Predictors of psychiatric comorbidity in cancer patients at the time of their discharge from the hospital

Abstract

Purpose:

A cancer diagnosis can have a substantial impact on one’s mental health. The present study investigated the prevalence and predictors of psychiatric comorbidities in cancer patients at the time of their discharge from the hospital. Methods:

Psychiatric comorbidities were assessed shortly before hospital discharge and half a year after hospitalization using a structured clinical interview (SCID), based on the diagnostic and statistical manual of mental disorders (DSM-IV). Frequencies at both time points were estimated using percentages and corresponding 95% confidence intervals. Predictors of mental disorders were identified using binary logistic regression models. Results:

At time of hospital discharge, 39 out of 334 patients (12%) were diagnosed with a psychiatric comorbidity, and 15 (7%) were diagnosed half a year later. Among the diagnoses, adjustment disorders (3%) were most frequent at the time of hospital release, while major depression (3%) was the most frequent 6 months later. Having a mental disorder was associated with unemployment (odds ratio (OR) 3.4, confidence interval (CI) 1.1–10.9, p = 0.04). There was no evidence that school education (OR 2.0, CI 0.4–9.0, p = 0.38), higher education (OR 0.7, CI 0.2–2.4, p = 0.60), income (OR 1.0, CI 1.0–1.0, p = 0.06), tumor stage (OR 1.1, CI 0.4–3.2, p = 0.85), type of disease (OR 0.6, CI 0.2–2.1, p = 0.47), pain (OR 1.0, CI 1.0–1.0, p = 0.15), fatigue (OR 1.0, CI 1.0–1.0, p = 0.77), or physical functioning (OR 1.0, CI 1.0–1.0, p = 0.54) were related to the presence of a psychiatric comorbidity. Conclusions:

Unemployment was associated with at least a threefold increased risk of mental disorder, which highlights the need for special attention to be given to this subgroup of cancer patients.