Factors influencing the implementation of self-report measures for athlete monitoring

Neumaier, A, Main, L. C. and Gastin, P. 2013, Factors influencing the implementation of self-report measures for athlete monitoring, in ACSMS 2013 : Abstracts of the Asics Conference of Science and Medicine in Sport 2013, Sports Medicine Australia, Mitchell, ACT, pp. Sec 2: 69-Sec 2: 69.

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Title Factors influencing the implementation of self-report measures for athlete monitoring
Author(s) Neumaier, A
Main, L. C.
Gastin, P.
Conference name Asics Conference of Science and Medicine in Sport (2013 : Phuket, Thailand)
Conference location Phuket, Thailand
Conference dates 23-25 Oct. 2013
Title of proceedings ACSMS 2013 : Abstracts of the Asics Conference of Science and Medicine in Sport 2013
Editor(s) [Unknown]
Publication date 2013
Conference series Asics Conference of Science and Medicine in Sport
Start page Sec 2: 69
End page Sec 2: 69
Publisher Sports Medicine Australia
Place of publication Mitchell, ACT
Summary Introduction: Self-report measures are a relatively simple and theoretically effective means of athlete monitoring above traditional physiological and performance measures. The objectives of self-report measures include early detection and ultimately prevention of undesired outcomes such as overtraining and injury. However achieving such objectives is dependent on how the measure is implemented. This study sought to investigate how athlete self-report measures (ASRM) were implemented in elite sport settings, and to identify barriers and enablers to implementation. Methods: Semi-structured interviews were conducted one-on-one with ASRM stakeholders (8 athletes, 7 coaches, 15 sports science and medicine staff) at a national sporting institute. Interviewees represented 20 different elite sport programs. Transcripts were analysed for emergent themes using sound qualitative methods. Results: Overall, ASRM were well-received by stakeholders, though more due to their potential benefits. The realisation of such benefits was compromised, largely due to ASRM implementation practices. Factors identified as influencing implementation related to either the ASRM itself (eg. mode, accessibility, questions, interface, time burden), how it was implemented (eg. timing of completion, feedback) or the social environment (eg. engagement of stakeholders, culture). Collectively, these factors inter-related to encourage or discourage compliant and accurate completion by athletes, and use by staff. Discussion: Whilst factors related to the ASRM influenced athlete and staff engagement, the larger issue related to how the measure was implemented and the social environment supporting this. Addressing each of the factors identified to influence ASRM implementation will improve data integrity, which is necessary to realise the objectives of ASRM. Conclusion: The findings of this study improve our understanding of the various factors that influence the implementation of ASRM in the unique environment of elite sports. These results create a platform to guide improved implementation practices in the future.
Language eng
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30059189

Document type: Conference Paper
Collection: School of Exercise and Nutrition Sciences
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