The Adolescent Patient Perspective on Activity Limitations Following Sport-Related Concussion.

CONTEXT: Assessment of sport-related concussion (SRC) has begun to include patient- reported outcome measures (PROMs). However, there is a limited understanding of which health limitations are most meaningful to adolescents following SRC. OBJECTIVE: To explore patient-perceived activity limitations following SRC and throughout recovery to return-to-play (RTP) and mapped according to the International Classification of Functioning, Disability, and Health (ICF) model. DESIGN: Longitudinal. SETTING: Secondary school athletic training facilities. PATIENTS OR OTHER PARTICIPANTS: Fifty patients (41 males, 5 females, 4 sex not reported, age=14.9±3.5 years, grade=10.2±0.93 level) with a medically diagnosed SRC. INTERVENTIONS: The Patient Specific Functional Scale (PSFS) was used to assess changes in the patient's condition and the impact the injury posed on their ability to perform activities. The PSFS is a self-reported assessment of health used to identify activity limitations and rate the difficulty of performing those tasks. The PSFS was administered to patients on days 3 (D3) and 10 (D10) following SRC and at RTP. MAIN OUTCOME MEASURES: Activities impacted by injury were coded into common categories and themes by a three-person research team for subsequent analysis. The coded themes were also mapped to the ICF domains, chapters, and categories. The dependent variables were the PSFS themes, number of activities endorsed, PSFS scores, ICF domains, chapters, and categories. Descriptive analyses and frequencies were reported for the dependent variables. RESULTS: A total of 157 different activities were identified at D3 and coded into 28 categories that fit into six themes: activities of daily living (ADLs), cognitive and school (COG), sports and physical activity (SPA), screen time (SCR), sleep (SLP) and social (SOC). On D3, all patients (50/50) identified at least one activity limitation. The majority related to SPA (37.6%) and COG (31.2%). Sixty percent of patients endorsed activity limitations at D10, primarily in COG (38.6%) and SPA (36.6%). All (100%) response categories were mapped to the ICF, with most (75%) fitting the activities and participation (AP) domain. CONCLUSION: Our primary findings suggest that sport-related concussion influences many facets of the lives of adolescent athletes. Specifically, adolescent athletes identified activity restrictions primarily related to physical activity and sports participation.

Athletic Trainers' Observations of Social Determinants of Health in the Collegiate Setting: A Card Study.

CONTEXT: Addressing social determinants of health (SDH) in all populations improves patient outcomes, leading to better patient-centered care. Despite known influences of SDH, little is known about the ability of athletic trainers (ATs) to observe SDH in practice. OBJECTIVE: To explore ATs' observations of SDH and describe actions taken at the point-of-care in college/university settings. DESIGN: Descriptive via an observational card study. SETTING: Athletic training facilities. PARTICIPANTS: ATs (23 participants across 20 institutions) employed in the college/university setting. DATA COLLECTION AND ANALYSIS: ATs used a modified observation card to document observations of SDH during patient encounters in the college/university setting. Cards contained instructions for completion and a table with 4 columns: (1) a list of 19 predetermined SDH, (2) checkbox for observed SDH, (3) checkbox for perceived negative influence of observed SDH on patient health, and (4) open box to write in what actions, if any, were taken to address the observed SDH. RESULTS: Overall, 424 cards were collected. Of 725 observed SDH, access to social media (153/725, 21.1%), academic stressors (131/725, 18.1%), and behavioral health issues (71/725, 9.8%) were the most commonly observed. Nearly 39% (281/725) had a perceived negative 16.4%), and transportation issues (32/281, 11.4%) were most common. For the 23.0% (166/725) of SDH acted on, ATs used counseling and education (73/166), provided additional resources (60/166), referred to others (29/166), or communicated with others (4/166). CONCLUSIONS: Because ATs are positioned to accurately assess SDH, they can promote better patient-centered care and improve patient outcomes. Our results suggested many SDH observed by ATs in the college/university setting had a negative influence on patient health. Better support for patients with behavioral health issues and academic stressors is important because these SDH were commonly perceived to negatively influence health and well-being.

High School Athletes' Health-Related Quality of Life Across Recovery After Sport-Related Concussion or Acute Ankle Injury: A Report From the Athletic Training Practice-Based Research Network.

