Health and Human Performance Will Not Improve Without Transdisciplinary Collaboration and Data Sharing
DOI:
https://doi.org/10.51224/SRXIV.336Keywords:
Real-World Evidence, Collaboration, Athletic Training, Real-World DataAbstract
NOTE: Editorials at Journal of Athletic Training do not have Abstracts there for this Abstract is only for the Preprint.
There are two largely competing models for an athletics organization at both the collegiate and professional levels: the High Performance Model and the Medical Model. The High Performance Model largely arises from international Football perspective that places a “Performance Director” at the center of teams supporting the athletes. Medical Model, supported by both the National Athletic Trainers Association and the NCAA, separates off medical staff (athletic trainers and physicians, predominantly) and emphasizes the autonomy of medical decisions. The Medical Model has left athletic trainers in a “medical silo”, which limits our ability to care for the individual athletes and limits our wider impact in the field of athlete health and injury mitigation. We argue that Medical Model is consistent with the High Performance Model only if we reject the notion that the “Performance Director” is an administrative person and instead conceptualize this as a “Health and Performance Information Hub” which facilitates transdisciplinary collaboration. This Editorial details how a data broker system can be used to facilitate transdisciplinary collaboration within an athletic organization, leading to better healthcare for athletes and improved team and individual performance.
Metrics
References
Smith, Jed, Smolianov, Peter. The High Performance Management Model: From Olympic and Professional to University Sport in the United States. The Sport Journal. Published online February 4, 2016. Accessed September 15, 2023. https://thesportjournal.org/article/the-high-performance-management-model-from-olympic-and-professional-to-university-sport-in-the-united-states/
NCAA Sport Science Institute. Interassociation consensus: independent medical care of college student-athletes best practices. Accessed September 15, 2023. https://ncaaorg.s3.amazonaws.com/ssi/publications/SSI_IndependentMedicalCareBP.pdf
Only Half of Collegiate-Level Sports Programs Follow Medical Model of Care for Student Athletes, Survey Finds. NATA. Published June 26, 2019. Accessed September 15, 2023. https://www.nata.org/press-release/062619/only-half-collegiate-level-sports-programs-follow-medical-model-care-student
Rapp GC, Ingersoll CD. Sports Medicine Delivery Models: Legal Risks. Journal of Athletic Training. 2019;54(12):1237. doi:10.4085/1062-6050-83-19
Baugh CM, Meehan WP, McGuire TG, Hatfield LA. Staffing, Financial, and Administrative Oversight Models and Rates of Injury in Collegiate Athletes. J Athl Train. 2020;55(6):580-586. doi:10.4085/1062-6050-0517.19
Soligard T, Schwellnus M, Alonso JM, et al. How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury. Br J Sports Med. 2016;50(17):1030-1041. doi:10.1136/bjsports-2016-096581
Hulin BT, Gabbett TJ, Lawson DW, Caputi P, Sampson JA. The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players. Br J Sports Med. 2016;50(4):231-236. doi:10.1136/bjsports-2015-094817
Hulin BT, Gabbett TJ, Blanch P, Chapman P, Bailey D, Orchard JW. Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers. Br J Sports Med. 2014;48(8):708-712. doi:10.1136/bjsports-2013-092524
Impellizzeri FM, Tenan MS, Kempton T, Novak A, Coutts AJ. Acute:Chronic Workload Ratio: Conceptual Issues and Fundamental Pitfalls. International Journal of Sports Physiology and Performance. 2020;15(6):907-913. doi:10.1123/ijspp.2019-0864
Rosenfield PL. The potential of transdisciplinary research for sustaining and extending linkages between the health and social sciences. Social Science & Medicine. 1992;35(11):1343-1357. doi:10.1016/0277-9536(92)90038-R
Stellingwerff T, Heikura IA, Meeusen R, et al. Overtraining Syndrome (OTS) and Relative Energy Deficiency in Sport (RED-S): Shared Pathways, Symptoms and Complexities. Sports Med. 2021;51(11):2251-2280. doi:10.1007/s40279-021-01491-0
Mountjoy M, Ackerman KE, Bailey DM, et al. 2023 International Olympic Committee’s (IOC) consensus statement on Relative Energy Deficiency in Sport (REDs). Br J Sports Med. 2023;57(17):1073-1097. doi:10.1136/bjsports-2023-106994
Ingersoll CD. It’s Time for Evidence. J Athl Train. 2006;41(1):7.
Development & Approval Process | Drugs. FDA. Published July 18, 2023. Accessed August 11, 2023. https://www.fda.gov/drugs/development-approval-process-drugs
Ho M, van der Laan M, Lee H, et al. The Current Landscape in Biostatistics of Real-World Data and Evidence: Causal Inference Frameworks for Study Design and Analysis. Statistics in Biopharmaceutical Research. 2023;15(1):43-56. doi:10.1080/19466315.2021.1883475
US Food and Drug Administration. Framework for FDA’s Real World Evidence Program. Updated December 2018. Accessed August 10, 2023. https://www.fda.gov/media/120060/download
Downloads
Posted
Versions
- 2024-02-14 (2)
- 2023-10-13 (1)
License
Copyright (c) 2023 Matthew Tenan, Bob Alejo (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.