory diseases, with a significantly higher prevalence among lower socioeconomic status (SES) individuals.
View Article and Find Full Text PDFBreast Cancer Res Treat
September 2025
Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Purpose: Black women with hormone receptor-positive (HR +) breast cancer are twice as likely as White women to have weakly HR + tumors (1-10% positive cells). Patients with weakly HR + tumors are less frequently prescribed ET and have 60% higher mortality than strongly HR + tumors (> 10% positive cells). We evaluated factors associated with ET prescription and self-reported use among Black women with HR + breast cancer.
View Article and Find Full Text PDFThis study examined sociodemographic and health-related determinants of self-reported unmet health service needs to better understand the factors contributing to inequities among adults aged 50 and older during the COVID-19 pandemic in Latvia. Data from the longitudinal SHARE study-Corona Surveys 1 and 2, and Wave 8-were analysed using logistic regression. A total of 647 cases from Latvia (62.
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