View clinical trials related to Skull Fractures.
Filter by:The goal of this observational study is to develop and validate a clinical tool to predict which adolescents aged 11 to less than 18 years of age with mild traumatic brain injury (mTBI) are at an increased risk for developing significant new or worsening mental health conditions. The main aims the study wish to answer are: - Does the adolescent have new or worsening depression or anxiety defined as a change from their previous medical history using self-reported questionnaires at either one or three months post-injury? - Does the adolescent have unmet mental health care needs, defined as not receiving any mental or behavior health care in patients with new or worsening anxiety or depression as defined by the self reported questionnaires? Participants will be enrolled after being diagnosed in the emergency department (ED) with an mTBI. During the ED visit, the child's parent/caregiver and the adolescent will complete several questionnaires related to mental health which include tools to measure anxiety and depression. Participants will be asked to complete these questionnaires again at 1 month and 3 months post enrollment.
Non-Contrast Computed Tomography (NCCT) of the head is the most common imaging method used to assess patients attending the Emergency Department (ED) with a wide range of significant neurological presentations including trauma, stroke, seizure and reduced consciousness. Rapid review of the images supports clinical decision-making including treatment and onward referral. Radiologists, those reporting scans, often have significant backlogs and are unable to prioritise abnormal images of patients with time critical abnormalities. Similarly, identification of normal scans would support patient turnover in ED with significant waits and pressure on resources. To address this problem, Qure.AI has worked to develop the market approved qER algorithm, which is a software program that can analyse CT head to identify presence of abnormalities supporting workflow prioritisation. This study will trial the software in 4 NHS hospitals across the UK to evaluate the ability of the software to reduce the turnaround time of reporting scans with abnormalities that need to be prioritised.
This study aims to evaluate the accuracy of POCUS as a screening tool for early diagnosis of skull fractures in children with mild closed head injuries admitted to the emergency department. The results would aid the emergency physicians to speed up the management and reduce the cost of diagnosing skull fractures and TBI.
Background and study aims: Computerised Tomography (CT) head scans are frequently requested by Emergency Department (ED) clinicians as one of the investigations for their patients. This often causes a delay when waiting for specialist radiologists to report the findings of the scan. The purpose of this study is to see if online training can improve the ability of ED clinicians to interpret the scans themselves, to a level sufficient to make clinical decisions based on their findings and to explore what aspects of this process they find most challenging. Participants: Emergency Department clinicians who are working in the Emergency Departments of participating sites between April to September 2022 (inclusive), who request CT Head scans as part of their routine clinical practice. What does the study involve?: 180 ED clinicians will be recruited across 6 hospital sites in the United Kingdom. All will undertake a baseline online assessment to measure their accuracy in interpreting CT head scans. One group will then undertake an online training module, with a subsequent assessment immediately afterwards, then over the following 3 months will record interpretations for 30 CT head scans. Head images encountered in participants' routine clinical practice, and their findings, will be compared with the radiology reports for each scan. Participants will then undertake further online assessments 3 and 6 months after the start of the study. Their overall results will be compared with a control group, who will undergo the same process, but undertake the online training after they have tried to interpret 30 scans in their clinical practice. Participants will continue to base their clinical decisions on radiologist reports, not their own interpretations, so patient care will not be affected by this study.