Feasibility of the PERformance Guided Fracture Rehablitation Method-protocol

Introduction: The scientific support for prescribed rehabilitation programs for upper extremity fractures is scarce, early mobilization has previously been shown to benefit the speed of recovery at the activity and participation level. Different (inter)national protocols for fracture rehabilitation of the upper extremity are not very specific with regard to the content of (para)medical treatment. The above underlines the need for a clearly defined and practically feasible treatment method. That is why the PERformance guided Fracture Rehablitation Method (PERForRM) protocol was drawn up, in which the treatment method is clearly described in a structured and protocol-based manner. The ultimate goal of the PERformance guided Fracture Rehablitation Method (PERFoRM) protocol is to optimize recovery, with maximum recovery of activity and participation level in upper extremity fractures. Expert opinion/empiricism was used during the writing of the protocol, partly arising from the earlier development of a protocol for the lower extremity. The approach according to the PERForRM protocol does not focus on the time-contingent load on the fracture, but rather on the functional use of the extremity, whereby the quality of movement is paramount. The PERForRM protocol proposes a "gold standard" in the form of milestones for describing the quality of movement of the upper extremity for (para)medics. Method: The aim of this pilot study is to test the manageability/feasibility of this protocol in clinical practice in patients with peri-articular fractures of the upper extremity (proximal humeral and distal radius fractures). It also describes the recovery in the area of the ICF domains and the complications that occurred when applying the PERForRM protocol. The inclusion period consists of 3 months, with a follow-up of 6 months. The manageability is measured by means of a questionnaire that is administered to the practitioners (2x during the study period). The data analysis will