Screening for depressed mood in patients with cancer using the MD anderson symptom inventory: Investigation of a practical approach for the oncologist - Abstract

PURPOSE: Depression is a significant concern in outpatient oncology care, yet clinicians face practical challenges in accurately and efficiently screening patients for it. This study investigated whether a single item or multiple items from an existing multisymptom scale, the MD Anderson Symptom Inventory (MDASI), might serve as effective initial screens for depressed mood.

METHODS: Data were collected from two cohorts of patients. Cohort 1 comprised 187 patients with non-small-cell lung cancer who completed the Beck Depression Inventory II; cohort 2 comprised 281 patients with renal cell carcinoma who completed the Center for Epidemiologic Studies Depression Scale. All patients completed the MDASI. Single-item and multiple-item MDASI solutions were identified using cohort 1 and validated in cohort 2. Sensitivity and specificity of the solutions were assessed through binary linear regression; cut points were identified using receiver operating characteristic analysis.

RESULTS: The MDASI single item "sadness" was the best solution identified in cohort 1 for screening for depressed mood relative to other affective items (distress, enjoyment of life, mood). At a cut point ≥ 4 (0 to 10 scale), the "sadness" item exhibited a clinically acceptable specificity of 81.5%, sensitivity of 72.0%, a negative predictive value of 95.0%, and a positive predictive value of 37.5%. This solution was successfully validated in cohort 2.

CONCLUSION: The MDASI "sadness" item has modest sensitivity and high negative predictive value and can serve as a useful initial screen for depressed mood. This approach may improve the efficiency and acceptability of depression screening for both clinicians and patients.

Written by:
Jones D, Vichaya EG, Cleeland CS, Cohen L, Thekdi SM, Wang XS, Fisch MJ   Are you the author?
The University of Texas MD Anderson Cancer Center, Houston, TX

Reference: J Oncol Pract. 2013 Nov 26. (Epub ahead of print)
doi: 10.1200/JOP.2013.001112


PubMed Abstract
PMID: 24281151

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