Purpose: Cancer patients often suffer for psychological distress, which can compromise their quality of life. Our study aimed to recognize risk classes for the development of psychosocial distress.
Methods: Three hundred seventy-two adult cancer patients were assessed by the Distress Thermometer (DT) and Problem List at the National Cancer Research Centre "Giovanni Paolo II" of Bari. We also compiled a socio-medical and clinical-medical record survey ad hoc for collecting socio-demographic information and clinical variables. To examine the interplay among the different variables and distinguish internally homogeneous subgroups of patients with diverse risks of distress, the RECursive Partitioning and Amalgamation (RECPAM) technique was used.
Results: Most of patients were female and the most frequent diagnosis was breast cancer, followed by gastro-intestinal cancer and hematological cancer. Distress was present in 43% of the sample, with a total of 156 patients with a DT > 5. The RECPAM analysis identified three distinct and homogeneous patient subgroups (RECPAM classes) with different risks of distress: diagnosis, marital status, and Eastern Cooperative Oncology Group Performance Status.
Conclusion: The use of the distress thermometer allows clinicians to identify patients with certain characteristics that may increase the risk of developing psychosocial distress. This evaluation can allow timely psychological intervention and improve the patient's therapeutic program.
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http://dx.doi.org/10.1007/s00520-019-04694-4 | DOI Listing |
J Geriatr Oncol
January 2025
Section of Hematology/Oncology, Atrium Health Wake Forest Baptist Comprehensive Cancer Center, NC, USA. Electronic address:
Introduction: Therapeutic advances have allowed more adults aged ≥60 years with acute myeloid leukemia (AML) to receive life-prolonging treatments, with improvement in overall survival. In contrast to other cancers, the onset of AML is often sudden, high-risk treatment decisions must be made quickly, and survival is often compromised due to aging-related conditions (e.g.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Psycho-Oncology, Peking University Cancer Hospital &Institute, Beijing, China.
Purpose: Early interdisciplinary supportive care (ESC), including psychological interventions, can improve the survival of patients with metastatic esophagogastric cancer (EGC). The purpose of the study was to evaluate the association between psychological factors and survival in patients with metastatic EGC.
Methods: A secondary analysis was conducted for an open-label randomized controlled trial of ESC, in which 246 patients with EGC completed a distress measure (the distress thermometer) and a depression symptom measure (the Patient Health Questionnaire-9 [PHQ-9]) at baseline before cancer treatments.
J Ren Care
March 2025
Medical Nursing Department, Faculty of Health Sciences, Izmir Bakircay University, Izmir, Turkey.
Background: Patients feel pain and distress when a needle is inserted into the fistula. This affects the comfort of patients. One of the nonpharmacological methods used to decrease pain and stress is music intervention.
View Article and Find Full Text PDFAm J Med Qual
January 2025
Sidney Kimmel Cancer Center -Jefferson Health, Philadelphia, PA.
This retrospective study aimed to describe the characteristics of cancer patients undergoing depression and distress screening at the Sidney Kimmel Cancer Center and to assess factors associated with their screening results. Data were retrieved from electronic medical records of adult Sidney Kimmel Cancer Center patients with at least one oncology encounter between January 2021 and June 2022, who underwent both depression and distress screening using the Patient Health Questionnaire-2/9 for depression and the National Comprehensive Cancer Network distress thermometer for distress during the encounter. Demographics, clinical factors, and screening results were analyzed using descriptive statistics and binary logistic regression.
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