I get tired for no reason: a single item screening for cancer-related fatigue.

This study examined the criterion validity and sensitivity and specificity of a single item to rapidly screen patients in ambulatory oncology clinics for cancer-related fatigue. In an effort to expand the utility of the Zung Self-Rating Depression Scale (ZSDS) as a screen for other symptoms, the utility of the single fatigue item was examined. The fatigue item reads "I get tired for no reason" and is rated on a four-point scale ranging from "none or a little of the time" to "most or all of the time." Fifty-two subjects were administered the Zung, the Functional Assessment of Cancer Therapy-Anemia (FACT-An) scale, and the Fatigue Symptom Inventory (FSI). The Zung item was highly correlated with the ZSDS (r= 0.63, p < 0.0001) and the FACT-An (r = -0.70, p < 0.0001), as well as to the individual items of the FSI, ranging from 0.41 (p < 0.003) to 0.71 (p < 0.0001). All 10 subjects considered to be depressed based on the ZSDS were also considered to fatigued on the FACT-An. Setting the ZSDS item cutoff point at level 3--"A good part of the time"--yielded a sensitivity of 78.95% and a specificity of 87.88%. It is concluded that a single item can be a fast and accurate way of screening cancer patients for fatigue to trigger additional follow-up, thus expanding the utility of a depression screening tool for problems other than the purely psychiatric.

An attempt to employ the Zung Self-Rating Depression Scale as a "lab test" to trigger follow-up in ambulatory oncology clinics: criterion validity and detection.

We examined issues of criterion validity and detection of depression employing the Zung Self-Rating Depression Scale (ZSDS) as a "lab test" to trigger follow-up interviews of ambulatory oncology patients by oncology staff and the possibility of subsequent algorithm-based antidepressant treatment. Sixty oncology patients were screened with the ZSDS and then interviewed using the Mini-International Neuropsychiatric Interview (MINI). We examined the sensitivity and specificity of various cutoffs on the ZSDS and a briefer version, the Brief Zung Self-Rating Depression Scale (BZSDS) as they predicted results of the MINI, which was used as the criterion. Mean age of patients was 58.3 years (SD = 11.9). Thirty-two were female (53.3%) and 28 were male (46.7%). The correlation of the ZSDS (r = -0.66, P <.0001) and BZSDS (r = -0.57, P <.0001) with the MINI overall suggested acceptable levels of criterion validity. Additionally, we examined various cutoff scores on the ZSDS and BZSDS to explore the false negative and false positive rates that are associated with each. For example, using the mild cutoff on the Zung (score > 48) to determine depression or adjustment disorder, 14 false negatives and 2 false positives were found. When the more stringent moderate cutoff (score > 56) was used, 25 false negatives and 0 false positives were found. Oncology staff can utilize such data to make decisions about where to set cut-offs that trigger follow-up based on the amount of error that is allowable in their attempts to identify depressive symptoms in their patients. We discuss that such decisions might be based on many factors including the resources available in a particular site for follow-up or the comfort of particular oncologists and nurses managing and prescribing psychotropic medications, or in providing supportive counseling.

Oncology staff recognition of depressive symptoms on videotaped interviews of depressed cancer patients: implications for designing a training program.

We examined oncologists' and nurses' ability to recognize depressive symptoms in two cancer patients who were interviewed on videotape. The study was conducted in a rural community, hospital-based outreach network. Staff were given a one-hour in-service on the use of the Mini International Neuropsychiatric Interview (MINI)-a brief diagnostic interview-to provide a differential diagnosis (no psychiatric diagnosis, major depressive disorder, or adjustment disorder with depressed mood). Next, the staff viewed a videotape of an investigator (S.P.) utilizing the MINI to interview two depressed breast cancer patients. Staff subsequently rated depressive symptoms on the MINI and made a diagnosis. Findings indicated a high concordance among staff regarding symptom ratings on a straightforward example of major depressive disorder. Concordance on diagnosis, severity level, and specific symptoms declined slightly on a more difficult case involving primarily cognitive symptoms and a diagnosis of adjustment disorder. Following brief didactic training on depressive disorders, oncologists and nurses were able to identify depressive symptoms in cancer patients on videotape. Learning to use a semistructured interview can increase oncologists' awareness of depressive symptoms and may be a good training model.