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Background: All-Terrain Vehicles (ATVs) have become popular for recreation use in recent years. Texas has had more ATV related fatalities than any other state in the nation, with rural Northeast Texas having even higher rates of injuries. There is limited data examining the relationship between ATV injuries and the length of hospital stay, as well as hospital costs. This paper examines both issues in children as well as adults. Methods: The regional trauma registry was analyzed for all ATV related injuries between January 2011- October 2016. Injury Severity Score, Glasgow Coma Scale and if they are seen at a Level I Trauma center are predictive for both hospital length of stay and charges. Results: Length of Stay was predicted positively by Injury Severity Score, Emergency Department Respiration Rate and facility at which patients were treated and negatively by Glasgow Coma Scale. Hospital charges were predicted positively by age, Injury Severity Score, facility of treatment, means of transportation, and Emergency Department pulse and negatively by Glasgow Coma Scale. Conclusions: The study found that vital signs can be useful in predicting length of stay and hospital charges. This study not only confirms the findings of other studies regarding what predictors can be used, but expands the research into rural traumatic injuries. It is hoped that this data can help contribute to the development of algorithms to predict which patients will be most likely to require resource intensive treatment. [ABSTRACT FROM AUTHOR]

Objective Test the efficacy of SmartLossSM, a smartphone-based weight loss intervention, in a pilot study. Design and Methods A 12-week randomized controlled trial. Adults (25 ≤ BMI ≤ 35 kg/m2) were randomized to SmartLoss ( n = 20) or an attention-matched Health Education control group ( n = 20). SmartLoss participants were prescribed a 1,200 to 1,400 kcal/d diet and were provided with a smartphone, body weight scale, and accelerometer that wirelessly transmitted body weight and step data to a website. In the SmartLoss Group, mathematical models were used to quantify dietary adherence based on body weight and counselors remotely delivered treatment recommendations based on these objective data. The Health Education group received health tips via smartphone. A mixed model determined if change in weight and other endpoints differed between the groups (baseline was a covariate). Results The sample was 82.5% female. Mean ± SD baseline age, weight (kg), and BMI were 44.4 ± 11.8 years, 80.3 ± 11.5 kg, and 29.8 ± 2.9 kg/m2, respectively. One participant was lost to follow-up in each group before week 4. Weight loss was significantly ( P < 0.001) larger in the SmartLoss (least squares mean ± SEM: −9.4 ± 0.5%) compared with the Health Education group (−0.6 ± 0.5%). Conclusions SmartLoss efficaciously promote clinically meaningful weight loss compared with an attention-matched control group. Smartphone-based interventions might prove useful in intervention dissemination. [ABSTRACT FROM AUTHOR]