Purpose/Objectives The National Comprehensive Cancer Network’s Distress Thermometer (DT) has been adopted as a screening measure to identify and address psychological distress in individuals with cancer. The purpose of the present study was to establish an optimal cut off point in a large heterogeneous sample of cancer patients. A secondary purpose of the study was to examine whether distress as measured by the DT significantly changes across the treatment trajectory (i.e., diagnosis, on treatment, survivorship). Design The present investigation includes secondary analyses of baseline data from a longitudinal parent study examining a computerized psychosocial assessment. Setting Recruitment occurred at three diverse comprehensive cancer centers across the United States. Sample Eight hundred and thirty-six patients at 3 different comprehensive cancer centers with a current or past diagnosis of cancer were enrolled. Main Research Variables The BHS (Behavioral Health Status) index, as well as the DT were administered and compared using ROC analyses. Findings Results support a cutoff score of 3 on the DT to indicate patients with clinically elevated levels of distress. Further, patients who received a diagnosis within the 1-4 weeks prior to the assessment endorsed the highest levels of distress. Conclusions Providers may wish to utilize a cutoff point of 3 to most efficiently identify distress in a large, diverse population of cancer patients. Further, results indicate that patients may experience a heightened state of distress within the 1-4 weeks post-diagnosis as compared to other stages of coping with cancer. Implications for Nursing It is widely understood that nurses carry a heavy burden regarding patient care. It is often a nurse’s responsibility to screen for psychosocial distress, and using a brief technological measure of distress can help streamline this process.
OBJECTIVE Identifying risk factors for psychological distress in patients with cancer may help providers more efficiently screen, identify, and manage distress. The present paper presents predictors of psychological distress in a large heterogeneous sample of cancer patients. METHODS 836 patients were enrolled in a large RCT and completed computerized psychosocial assessments (MHADRO). RESULTS Multivariate regressions examined predictors of distress and interest in mental health services. Final models suggest that psychological distress was related to six variables and interest in mental health services was related to previous history of mental health counseling, total number of cancer related symptoms, and race/ethnicity. CONCLUSIONS Results may be used to identify high risk patients who may benefit from proactive psychosocial interventions.
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