Literature DB >> 24758246

Epidemiologic comparison of injured high school basketball athletes reporting to emergency departments and the athletic training setting.

Erica N Fletcher1, Lara B McKenzie, R Dawn Comstock.   

Abstract

CONTEXT: Basketball is a popular US high school sport with more than 1 million participants annually.
OBJECTIVE: To compare patterns of athletes with basketball-related injuries presenting to US emergency departments from 2005 through 2010 and the high school athletic training setting from the 2005-2011 seasons.
DESIGN: Descriptive epidemiology study.
SETTING: Data from the National Electronic Injury Surveillance System of the US Consumer Product Safety Commission and the High School Reporting Information Online database. MAIN OUTCOME MEASURE(S): Complex sample weights were used to calculate national estimates of basketball-related injuries for comparison. PATIENTS OR OTHER PARTICIPANTS: Adolescents from 13 to 19 years of age treated in US emergency departments for basketball-related injuries and athletes from 13 to 19 years of age from schools participating in High School Reporting Information Online who were injured while playing basketball.
RESULTS: Nationally, an estimated 1,514,957 (95% confidence interval = 1,337,441, 1,692,474) athletes with basketball-related injuries reported to the emergency department and 1,064,551 (95% confidence interval = 1,055,482, 1,073,620) presented to the athletic training setting. Overall, the most frequent injuries seen in the emergency department were lacerations and fractures (injury proportion ratios [IPRs] = 3.45 and 1.72, respectively), whereas those seen in the athletic training setting were more commonly concussions and strains/sprains (IPRs = 2.23 and 1.19, respectively; all P values < .0001). Comparisons of body site and diagnosis combinations revealed additional differences. For example, athletes with lower leg fractures more often presented to the emergency department (IPR = 6.53), whereas those with hand fractures more frequently presented to the athletic training setting (IPR = 1.18; all P values < .0001).
CONCLUSIONS: Patterns of injury differed among high school basketball players presenting for treatment in the emergency department and the athletic training setting. Understanding differences specific to clinical settings is crucial to grasping the full epidemiologic and clinical picture of sport-related injuries. Certified athletic trainers play an important role in identifying, assessing, and treating athletes with sport-related injuries who might otherwise present to clinical settings with higher costs, such as the emergency department.

Entities:  

Keywords:  adolescents; assessment; injury surveillance

Mesh:

Year:  2014        PMID: 24758246      PMCID: PMC4080600          DOI: 10.4085/1062-6050-49.3.09

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  24 in total

1.  Epidemiology of high school and collegiate football injuries in the United States, 2005-2006.

Authors:  Prasad R Shankar; Sarah K Fields; Christy L Collins; Randall W Dick; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2007-03-16       Impact factor: 6.202

2.  Do certified athletic trainers make a difference in high school athletic healthcare?

Authors:  George Wham; Dave Sealy; Ruth Saunders; Stefan Montgomery; Gary Goforth
Journal:  J S C Med Assoc       Date:  2008-04

3.  Assessment and management of sport-related concussions in United States high schools.

Authors:  William P Meehan; Pierre d'Hemecourt; Christy L Collins; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2011-10-03       Impact factor: 6.202

4.  Impact of fractures on school attendance.

Authors:  Joshua E Hyman; John T Gaffney; Howard R Epps; Hiroko Matsumoto
Journal:  J Pediatr Orthop       Date:  2011-03       Impact factor: 2.324

5.  National Hospital Ambulatory Medical Care Survey: 2006 emergency department summary.

Authors:  Stephen R Pitts; Richard W Niska; Jianmin Xu; Catharine W Burt
Journal:  Natl Health Stat Report       Date:  2008-08-06

6.  Case ascertainment in pediatric traumatic brain injury: challenges in using the NEISS.

Authors:  Huiyun Xiang; Sara A Sinclair; Songlin Yu; Gary A Smith; Kelly Kelleher
Journal:  Brain Inj       Date:  2007-03       Impact factor: 2.311

7.  Epidemiology of severe injuries among United States high school athletes: 2005-2007.

Authors:  Cory J Darrow; Christy L Collins; Ellen E Yard; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2009-06-16       Impact factor: 6.202

