Injured Athletes and Physiotherapy: An Adherence Feedback Model
Injured Athletes and Physiotherapy: An Adherence Feedback Model
Loading...
Issue Date
1996
Authors
Lathrop, Robert S.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Athletic injury can be a traumatic experience. Adhering to an ensuing physiotherapy regimen may be very difficult for some athletes for a variety of reasons. How to facilitate adherence in non-compliant athletes is the focus of this study. Stage, cycle, and cognitive appraisal models of psychological reactions to injury are reviewed as well as the factors that enhance adherence to physiotherapy. The reoccurring theme of the literature I review is the perception of the athlete. Because the psychological reactions of the athlete and the factors that influence adherence, are so extensive and vary through time, the predication of adherence is nearly impossible. It is theorized, however, that the perception of the athlete is a valid indicator of how well the athlete will adhere to the physiotherapy. If the athlete's perception of his or her situation is positive, then adherence is likely to occur. Central to a positive perception is communication. How the sports medicine team (SMT) communicates to the athlete can determine how the athlete perceives his or her situation. Because communication is a complex concept, the sports medicine team must make certain that all communication systems are congruent and convey the same message that is intended to be sent by the SMT. An adherence feedback model is presented and focuses on the communication process. Each component of the model allows for the SMT to assess any potential factor that is influencing the behavior of the athlete. Thus, if the communication between the athlete and the SMT is effective, then any factor that is negatively affecting the athlete's behavior can be identified. This model can account for the individual perceptions and can be useful throughout the athlete's rehabilitation due to the communication feedback that is inherent within the model.