Sports-related postconcussion changes in cerebral blood flow and white matter persist in athletes up to one year after injury.

Background and ObjectivesMedical clearance for return to play (RTP) after sports-related concussion is based on clinical assessment. It is unknown whether brain physiology has entirely returned to pre...

Objective To examine bidirectional associations between objective measures of sleep quantity and quality with postconcussion symptoms (PCS) scores in concussed youth during the first week postinjury…

To preliminarily describe autonomic nervous system (ANS) related symptoms and examine their relationship with ANS function and postconcussion symptoms…

This cohort study investigates the association between cumulative moderate-to-vigorous-intensity physical activity throughout 2 weeks after a concussion and the symptom burden a 1 week, 2 weeks, and 4...

Background In 1997, the National Hockey League (NHL) and NHL Players’ Association (NHLPA) launched a concussion program to improve the understanding of this injury. We explored initial postconcussion ...

Background: Diagnostics, treatment, and research of persisting post-concussion symptoms are challenging. Assessing symptoms is essential, but current implemented methods only allow for retrospective reporting of symptoms. An mobile health (mHealth) symptom mapping app for adults with persisting post-concussion symptoms may be an accessible and cost-efficient alternative. Objective: The aim of the current study was to develop a research-based mobile app for symptom mapping for adults with persisting post-concussion symptoms and investigate its #usability, feasibility, and safety. Methods: This was a mixed-method development and #usability study consisting of three iterative cycles, each including a) app design and programming, b) #usability evaluation by the user group, and c) review by the clinician group. The outcomes were the mHealth App #usability Questionnaire and Mobile App Rating Scale scores, the number of days with logged symptom data during a home-testing period, and descriptions of adverse events throughout the study period. Semi-structured interviews were conducted to explore the user group’s experiences further. Results: Twenty-three adults with persisting post-concussion symptoms (median age 52 years, IQR 59-34), of whom 16 (80%) females, were included in the user group. Six clinicians (median age 53 years, IQR 60-35), including three (50%) females, with a mean of 13 years of experience working with individuals with persisting post-concussion symptoms, were included in the clinician group. The app received a mean score of 5.0 (SD 1.1) on the mHealth App #usability Questionnaire (7-point Likert scale) from the user group and 4.1 (SD 0.4) on the Mobile App Rating Scale (5-point Likert Scale) from the clinician group. During the 28-day home-testing period, the adherence rate among the participants in the user group was 89% (IQR 0.78-0.96). Three themes were created through reflexive thematic analysis of the qualitative data: (1) Visualizing the invisible – enabling reflection and insight; (2) Personalized yet simple – balancing relevance and usefulness; and (3) More than just a number – the complexity behind the symptom scores. Conclusions: We developed a research-based symptom mapping app for people with persisting post-concussion symptoms. The app received high #usability ratings from both the user and clinician groups, the app is a feasible alternative to traditional symptom mapping methods, and it is safe to use for its intended purpose. Clinical Trial: ClinicalTrials.gov NCT05635656.

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