Sports Medicine Staffing Patterns and Incidence of Injury in Collegiate Men's Ice Hockey

Concussion diagnosis and recovery in relation to collegiate athletic department classification: a LIMBIC MATARS consortium investigation

PURPOSE

We investigated time to reach concussion diagnosis and recovery milestones in collegiate athletes relative to their schools' National Collegiate Athletic Association (NCAA) classification.

METHODS

We retrospectively examined 849 (43.1% female) concussion cases from 11 NCAA institutions (Division I Power 5 [n = 4], Division I Non-Power 5 [n = 4], and Division II/III [n = 3]) from the 2015-16 to 2019-20 athletic seasons. Our primary outcome measures were days to reach specific clinical milestones following concussion.

RESULTS

Median (IQR) time from injury to diagnosis was significantly longer at Division II/III institutions (1 [0-4] days) compared to Division I Power 5 (0 [0-1] days) and Division I Non-Power 5 (0 [0-1] days) institutions (p < 0.001). Likewise, Division II/III athletes (15 [11-22] days) took significantly longer to return to sport after concussion than Division I Power 5 (10 [7-16] days) and Division I Non-Power 5 (11 [7-18.5] days) athletes (p < 0.001).

CONCLUSION

Division II/III athletes had delayed concussion diagnoses and return to sport timelines compared to Division I athletes. Our results suggest that differences in sports medicine resources across NCAA divisions may influence injury recognition and recovery in collegiate athletes with concussion.

Access to athletic trainers and sex as modifiers of time to reach clinical milestones after sport-related concussion in collegiate athletes

OBJECTIVE

Investigate whether an athlete's biological sex and exposure to a dedicated athletic trainer (AT) were related to clinical milestones after a sports-related concussion (SRC).

DESIGN

Retrospective chart review.

METHODS

Medical charts of collegiate athletes (n = 196 [70.9% female]) diagnosed with SRC were reviewed to extract: biological sex, dedicated AT exposure for their sport (yes/no), and time (days) to reaching clinical milestones (diagnosis, symptom resolution, unrestricted return to sport [RTS]). Mann-Whitney U tests were used to determine whether time to clinical milestones differed by sex, AT exposure, or their interaction. Proportions of same-day diagnoses and times to diagnosis, symptom resolution, and unrestricted RTS were evaluated with chi-squared and spearman's rank correlations, respectively.

RESULTS

There were no significant differences in times to reaching any clinical milestone by sex, AT exposure, or their interaction (ps > 0.05). Forty-three percent of participants were diagnosed on the day of their SRC. This did not differ by sex or AT exposure (ps > 0.29). Longer times to SRC diagnosis were associated with more days to symptom resolution (ρ = 0.236, p = 0.001) and unrestricted RTS (ρ = 0.223, p < 0.001).

CONCLUSIONS

Athlete sex and AT exposure were not associated with times to reach any clinical milestone; however, delayed diagnosis was associated with longer times to reach clinical recovery.

Factors associated with concussion management behavior in Ladies Gaelic Football players

BACKGROUND

Sport-related concussion (SRC) management may be poor in community sports such as Ladies Gaelic Football (LGF). This study examined factors associated with SRC management behavior in adult LGF players.

METHODS

Participants (n = 657) answered an online survey on demographic factors, concussion knowledge, attitudes, and education, and SRC management behavior. Data from participants who reported sustaining an LGF-related SRC during the previous year (n = 115) were further analyzed.

RESULTS

Being diagnosed with SRC was the main factor influencing subacute management behavior. Players with diagnosed SRCs had increased odds of following a graded return-to-play (RTP) programme (OR = 4.89), following a medically supervised graded RTP programme (OR = 10.16), and being medically cleared before full RTP (OR = 13.45) compared with those with suspected SRCs. Concussion history was associated with increased odds of informing a coach of a possible SRC (OR = 2.86). Demographic factors, previous use of Ladies Gaelic Football Association concussion education resources, and concussion knowledge and attitudes had minimal or no influence on management behaviors.

CONCLUSION

Greater access to medical personnel at LGF training and matches is recommended. Due to limited medical resources in community sport, a clear referral pathway for players with SRC and comprehensive SRC education should be introduced to ensure players receive adequate medical care.

