Patients in palliative care-Development of a predictive model for anxiety using routine data

Journal article

Publication Details

Author(s): Hofmann S, Heß S, Klein C, Lindena G, Radbruch L, Ostgathe C
Journal: PLoS ONE
Publication year: 2017
Volume: 12
Journal issue: 8
Pages range: e0179415
ISSN: 1932-6203


Anxiety is one of the most common psychological symptoms in patients in a palliative care situation. This study aims to develop a predictive model for anxiety using data from the standard documentation routine.Data sets of palliative care patients collected by the German quality management benchmarking system called Hospice and Palliative Care Evaluation (HOPE) from 2007 to 2011 were randomly divided into a training set containing two-thirds of the data and a test set with the remaining one-third. We dichotomized anxiety levels, proxy rated by medical staff using the validated HOPE Symptom and Problem Checklist, into two groups with no or mild anxiety versus moderate or severe anxiety. Using the training set, a multivariable logistic regression model was developed by backward stepwise selection. Predictive accuracy was evaluated by the area under the receiver operating characteristic curve (AUC) based on the test set.An analysis of 9924 data sets suggests a predictive model for anxiety in patients receiving palliative care which contains gender, age, ECOG, living situation, pain, nausea, dyspnea, loss of appetite, tiredness, need for assistance with activities of daily living, problems with organization of care, medication with sedatives/anxiolytics, antidepressants, antihypertensive drugs, laxatives, and antibiotics. It results in a fair predictive value (AUC = 0.72).Routinely collected data providing individual-, disease- and therapy-related information contain valuable information that is useful for the prediction of anxiety risks in patients receiving palliative care. These findings could thus be advantageous for providing appropriate support for patients in palliative care settings and should receive special attention in future research.

FAU Authors / FAU Editors

Aust, Stephanie Dr. med.
Anästhesiologische Klinik
Ostgathe, Christoph Prof. Dr.
Abteilung für Palliativmedizin

External institutions with authors

CLARA Klinische Forschung
Universitätsklinikum Bonn

How to cite

Hofmann, S., Heß, S., Klein, C., Lindena, G., Radbruch, L., & Ostgathe, C. (2017). Patients in palliative care-Development of a predictive model for anxiety using routine data. PLoS ONE, 12(8), e0179415.

Hofmann, Sonja, et al. "Patients in palliative care-Development of a predictive model for anxiety using routine data." PLoS ONE 12.8 (2017): e0179415.


Last updated on 2018-04-10 at 14:59