Laurelie R Wall1, Bena Cartmill2, Elizabeth C Ward3, Anne J Hill4, Elizabeth Isenring5, Joshua Byrnes6, Suzanne Chambers7, Jeff Dunn7, Jodie Nixon8, Jane Whelan9, Sandro V Porceddu10. 1. Centre for Functioning and Health Research, Queensland Health, Brisbane, Australia; School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Speech Pathology Department, Princess Alexandra Hospital, Queensland Health, Brisbane, Australia. Electronic address: l.wall@uq.edu.au. 2. Centre for Functioning and Health Research, Queensland Health, Brisbane, Australia; Speech Pathology Department, Princess Alexandra Hospital, Queensland Health, Brisbane, Australia. 3. Centre for Functioning and Health Research, Queensland Health, Brisbane, Australia; School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia. 4. School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Centre for Research Excellence in Telehealth, The University of Queensland, Brisbane, Australia. 5. Dietetics Department, Princess Alexandra Hospital, Queensland Health, Brisbane, Australia; Faculty of Health Sciences and Medicine, Bond University, Queensland, Australia. 6. Centre for Applied Economics, School of Medicine, Griffith University, Queensland, Australia. 7. Menzies Health Institute QLD, Griffith University, Queensland, Australia; Cancer Council Queensland, Brisbane, Australia. 8. Occupational Therapy Department, Princess Alexandra Hospital, Queensland Health, Brisbane, Australia. 9. Social Work Department, Princess Alexandra Hospital, Queensland Health, Brisbane, Australia. 10. Radiation Oncology Department, Princess Alexandra Hospital, Queensland Health, Brisbane, Australia; School of Medicine, The University of Queensland, Brisbane, Australia.
Abstract
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. This study evaluated the accuracy of a novel system, ScreenIT, to detect swallowing, nutrition and distress status in HNC patients receiving (chemo)radiotherapy ([C]RT), and facilitate appropriate referrals for MDT management. 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. Agreement was analysed using percent exact and close agreement (PEA/PCA) and kappa statistics. RESULTS: Clinically acceptable agreement (PEA/PCA 80% or higher) was achieved for the majority of domains. In areas of discordance, ScreenIT demonstrated a higher sensitivity to patient-perceived concerns, particularly regarding distress. Management pathways generated by ScreenIT initiated clinically appropriate referrals for high and medium-risk patients for swallowing/nutrition and distress. CONCLUSION: Findings suggest that ScreenIT may provide an effective and efficient means of monitoring swallowing, nutrition and distress status during (C)RT, and facilitate clinically appropriate prioritization of MDT supportive care intervention.
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. This study evaluated the accuracy of a novel system, ScreenIT, to detect swallowing, nutrition and distress status in HNC patients receiving (chemo)radiotherapy ([C]RT), and facilitate appropriate referrals for MDT management. 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. Agreement was analysed using percent exact and close agreement (PEA/PCA) and kappa statistics. RESULTS: Clinically acceptable agreement (PEA/PCA 80% or higher) was achieved for the majority of domains. In areas of discordance, ScreenIT demonstrated a higher sensitivity to patient-perceived concerns, particularly regarding distress. Management pathways generated by ScreenIT initiated clinically appropriate referrals for high and medium-risk patients for swallowing/nutrition and distress. CONCLUSION: Findings suggest that ScreenIT may provide an effective and efficient means of monitoring swallowing, nutrition and distress status during (C)RT, and facilitate clinically appropriate prioritization of MDT supportive care intervention.
Authors: Laurelie R Wall; Sanjeewa Kularatna; Elizabeth C Ward; Bena Cartmill; Anne J Hill; Elizabeth Isenring; Joshua Byrnes; Sandro V Porceddu Journal: Dysphagia Date: 2018-12-04 Impact factor: 3.438
Authors: Laura B Moroney; Elizabeth C Ward; Jennifer Helios; Jane Crombie; Clare L Burns; Claire Blake; Tracy Comans; Benjamin Chua; Lizbeth Kenny; Brett G M Hughes Journal: Support Care Cancer Date: 2019-07-27 Impact factor: 3.603
Authors: S Duman-Lubberding; C F van Uden-Kraan; F Jansen; B I Witte; S E J Eerenstein; S van Weert; R de Bree; C R Leemans; I M Verdonck-de Leeuw Journal: Support Care Cancer Date: 2017-07-12 Impact factor: 3.603
Authors: Jodie L Nixon; Bena Cartmill; Jane Turner; Amanda E Pigott; Elizabeth Brown; Laurelie R Wall; Elizabeth C Ward; Sandro V Porceddu Journal: J Med Radiat Sci Date: 2018-10-30