Objective To collect prospective data on concussion incidence, risk factors, duration of symptoms, and return to school and sport in 5-to 14-year-old American football participants. Study design We conducted a prospective cohort study over 2 years collecting data during two 10-week fall seasons. Youth with concussion were followed to determine time to return to school, sport, and baseline level of symptoms. Logistic regression was used to estimate the risk of sustaining a concussion associated with baseline demographic factors. Time to return to school, sport, and baseline symptoms were analyzed using Kaplan-Meier survival curves. Results Of 863 youth followed (996 player-seasons), 51 sustained a football-related concussion, for an athletelevel incidence of 5.1% per season. Youth with history of concussion had a 2-fold increased risk for sustaining an incident concussion (OR, 2.2; 95% CI, 1.1-4.8). Youth with depression had a 5-fold increased risk of concussion (OR, 5.6; 95% CI, 1.7-18.8). After a concussion, 50% of athletes returned to school by 3 days, 50% returned to sport by 13 days, and 50% returned to a baseline level of symptoms by 3 weeks. Conclusions Concussion rates in this study were slightly higher than previously reported, with 5 of every 100 youth sustaining a football-related concussion each season. One-half of youth were still symptomatic 3 weeks after injury. Further research is needed to address the risk of concussion in youth football.
Background Currently, there is limited evidence to guide intervention and service delivery coordination for youth who suffer a concussion and subsequently experience persistent post-concussive symptoms (PCS) (Lumba-Brown et al. JAMA Pediatr 172(11):e182853, 2018; Lumba-Brown A et al. JAMA Pediatr 172(11):e182847, 2018). We have developed a collaborative care intervention with embedded cognitive-behavioral therapy, care management, and stepped-up psychotropic medication consultation to address persistent PCS and related psychological comorbidities. The CARE4PCS-II study was designed to assess whether adolescents with persistent symptoms after sports-related concussion will demonstrate better outcomes when receiving this collaborative care intervention compared to a usual care (control) condition. Methods/design This investigation is a randomized comparative effectiveness trial to receive intervention (collaborative care) or control (usual care). Two hundred sports-injured male and female adolescents aged 11–18 years with three or more post-concussive symptoms that persist for at least 1 month but less than 9 months after injury will be recruited and randomized into the study. The trial focuses on the effects of the intervention on post-concussive, depressive, and anxiety symptoms measured 3, 6, and 12 months after baseline. Discussion The CARE4PCS II study is a large comparative effectiveness trial targeting symptomatic improvements in sports injured adolescents after concussion. The study is unique in its adaptation of the collaborative care model to a broad spectrum of primary care, sports medicine, and school settings. The investigation incorporates novel elements such as the delivery of CBT through HIPAA complaint video conferenceing technology and has excellent widespread dissemination potential should effectiveness be demonstrated. Trial registration ClinicalTrials.gov, NCT03034720. Registered on January 27, 2017.
39 Background: In the context of many initiatives aimed at measuring quality and value in cancer care, the Hutchinson Institute for Cancer Outcomes Research (HICOR) has adopted a multi-stakeholder approach to characterize oncology care, prioritize areas for improvement, design programs, and evaluate outcomes. Beginning in 2014, HICOR initiated a process to move towards data transparency in the reporting of regional quality and value metrics. Methods: The HICOR team constructed clinic-level adherence reports for community-prioritized metrics and the 2012 ASCO Choosing Wisely recommendations using a registry-claims linked database. In the fall of 2014, a national external advisory board reviewed methodology for measuring adherence. De-identified regional results were presented at a provider meeting in late 2014 to elicit provider feedback on methodology and on strategies for reporting clinic-identified adherence. Clinics were privately given their own adherence data. In 2015, revised de-identified regional reports were presented at a Value in Cancer Care Summit poster session and made available through HICOR IQ, a regional oncology informatics platform, for further discussion. Results: Results show that no clinic was also the best or worst performing clinic. The table shows the performance by clinic for the 5 Choosing Wisely recommendations. There is now increased demand by clinics to view their own adherence benchmarked with the region as a next step in moving towards full data transparency. Additionally, there is support from provider members in the community to re-identify clinics in order to compare results against their peers. Conclusions: Using an iterative, transparent, multi-stakeholder process, it is feasible build regional consensus towards releasing clinic-level adherence to quality and value metrics. By consulting trusted experts in the field and allowing multiple opportunities to provide feedback, providers are requesting even more transparency in order use the oncology measures to improve care in their practice and the region. [Table: see text]
34 Background: In the context of many initiatives aimed at measuring quality and value in cancer care, the Hutchinson Institute for Cancer Outcomes Research (HICOR), partnered with community members to launch a regional, stakeholder-driven initiative to define and report value metrics for cancer care for Washington State. Region-wide Summits were held in 2014 and 2015. Participants included local healthcare delivery organizations, patient advocacy groups, payers, and policymakers. The 2014 Summit identified priority metrics; these metrics were reported at the 2015 Summit. Methods: For the 2015 Summit, HICOR staff developed algorithms to measure adherence to the community-prioritized metrics using a claims-registry linked database. Metrics spanned diagnosis, treatment, continuing, and end-of-life (EOL) phases of care. After reviewing adherence at the clinic-level and for the region, attendees were invited to attend break-out sessions for metrics where there was the largest variation: hospital and ED use during treatment, hospital and ED use at EOL, and breast cancer surveillance. Within the breakout sessions, participants were asked to identify barriers to adherence and possible interventions to improve care. After discussion, participants individually ranked the top 3 interventions and estimated expected improvement to be gained by successful implementation of the intervention Results: Table. Working groups were formed to develop detailed protocols for implementable interventions. Conclusions: Using an iterative, transparent, multi-stakeholder process, it is feasible build regional consensus to identify and prioritize value metrics in cancer care, and to develop consensus regarding approaches to improve adherence to those metrics. [Table: see text]
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