BACKGROUND: Evaluating adolescent athletes' perceived health status after a sport-related injury can provide important direction for health promotion strategies and preparation for a successful return to play. Furthermore, comparing specific injury types regarding their impact on athletes' perspectives of their global and domain-specific health perceptions allows for a more detailed understanding of an athlete's experience while also providing avenues for targeted treatment strategies. PURPOSE: To compare health-related quality of life (HRQOL) between high school athletes who had sustained either a concussion or an acute ankle injury and compare how these injury types related to their global and domain-specific HRQOL across recovery. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Electronic medical records created by athletic trainers working in 32 high school facilities were examined, and records from 1749 patients who sustained either a sport-related concussion (n = 862) or ankle sprain (n = 887) were screened for inclusion. HRQOL was assessed by self-reported scores on the Pediatric Quality of Life Inventory (PedsQL) at 2 time points after injury (T1 = 0-2 days; T2 = 11-29 days). A 2-way group by time analysis of variance was conducted to examine differences in trajectories and disrupted areas of HRQOL. RESULTS: Overall, 85 patient cases (46 concussion, 39 ankle sprain) fit the inclusion criteria. Each injury group exhibited improved global and domain-specific PedsQL scores between their 2 measured time points (P < .05), indicating recovery. However, domain-specific comparisons revealed that at T2, patients who had sustained an ankle sprain reported significantly lower PedsQL physical functioning scores (78.3 ± 19.3 vs 86.2 ± 15.7 for concussion; P = .005), whereas patients who had sustained a concussion reported lower scores related to their school functioning (80.0 ± 20.0 vs 90.8 ± 12.7 for ankle sprain; P = .006). CONCLUSION: The study results indicated that in high school athletes, the trajectories and disrupted areas of HRQOL stemming from a sport-related injury may be influenced differentially when comparing concussions with ankle sprains.

Looking to Improve Your Practice? Consider the Science of Quality Improvement to Get Started.

Quality improvement in health care is the responsibility of everyone (eg, patients, families, health providers, and administrative staff) to work toward delivering high-quality patient care, advancing professional knowledge and skills, and creating effective and efficient processes of care. Those involved in athletic health care, similar to other health care professionals, should strive to create patient care experiences that are safe, timely, effective, efficient, equitable, and patient centered. Exploring the differences between quality improvement and research will help define the focus of improvement sciences on the health of systems, which is to identify quality gaps and evaluate processes of care, as opposed to filling knowledge gaps. Furthermore, considering the principles of quality improvement will set the foundation for quality initiatives in health care to focus on patients, value teams, emphasize systems and processes of care, appreciate variability, and require data. With a greater understanding of the principles of the quality improvement sciences, athletic trainers will be better positioned to create a culture of quality improvement and to take the initiative in leading improvement efforts so that local systems support the delivery of high-quality patient care.

Epidemiology of Secondary School Boys' and Girls' Basketball Injuries: National Athletic Treatment, Injury and Outcomes Network.

CONTEXT: Little is known about non-time-loss (NTL) injury patterns in basketball athletes. Knowledge of these patterns may aid in the development of prevention and management strategies for patients with these injuries. OBJECTIVE: To describe the epidemiology of time-loss (TL) and NTL injuries sustained by secondary school boys' and girls' basketball athletes. DESIGN: Descriptive epidemiology study. SETTING: Eighty-six unique schools provided data, with 84 and 83 contributing to boys' and girls' basketball, respectively. PATIENTS OR OTHER PARTICIPANTS: Athletes participating in secondary school-sponsored boys' and girls' basketball. MAIN OUTCOME MEASURE(S): Boys' and girls' basketball data from the National Athletic Treatment, Injury and Outcomes Network (NATION) injury-surveillance program (2011-2012 through 2013-2014 years) were analyzed. Injury counts, rates, and rate ratios (IRRs) were reported with 95% confidence intervals (CIs). RESULTS: The NATION captured 2653 injuries over 364 355 athlete-exposures (AEs) for boys' basketball and 2394 injuries over 288 286 AE for girls' basketball, producing rates of 7.28/1000 AEs (95% CI = 7.00, 7.56) for boys and 8.30/1000 AEs (95% CI = 7.97, 8.64) for girls. The overall injury rates were slightly lower for boys (IRR = 0.88; 95% CI = 0.83, 0.93). For boys, 559 (21.1%) injuries were TL and 2094 (78.9%) were NTL, producing a TL injury rate of 1.53/1000 AEs (95% CI = 1.40, 1.66) and an NTL injury rate of 5.75/1000 AEs (95% CI = 5.50, 5.99). For girls, 499 (20.8%) injuries were TL and 1895 (79.2%) were NTL, producing a TL injury rate of 1.73/1000 AEs (95% CI = 1.58, 1.88) and an NTL injury rate of 6.57/1000 AEs (95% CI = 6.28, 6.87). Rates of TL injuries were similar between boys' and girls' basketball (IRR = 0.89; 95% CI = 0.79, 1.00); NTL injury rates were lower for boys (IRR = 0.87; 95% CI = 0.82, 0.93). CONCLUSIONS: When NTL injuries were included, the rates of injury in boys' and girls' secondary school basketball were higher than previously reported.