8.  An epidemiologic comparison of high school and college wrestling injuries.

Authors:  Ellen E Yard; Christy L Collins; Randall W Dick; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2007-10-11       Impact factor: 6.202

9.  Cost of injuries from a prospective cohort study of North Carolina high school athletes.

Authors:  S B Knowles; S W Marshall; T Miller; R Spicer; J M Bowling; D Loomis; R W Millikan; J Yang; F O Mueller
Journal:  Inj Prev       Date:  2007-12       Impact factor: 2.399

10.  Ankle injuries among United States high school sports athletes, 2005-2006.

Authors:  Alex J Nelson; Christy L Collins; Ellen E Yard; Sarah K Fields; R Dawn Comstock
Journal:  J Athl Train       Date:  2007 Jul-Sep       Impact factor: 2.860

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  11 in total

1.  Developing a concussion assessment mHealth app for certified Athletic Trainers.

Authors:  Scott P McGrath; Melanie L McGrath; Dhundy Bastola
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Secondary School Socioeconomic Status and Athletic Training Practice Characteristics.

Authors:  Hannah J Robison; Janet E Simon; Erik J Nelson; Sarah N Morris; Erin B Wasserman; Carrie L Docherty
Journal:  J Athl Train       Date:  2022-04-01       Impact factor: 3.824

3.  Athletic Training Service Characteristics for Patients With Ankle Sprains Sustained During High School Athletics.

Authors:  Janet E Simon; Erik A Wikstrom; Dustin R Grooms; Carrie L Docherty; Thomas P Dompier; Zachary Y Kerr
Journal:  J Athl Train       Date:  2018-01-26       Impact factor: 2.860

4.  Methods and Descriptive Epidemiology of Services Provided by Athletic Trainers in High Schools: The National Athletic Treatment, Injury and Outcomes Network Study.

Authors:  Zachary Y Kerr; Thomas P Dompier; Sara L Dalton; Sayers John Miller; Ross Hayden; Stephen W Marshall
Journal:  J Athl Train       Date:  2015-12-17       Impact factor: 2.860

5.  The impact of high school athletic trainer services on medical payments and utilizations: a microsimulation analysis on medical claims.

Authors:  Tao Li; Samuel T Johnson; Michael C Koester; Annie Hommel; Marc F Norcross
Journal:  Inj Epidemiol       Date:  2019-05-01

6.  Epidemiologic comparisons of soccer-related injuries presenting to emergency departments and reported within high school and collegiate settings.

Authors:  Zachary Y Kerr; Lauren A Pierpoint; Dustin W Currie; Erin B Wasserman; R Dawn Comstock
Journal:  Inj Epidemiol       Date:  2017-07-03

7.  Epidemiology of sports injuries in basketball: integrative systematic review.

Authors:  Carlos Vicente Andreoli; Bárbara Camargo Chiaramonti; Elisabeth Buriel; Alberto de Castro Pochini; Benno Ejnisman; Moises Cohen
Journal:  BMJ Open Sport Exerc Med       Date:  2018-12-27

8.  Emergency Department Visits From 2014 to 2018 for Head Injuries in Youth Non-Tackle Football Compared With Other Sports.

Authors:  Jessica M Zendler; Ron Jadischke; Jared Frantz; Steve Hall; Grant C Goulet
Journal:  Orthop J Sports Med       Date:  2021-01-29

Review 9.  Gamifying App-Based Low-Intensity Psychological Interventions to Prevent Sports Injuries in Young Athletes: A Review and Some Guidelines.

Authors:  Víctor J Rubio; Aurelio Olmedilla
Journal:  Int J Environ Res Public Health       Date:  2021-12-09       Impact factor: 3.390

10.  Epidemiology of Injuries Requiring Emergency Transport Among Collegiate and High School Student-Athletes.

Authors:  Rebecca M Hirschhorn; Zachary Y Kerr; Erin B Wasserman; Melissa C Kay; Daniel R Clifton; Thomas P Dompier; Susan W Yeargin
Journal:  J Athl Train       Date:  2018-10-04       Impact factor: 2.860

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