Evidence map›Paper›PMID 32383984›Full record

ArticleJournal of athletic training2020

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

Christine M Baugh, Zachary Y Kerr, Emily Kroshus, Bailey L Lanser, Tory R Lindley, William P Meehan

Abstract read
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Article in Journal of athletic training, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Christine M BaughInterfaculty Initiative in Health Policy, Harvard University, Boston, MA.
Zachary Y KerrDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill.
Emily KroshusDepartment of Pediatrics, University of Washington, Seattle; Seattle Children's Research Institute, Center for Child Health, Behavior and Development.
Bailey L LanserCleveland Clinic Rehabilitation and Sports Therapy, OH.
Tory R LindleyIntercollegiate Sports Medicine, Northwestern University, Evanston, IL.
William P MeehanDivision of Sports Medicine, Sports Concussion Clinic, Boston Children's Hospital, MA.

Funding

Health Policy Training Program: Promoting Outcomes, Quality, Equity and Diffusion of AdvancesT32MH019733 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Benjamin Le Cook, Haiden A Huskamp · 1993 to 2026
$7.0M
NIMH NIH HHS T32 MH019733
6 · The paper itself

Abstract

contextThe relative availability of clinicians as well as the types and training of health care providers have been associated with morbidity and mortality in non-athletic health care settings. Whether staffing variations are associated with injury incidence in collegiate athletes is unknown.

objectiveTo evaluate whether the institutional ratio of athletes to athletic trainers (patient load) or the ratio of staff to nonstaff (graduate assistant and certified intern) athletic trainers or both is associated with the incidence of injuries sustained by male ice hockey athletes at the school.

designDescriptive epidemiology study.

settingNational Collegiate Athletic Association (NCAA) men's ice hockey teams. PATIENTS OR OTHER

participantsCollegiate men's ice hockey athletes. MAIN OUTCOME MEASURE(S): The NCAA Injury Surveillance Program collected data from collegiate men's ice hockey athletes. Staffing patterns were obtained through telephone interviews. Injury counts, injury rates per 1000 athlete-exposures, and injury rate ratios with 95% confidence intervals were calculated and compared between the following groups: (1) schools with high (versus low) patient load and (2) schools with high (versus low) ratio of staff to nonstaff (graduate assistant and certified intern) athletic trainers.

resultsBoth the patient load and relative number of staff athletic trainers were associated with variations in the incidences and types of diagnosed injuries in male ice hockey players. Specifically, fewer injuries were diagnosed by clinicians at institutions with high patient loads. The rates of injury overall and non-time-loss injuries were lower in the high patient-load group. Time-loss injury rates, severe injury rates, concussion rates, and overall rates of injury during competition were greater in the group with a higher proportion of staff athletic trainers, whereas non-time-loss injury rates were lower.

conclusionsIn this study of collegiate men's ice hockey players, athlete health outcomes were directly related to the number and types of clinicians available. Future researchers should evaluate whether this finding extends beyond men's ice hockey.

Indexed as

Athletic InjuriesBrain ConcussionRisk ManagementSports MedicineWorkforceAdultHockeyHumansIncidenceMaleOutcome Assessment, Health CarePersonnel ManagementUnited StatesUniversitiescollegiate athleticsconcussionepidemiologyhealth policyskill mix

Identifiers

PMID32383984
PMCPMC7319740

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.