Sport Specialization and Fitness and Functional Task Performance Among Youth Competitive Gymnasts.

CONTEXT: Gymnastics trains fundamental movement skills but has high rates of early sport specialization. Early specialization is associated with increased injury risk. Gymnasts devote time to developing technical skill, but whether specialization status influences performance is unknown. OBJECTIVE: To describe the participation and specialization characteristics of youth club gymnastics participants and determine whether the level of specialization is associated with fitness and functional task performance. DESIGN: Retrospective cross-sectional study. SETTING: A single gymnastics facility. PATIENTS OR OTHER PARTICIPANTS: Data on youth gymnasts (n = 131; 84 females, 47 males; age = 10.9 ± 2.9 years, height = 142.14 ± 16.23 cm, mass = 38.15 ± 12.93 kg) were reviewed. MAIN OUTCOME MEASURE(S): Specialization was assessed using a 3-tiered classification. Fitness measurements consisted of the Gymnastics Functional Measurement Tool, Men's Gymnastics Functional Measurement Tool, and core strength. Functional tasks evaluated hop performance, dynamic balance, and jump-landing technique. Separate analyses of covariance, covaried by age, hours of training, and years of gymnastics participation, were used to identify differences in fitness and functional performance among specialization groups. Pearson product correlations were calculated to evaluate the relationships between training hours per week and years in gymnastics with fitness and functional performance. RESULTS: Most gymnasts were classified as moderately (50.4%, n = 66) or highly (35.1%, n = 46) specialized. Only 14.5% (n = 19) were classified as having a low level of specialization. Weak to moderate correlations were present between years in gymnastics and most fitness tasks. Moderate to strong correlations were noted between training hours per week and most fitness tasks. Low-specialization gymnasts scored lower on right lower extremity Y-balance (P = .004), upper left extremity Y-balance (P = .033), and right hop performance (P = .039) tests. CONCLUSIONS: Gymnasts reported high proportions of moderate to high specialization, and many exceeded guidelines for hours participating in gymnastics per week. We did not observe clinically meaningful group differences among specialization status and fitness or functional movement tasks, indicating no clear benefit of gymnastics training to the exclusion of other sports for increased performance.

Implementation Science: Lessons Learned From Evaluating Practice Recommendations for the Care of Patients With Spine Injuries.

Health care providers are encouraged to provide care according to practice recommendations because these suggestions should improve patient care and promote optimal patient outcomes. The goals of these practice recommendations are to improve patient care and promote optimal patient outcomes. However, without integration into clinical practice, the value of practice recommendations in supporting patient care is lost. Unfortunately, little is known about the success of integrating practice recommendations into clinical practice, and targeted efforts to promote integration are likely needed. Implementation research is a broad area of study that focuses on how guidelines, programs, or interventions are put into practice and delivered. The Translating Research Into Injury Prevention Practice (TRIPP) framework consists of 6 stages that support implementation science, and the framework has been used to assist in integrating injury-prevention programs into patient care. The structure of the TRIPP framework makes it applicable to other programs that would benefit from implementation science, including practice recommendations. Stages 5 and 6 of the TRIPP framework emphasize the need to explore the implementation context and factors related to uptake of a program by end users. This commentary highlights our efforts to use methods for implementation research to evaluate stage 5 of the TRIPP framework as it relates to acute care for patients with suspected spine injuries and provides 6 lessons learned that may assist in future efforts to better implement practice recommendations in patient care. Targeted efforts to assist clinicians in implementing practice recommendations may promote their use and ultimately enhance the care provided for patients with a variety of health conditions. An essential component of any implementation effort is understanding end users via stages 5 and 6 of the TRIPP framework, and this understanding may maximize knowledge translation and encourage practice change and advancement.

