Data-driven biopsychosocial profiles to inform early psycho-oncology triage in head and neck cancer

PURPOSE: Rapid head and neck cancer (HNC) diagnostic pathways compress assessment and treatment planning into a few days. However, patients differ substantially in their psychological, physical, functional, interpersonal, and medical needs. Single-score distress screening may not capture this heterogeneity. METHODS: We analyzed cross-sectional baseline data from 96 adults assessed within an interdisciplinary 72-h fast-track diagnostic program for suspected or newly diagnosed HNC. Five theory-driven, z-standardized domains (psychological distress, physical burden, functional impairment, interpersonal vulnerability, medical complexity) were derived and clustered with k-means. Psychosocial care contacts within 14 days served as an exploratory external criterion and were not used as clustering inputs. RESULTS: A three-cluster solution yielded (i) low burden (n = 58, 60.4%), (ii) psychologically distressed (n = 24, 25.0%) with elevated distress and comparatively low medical complexity, and (iii) somatic/functional high burden (n = 14, 14.6%) characterized by prominent physical and functional burden. Psychosocial care utilization differed only modestly across clusters. CONCLUSIONS: Multidimensional profiling in this 72-h HNC pathway yielded clinically interpretable subgroups that may inform needs-based supportive and psychosocial care allocation. Because observed utilization did not map strongly onto profiles, prospective validation is required before clinical implementation.

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Publication Details

Journal
Supportive Care in Cancer
Published
2026-09-12
DOI
https://doi.org/10.1007/s00520-026-11187-8
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
0.00

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article

Data-driven biopsychosocial profiles to inform early psycho-oncology triage in head and neck cancer

Christian Thüring, Jan Ben Schulze, Cosima Riemenschnitter, Grégoire B. Morand et al.
Supportive Care in Cancer
Cancer survivorship and care
article

Data-driven biopsychosocial profiles to inform early psycho-oncology triage in head and neck cancer

Christian Thüring, Jan Ben Schulze, Cosima Riemenschnitter, Grégoire B. Morand, Martina A. Broglie, Roland von Känel, Simon A. Mueller, Sebastian Euler
article en

Abstract

PURPOSE: Rapid head and neck cancer (HNC) diagnostic pathways compress assessment and treatment planning into a few days. However, patients differ substantially in their psychological, physical, functional, interpersonal, and medical needs. Single-score distress screening may not capture this heterogeneity. METHODS: We analyzed cross-sectional baseline data from 96 adults assessed within an interdisciplinary 72-h fast-track diagnostic program for suspected or newly diagnosed HNC. Five theory-driven, z-standardized domains (psychological distress, physical burden, functional impairment, interpersonal vulnerability, medical complexity) were derived and clustered with k-means. Psychosocial care contacts within 14 days served as an exploratory external criterion and were not used as clustering inputs. RESULTS: A three-cluster solution yielded (i) low burden (n = 58, 60.4%), (ii) psychologically distressed (n = 24, 25.0%) with elevated distress and comparatively low medical complexity, and (iii) somatic/functional high burden (n = 14, 14.6%) characterized by prominent physical and functional burden. Psychosocial care utilization differed only modestly across clusters. CONCLUSIONS: Multidimensional profiling in this 72-h HNC pathway yielded clinically interpretable subgroups that may inform needs-based supportive and psychosocial care allocation. Because observed utilization did not map strongly onto profiles, prospective validation is required before clinical implementation.

Supportive Care in CancerVol. 34(10)
University of Zurich (CH), University Hospital of Zurich (CH), Krankenhaus Bethanien (DE)
Universität Zürich
Openalex Percentile: Top 13%
Cancer survivorship and care
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