[Outpatient Psychosocial Cancer Care at a University Medical Center - Study Results Concerning Patient Characteristics and Care Needs]. / Psychosoziale Versorgung von Krebspatienten in einer Krebsberatungsstelle an einem Universitätsklinikum.

BACKGROUND: Psychosocial care for cancer patients has gained importance in recent years and psycho-oncological counselling centers (POCC's) offer a wide range of services in this area. We investigated the scope and content of a POCC at a university medical center. METHODS: The presented data were collected at the POCC at University Medical Center Leipzig in 2014. In total, 469 cancer patients participated (mean age 60 years, 67% female, 36% breast cancer). Psychosocial distress and psychopathology were assessed with the PHQ-9, GAD-7 and the NCCN Distress Thermometer. Descriptive statistics were analyzed. RESULTS: 1 in 4 patients (24%) reported at least moderate levels of depressive symptoms. Patients with hematological malignancies and head and neck tumors showed stronger depressive symptoms. 15% of patients suffered from elevated levels of anxiety. The average number of reported problems on the Distress Thermometer and Problem List was 14 out of 39. Physical and psychosocial problems were most prevalent (e. g. fatigue, problems getting around, anxiety). Supportive care needs were less common than reported problems. CONCLUSIONS: We found that a close network of POCS, oncological inpatient and outpatient care can help direct patients toward psychosocial care at an early stage. Psychosocial screening enables psycho-oncologists to identify problem areas and offer tailored counselling services.

Early retirement in cancer patients with or without comorbid mental health conditions: a prospective cohort study.

BACKGROUND: The authors investigated whether cancer patients who have comorbid mental health disorders (MD) are at greater risk of early retirement compared with those who do not have MD. METHODS: Individuals ages 18 to 55 years from a consecutive sample of patients who were admitted for inpatient oncologic treatment were interviewed using structured clinical interviews to ascertain MD. The patients were followed for 15 months, and the date of early retirement was documented. Rates of early retirement per 100 person-years (py) in patients with and without MD were compared using multivariate Poisson regression models. RESULTS: At baseline, 491 patients were interviewed, and 150 of those patients (30.6%) were diagnosed with MD. Forty-one patients began full early retirement during follow-up. In patients with MD, the incidence of early retirement was 9.3 per 100 py compared with 6.1 per 100 py in mentally healthy patients. The crude rate ratio (RR) was 1.5 (95% confidence interval [CI], 0.8-2.8). The effect of MD on early retirement was modified in part by income: in patients with low income, the adjusted RR was 11.7, whereas no effect was observed in higher income groups. Patients with depression were at greater risk of retirement when they had higher income (RR, 3.4; P = .05). The effects of anxiety (RR, 2.4; P = .05), adjustment disorders (RR, 1.7; P = .21), and alcohol dependence (RR, 1.8; P = .40) on early retirement were equal across income groups. CONCLUSIONS: Mental health conditions are risk factors for early retirement in cancer patients, although this effect differs according to the type of disorder and the patient's income level.