Use of Patient-Reported Outcome Measures in Athletic Training: Common Measures, Selection Considerations, and Practical Barriers.

CONTEXT: Current evidence suggests that a low percentage of athletic trainers (ATs) routinely use patient-reported outcome measures (PROMs). An understanding of the perceptions of ATs who use (AT-USE) and who do not use (AT-NON) PROMs as well as any differences due to demographic characteristics (eg, use for patient care or research, job setting, highest education level) may help facilitate the use of PROMs in athletic training. OBJECTIVE: To describe commonly used PROMs by AT-USE, the criteria by which AT-USE select PROMs, and reasons for non-use by AT-NON. DESIGN: Cross-sectional study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: A convenience sample of 1784 ATs (response rate = 10.7% [1784/17972]; completion rate = 92.2% [1784/1935]) who worked in a variety of settings. MAIN OUTCOME MEASURE(S): Participants completed an anonymous electronic online survey. Descriptive statistics were used to describe commonly used PROMs, PROM selection criteria, and reasons for PROM non-use. RESULTS: Participants were classified as AT-USE (n = 370, 20.7%) or AT-NON (n = 1414, 79.3%). For the AT-USE group, the most common type of PROMs used were specific (eg, region, joint; n = 328, 88.6%), followed by single-item (n = 258, 69.7%) and generic (n = 232, 62.7%). Overall, the PROMs most frequently endorsed by the AT-USE group were the Numeric Pain Rating Scale (n = 128, 34.6%); Lower Extremity Functional Scale (n = 108, 29.2%); Disability of the Arm, Shoulder and Hand (n = 96, 25.9%); Owestry Disability Index (n = 80, 21.6%); and Foot and Ankle Ability Measure (n = 78, 21.1%). The most important criteria reported by AT-USE for selecting PROMs were that the measure was valid and reliable, easy for patients to understand, and easy for clinicians to understand and interpret. Common reasons for non-use were that PROMs were too time consuming for the clinician, too time consuming for the patient, and more effort than they were worth. CONCLUSIONS: The Numeric Pain Rating Scale; Lower Extremity Functional Scale; Disability of the Arm, Shoulder and Hand; Owestry Disability Index; and Foot and Ankle Ability Measure were the PROMs most commonly endorsed by AT-USE and should be considered for athletic training use. To further facilitate the use of PROMs in athletic training, future authors should identify strategies to address organizational and time-constraint obstacles. Interpretation of our study findings may require caution due to a relatively low response rate and because "routine use" was not operationalized.

The Prioritized Research Agenda for the Athletic Training Profession: A Report From the Strategic Alliance Research Agenda Task Force.

CONTEXT: Athletic trainers (ATs) must be equipped with evidence to inform their clinical practice. A systematic, inclusive, and continuous process for exploring research priorities is vital to the success of ATs and, more importantly, their patients' positive outcomes. OBJECTIVE: To identify research priorities and unify research with clinical practice to improve patient care and advance the profession. DESIGN: Mixed-methods study. SETTING: Focus groups and a Web-based survey. PATIENTS OR OTHER PARTICIPANTS: A total of 87 ATs (43 men [49.4%], 44 women [50.6%]; age = 40 ± 11 years; experience = 18 ± 11 years) participated in focus groups. Of the 49 332 e-mails sent, 580 were undeliverable, 5131 ATs started the survey (access rate = 10.5%), and 4514 agreed to participate (response rate = 9.3%). MAIN OUTCOME MEASURE(S): Our study consisted of 6 focus-group sessions, a content-expert review, and a Web-based survey. Themes from the focus groups were used to develop the research priorities and survey instrument. We used the 25-item validated survey to determine whether the research priorities and findings of the focus groups were generalizable. Endorsement of research priorities and recommendations was achieved when respondents indicated they agreed or strongly agreed. RESULTS: Respondents endorsed 5 research priorities: health care competency (n = 4438/4493, 98.8%), vitality of the profession (n = 4319/4455, 96.9%), health professions education (n = 3966/4419, 89.8%), health care economics (n = 4246/4425, 96.0%), and health information technology (n = 3893/4438, 87.7%). We also made the following recommendations: (1) develop funding initiatives that align with the agenda, (2) develop postdoctoral fellowships focused on clinical research, (3) facilitate collaborative relationships between clinicians and researchers, and (4) make research evidence more readily available and more applicable. CONCLUSIONS: Using a systematic and inclusive process, we developed a prioritized research agenda for the athletic training profession. The agenda was endorsed by the leaders of each Strategic Alliance organization and adopted as the Athletic Training Research Agenda.

