Publication

Screening for depression in cancer patients receiving radiotherapy: Feasibility and identification of effective tools in the NRG Oncology RTOG 0841 trial

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Last modified
  • 03/14/2025
Type of Material
Authors
    Lynne I. Wagner, Wake Forest School of MedicineStephanie L. Pugh, NRG Oncology Statistics and Data Management CenterWilliam Small, Loyola University ChicagoJeffrey Kirshner, Hematology-Oncology Associates of CNY CCOPKulbir Sidhu, Southeast Cancer Control Consortium CCOPMartin J. Bury, Grand Rapid Clinical Oncology ProgramAlbert S. DeNittis, Maine Line CCOPTracy E. Alpert, Hematology-Oncology Associates of CNY CCOPBinh Tran, Northern Indiana Cancer Research Consortium CCOPBeatrice F. Bloom, North Shore University Hospital CCOPJulie Mai, Mercy Hospital St. LouisAlexander Yeh, St. Vincent Anderson Regional Hospital, Inc.Kalika Sarma, Carle Cancer Center CCOPMark Becker, Columbus Community Clinical Oncology ProgramJennifer James, NRG Oncology Statistics and Data Management CenterDeborah W. Bruner, Emory University
Language
  • English
Date
  • 2017-02-01
Publisher
  • Wiley
Publication Version
Copyright Statement
  • © 2016 American Cancer Society
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0008-543X
Volume
  • 123
Issue
  • 3
Start Page
  • 485
End Page
  • 493
Grant/Funding Information
  • This project was supported by grants U10CA21661, U10CA180868, U10CA180822, and U10CA37422 from the National Cancer Institute.
  • This project was also funded in part by a grant from the Pennsylvania Department of Health.
  • The Department specifically declaims responsibility for any analyses, interpretations or conclusions.
Abstract
  • BACKGROUND: Brief tools are needed to screen oncology outpatients for depressive symptoms. METHODS: Patients starting radiotherapy for the first diagnosis of any tumor completed distress screening tools, including the 9-item Patient Health Questionnaire (PHQ-9), the 2-item Patient Health Questionnaire (PHQ-2), the National Comprehensive Cancer Network Distress Thermometer (NCCN-DT), and the Hopkins Symptom Checklist (HSCL) (25-item version). Patients exceeding validated cutoff scores and a systematic sample of patients whose screening was negative completed the Structured Clinical Interview for DSM-IV (SCID) mood disorder modules via telephone. RESULTS: Four hundred sixty-three patients from 35 community-based radiation oncology sites and 2 academic radiation oncology sites were recruited. Sixty-six percent of the 455 eligible patients (n = 299) were women, and the eligible patients had breast (45%), gastrointestinal (11%), lung (10%), gynecologic (6%), or other cancers (27%). Seventy-five (16.5%) exceeded screening cutoffs for depressive symptoms. Forty-two of these patients completed the SCID. Another 37 patients whose screening was negative completed the SCID. Among the 79 patients completing the SCID, 8 (10.1%) met the criteria for major depression, 2 (2.5%) met the criteria for dysthymia, and 6 (7.6%) met the criteria for an adjustment disorder. The PHQ-2 demonstrated good psychometric properties for screening for mood disorders with a cutoff score of ≥3 (receiver operating characteristic area under the curve [AUC], 0.83) and was comparable to the PHQ-9 ( > 9; AUC = 0.85). The NCCN-DT did not detect depression (AUC = 0.59). CONCLUSIONS: The PHQ-2 demonstrated good psychometric properties for screening for mood disorders, which were equivalent to the PHQ-9 and superior to the NCCN-DT. These findings support using the PHQ-2 to identify patients in need of further assessment for depression, which has a low prevalence but is a clinically significant comorbidity. These findings could inform the implementation of distress screening accreditation standards. Cancer 2017;123:485–493. © 2016 American Cancer Society.
Author Notes
  • Corresponding author: Lynne I. Wagner, PhD, Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston Salem, NC 27157; Fax: (336) 716‐7554; E-mail address: lywagner@wakehealth.edu
Keywords
Research Categories
  • Health Sciences, Oncology

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