Outcomes of a first point of contact speech language therapy clinic for patients requiring vocal cord check pre and post thyroid/parathyroid surgery.

Abstract

Speech Language Therapy First Point of Contact Clinic (SLT-FPOCC) models can assist assessment of low-risk patient populations referred to ear, nose and throat (ENT) services. To further improve ENT waitlist management and compliance with best-practice care, consideration of other low-risk populations that could be safely managed through this service model is needed. The aims of this paper are to evaluate the clinical and service outcomes of completing vocal cord check (VCC) assessments for patients' pre and post thyroid/parathyroid surgery within an SLT-FPOCC model and examine consumer perceptions. The service followed existing SLT-FPOCC procedures, with ENT triaging referrals, then SLT completing pre- and postoperative VCC assessment (interview, perceptual assessment, flexible nasendoscopy), with assessment data later reviewed by ENT to diagnose laryngeal pathology. Clinical and service outcomes were collected prospectively. Patients completed an anonymous post-service satisfaction survey. Of the first 100 patients referred for preoperative VCCs, SLT assessment identified 42 with dysphonia and 30 reporting dysphagia, while ENT confirmed 9 with significant preoperative anatomical findings. Eighty-three underwent surgery, with 63 (95 nerves at surgical risk) returning for a postoperative VCC. Postoperative VCC identified three temporary neuropraxias (3.2%) and three unilateral vocal fold paresis (3.2%). Patients were highly satisfied with the service. All 163 pre-/postoperative VCCs were completed with no adverse events. The current data support SLT-FPOCC service expansion to include pre and post thyroid/parathyroid surgery VCC checks, with positive consumer perception. The model supports delivery of best practice management (i.e., pre- and postoperative VCC) for patients receiving surgery for thyroid/parathyroid dysfunction, and associated efficiencies for ENT services. What is already known Assessment of laryngeal function via flexible nasoendoscopy is recommended best practice for patients pre and postthyroid/parathyroid surgery, as recurrent laryngeal nerve injury is a low incidence (<10%), yet well-recognised risk of these surgeries. Traditionally, general surgeons refer presurgical patients to ear, nose and throat (ENT) for vocal cord check (VCC) assessment. However, with access to specialist outpatient services under increasing pressure, there is growing support for utilisation of other health professionals, such as speech-language therapists working in first point of contact (FPOCC) models, to assist with the administration of pre- and postsurgical assessments of such low-risk populations. What this study adds This work expands on the emerging body of evidence for speech language therapy (SLT) led FPOCC models within ENT outpatient services, providing clinical and service outcomes to support the safety of a new model designed to administer VCCs for patients pre and post thyroid/parathyroid surgery. Adopting a similar model to a prior published SLT-led FPOCC model, the trained SLT completes the pre- and postsurgical VCC including flexible nasoendoscopy and videostroboscopy, with images and clinical information then presented to ENT for diagnosis and management planning. This study also provides the first data on consumer perceptions of this type of service model. Clinical implications of this study Data on 100 consecutive presurgical patients revealed positive service findings, supporting the safety of this model. Nature and incidence of clinical findings pre and post surgery were consistent with previously published studies using traditional models of care (i.e., ENT completing the flexible nasendoscopy). Consumer perception was positive. This model enables delivery of pre-and postsurgical assessments for patients receiving thyroid/parathyroid surgery, consistent with best practice care, and reduces burden on ENT services. In total 163 ENT appointments were avoided with this model, with positive implications for ENT waitlist management.