Optimizing Concussion Care Seeking: Identification of Factors Predicting Previous Concussion Diagnosis Status

PURPOSE

There is limited understanding of factors affecting concussion diagnosis status using large sample sizes. The study objective was to identify factors that can accurately classify previous concussion diagnosis status among collegiate student-athletes and service academy cadets with concussion history.

METHODS

This retrospective study used support vector machine, Gaussian Naïve Bayes, and decision tree machine learning techniques to identify individual (e.g., sex) and institutional (e.g., academic caliber) factors that accurately classify previous concussion diagnosis status (all diagnosed vs 1+ undiagnosed) among Concussion Assessment, Research, and Education Consortium participants with concussion histories ( n = 7714).

RESULTS

Across all classifiers, the factors examined enable >50% classification between previous diagnosed and undiagnosed concussion histories. However, across 20-fold cross validation, ROC-AUC accuracy averaged between 56% and 65% using all factors. Similar performance is achieved considering individual risk factors alone. By contrast, classifications with institutional risk factors typically did not distinguish between those with all concussions diagnosed versus 1+ undiagnosed; average performances using only institutional risk factors were almost always <58%, including confidence intervals for many groups <50%. Participants with more extensive concussion histories were more commonly classified as having one or more of those previous concussions undiagnosed.

CONCLUSIONS

Although the current study provides preliminary evidence about factors to help classify concussion diagnosis status, more work is needed given the tested models' accuracy. Future work should include a broader set of theoretically indicated factors, at levels ranging from individual behavioral determinants to features of the setting in which the individual was injured.

Socioeconomic status and injury history in adolescent athletes: Lower family affluence is associated with a history of concussion

Background

While healthcare and health outcome disparities have been studied across a variety of different injuries, their relation to concussion incidence and management are relatively understudied.

Aim

The aim of this study was to evaluate the association between history of concussion or musculoskeletal injury, and family affluence and/or school-level measures of socioeconomic status.

Methods

We conducted a cross-sectional study of adolescent athletes in a local school district. Adolescent athletes (n = 192; mean age = 15.3, SD = 1.6 years; 49% female), who presented for a pre-participation physical evaluation reported concussion and injury history, and family affluence scale (FAS) scores. We also examined the percent of students on free/reduced lunch at each school compared to state averages. Independent variables, individual FAS score and school-based marker of socioeconomic status, were compared between those with and without a history of concussion and time-loss musculoskeletal injury.

Results

Of the participants, 40 (21%) reported a history of concussion. Athletes with a concussion history had significantly lower FAS scores than athletes without a history of concussion (mean difference = 0.7, 95%CI = 0.1, 1.4; P = 0.027). There was no significant difference in FAS scores between those with and without a history of time-loss musculoskeletal injury (mean difference = 0.0, 95% CI = -0.5, 0.5; P = 0.97). Athletes with a history of concussion had a higher proportion of a prior time-loss musculoskeletal injury (68% vs. 32%; P < 0.001). After adjusting for age, school free-reduced lunch rate, and history of musculoskeletal injury, a lower FAS score was associated with concussion history (adjusted odds ratio = 0.79; 95% CI = 0.64, 0.96; P = 0.019). Concussion and musculoskeletal injury were not associated with school-level markers of socioeconomic status.

Conclusion

Lower individual measures, but not school-level measures, of socioeconomic status were associated with a history of concussion in our sample of adolescent athletes.

Relevance for Patients

Enhance providers' understanding of how socioeconomic factors may impact concussion history and empower providers to adequately screen for and provide concussion education to mitigate disparities.

Medical Diagnoses in a University Athlete Training Room Clinic

INTRODUCTION

Approximately 560 000 student-athletes participate in university athletic programs every year. These athletes develop a variety of medical injuries and illnesses during their time at the university. There is currently a paucity of data with regarding medical encounters in a dedicated university athlete training room clinic.

OBJECTIVE

This study aims to provide data regarding medical diagnoses from a university athlete training room clinic.

STUDY DESIGN

Descriptive epidemiology study.

SETTING

University athlete training room clinic.

PATIENTS

University athletes.

METHODS

The electronic medical record for a year-round, athlete-only training room clinic at a private US university was reviewed. Athlete age, sex, sport, date of medical encounter, and encounter diagnoses across 5 calendar years were recorded; medical diagnoses were then manually stratified into diagnostic categories and subgroups.

