No abstract

IntroductionWhile most children recover from a concussion shortly after injury, approximately 30% experience persistent postconcussive symptoms (pPCS) beyond 1-month postinjury. Existing research into the treatment of pPCS have evaluated unimodal approaches, despite evidence suggesting that pPCS likely represent an interaction across various symptom clusters. The primary aim of this study is to evaluate the effectiveness of a multimodal, symptom-tailored intervention to accelerate symptom recovery and increase the proportion of children with resolved symptoms at 3 months postconcussion.Methods and analysisIn this open-label, assessor-blinded, randomised clinical trial, children with concussion aged 8–18 years will be recruited from The Royal Children’s Hospital (The RCH) emergency department, or referred by a clinician, within 17 days of initial injury. Based on parent ratings of their child’s PCS at ~10 days postinjury, symptomatic children (≥2 symptoms at least 1-point above those endorsed preinjury) will undergo a baseline assessment at 3 weeks postinjury and randomised into either Concussion Essentials (CE, n=108), a multimodal, interdisciplinary delivered, symptom-tailored treatment involving physiotherapy, psychology and education, or usual care (UC, n=108) study arms. CE participants will receive 1 hour of intervention each week, for up to 8 weeks or until pPCS resolve. A postprogramme assessment will be conducted at 3 months postinjury for all participants. Effectiveness of the CE intervention will be determined by the proportion of participants for whom pPCS have resolved at the postprogramme assessment (primary outcome) relative to the UC group. Secondary outcome analyses will examine whether children receiving CE are more likely to demonstrate resolution of pPCS, earlier return to normal activity, higher quality of life and a lower rate of utilisation of health services, compared with the UC group.Ethics and disseminationEthics were approved by The RCH Human Research Ethics Committee (HREC: 37100). Parent, and for mature minors, participant consent, will be obtained prior to commencement of the trial. Study results will be disseminated at international conferences and international peer-reviewed journals.Trial registration numberACTRN12617000418370; pre-results.

Pediatric concussion is a growing health concern. Concussion is generally poorly understood within the community. Many parents are unaware of the signs and varying symptoms of concussion. Despite the existence of concussion management and return to play guidelines, few parents are aware of how to manage their child's recovery and return to activities. Digital health technology can improve the way this information is communicated to the community. A multidisciplinary team of pediatric concussion researchers and clinicians translated evidence-based, gold-standard guidelines and tools into a smartphone application with recognition and recovery components. HeadCheck is a community facing digital health application developed in Australia (not associated with HeadCheck Health) for management of concussion in children aged 5-18 years. The application consists of (I) a sideline concussion check and (II) symptom monitoring and symptom-targeted psychoeducation to assist the parent manage their child's safe return to school, exercise and sport. The application was tested with target end users as part of the development process. HeadCheck provides an accessible platform for disseminating best practice evidence. It provides feedback to help recognize a concussion and symptoms of more serious injuries and assists parents guide their child's recovery.

No abstract

Rationale, aims and objectives There is a high prevalence of upper limb impairment following a stroke in both the acute and chronic phases of recovery. Evidence suggests that patients do not receive recommended amounts of task specific practice. Robotics provide a potential solution to address this gap but clinical adoption is low. Studies have found that adoption of technology is largely determined by perceived ease of use and perceived usefulness. The aim of this study was to utilise the extended technology acceptance model (TAM2) as a framework to identify factors influencing clinician adoption of a robotic