Changes in Patient-Reported Outcome Measures From the Time of Injury to Return to Play in Adolescent Athletes at Secondary Schools With an Athletic Trainer.

CONTEXT: Typically, athletic trainers rely on clinician-centered measures to evaluate athletes' return-to-play status. However, clinician-centered measures do not provide information regarding patients' perceptions. OBJECTIVE: To determine whether clinically important changes in patient-reported outcomes were observed from the time of lower extremity injury to the time of return to play in adolescent athletes. DESIGN: Cross-sectional study. SETTING: The National Athletic Treatment, Injury and Outcomes Network (NATION) program has captured injury and treatment data in 31 sports from 147 secondary schools across 26 states. A subsample of 24 schools participated in the outcomes study arm during the 2012-2013 and 2013-2014 academic years. PATIENTS OR OTHER PARTICIPANTS: To be included in this report, student-athletes must have sustained a knee, lower leg, ankle, or foot injury that restricted participation from sport for at least 3 days. A total of 76 initial assessments were started by athletes; for 69 of those, return-to-play surveys were completed and analyzed. MAIN OUTCOME MEASURE(S): All student-athletes completed generic patient-reported outcome measures (Patient-Reported Outcomes Measurement Information System [PROMIS] survey, Global Rating of Change scale, and Numeric Pain Rating Scale) and, depending on body region, completed an additional region-specific measure (Knee Injury and Osteoarthritis Outcome Score or Foot and Ankle Ability Measure). All applicable surveys were completed at both the initial and return-to-play time points. Means and standard deviations for the total scores of each patient-reported outcome measure at each time point were calculated. Change scores that reflected the difference from the initial to the return-to-play time points were calculated for each participant and compared with established benchmarks for change. RESULTS: The greatest improvement in patient-reported outcomes was in the region-specific forms, with scores ranging from 9.92 to 37.73 on the different region-specific subscales (Knee Injury and Osteoarthritis Outcome Score or Foot and Ankle Ability Measure; scores range from 0-100). The region-specific subscales on average still showed a 21.8- to 37.5-point deficit in reported health at return to play. The PROMIS Lower Extremity score increased on average by 13 points; all other PROMIS scales were within normative values after injury. CONCLUSIONS: Adolescent athletes who were injured at a high school with an athletic trainer may have shown improvement in patient-reported outcomes over time, but when they returned to play, their outcome scores remained lower than norms from comparable athlete groups.

Quality Improvement in Athletic Health Care.

CONTEXT: Quality improvement (QI) is a health care concept that ensures patients receive high-quality (safe, timely, effective, efficient, equitable, patient-centered) and affordable care. Despite its importance, the application of QI in athletic health care has been limited. OBJECTIVES: To describe the need for and define QI in health care, to describe how to measure quality in health care, and to present a QI case in athletic training. DESCRIPTION: As the athletic training profession continues to grow, a widespread engagement in QI efforts is necessary to establish the value of athletic training services for the patients that we serve. A review of the importance of QI in health care, historical perspectives of QI, tools to drive QI efforts, and examples of common QI initiatives is presented to assist clinicians in better understanding the value of QI for advancing athletic health care and the profession. Clinical and Research Advantages: By engaging clinicians in strategies to measure outcomes and improve their patient care services, QI practice can help athletic trainers provide high-quality and affordable care to patients.

