Literature DB >> 27502408

Electronic data capture on athletes' pre-participation health and in-competition injury and illness at major sports championships: An extended usability study in Athletics.

David Karlsson, Toomas Timpka1, Jenny Jacobsson2, Juan-Manuel Alonso3, Jan Kowalski4, Sverker Nilsson2, Frédéric Depiesse5, Pedro Branco6, Pascal Edouard7.   

Abstract

This study set out to identify factors critical for the usability of electronic data collection in association with championships in individual sports. A qualitative analysis of electronic data collection system usability for collection of data on pre-participation health from athletes and in-competition injury and illness from team physicians was performed during the 2013 European Athletics Indoor Championships. A total of 15 athletes and team physicians participated. Athletes were found to experience few problems interacting with the electronic data collection system, but reported concerns about having to reflect on injury and illness before competitions and the medical terminology used. Team physicians encountered problems when first navigating through the module for clinical reporting, but they were not subjected to motivational problems. We conclude that athletes' motivation to self-report health data and the design of the human-computer interface for team physicians are key issues for the usability of electronic data collection systems in association with championships in individual sports.

Entities:  

Keywords:  electronic data capture; human–computer interaction; qualitative research methods; sports epidemiology; usability

Mesh:

Year:  2016        PMID: 27502408     DOI: 10.1177/1460458216661861

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  2 in total

1.  An eHealth Application of Self-Reported Sports-Related Injuries and Illnesses in Paralympic Sport: Pilot Feasibility and Usability Study.

Authors:  Kristina Fagher; Jenny Jacobsson; Örjan Dahlström; Toomas Timpka; Jan Lexell
Journal:  JMIR Hum Factors       Date:  2017-11-29

2.  mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model.

Authors:  Sara Rönnby; Oscar Lundberg; Kristina Fagher; Jenny Jacobsson; Bo Tillander; Håkan Gauffin; Per-Olof Hansson; Örjan Dahlström; Toomas Timpka
Journal:  JMIR Mhealth Uhealth       Date:  2018-08-13       Impact factor: 4.773

  2 in total

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