A national satellite-based land-use regression model for air pollution exposure assessment in Australia

Land-use regression (LUR) is a technique that can improve the accuracy of air pollution exposure assessment in epidemiological studies. Most LUR models are developed for single cities, which places limitations on their applicability to other locations. We sought to develop a model to predict nitrogen dioxide (NO2) concentrations with national coverage of Australia by using satellite observations of tropospheric NO2 columns combined with other predictor variables. We used a generalised estimating equation (GEE) model to predict annual and monthly average ambient NO2 concentrations measured by a national monitoring network from 2006 through 2011. The best annual model explained 81% of spatial variation in NO2 (absolute RMS error=1.4 ppb), while the best monthly model explained 76% (absolute RMS error=1.9 ppb). We applied our models to predict NO2 concentrations at the ~350,000 census mesh blocks across the country (a mesh block is the smallest spatial unit in the Australian census). National population-weighted average concentrations ranged from 7.3 ppb (2006) to 6.3 ppb (2011). We found that a simple approach using tropospheric NO2 column data yielded models with slightly better predictive ability than those produced using a more involved approach that required simulation of surface-to-column ratios. The models were capable of capturing within-urban variability in NO2, and offer the ability to estimate ambient NO2 concentrations at monthly and annual time scales across Australia from 2006–2011. We are making our model predictions freely available for research.

Chinese EFL students' response to an assessment policy change

In light of its documented potential for enhancing learning, formative assessment has been adopted across a range of educational contexts to improve the quality of education. The assessment innovation that the Chinese Ministry of Education (CMoE) proposed to College English in 2007 via the College English Curriculum Requirements (CECR) (CMoE, 2007), is an initiative of this kind. Considering the acknowledged influence of assessment on students’ learning, it is instructive to explore the ways in which Chinese university students respond to an assessment policy change of this magnitude, particularly as it positions them as more active learners, having the potential for increased agency and engagement in their English language learning and assessment practices. In order to explore the response of students to this assessment initiative, a case study was conducted in the context of a College English classroom. Data included an interview with a College English teacher and four students from her classes, and classroom observations and a survey of her two classes of 100 students. Analysis of the data reveals that Chinese students’ responses to the assessment policy change are influenced by a variety of sociocultural factors, including their previous English language learning and assessment experience and the extent to which they are willing to play the ‘assessment game’. These findings have implications for policy and practice.

Implementation of sustainable evidence-based practice for the assessment and management of pain in residential aged care facilities

Pain is common in residential aged care facilities (RACFs). In 2005, the Australian Pain Society developed 27 recommendations for good practice in the identification, assessment, and management of pain in these settings. This study aimed to address implementation of the standards and evaluate outcomes. Five facilities in Australia participated in a comprehensive evaluation of RACF pain practice and outcomes. Pre-existing pain management practices were compared with the 27 recommendations, before an evidence-based pain management program was introduced that included training and education for staff and revised in-house pain-management procedures. Post-implementation audits evaluated the program's success. Aged care staff teams also were assessed on their reports of self-efficacy in pain management. The results show that before the implementation program, the RACFs demonstrated full compliance on 6 to 12 standards. By the project's completion, RACFs demonstrated full compliance with 10 to 23 standards and major improvements toward compliance in the remaining standards. After implementation, the staff also reported better understanding of the standards (p < .001) or of facility pain management guidelines (p < .001), increased confidence in therapies for pain management (p < .001), and increased confidence in their training to assess pain (p < .001) and recognize pain in residents with dementia who are nonverbal (p = .003). The results show that improved evidence-based practice in RACFs can be achieved with appropriate training and education. Investing resources in the aged care workforce via this implementation program has shown improvements in staff self-efficacy and practice.