Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up

Abstract

Objective

The number of early-onset colorectal cancer survivors (EOCRCs) is increasing. The primary aim of rehabilitation after battling cancer is to enable patients to return to work, as they constitute a significant contributor to societal productivity. A predictive model was developed to identify priority populations requiring intervention and refine responses to increase their capacity to return to work after undergoing treatment for EOCRC.

Methods

The baseline information was collected before patients were discharged at the end of their treatment course. The data of patients who returned to work were collected at 1 and 2 years after discharge. A predictive variable model was developed via binary logistic regression. The TRIPOD checklist was used.

Results

At 1 year, 64.7% of the EOCRC survivors had returned to work. Male sex, education, return to work self efficacy, re-entry readiness and social support increased the possibility of returning to work; higher levels of self-perceived fatigue and lower levels of family care decreased the possibility of returning to work within the 1-year model. At 2 years, 72.8% of the EOCRC survivors had returned to work. In the 2-year model, education, self-transcendence, return to work self efficacy, re-entry readiness and occupational environment increased the possibility of returning to work; self-perceived fatigue and psychosocial adjustment decreased the possibility of returning to work.

Conclusions

The results of this study can guide early assessment and intervention for EOCRC survivors, to facilitate their return to work.