Abstract | OBJECTIVE: This study aimed to determine the cutoff and the specificity and sensitivity of the Emotion Thermometers (ET) in a Portuguese sample of cancer patients. METHOD: A total of 147 patients (mean age = 49.2; SD = 12.6) completed the ET, the Brief Symptom Inventory (BSI), and the Subjective Experiences of Illness Suffering Inventory. Data were collected in a cancer support institution and in a major hospital in the North of Portugal. RESULT: The optimal cutoff for the Anxiety Thermometer was 5v6 (until 5 and 6 or more), which identified 74% of the BSI-anxiety cases and 70% of noncases. The Depression Thermometer cutoff was 4v5 (until 4 and 5 or more), which identified 85% of BSI-depression cases and 82% of noncases. Cutoff for the Anger Thermometer was 4v5 (until 4 and 5 or more), which identified 83% of BSI-hostility cases and 73% of noncases; for the Distress Thermometer, the optimal cutoff was 4v5 (until 4 and 5 or more), which identified 84% of the suffering cases and 73% of noncases. Finally, for the Help Thermometer, it was 3v4 (until 3 and 4 or more), which helped to identify 93% of the suffering cases and 64% of noncases. SIGNIFICANCE OF RESULTS: Results supported the Portuguese version of the ET as an important screening tool for identifying the emotional distress in cancer patients.
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Authors | Ricardo João Teixeira, José C Machado, Sara Faria, Sónia Remondes-Costa, Tânia Brandão, Margarida Branco, Sara Moreira, M Graça Pereira |
Journal | Palliative & supportive care
(Palliat Support Care)
Vol. 18
Issue 1
Pg. 39-46
(02 2020)
ISSN: 1478-9523 [Electronic] England |
PMID | 31164179
(Publication Type: Journal Article)
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Topics |
- Adult
- Anxiety
(complications, diagnosis, psychology)
- Depression
(complications, diagnosis, psychology)
- Emotions
- Female
- Humans
- Male
- Mass Screening
(methods, statistics & numerical data)
- Medical Oncology
(instrumentation, methods)
- Middle Aged
- Neoplasms
(complications, psychology)
- Portugal
- Psychometrics
(instrumentation, methods)
- Surveys and Questionnaires
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