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Identifying patient-reported anxiety and depression in older adults with cancer

Authors :
Marianna Koczywas
Marwan Fakih
Joseph Chao
Arti Hurria
Daneng Li
Enrique Soto Perez De Celis
Leana Chien
Supriya G. Mohile
Mihaela C. Cristea
Reena Jayani
Jeanine Moreno
William Dale
Mina S. Sedrak
Sumanta K. Pal
Vincent Chung
Vani Katheria
Kemeberly Charles
Can-Lan Sun
Elsa Roberts
Source :
Journal of Clinical Oncology. 37:11556-11556
Publication Year :
2019
Publisher :
American Society of Clinical Oncology (ASCO), 2019.

Abstract

11556 Background: Anxiety and depression are associated with decreased quality of life, treatment adherence, and survival in patients with cancer. Mental Health Inventory (MHI-17) is a validated screening tool for psychological well-being, but cut points for older adults with cancer are unknown. The goal of this study is to identify cut points on MHI-17 Anxiety (MHI-A) and Depression (MHI-D) subscales which correlate with patient-reported anxiety and depression in older adults with cancer. Methods: This is a secondary analysis of baseline data from a randomized controlled trial in adults aged 65+ with solid tumors starting chemotherapy. At baseline, patients completed MHI-17. MHI-A and MHI-D were calculated (range 0-100; higher scores represent better mental health). Self-reported anxiety was obtained from single-item Linear Analog Scale Assessment (0-5 = low, 6-10 = high). Self-reported depression was obtained from Yale Depression Screen, “Do you often feel sad or depressed?” The association of MHI-A and MHI-D with the patient-reported outcomes was analyzed using logistic regression. Youden’s index was used to determine the optimal cut points for MHI-A and MHI-D for identifying patients with high anxiety and depression. Results: 458 patients (median age 71 (range 65-91), 57% female, 55% non-Hispanic white) were included in this analysis. The most common cancer types were: GI (31%), breast (19%), GU (18%), and pulmonary (16%); 75% had stage IV cancer. Twenty-four percent (N = 110) reported high anxiety and 21% (N = 97) depression. Median scores for MHI-A and MHI-D were 75 (range 0-100) and 80 (range 0-100). The optimal cut point for high anxiety on MHI-A was 65; this had an accuracy of 76.1%, a sensitivity of 71.8%, and a specificity of 77.5%. The optimal cut point for depression on MHI-D was 70; this had an accuracy of 80.1%, a sensitivity of 80.4%, and a specificity of 79.8%. Conclusions: The current study identified optimal cut points for MHI-Anxiety and MHI-Depression subscales to identify older adults with cancer starting chemotherapy with self-reported anxiety and depression. In the absence of patient-reported anxiety and depression, these cut points could be used to identify older patients with cancer at risk for poor mental health.

Details

ISSN :
15277755 and 0732183X
Volume :
37
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi...........0778a0581141211e1863abfc88aec53a
Full Text :
https://doi.org/10.1200/jco.2019.37.15_suppl.11556