Previous Knee Injury and Health-Related Quality of Life in Collegiate Athletes.

CONTEXT: Patient-rated outcome measures (PROMs) capture changes that are important and meaningful to patients, such as health-related quality of life (HRQOL). Although group differences in HRQOL have been reported, little is known about the effect of injury history on HRQOL in collegiate athletes. OBJECTIVE: To determine whether knee-specific function (International Knee Documentation Committee Subjective Knee Evaluation Form [IKDC]) and HRQOL (Short Form 12 [SF-12]) differs in collegiate athletes based on sex and the severity of a previous knee injury. DESIGN: Cross-sectional study. SETTING: Athletic training facilities. PATIENTS OR OTHER PARTICIPANTS: Healthy collegiate athletes (n = 263) were grouped based on self-report of a previous knee injury: severe (n = 47), mild (n = 40), and no (n = 176) knee injury. INTERVENTION(S): Participants completed the IKDC and SF-12 during their preparticipation examinations. MAIN OUTCOME MEASURE(S): Generalized linear models were used to assess interactions and main effects of all scores. RESULTS: An interaction effect was observed for the SF-12 role physical subscale (P = .02), with men in the mild- and severe-injury groups reporting worse scores than men with no injury history. We noted a main effect for injury group for the IKDC total score (P < .001) and SF-12 physical functioning (P = .04) and role emotional (P = .04) subscales, with the severe-injury group reporting worse scores than the mild- and no-injury groups. No main effects of sex were reported (P > .05). CONCLUSIONS: Despite returning to full participation, collegiate athletes who previously sustained severe knee injuries tended to report worse knee-specific function and less ability to complete activities due to physical health. In addition, individuals with a history of severe knee injury tended to report more emotional concerns than athletes with a history of mild or no knee injury. Region-specific PROMs may be more sensitive in detecting deficits than generic PROMs after return to full participation. Researchers should investigate the role of PROMs, particularly region-specific PROMs, as potential screening tools for clinical care.

Athletic Training Services During Daily Patient Encounters: A Report From the Athletic Training Practice-Based Research Network.

CONTEXT: Athletic training services such as taping, wrapping, and stretching are common during routine care but rarely captured in traditional patient documentation. These clinical data are vital when determining appropriate medical coverage and demonstrating the value and worth of athletic trainers (ATs). OBJECTIVE: To analyze clinical data from daily encounter forms within the Athletic Training Practice-Based Research Network (AT-PBRN). DESIGN: Descriptive study. SETTING: Secondary school athletic training clinics. PATIENTS OR OTHER PARTICIPANTS: Adolescent patients (n = 4888; age = 16.3 ± 1.4 years) seeking care from ATs. MAIN OUTCOME MEASURE(S): We used Web-based electronic medical records from December 1, 2009, to July 1, 2015, to obtain patient characteristics via deidentified data. Descriptive data regarding practice characteristics from patient encounter forms were analyzed and reported as percentages and frequencies. RESULTS: A total of 36 245 patient encounters (mean = 7.5 ± 11.6 encounters per patient) were recorded. Football, basketball, soccer, track, and volleyball accounted for 85.1% of all encounters. Most encounters were for preventive services (48.8%, n = 22 329), followed by care for a current injury (37.2%, n = 17 027) and care for a new injury (13.9%, n = 6368). Of the preventive encounters, taping (52.7%) was the most common service provided, followed by ice- or hot-pack application (25.4%) and treatment (9.6%). Taping (28.7%) was also the most common service for current injuries, followed by treatment (26.7%) and ice- or hot-pack application (26.2%). CONCLUSIONS: Our findings highlight the unique role of ATs as health care providers who provide substantial preventive services to their patients. Further, these results represent one of the first attempts to describe athletic training services related to nontime-loss injuries, emphasizing the significant role that ATs play in the health care of secondary school athletes. These findings should help clinicians and administrators make more informed decisions regarding appropriate medical coverage.

Benefits of and barriers to using patient-rated outcome measures in athletic training.