RESULTS

A total of 1258 university athletes were evaluated during 5303 medical encounters. Approximately two-thirds of athletes were evaluated one or more times per year. Average number of encounters per athlete per year was 2.2 (0.6-3.8, 95% confidence interval). The football team accounted for the greatest number of encounters (15.2% of total encounters). The most common medical diagnosis category was otorhinolaryngology (30.6% of total diagnoses). The most common diagnosis subgroup was upper respiratory infection (14.8% of total diagnoses).

CONCLUSIONS

Approximately two-thirds of athletes were evaluated annually with an average of 2 encounters per athlete per year. Upper respiratory infection represented the most common individual diagnosis. The results reported in this study may be useful in directing future care and research of university athletes.

Despite maintaining a high daily training availability, a quarter of athletes start the season injured and three quarters experience injury in an Australian State Academy of Sport

OBJECTIVES

To 1) investigate the incidence, prevalence, burden and characteristics of injuries; and 2) explore the frequency of physiotherapy and medical servicing for elite sports academy athletes over a 12-month season.

DESIGN

Prospective cohort study.

METHODS

Medical attention and time-loss injuries were prospectively recorded by Physiotherapy and Medical (Sports Physician) staff for 94 athletes (72.3% females). The number of linked physiotherapy and medical servicing appointments was also recorded. Injury incidence rates (IIR), point and period prevalence, and injury burden were calculated and compared by athlete gender, sport, and categorisation (performance level) using incidence rate ratios (IRR).

RESULTS

The number of injuries reported was 193 in 71 (75.5%) athletes. The IIR was 2.1 (95%CI: 1.8 to 2.4) injuries per 365 days, with no gender difference observed (IRR: 1.1, 0.8 to 1.4). The injury burden was 43.5 (95%CI: 37.8 to 50.1) days absent per 365 days. More than one-quarter (point prevalence, 26.6%) of athletes commenced the season with an injury. In-season injury risk was 2.5 fold greater in athletes who started the season with an injury compared to athletes who started the season without an injury (IRR: 2.5, 1.9 to 3.4). The majority (81.2%) of the 1164 appointments recorded were physiotherapy, with an overall 4.3:1.0 physiotherapy to medical appointment ratio.

CONCLUSIONS

One in four athletes began the elite pathway season with a pre-existing injury, while also demonstrating a 2.5 fold greater risk of subsequent injury in the scholarship period. Sports should not assume their athletes are uninjured at the beginning of their scholarship. Injury profiles, and physiotherapy and medical servicing varied across sports. To reduce health as a barrier in the successful transition of talented young athletes to elite athletes, injury management strategies at the commencement of recruitment and throughout the scholarship should be prioritised in the development pathway.

An Examination of Perceived Pressure From Stakeholders on Concussion Reporting Intentions and Behavior in Ice Hockey Athletes

OBJECTIVE

We aimed to assess whether perceived pressure predicts concussion reporting intentions and behavior in youth, high school, and collegiate ice hockey athletes, and, secondarily, whether perceived pressure from stakeholders differed between sex or level of play.

SETTING

Online survey.

PARTICIPANTS

One hundred fifty-two ice hockey athletes (males: n = 96, 63.2%; females: n = 55, 36.2%; missing: n = 1, 0.7%; age = 14.04 ± 3.6 years).

DESIGN

Cross-sectional.

MAIN MEASURES

Respondents answered a survey that elicited information about demography, perceived pressure from 6 stakeholders, and concussion reporting intentions and behavior. For the first aim, we used a generalized linear model to determine whether perceived pressure from any stakeholder predicted intention (symptom reporting, concussion reporting, and intention beliefs) or behavior ("all concussions," "not obvious concussions"; α < .05) while controlling for level of play. To determine whether pressure from any stakeholder predicted symptom reporting behavior, we used logistic regression while controlling for level of play. For the second aim, to examine sex differences in perceived pressure from each stakeholder, we employed Mann-Whitney tests and to examine level of play differences, we used Kruskal-Wallis tests.

RESULTS

Controlling for level of play, a 1-point increase in perceived pressure from parents and athletic administrators decreased concussion reporting intentions by 0.92 (P = .004) and 1.09 (P = .005) points, respectively. Perceived pressure from a sports medicine professional decreased intention beliefs by 0.17 (P = .029) points. Perceived pressure from stakeholders did not predict symptom reporting (P = .440) or "not obvious concussion" reporting (P = .655) behavior. We observed no difference in perceived pressure across stakeholders (all P values >.05); however, collegiate ice hockey respondents perceived greater pressure from coaches than youth or high school athletes (P < .001). We noted no other differences in perceived pressure across levels of play (all P values >.05).

