Predictive Factors Associated with Declining Psycho-Oncological Support in Patients with Cancer

Autor: Karoline Hecht, Moritz Philipp Günther, Johannes Kirchebner, Anna Götz, Roland von Känel, Jan Ben Schulze, Sebastian Euler
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Current Oncology, Vol 30, Iss 11, Pp 9746-9759 (2023)
Druh dokumentu: article
ISSN: 1718-7729
1198-0052
DOI: 10.3390/curroncol30110707
Popis: (1) Background: International cancer treatment guidelines recommend low-threshold psycho-oncological support based on nurses’ routine distress screening (e.g., via the distress thermometer and problem list). This study aims to explore factors which are associated with declining psycho-oncological support in order to increase nurses’ efficiency in screening patients for psycho-oncological support needs. (2) Methods: Using machine learning, routinely recorded clinical data from 4064 patients was analyzed for predictors of patients declining psycho-oncological support. Cross validation and nested resampling were used to guard against model overfitting. (3) Results: The developed model detects patients who decline psycho-oncological support with a sensitivity of 89% (area under the cure of 79%, accuracy of 68.5%). Overall, older patients, patients with a lower score on the distress thermometer, fewer comorbidities, few physical problems, and those who do not feel sad, afraid, or worried refused psycho-oncological support. (4) Conclusions: Thus, current screening procedures seem worthy to be part of daily nursing routines in oncology, but nurses may need more time and training to rule out misconceptions of patients on psycho-oncological support.
Databáze: Directory of Open Access Journals
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