CONTEXT: Patient-rated outcome measures (PROMs) are important for driving treatment decisions and determining treatment effectiveness. However, athletic trainers (ATs) rarely use them; understanding why may facilitate strategies for collection of these outcomes. OBJECTIVE: To identify the benefits of and barriers to using PROMs in athletic training. DESIGN: Cross-sectional study. SETTING: Web-based survey. PATIENTS OR OTHER PARTICIPANTS: A total of 1469 randomly sampled ATs (age = 36.8 ± 9.8 years; 48% female) working in the college/university, 2-year institution, secondary school, clinic, hospital, or industrial/occupational setting. INTERVENTION(S): An e-mail was sent to ATs inviting them to complete a survey regarding the use, benefits, and barriers of PROMs. Athletic trainers who indicated they used PROMs (AT-PRs) completed 65 questions about the benefits of and barriers to their use. Athletic trainers who indicated no use of PROMs (AT-NONs) completed 21 questions about barriers of use. MAIN OUTCOME MEASURE(S): Dependent variables were the endorsements for the benefits of and barriers to the use of PROMs. RESULTS: A total of 458 ATs initiated the survey and 421 (AT-PR = 26%, AT-NON = 74%) completed it (response rate = 28.7%). The most frequently endorsed benefits by AT-PRs were enhancing communication with patients (90%) and other health care professionals (80%), directing patient care (87%), and increasing examination efficiency (80%). The most frequently endorsed barriers by AT-PRs were that PROMs are time consuming (44%), difficult (36%), and confusing (31%) for patients and time consuming for clinicians to score and interpret (29%). The most frequently endorsed problems by AT-NONs were that PROMs are time consuming for clinicians to score and interpret (31%), time consuming (46%) and irrelevant to patients (28%), and lacking a support structure for clinicians (29%). CONCLUSIONS: These results suggest that, although benefits to using PROMs exist, there are also barriers. Barriers are similar for AT-PRs and AT-NONs. Strategies to decrease barriers and facilitate the use of PROMs warrant investigation.

Scapular muscle-activation ratios in patients with shoulder injuries during functional shoulder exercises.

CONTEXT: Alterations in scapular muscle activation, which are common with glenohumeral (GH) injuries, affect stability and function. Rehabilitation aims to reestablish activation between muscles for stability by progressing to whole-body movements. OBJECTIVE: To determine scapular muscle-activation ratios and individual muscle activity (upper trapezius [UT], middle trapezius [MT], lower trapezius [LT], serratus anterior [SA]) differences between participants with GH injuries and healthy control participants during functional rehabilitation exercises. DESIGN: Cross-sectional study. SETTING: Laboratory. PATIENTS OR OTHER PARTICIPANTS: Thirty-nine participants who had GH injuries (n = 20; age = 23.6 ± 3.2 years, height = 170.7 ± 11.5 cm, mass = 74.7 ± 13.1 kg) or were healthy (n = 19; age = 24.4 ± 3.3 years, height = 173.6 ± 8.6 cm, mass = 74.7 ± 14.8 kg) were tested. INTERVENTION(S): Clinical examination confirmed each participant's classification as GH injury or healthy control. Participants performed 4 exercises (bow and arrow, external rotation with scapular squeeze, lawnmower, robbery) over 3 seconds with no load while muscle activity was recorded. MAIN OUTCOME MEASURE(S): We used surface electromyography to measure UT, MT, LT, and SA muscle activity. Scapular muscle-activation ratios (UT:MT, UT:LT, and UT:SA) were calculated (normalized mean electromyography of the UT divided by normalized mean electromyography of the MT, LT, and SA). Exercise × group analyses of variance with repeated measures were conducted. RESULTS: No group differences for activation ratios or individual muscle activation amplitude were found (P > .05). Similar UT:MT and UT:LT activation ratios during bow-and-arrow and robbery exercises were seen (P > .05); both had greater activation than external-rotation-with-scapular-squeeze and lawnmower exercises (P < .05). The bow-and-arrow exercise elicited the highest activation from the UT, MT, and LT muscles; SA activation was greatest during the external-rotation-with-scapular-squeeze exercise. CONCLUSIONS: Scapular muscle activation was similar between participants with GH injuries and healthy control participants when performing the unloaded multiplanar, multijoint exercises tested. High activation ratios during the bow-and-arrow exercise indicate UT hyperactivity or decreased MT, LT, and SA activity. Our GH injury group may be comparable to high-functioning injured athletes. Study results may assist clinicians in selecting appropriate exercises for scapular muscle activation when caring for injured athletes.

