![]() ![]() In areas of discordance, ScreenIT demonstrated a higher sensitivity to patient-perceived concerns, particularly regarding distress. Results Clinically acceptable agreement (PEA/PCA 80% or higher) was achieved for the majority of domains. ![]() Agreement was analysed using percent exact and close agreement (PEA/PCA) and kappa statistics. Materials and methods Patient-reported data obtained from ScreenIT was compared to blinded face-to-face assessment by speech pathology/dietetic clinicians across five domains: side-effects, swallowing/oral intake, nutrition, distress, and need for supportive care services. This study evaluated the accuracy of a novel system, ScreenIT, to detect swallowing, nutrition and distress status in HNC patients receiving (chemo)radiotherapy (RT), and facilitate appropriate referrals for MDT management. Background In light of growing service demands, the use of computerized screening processes have been proposed to optimize patient triage and enhance the efficiency and synergy of multidisciplinary care practices.
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