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mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. (Athletics Research Center)
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. (Athletics Research Center)
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. (Athletics Research Center)
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. (Athletics Research Center)
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2018 (English)In: JMIR mhealth and uhealth, E-ISSN 2291-5222, Vol. 6, no 8, article id e10270Article in journal (Refereed) Published
Abstract [en]

Background: International middle- and long-distance running competitions attract millions of spectators in association with city races, world championships, and Olympic Games. It is therefore a major concern that ill health and pain, as a result of sports overuse, lead to numerous hours of lost training and decreased performance in competitive runners. Despite its potential for sustenance of performance, approval of mHealth self-report monitoring (mHSM) in this group of athletes has not been investigated. Objective: The objective of our study was to explore individual and situational factors associated with the acceptance of long-term mHSM in competitive runners. Methods: The study used qualitative research methods with the Technology Acceptance Model as the theoretical foundation. The study population included 20 middle- and long-distance runners competing at national and international levels. Two mHSM apps asking for health and training data from track and marathon runners were created on a platform for web survey development (Briteback AB). Data collection for the technology acceptance analysis was performed via personal interviews before and after a 6-week monitoring period. Preuse interviews investigated experience and knowledge of mHealth monitoring and thoughts on benefits and possible side effects. The postuse interviews addressed usability and usefulness, attitudes toward nonfunctional issues, and intentions to adhere to long-term monitoring. In addition, the runners trustworthiness when providing mHSM data was discussed. The interview data were investigated using a deductive thematic analysis. Results: The mHSM apps were considered technically easy to use. Although the runners read the instructions and entered data effortlessly, some still perceived mHSM as problematic. Concerns were raised about the selection of items for monitoring (eg, recording training load as running distance or time) and about interpretation of concepts (eg, whether subjective well should encompass only the running context or daily living on the whole). Usefulness of specific mHSM apps was consequently not appraised on the same bases in different subcategories of runners. Regarding nonfunctional issues, the runners competing at the international level requested detailed control over who in their sports club and national federation should be allowed access to their data; the less competitive runners had no such issues. Notwithstanding, the runners were willing to adhere to long-term mHSM, provided the technology was adjusted to their personal routines and the output was perceived as contributing to running performance. Conclusions: Adoption of mHSM by competitive runners requires clear definitions of monitoring purpose and populations, repeated in practice tests of monitoring items and terminology, and meticulousness regarding data-sharing routines. Further naturalistic studies of mHSM use in routine sports practice settings are needed with nonfunctional ethical and legal issues included in the evaluation designs.

Place, publisher, year, edition, pages
JMIR PUBLICATIONS, INC , 2018. Vol. 6, no 8, article id e10270
Keywords [en]
running; mHealth; health technology; diagnostic self-evaluation; remote sensing technology; self-evaluation programs; qualitative research
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:liu:diva-150487DOI: 10.2196/10270ISI: 000441427300001PubMedID: 30104183OAI: oai:DiVA.org:liu-150487DiVA, id: diva2:1241717
Available from: 2018-08-24 Created: 2018-08-24 Last updated: 2019-05-01

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Timpka, Toomas

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Rönnby, SaraLundberg, OscarFagher, KristinaJacobsson, JennyTillander, BoGauffin, HåkanHansson, Per-OlofDahlström, ÖrjanTimpka, Toomas
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Department of Medical and Health SciencesFaculty of Medicine and Health SciencesDivision of Community MedicineDivision of Surgery, Orthopedics and OncologyDepartment of Orthopaedics in LinköpingPolitical ScienceFaculty of Arts and SciencesDisability ResearchThe Swedish Institute for Disability ResearchDepartment of Health and Care Development
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