The impact of sport and active recreation injuries on physical activity levels at 12 months post-injury

The aim of this study was to evaluate the impact of serious sport and active recreation injury on 12-month physical activity levels. Adults admitted to hospital with sport and active recreation-related injuries, and captured by the Victorian Orthopaedic Trauma Outcomes Registry were recruited to the study. Changes between preinjury and 12 month post-injury physical activity was assessed using the short International Physical Activity Questionnaire (IPAQ). Independent demographic, injury, and hospital variables were assessed for associations with changes in physical activity levels, using multivariate linear regression. A total of 324 patients were recruited, of which 98% were followed up at 12 months. Mean short IPAQ scores decreased from 7650 METS (95% CI: 7180, 8120) preinjury to 3880 METS; (95% CI: 3530, 4250) post-injury, independent of functional recovery. Education level and occupation group were the only variables independently associated with changes in physical activity levels post-injury. These results highlighted that sport and active recreation injuries lead to significant reductions in physical activity levels. Hence, the prevention of sport and active recreation injuries is important when considering promotion of activity at a population level.

The 6-PACK programme to decrease falls and fall-related injuries in acute hospitals : protocol for an economic evaluation alongside a cluster randomised controlled trial

Background Falls are a common hospital occurrence complicating the care of patients. From an economic perspective, the impact of in-hospital falls and related injuries is substantial. However, few studies have examined the economic implications of falls prevention interventions in an acute care setting. The 6-PACK programme is a targeted nurse delivered falls prevention programme designed specifically for acute hospital wards. It includes a risk assessment tool and six simple strategies that nurses apply to patients classified as high-risk by the tool.
Objective To examine the incremental cost-effectiveness of the 6-PACK programme for the prevention of falls and fall-related injuries, compared with usual care practice, from an acute hospital perspective.
Methods and design The 6-PACK project is a multicentre cluster randomised controlled trial (RCT) that includes 24 acute medical and surgical wards from six hospitals in Australia to investigate the efficacy of the 6-PACK programme. This economic evaluation will be conducted alongside the 6-PACK cluster RCT. Outcome and hospitalisation cost data will be prospectively collected on approximately 16 000 patients admitted to the participating wards during the 12-month trial period. The results of the economic evaluation will be expressed as ‘cost or saving per fall prevented’ and ‘cost or saving per fall-related injury prevented’ calculated from differences in mean costs and effects in the intervention and control groups, to generate an incremental cost-effectiveness ratio (ICER).
Discussion This economic evaluation will provide an opportunity to explore the cost-effectiveness of a targeted nurse delivered falls prevention programme for reducing in-hospital falls and fall-related injuries. This protocol provides a detailed statement of a planned economic evaluation conducted alongside a cluster RCT to investigate the efficacy of the 6-PACK programme to prevent falls and fall-related injuries.

Corner Inlet and Nooramunga Habitat Mapping Project – Part 2 : High resolution mapping and change detection analysis using 2011 Rapid Eye Satellite Image compared to 2009 ALOS Satellite Image

Building on a habitat mapping project completed in 2011, Deakin University was commissioned by Parks Victoria (PV) to apply the same methodology and ground-truth data to a second, more recent and higher resolution satellite image to create habitat maps for areas within the Corner Inlet and Nooramunga Marine and Coastal Park and Ramsar area. A ground-truth data set using in situ video and still photographs was used to develop and assess predictive models of benthic marine habitat distributions incorporating data from both RapidEye satellite imagery (corrected for atmospheric and water column effects by CSIRO) and LiDAR (Light Detection and Ranging) bathymetry. This report describes the results of the mapping effort as well as the methodology used to produce these habitat maps.

Overall accuracies of habitat classifications were good, with error rates similar to or better than the earlier classification (>73 % and kappa values > 0.58 for both study localities). The RapidEye classification failed to accurately detect Pyura and reef habitat classes at the Corner Inlet locality, possibly due to differences in spectral frequencies. For comparison, these categories were combined into a ‘non-seagrass’ category, similar to the one used at the Nooramunga locality in the original classification. Habitats predicted with highest accuracies differed from the earlier classification and were Posidonia in Corner Inlet (89%), and bare sediment (no-visible seagrass class) in Nooramunga (90%). In the Corner Inlet locality reef and Pyura habitat categories were not distinguishable in the repeated classification and so were combined with bare sediments. The majority of remaining classification errors were due to the misclassification of Zosteraceae as bare sediment and vice versa. Dominant habitats were the same as those from the 2011 classification with some differences in extent. For the Corner Inlet study locality the no-visible seagrass category remained the most extensive (9059 ha), followed by Posidonia (5,513 ha) and Zosteraceae (5,504 ha). In Nooramunga no-visible seagrass (6,294 ha), Zosteraceae (3,122 ha) and wet saltmarsh (1,562 ha) habitat classes were most dominant.

Change detection analyses between the 2009 and 2011 imagery were undertaken as part of this project, following the analyses presented in Monk et al. (2011) and incorporating error estimates from both classifications. These analyses indicated some shifts in classification between Posidonia and Zosteraceae as well as a general reduction in the area of Zosteraceae. Issues with classification of mixed beds were apparent, particularly in the main Posidonia bed at Nooramunga where a mosaic of Zosteraceae and Posidonia was seen that was not evident in the ALOS classification. Results of a reanalysis of the 1998-2009 change detection illustrating effects of binning of mixed beds is also provided as an appendix.

This work has been successful in providing baseline maps at an improved level of detail using a repeatable method meaning that any future changes in intertidal and shallow water marine habitats may be assessed in a consistent way with quantitative error assessments. In wider use, these maps should also allow improved conservation planning, advance fisheries and catchment management, and progress infrastructure planning to limit impacts on the Inlet environment.

Practical field use of eye-tracking devices for consumer research in the retail environment

Eye-tracking equipment is now affordable and portable, making it a practical instrument for consumer research. Engineered to best analyze gaze on a plane (e.g., a retail shelf), both portable eye-tracking glasses and computer monitor–mounted hardware can play key roles in analyzing merchandise displays to better understand what consumers view. Researchers and practitioners can use that information to improve the sales efficacy of displays. Eye-tracking hardware was nearly exclusively used to investigate the reading process but can now be used for a broader range of study, namely in retail settings. This article presents an approach to using glasses eye tracker (GET) and light eye tracker (LET) eye-tracking hardware for applied consumer research in the field. We outline equipment use, study construction, data extraction as well as benefits and limitations of the technology collected from several pilot studies.