Workplace abuse among correctional health professionals in New South Wales, Australia

Objective. Studies have found that health workers are at elevated risk of being abused while at work. Little is known, however, about workplace abuse among correctional health professionals. We implemented a cross-sectional study to investigate the prevalence, sources and consequences of workplace abuse among correctional health professionals in New South Wales, Australia. Methods. All employees of Justice Health (a statutory health corporation) were invited to complete a self-administered survey, which was delivered via the internet. Among nurses, medical doctors and allied health professionals, 299 usable surveys were returned; a response rate of 42%. Results. In the preceding 3 months, 76% of participants had personally experienced some form of abuse in their workplace, all but one of whom recalled verbal abuse. Only 16% reported physical abuse. Seventy per cent reported feeling safe in their workplace. Patients were identified as the main perpetrators of abuse, followed by fellow health staff. Participants felt that incidents of workplace abuse increased their potential to make errors while providing care to patients and reduced their productivity while at work. Conclusions. Compared with health workers who practise in a community setting, the risk of physical abuse among correctional health professionals appears to be low. What is known about the topic? Health professionals are at a high risk of workplace abuse. Studies have demonstrated that the risk of abuse varies by health profession and the practice environment. There is a paucity of research exploring workplace abuse among correctional health professionals. What does this paper add? A cross-sectional survey found that a relatively small proportion of correctional health professionals in New South Wales had been subjected to physical abuse in their workplace in the preceding 3 months. Verbal abuse, however, was reported by a majority of participants. Although patients were the most commonly reported source of abuse, a worrying level of health worker on health worker abuse (also known as horizontal abuse) was found. What are the implications for practitioners? Preventive strategies should address the temporal, environmental and structural determinants of workplace abuse in correctional and forensic facilities. More research is needed to identify the factors associated with horizontal abuse among correctional health professionals. This would allow the establishment of tailored preventive programs. © 2012 AHHA

Long-term nitrogen dioxide exposure assessment using back-extrapolation of satellite-based land-use regression models for Australia

Assessing historical exposure to air pollution in epidemiological studies is often problematic because of limited spatial and temporal measurement coverage. Several methods for modelling historical exposures have been described, including land-use regression (LUR). Satellite-based LUR is a recent technique that seeks to improve predictive ability and spatial coverage of traditional LUR models by using satellite observations of pollutants as inputs to LUR. Few studies have explored its validity for assessing historical exposures, reflecting the absence of historical observations from popular satellite platforms like Aura (launched mid-2004). We investigated whether contemporary satellite-based LUR models for Australia, developed longitudinally for 2006–2011, could capture nitrogen dioxide (NO2) concentrations during 1990–2005 at 89 sites around the country. We assessed three methods to back-extrapolate year-2006 NO2 predictions: (1) ‘do nothing’ (i.e., use the year-2006 estimates directly, for prior years); (2) change the independent variable ‘year’ in our LUR models to match the years of interest (i.e., assume a linear trend prior to year-2006, following national average patterns in 2006–2011), and; (3) adjust year-2006 predictions using selected historical measurements. We evaluated prediction error and bias, and the correlation and absolute agreement of measurements and predictions using R2 and mean-square error R2 (MSE-R2), respectively. We found that changing the year variable led to best performance; predictions captured between 41% (1991; MSE-R2 = 31%) and 80% (2003; MSE-R2 = 78%) of spatial variability in NO2 in a given year, and 76% (MSE-R2 = 72%) averaged over 1990–2005. We conclude that simple methods for back-extrapolating prior to year-2006 yield valid historical NO2 estimates for Australia during 1990–2005. These results suggest that for the time scales considered here, satellite-based LUR has a potential role to play in long-term exposure assessment, even in the absence of historical predictor data. © 2018 Elsevier Inc