Abstract
The cervical facet joint is a prevalent source of pain in patients with chronic cervical spine pain. Patients with persistent, disabling neck pain, are increasingly being referred for diagnostic facet joint blocks, with the aim of assessing their suitability for interventional procedures such as radiofrequency neurotomy (RFN). A positive response to the block is an indicator of more substantive benefits from RFN. Physiotherapists and medical practitioners are challenged to make appropriate referrals for diagnostic facet joint blocks. This lack of selection contributes to lengthy wait-lists, unnecessary invasive procedures for those who have a negative response and significant costs to the health care system. Physiotherapists use manual examination to identify the facet joint as the primary source of a patient’s pain but its diagnostic accuracy and reliability is variable. It is reasoned that a combination of findings of a physical, manual and psychological assessment may better indicate that a patient will respond positively or negatively to a diagnostic facet joint block. Clinical prediction guides (CPG) allow practitioners to use the results of the patient history, self-report measures and physical examination toward optimal diagnostic and therapeutic decisions. It is proposed that the development and validation of a CPG may aid in the appropriate selection of patients for this diagnostic procedure.
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