ABSTRACT
The increasing frequency and severity of wildfires due to climate change pose health risks to migrant farm workers laboring in wildfire-prone regions. This study focuses on Sonoma County, California, investigating the effectiveness of air monitoring and safety protections for farmworkers. The analysis employs AirNow and PurpleAir PM2.5 data acquired during the 2020 wildfire season, comparing spatial variability in air pollution. Results show significant differences between the single Sonoma County AirNow station data and the PurpleAir data in the regions directly impacted by wildfire smoke. Three distinct wildfire pollution episodes with elevated PM2.5 levels are identified to examine the regional variations. This study also examines the system used to exempt farmworkers from wildfire mandatory evacuation orders, finding incomplete information, ad hoc decision-making, and scant enforcement. In response, we make policy recommendations that include stricter requirements for employers, real-time air quality monitoring, post-exposure health screenings, and hazard pay. Our findings underscore the need for significant consideration of localized air quality readings and the importance of equitable disaster policies for protecting the health of farmworkers (particularly those who are undocumented migrants) in the face of escalating wildfire risks.
ABSTRACT
BACKGROUND: An ageing workforce and increased vacancies has seen a steady growth in nursing student enrolments. This has created a need to re-think how to optimise existing clinical placement opportunities while ensuring quality student experiences and staff satisfaction in their support role. OBJECTIVES: To provide insights into the experiences and satisfaction levels of Registered Nurses who supported nursing students during clinical placement using a facility-based model. DESIGN: A quasi-experimental design. SETTINGS: Three wards in an acute care facility and Primary and Community Health within the Southwest of Sydney, New South Wales, Australia. PARTICIPANTS: Participants included Registered Nurses/Midwives, Facility-based liaison support staff, and Nurse Managers. INTERVENTION: Within the 24/7 facility-based model, each nursing student was allocated to one Registered Nurse for the duration of the clinical placement period. The pair was rostered to complete the same day, evening, night, and weekend shifts. METHODS: A cross-sectional survey related to staff satisfaction was administered to participants at two time points: (a) prior to the commencement of the intervention (baseline survey); and (b) at the completion of the intervention. Following the intervention participants were invited to a focus group or an individual interview. RESULTS: There were no statistically significant changes in the levels of staff satisfaction from baseline to post-intervention; with personal fulfilment scoring the highest and workload the lowest. Staff who worked in the Primary and Community Health settings were less satisfied with this model of student support. Overall, most participants reported high personal satisfaction, professional growth and development opportunities yet acknowledged this came at a cost, with an increased workload. CONCLUSIONS: Participants were satisfied with the facility-based model in supporting student learning on clinical placement. The model is fit for purpose however it does need to be tailored to the contextual needs of nurses working in Primary and Community settings.