The national sports safety in secondary schools benchmark (N4SB) study: defining athletic training practice characteristics.

CONTEXT: Increased rates of sport participation and sport-related injury have led to greater emphasis on and attention to medical care of student-athletes in the secondary school setting. Access to athletic training services is seen as a critical factor for delivering adequate injury prevention and medical care to student-athletes. However, few data are available regarding practice characteristics of athletic trainers (ATs) in this setting. OBJECTIVE: To characterize the practices of secondary school athletic trainers (ATs). DESIGN: Descriptive study. SETTING: Web-based survey. PATIENTS OR OTHER PARTICIPANTS: A total of 17 558 ATs with current National Athletic Trainers' Association membership were identified for survey distribution. Of these, 4232 ATs indicated that they practiced in the secondary school setting, and 4045 completed some part of the survey. MAIN OUTCOME MEASURE(S): A Web-based survey was used to obtain demographic information about ATs and their secondary schools and characteristics of athletic training practice. Descriptive data regarding the athletic trainer's personal characteristics, secondary school characteristics, and practice patterns are reported as percentages and frequencies. RESULTS: Most respondents were in the early stages of their careers and relatively new to the secondary school practice setting. Nearly two-thirds (62.4%; n = 2522) of respondents had 10 or fewer years of experience as secondary school ATs, 52% (n = 2132) had been certified for 10 or fewer years, and 53.4% (n = 2164) had 10 or fewer years of experience in any practice setting. The majority of respondents (85%) worked in public schools with enrollment of 1000 to 1999 (35.5%) and with football (95.5%). More than half of respondents were employed directly by their school. Most respondents (50.6%) reported an athletic training budget of less than $4000. The majority of ATs performed evaluations (87.5%) on-site all of the time, with a smaller percentage providing treatments (73.3%) or rehabilitation (47.4%) services all of the time. CONCLUSIONS: This is the first study to describe secondary school athletic training that reflects national practice trends. To improve the quality of athletic training care and to support and improve current working conditions, the profession must examine how its members practice on a day-to-day basis.

A unique patient population? Health-related quality of life in adolescent athletes versus general, healthy adolescent individuals.

CONTEXT: Normative scores for patient-rated outcome (PRO) instruments are important for providing patient-centered, whole-person care and making informed clinical decisions. Although normative values for the Pediatric Quality of Life Generic Core Scale (PedsQL) have been established in the general, healthy adolescent population, whether adolescent athletes demonstrate similar values is unclear. OBJECTIVE: To compare PedsQL scores between adolescent athletes and general, healthy adolescent individuals. DESIGN: Cross-sectional study. SETTING: Secondary schools. PATIENTS OR OTHER PARTICIPANTS: A convenience sample of 2659 interscholastic athletes (males = 2059, females = 600, age = 15.7 ± 1.1 years) represented the athlete group (ATH), and a previously published normative dataset represented the general, healthy adolescent group (GEN). INTERVENTION(S): All participants completed the PedsQL during 1 testing session. MAIN OUTCOME MEASURE(S): The PedsQL consists of 2 summary scores (total, psychosocial) and 4 subscale scores (physical, emotional, social, school), with higher scores indicating better health-related quality of life (HRQOL). Groups were stratified by age (14, 15, or 16 years old). Independent-samples t tests were conducted to compare between-groups and sex differences. RESULTS: The ATH group scored higher than the GEN group across all ages for total and psychosocial summary scores and for emotional and social functioning subscale scores (P ≤ .005). For physical functioning, scores of the 15-year-old ATH were higher than for their GEN counterparts (P = .001). Both 14- and 15-year-old ATH scored higher than their GEN counterparts for the school functioning subscale (P ≤ .013), but differences between 16-year olds were not significant (P = .228). Male adolescent athletes reported higher scores than female adolescent athletes across all scores (P ≤ .001) except for social functioning (P = .229). CONCLUSIONS: Adolescent athletes reported better HRQOL than GEN, particularly in emotional functioning. These findings further support the notion that ATH constitutes a unique population that requires its own set of normative values for self-reported, patient-rated outcome instruments.