The Australian National Aged Care Classification (AN-ACC): a new casemix classification for residential aged care.

OBJECTIVE: To develop a casemix classification to underpin a new funding model for residential aged care in Australia. DESIGN, SETTING: Cross-sectional study of resident characteristics in thirty non-government residential aged care facilities in Melbourne, the Hunter region of New South Wales, and northern Queensland, March 2018 - June 2018. PARTICIPANTS: 1877 aged care residents and 1600 residential aged care staff. MAIN OUTCOME MEASURES: The Australian National Aged Care Classification (AN-ACC), a casemix classification for residential aged care based on the attributes of aged care residents that best predict their need for care: frailty, mobility, motor function, cognition, behaviour, and technical nursing needs. RESULTS: The AN-ACC comprises 13 aged care resident classes reflecting differences in resource use. Apart from the class that included palliative care patients, the primary branches were defined by the capacity for mobility; further classification is based on physical capacity, cognitive function, mental health problems, and behaviour. The statistical performance of the AN-ACC was good, as measured by the reduction in variation statistic (RIV; 0.52) and class-specific coefficients of variation. The statistical performance and clinical acceptability of AN-ACC compare favourably with overseas casemix models, and it is better than the current Australian aged care funding model, the Aged Care Funding Instrument (64 classes; RIV, 0.20). CONCLUSIONS: The care burden associated with frailty, mobility, function, cognition, behaviour and technical nursing needs drives residential aged care resource use. The AN-ACC is sufficiently robust for estimating the funding and staffing requirements of residential aged care facilities in Australia.

Exposure to metals and semivolatile organic compounds in Australian fire stations.

Firefighting is an occupation with exposure to a wide range of chemicals by means of inhalation, ingestion or dermal contact. Although advancements in personal protective clothing and equipment have reduced the risks for acute exposure during fire suppression operations, chronic exposure may still be present at elevated levels in fire stations. The aim of this study was to assess chemicals in air and on surfaces in fire stations, compare this with other indoor environments, and use this data to estimate firefighter exposure within the fire station. Fifteen Australian fire stations were selected for chemical exposure assessment by means of 135 active air monitors, 60 passive air monitors, and 918 wipe samples. These samples were collected from the interior and exterior of fire stations, from personal protective clothing and equipment, and from within the cabins of vehicles. Chemicals analysed included polycyclic aromatic hydrocarbons, volatile organic compounds, metals, and diesel particulate matter. Specific chemicals were detected from within each class of chemicals, with metals being most frequently detected. Statistical analysis by means of Pearson's Correlations and threshold tests were used to consider the source of exposure, and a collective addition risk quotient calculation was used to determine firefighter exposure. The presence of metals in fire stations was compared with findings from global indoor dust measurements. Concentrations across firefighter ensemble, inside vehicle cabins, and within fire stations for chromium (39.5-493 µg/m2), lead (46.7-619 µg/m2), copper (594-3440 µg/m2), zinc (11100-20900 µg/m2), nickel (28.6-2469 µg/m2) and manganese (73.0-997 µg/m2) were in most instances orders of magnitude higher when compared with concentrations measured in homes and offices. Our study suggests that the elevated concentrations are associated with the transfer of chemicals from fire suppression operations. Due to this elevated concentration of chemicals, firefighters may face increased exposure, and in turn increased risk of adverse health effects. Data suggest that exposure may be mitigated by means of increased laundering frequency and increased decontamination at the scene of the fire.