Existing empirical research does not provide a sufficient body of evidence to guide athletes and healthcare professionals in making analgesic medication treatment decisions. Based on the relatively robust evidence regarding the widespread use of NSAIDs, clinicians and policymakers should carefully assess their current recommendations for NSAID use and adhere to a more unified consensus-based strategy for multidisciplinary pain management in elite athletes. In the future, we hope to see more rigorous, prospective studies of various pain management strategies in elite athletes, thus enabling a shift from consensus-based recommendations to evidence-based recommendations.

In a previous randomized controlled trial (RCT), Virtual Interview Training for Transition Age Youth (VIT-TAY) enhanced employment for autistic youth receiving transition services. For this study, a nonrandomized hybrid effectiveness-implementation trial evaluated whether VIT-TAY maintained its core implementation and effectiveness functions when scaled out to students with disabilities in 32 schools. Also, we compared the implementation and effectiveness between VIT-TAY and Virtual Reality Job Interview Training (VR-JIT; developed for adults and previously evaluated in students with disabilities). Core implementation functions did not differ between VIT-TAY and VR-JIT. Greater engagement with either training was significantly associated with employment (both p < .05). Overall, VIT-TAY was feasibly implemented with high adherence and may be effective at enhancing employment for students with disabilities. Limitations and implications for research and practice are discussed.

Chronic pain leads to reduced quality of life for patients, and strains health systems worldwide. In the U.S. and some other countries, the complexities of caring for chronic pain are exacerbated by individual and public health risks associated with commonly used opioid analgesics. To help understand and improve pain care, this article uses the data-frame theory of sensemaking to explore how primary care clinicians in the U.S. manage their patients with chronic noncancer pain. We conducted Critical Decision Method interviews with 10 primary care clinicians about 30 individual patients with chronic pain. In these interviews, we identified several patient, social/ environmental, and clinician factors that influence the frames clinicians use to assess their patients and determine a pain management plan. Findings suggest significant ambiguity and uncertainty in clinical pain management decision making. Therefore, interventions to improve pain care might focus on supporting sensemaking in the context of clinical evidence rather than attempting to provide clinicians with decontextualized and/or algorithm-based decision rules. Interventions might focus on delivering convenient and easily interpreted patient and social/environmental information in the context of clinical practice guidelines.

Background For complex patients with chronic conditions, electronic health records (EHRs) contain large amounts of relevant historical patient data. To use this information effectively, clinicians may benefit from visual information displays that organize and help them make sense of information on past and current treatments, outcomes, and new treatment options. Unfortunately, few clinical decision support tools are designed to support clinical sensemaking. Objective The objective of this study was to describe a decision-centered design process, and resultant interactive patient information displays, to support key clinical decision requirements in chronic noncancer pain care. Methods To identify key clinical decision requirements, we conducted critical decision method interviews with 10 adult primary care clinicians. Next, to identify key information needs and decision support design seeds, we conducted a half-day multidisciplinary design workshop. Finally, we designed an interactive prototype to support the key clinical decision requirements and information needs uncovered during the previous research activities. Results The resulting Chronic Pain Treatment Tracker prototype summarizes the current treatment plan, past treatment history, potential future treatments, and treatment options to be cautious about. Clinicians can access additional details about each treatment, current or past, through modal views. Additional decision support for potential future treatments and treatments to be cautious about is also provided through modal views. Conclusion This study designed the Chronic Pain Treatment Tracker, a novel approach to decision support that presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.