ESTRO 2024 - Abstract Book

S2735

Interdisciplinary - Global health

ESTRO 2024

4. Peter-Paul Pichler et al 2019 Environ. Res. Lett. 14 064004 https:// iopscience.iop.org/article/10.1088/1748 9326/ab19e1/meta. Last accessed Feb 28 2023.

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1002

Digital Poster

Depression in Radiation Oncology patients: an underestimated diagnosis?

Cyrine Mokrani, Khadija Ben Zid, Najla Attia, Alia Mousli, Rim Abidi, Chiraz Nasr

Salah Azaiz Institute, Radiotherapy, Tunis, Tunisia

Purpose/Objective:

Depression in oncology is a common morbidity and its impact on patient’s healthcare journey and quality of life is far from negligible (1,2). The prevalence of depression among Radiation Oncology patients is increasing over time but It’s detection among them is underestimated.

Material/Methods:

A survey of 40 patients undergoing radiotherapy at the Salah Azaiz Institute in Tunisia, Using an Arabic version of < The Hospital Anxiety and Depression Scale (HADS) >. This scale detects anxiety and depression with a score of 19 or more.

Results:

the majority of the population was aged over 50 years (72%), 77% of whom were men. Most patients had no family psychiatric history (70%). Only three patients had a personal psychiatric history. Head and Neck cancer was predominant (43%), followed by gynecological and urinary tumors (27%). The main treatment involved a combination of radiotherapy and chemotherapy (40%). Being unmarried or living alone is associated with depression (p<0.01). Most patients (53%) were not hospitalized. Depression was detected in 8 patients, 7 of whom were hospitalized. Patients in hospital had more depressive symptoms (p<0.016). No correlation was found between personal psychiatric history and depression. Only 16% of patients have had a psychological consultation since the announcement of their illness, and the rest are unaware of the presence of psychologists at the institute. 95% of the population reported family support. A high HADS score was associated with a less favorable clinical response to treatment in the entire population (p<0.01).