BackgroundThere is limited Australian epidemiological research that reports on the foot-health characteristics of people with diabetes, especially within rural and regional settings. The objective of this study was to explore the associations between demographic, socio-economic and diabetes-related variables with diabetes-related foot morbidity in people residing in regional and rural Australia.MethodsAdults with diabetes were recruited from non-metropolitan Australian publicly-funded podiatry services. The primary variable of interest was the University of Texas diabetic foot risk classification designated to each participant at baseline. Independent risk factors for diabetes-related foot morbidity were identified using multivariable analysis.ResultsEight-hundred and ninety-nine participants enrolled, 443 (49.3%) in Tasmania and 456 (50.7%) in Victoria. Mean age was 67 years (SD 12.7), 9.2% had type 1 diabetes, 506 (56.3%) were male, 498 (55.4%) had diabetes for longer than 10 years and 550 (61.2%) either did not know the ideal HbA1c target or reported that it was ≥7.0. A majority had peripheral neuropathy or worse foot morbidity (61.0%). Foot morbidity was associated with male sex (OR 2.42, 95% CI 1.82–3.22), duration of diabetes > 20 years (OR 3.25, 95% CI 2.22–4.75), and Tasmanian residence (OR 3.38, 95% CI 2.35–4.86).ConclusionsA high proportion of the regional Australian clinical population with diabetes seen by the publicly-funded podiatric services in this study were at high risk of future limb threatening foot morbidity, and participants residing in Northern Tasmania are more likely to have worse diabetes-related foot morbidity than those from regional Victoria. Service models should be reviewed to ensure that diabetes-related foot services are appropriately developed and resourced to deliver interdisciplinary evidence-based care.

Neurorobotic augmentation (e.g., robotic assist) is now in regular use to support individuals suffering from impaired motor functions. A major unresolved challenge, however, is the excessive cognitive load necessary for the human–machine interface (HMI). Grasp control remains one of the most challenging HMI tasks, demanding simultaneous, agile, and precise control of multiple degrees-of-freedom (DoFs) while following a specific timing pattern in the joint and human–robot task spaces. Most commercially available systems use either an indirect mode-switching configuration or a limited sequential control strategy, limiting activation to one DoF at a time. To address this challenge, we introduce a shared autonomy framework centred around a low-cost multi-modal sensor suite fusing: (a) mechanomyography (MMG) to estimate the intended muscle activation, (b) camera-based visual information for integrated autonomous object recognition, and (c) inertial measurement to enhance intention prediction based on the grasping trajectory. The complete system predicts user intent for grasp based on measured dynamical features during natural motions. A total of 84 motion features were extracted from the sensor suite, and tests were conducted on 10 able-bodied and 1 amputee participants for grasping common household objects with a robotic hand. Real-time grasp classification accuracy using visual and motion features obtained 100%, 82.5%, and 88.9% across all participants for detecting and executing grasping actions for a bottle, lid, and box, respectively. The proposed multimodal sensor suite is a novel approach for predicting different grasp strategies and automating task performance using a commercial upper-limb prosthetic device. The system also shows potential to improve the usability of modern neurorobotic systems due to the intuitive control design.

Background Clinical supervision makes an important contribution to high quality patient care and professional wellbeing for the allied health workforce. However, there is limited research examining the longitudinal implementation of clinical supervision for allied health. The aim of this study was to determine the effectiveness of clinical supervision for allied health at a regional health service and clinicians’ perceptions of the implementation of an organisational clinical supervision framework. Methods A cross-sectional study was conducted as a phase of an overarching participatory action research study. The Manchester Clinical Supervision Scale (MCSS-26) tool was used to measure clinical supervision effectiveness with additional open-ended questions included to explore the implementation of the clinical supervision framework. MCSS-26 findings were compared with an initial administration of the MCSS-26 5 years earlier. MCSS-26 data (total scores, summed domain and sub-scale scores) were analysed descriptively and reported as mean and standard deviation values. Differences between groups were analysed with independent-samples t-test (t) and one-way between groups ANOVA. Results There were 125 responses to the survey (response rate 50%). The total MCSS-26 score was 78.5 (S.D. 14.5). The total MCSS-26 score was unchanged compared with the initial administration. There was a statistically significant difference in clinical supervision effectiveness between speech pathology and physiotherapy (F = 2.9, p = 0.03) and higher MCSS-26 scores for participants whose clinical supervisor was a senior clinician and those who chose their clinical supervisor. Seventy percent of participants perceived that the organisation’s clinical supervision framework was useful and provided structure and consistent expectations for clinical supervision. Conclusions Clinical supervision was effective for allied health in this regional setting and clinical supervision effectiveness was maintained over a 5 year period. The implementation of an organisational clinical supervision framework may have a positive effect on clinical supervision for some professions.