"ScreenIT": Computerized screening of swallowing, nutrition and distress in head and neck cancer patients during (chemo)radiotherapy
Author(s)
Wall, Laurelie R
Cartmill, Bena
Ward, Elizabeth C
Hill, Anne J
Isenring, Elizabeth
Byrnes, Joshua
Chambers, Suzanne
Dunn, Jeff
Nixon, Jodie
Whelan, Jane
Porceddu, Sandro V
Year published
2016
Metadata
Show full item recordAbstract
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-toface
assessment by speech pathology/dietetic clinicians across five domains: side-effects, ...
View more >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-toface 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.
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View more >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-toface 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.
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Journal Title
Oral Oncology
Volume
54
Subject
Health economics
Dentistry
Oncology and carcinogenesis