Introduction: Helicopters play an important role in trauma; however, this service comes with safety risks, high transport costs, and downstream care charges.
Objective: Our objective was to determine the characteristics of early discharged trauma patients (<24 h length of stay) in order to reduce overtriage.
Methodology: Data were obtained from the trauma registries at one of two Level 1 trauma centers. Eligible patients included all scene trauma patients transported by helicopter to the Level 1 trauma centers from January 1, 2016, to December 31, 2017, who had a length of stay of 24 h or less. Patient factors such as age, gender, scene location, loaded miles, and transportation costs were collected. Trauma type, mechanism of injury, Abbreviated Injury Scale (AIS), Injury Severity Score, Revised Trauma Score, and prehospital vital signs were documented. Driving distances between the accident scene to local hospital, home of record to local hospital, and home of record to the Level I trauma center were also calculated for patients transported to Level 1 trauma center.
Results: Two hundred and twenty-six of 1042 total patients (21.7%) were discharged within 24 h of helicopter transport from the accident scene to trauma center. Less than 2% of patients were in the age group of 70 years or older. Only 2 (0.88%) patients discharged within 24 h had a prehospital systolic blood pressure <90 mmHg. For patients transported to Level 1 trauma center, the average loaded miles were 50.51 ± 14.99, with average transport charges being $27,921.19± $3536.61. Twenty-one percent of Level 1 trauma center patients were self-pay, and families typically drove 71.7 ± 123.23 miles to Level 1 trauma center versus 28.74 ± 40.62 to their local emergency department.
Conclusions: A significant number of patients transported from the scene are discharged within 24 h of admission to a trauma center. These patients rarely have prehospital hypotension, do not receive significant volumes of crystalloid resuscitation, and are infrequently over 70 years of age. One in five patients has no third-party coverage and assumes $27,921.19 in average transport charges.
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http://dx.doi.org/10.4103/IJCIIS.IJCIIS_75_19 | DOI Listing |
J Eval Clin Pract
February 2025
Nursing Department, Faculty of Health Sciences, Karadeniz Technical University, Trabzon, Türkiye.
Introduction: Implementation of clinical practice guidelines, an important strategy in the prevention of pressure injuries, enables the nurse to interpret evidence-based guideline recommendations, reduce errors, ensure compliance and standardisation of complex processes, manage patient-related risks and systematically regulate all preventable conditions.
Objective: This study was conducted to ensure the Turkish language and content validity of the Standardised Pressure Injury Prevention Protocol (SPIPP- Adult) Checklist 2.0.
Sci Rep
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Artificial Intelligence in Medical Sciences Research Center, Smart University of Medical Sciences, Tehran, Iran.
Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and mitigate the long-term effects of strokes. The aim of this study is to compare these models, exploring their efficacy in predicting stroke.
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December 2024
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Old thoracolumbar fracture with kyphosis (OTLFK) often results in low back pain, with intervertebral disc degeneration being a significant contributor. We hypothesized that patients with OTLFK exhibit distinct patterns of disc degeneration compared to those with chronic low back pain without kyphotic deformity. This study aimed to investigate the characteristics of disc degeneration in OTLFK patients and explore its association with sagittal spinal parameters and endplate injury.
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