We present the argument that medical recruitment to a previously under-recruited remote town was effected through what Social Network Analysis (SNA) measures as "brokerage" which operates amidst "structural holes". We proposed that medical graduates being generated by the national Rural Health School movement in Australia were particularly affected by the combined effect of workforce lacks (structural holes) and strong social commitments (brokerage) - all key SNA concepts. We therefore chose SNA to assess whether the characteristics of RCS-related rural recruitment had feature that SNA might be able to identify, as operantly measured using the industry-standard UCINET's suite of statistical and graphical tools.
View Article and Find Full Text PDFThis study uses data from a Rural Clinical School of Western Australia (RCSWA) and WA Country Health (WACHS) study on rural work intentions among junior doctors to explore their internal decision-making processes and gain a better understanding of how junior doctors make decisions along their career pathway. This was a qualitative study involving junior doctor participants in postgraduate years (PGY) 1 to 5 undergoing training in Western Australia (WA). Data was collected through semi-structured telephone interviews.
View Article and Find Full Text PDFMedical graduates' early career is known to be disorienting, and career decision-making is influenced by a complex set of factors. There is a strong association between rural background and rural undergraduate training and rural practice, and personal and family factors have been shown to influence workplace location, but the interaction between interest, training availability, and other work-relevant factors has not yet been fully explored. A qualitative study conducted by the Rural Clinical School of Western Australia (RCSWA) and WA Country Health Service (WACHS) explored factors influencing the decision to pursue rural work among junior doctors.
View Article and Find Full Text PDFObjectives: In 1984, male UK offshore workers had greater overweight and obesity prevalence and fat content than the general population. Since then, body weight has increased by 19%, but, without accompanying anthropometric measures, their size increase, current obesity, and fatness prevalence remain unknown. This study therefore aimed to acquire contemporary anthropometric data, profile changes since the original survey, and assess current obesity prevalence in the male offshore workforce.
View Article and Find Full Text PDFObjectives: Applying geometric similarity predictions of body dimensions to specific occupational groups has the potential to reveal useful ergonomic and health implications. This study assessed a representative sample of the male UK offshore workforce, and examined how body dimensions from sites typifying musculoskeletal development or fat accumulation, differed from predicted values.
Methods: A cross sectional sample was obtained across seven weight categories using quota sampling, to match the wider workforce.