CONCLUSIONS

Concussion reporting intentions were negatively influenced by perceived pressure from parents, athletic administrators, and sports medicine professionals, but these findings did not translate to reporting behavior.

Differences in sport-related concussion for female and male athletes in comparable collegiate sports: a study from the NCAA-DoD Concussion Assessment, Research and Education (CARE) Consortium

OBJECTIVES

To examine sex differences in sport-related concussion (SRC) across comparable sports.

METHODS

Prospective cohort of collegiate athletes enrolled between 2014 and 2017 in the Concussion Assessment, Research and Education Consortium study.

RESULTS

Among 1071 concussions (females=615; 57.4%), there was no difference in recovery (median days to full return to play) (females=13.5 (IQR 9.0, 23.1) vs males=11.8 (IQR 8.1, 19.0), p=0.96). In subgroup analyses, female recovery was longer in contact (females=12.7 days (IQR 8.8, 21.4) vs males=11.0 days (IQR 7.9, 16.2), p=0.0021), while male recovery was longer in limited contact sports (males=16.9 days (IQR 9.7, 101.7) vs females=13.8 days (IQR 9.1, 22.0), p<0.0001). There was no overall difference in recovery among Division I schools (females=13.7 (IQR 9.0, 23.1) vs males=12.2 (IQR 8.2 19.7), p=0.5), but females had longer recovery at the Division II/III levels (females=13.0 (IQR 9.2, 22.7) vs males=10.6 (IQR 8.1, 13.9), p=0.0048).

CONCLUSION

Overall, no difference in recovery between sexes across comparable women's and men's sports in this collegiate cohort was found. However, females in contact and males in limited contact sports experienced longer recovery times, while females had longer recovery times at the Division II/III level. These disparate outcomes indicate that, while intrinsic biological sex differences in concussion recovery may exist, important, modifiable extrinsic factors may play a role in concussion outcomes.

Staffing, Financial, and Administrative Oversight Models and Rates of Injury in Collegiate Athletes

CONTEXT

Structural features of health care environments are associated with patient health outcomes, but these relationships are not well understood in sports medicine.

OBJECTIVE

To evaluate the association between athlete injury outcomes and structural measures of health care at universities: (1) clinicians per athlete, (2) financial model of the sports medicine department, and (3) administrative reporting structure of the sports medicine department.

DESIGN

Descriptive epidemiology study.

SETTING

Collegiate sports medicine programs.

PATIENTS OR OTHER PARTICIPANTS

Colleges that contribute data to the National Collegiate Athletic Association (NCAA) Injury Surveillance Program.

MAIN OUTCOME MEASURE(S)

We combined injury data from the NCAA Injury Surveillance Program, sports medicine staffing data from NCAA Research, athletic department characteristics from the United States Department of Education, and financial and administrative oversight model data from a previous survey. Rates of injury, reinjury, concussion, and time loss (days) in NCAA athletes.

RESULTS

Compared with schools that had an average number of clinicians per athlete, schools 1 standard deviation above average had a 9.5% lower injury incidence (103.6 versus 93.7 per 10000 athlete-exposures [AEs]; incidence rate ratio [IRR] = 0.905, P < .001), 2.7% lower incidence of reinjury (10.6 versus 10.3 per 10000 AEs; IRR = 0.973, P = .004), and 6.7% lower incidence of concussion (6.1 versus 5.7 per 10000 AEs; IRR = 0.933, P < .001). Compared with the average, schools that had 1 standard deviation more clinicians per athlete had 16% greater injury time loss (5.0 days versus 4.2 days; IRR = 1.16, P < .001). At schools with sports medicine departments financed by or reporting to the athletics department (or both), athletes had higher injury incidences (31% and 9%, respectively).

CONCLUSIONS

The financial and reporting structures of collegiate sports medicine departments as well as the number of clinicians per athlete were associated with injury risk. Increasing the number of sports medicine clinicians on staff and structuring sports medicine departments such that they are financed by and report to a medical institution may reduce athlete injury incidence.