Development of a prediction model for occupational satisfaction among cancer patients following counseling in German psychosocial cancer counseling centers
Abstract
A prognostic model was developed and internally validated to predict satisfaction with the occupational situation among cancer patients receiving psychosocial counseling regarding return to work (RTW). Data were collected from outpatient cancer counseling centers in Germany and included individuals who had sought counseling on work-related issues at different stages of their illness. Satisfaction with the occupational situation was measured using a single-item scale. LASSO regression with cross-validation and bootstrapping was applied for predictor selection. The final model ( n = 259) identified satisfaction with life, baseline satisfaction with the occupational situation, and higher household and personal income as positive predictors, while workplace conflicts and psychological distress were negative predictors. The model showed moderate predictive accuracy (R ² = 0.29, RMSE = 2.55) and good calibration-in-the-large (predicted: 5.45; observed: 5.45). The model may support the identification of cancer survivors likely to report low satisfaction with the occupational situation following psychosocial counseling. External validation is required to assess generalizability. A web-based tool was developed to support application in counseling settings.
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BibTeX
@article{lange2026development,
title = {{Development of a prediction model for occupational satisfaction among cancer patients following counseling in German psychosocial cancer counseling centers}},
author = {Hannah Lange and Tobias Kurth and Rebecca Roth and Nora Tabea Sibert and Clara Breidenbach and Sophie Klara Schellack and Nicole Ernstmann and Paula Heidkamp and Kati Hiltrop and Jannika Rother and Lina Heier and Christoph Kowalski},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-72877-1},
url = {https://www.nature.com/articles/s41598-026-72877-1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Development of a prediction model for occupational satisfaction among cancer patients following counseling in German psychosocial cancer counseling centers
AU - Hannah Lange
AU - Tobias Kurth
AU - Rebecca Roth
AU - Nora Tabea Sibert
AU - Clara Breidenbach
AU - Sophie Klara Schellack
AU - Nicole Ernstmann
AU - Paula Heidkamp
AU - Kati Hiltrop
AU - Jannika Rother
AU - Lina Heier
AU - Christoph Kowalski
PY - 2026
DA - 2026/10/02
JO - Scientific Reports
DO - 10.1038/s41598-026-72877-1
UR - https://www.nature.com/articles/s41598-026-72877-1
AB - A prognostic model was developed and internally validated to predict satisfaction with the occupational situation among cancer patients receiving psychosocial counseling regarding return to work (RTW). Data were collected from outpatient cancer counseling centers in Germany and included individuals who had sought counseling on work-related issues at different stages of their illness. Satisfaction with the occupational situation was measured using a single-item scale. LASSO regression with cross-validation and bootstrapping was applied for predictor selection. The final model ( n = 259) identified satisfaction with life, baseline satisfaction with the occupational situation, and higher household and personal income as positive predictors, while workplace conflicts and psychological distress were negative predictors. The model showed moderate predictive accuracy (R ² = 0.29, RMSE = 2.55) and good calibration-in-the-large (predicted: 5.45; observed: 5.45). The model may support the identification of cancer survivors likely to report low satisfaction with the occupational situation following psychosocial counseling. External validation is required to assess generalizability. A web-based tool was developed to support application in counseling settings.
SN - 2045-2322
ER -