eValuate - A Sports Analytics mHealth App : Featuring the Perceived Load and Fitness Scale for Overtraining Prevention and Intervention

Abstract: Health and fitness apps have become ubiquitous as smart devices become a major necessity in day-to-day life. However, an obvious issue with mobile health (mHealth) apps is that a substantial portion of them lack a scientific foundation and instead utilize  experiential  stratagems.  Hence,  the  acquired  data  becomes  unreliable.  In sports, where data collection is extensive, this becomes a vital factor for success due to  the  increasing  usage  of  mHealth.  Therefore,  the  Swedish  School  of  Sport  and Health Sciences has, in collaboration with other organizations, created the Perceived Load  and  Fitness  Scale  Questionnaire.  The  purpose  of  this  questionnaire  is  to function as a marker for overtraining, and thus injury prevention and intervention will become a simpler and more efficient task. A computer software was developed for the questionnaire; however, a mobile version was required, and thus requested. Consequently, the mHealth prototype app eValuate was developed. Research, in the form of literature studies, and dissection of other apps, for additional information, contributed  to  the  development  of  it.  The  prototype  was  developed  using  the programming language Java with Android Studio as the Integrated Development Environment  and  Cloud  Firebase  Firestore  as  a  database  solution.  The  finished prototype, eValuate, had to be trialled to ensure that it satisfies the criteria. Thus, the Mobile Application Rating Scale was employed as the most appropriate means of evaluation. A small-scale study was planned to trial the prototype by utilizing this scale.  However,  due  to  unforeseen  events,  only  four  respondents  could  provide feedback. The prototype performed admirably and scored 3.8 stars out of 5 stars. Nonetheless, the testing sample is too small to draw any real conclusions.