Mitra Tewes1, Teresa Rettler2, Nathalie Wolf2, Jörg Hense2, Martin Schuler2,3, Martin Teufel4, Mingo Beckmann4. 1. West German Cancer Center, Department of Medical Oncology, University Hospital Essen, 45122, Essen, Germany. mitra.tewes@uk-essen.de. 2. West German Cancer Center, Department of Medical Oncology, University Hospital Essen, 45122, Essen, Germany. 3. German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45122, Essen, Germany. 4. Department of Psychosomatic Medicine and Psychotherapy, University of Duisburg Essen, LVR-Klinikum Essen, 45122, Essen, Germany.
Abstract
PURPOSE: Early integration of palliative care (PC) is recommended. The determination of predictors for patients' request for PC may guide implementation in clinical practice. Toward this end, we analyzed the symptom burden and distress of cancer patients in outpatient care and examined their need and request for PC. METHODS: Between October 2013 and March 2016, 705 patients receiving outpatient cancer treatment took part in the survey. We used the new MInimal DOcumentation System to detect symptom clusters. Additionally, patients' request for palliative and psychosocial support was assessed. Groups of patients with PC request were compared to patients without PC request regarding their symptom clusters. Logistic regression analysis was applied to discover significant predictors for the requested inclusion of PC. RESULTS: A total of 159 patients (25.5%) requested additional support by PC. Moderate and severe tiredness (40.3%), weakness (37.9%), pain (25.0%), loss of appetite (22.3%), and dyspnea (19.1%) were the most frequent symptoms. The group of patients requesting PC differed significantly in terms of pain, nausea, dyspnea, constipation, weakness, loss of appetite, tiredness, depression, and anxiety from patients without request for PC (p < .01). The perceived need for PC was identified by the significant predictors "depression," "anxiety," and "weakness" with an explained variance of 22%. CONCLUSION: Combining a standardized screening questionnaire and the assessment of patients' request for PC allows systematic monitoring for patients' need for PC in a large Medical Oncology clinic. Depression, anxiety, and weakness are predictors of requesting PC service by patients receiving outpatient cancer treatment.
PURPOSE: Early integration of palliative care (PC) is recommended. The determination of predictors for patients' request for PC may guide implementation in clinical practice. Toward this end, we analyzed the symptom burden and distress of cancerpatients in outpatient care and examined their need and request for PC. METHODS: Between October 2013 and March 2016, 705 patients receiving outpatientcancer treatment took part in the survey. We used the new MInimal DOcumentation System to detect symptom clusters. Additionally, patients' request for palliative and psychosocial support was assessed. Groups of patients with PC request were compared to patients without PC request regarding their symptom clusters. Logistic regression analysis was applied to discover significant predictors for the requested inclusion of PC. RESULTS: A total of 159 patients (25.5%) requested additional support by PC. Moderate and severe tiredness (40.3%), weakness (37.9%), pain (25.0%), loss of appetite (22.3%), and dyspnea (19.1%) were the most frequent symptoms. The group of patients requesting PC differed significantly in terms of pain, nausea, dyspnea, constipation, weakness, loss of appetite, tiredness, depression, and anxiety from patients without request for PC (p < .01). The perceived need for PC was identified by the significant predictors "depression," "anxiety," and "weakness" with an explained variance of 22%. CONCLUSION: Combining a standardized screening questionnaire and the assessment of patients' request for PC allows systematic monitoring for patients' need for PC in a large Medical Oncology clinic. Depression, anxiety, and weakness are predictors of requesting PC service by patients receiving outpatientcancer treatment.
Entities:
Keywords:
Cancer; Outpatient; Palliative care; Predictors of request; Screening tool
Authors: Jan Gaertner; Rachel Wuerstlein; Christoph Ostgathe; Peter Mallmann; Nadia Harbeck; Raymond Voltz Journal: Breast Care (Basel) Date: 2011-06-03 Impact factor: 2.860
Authors: Michael Levy; Thomas Smith; Amy Alvarez-Perez; Anthony Back; Justin N Baker; Anna C Beck; Susan Block; Shalini Dalal; Maria Dans; Thomas R Fitch; Jennifer Kapo; Jean S Kutner; Elizabeth Kvale; Sumathi Misra; William Mitchell; Diane G Portman; Todd M Sauer; David Spiegel; Linda Sutton; Eytan Szmuilowicz; Robert M Taylor; Jennifer Temel; Roma Tickoo; Susan G Urba; Elizabeth Weinstein; Finly Zachariah; Mary Anne Bergman; Jillian L Scavone Journal: J Natl Compr Canc Netw Date: 2016-01 Impact factor: 11.908
Authors: Waldemar Hahn; Katharina Schütte; Kristian Schultz; Olaf Wolkenhauer; Martin Sedlmayr; Ulrich Schuler; Martin Eichler; Saptarshi Bej; Markus Wolfien Journal: J Pers Med Date: 2022-08-04
Authors: J Frikkel; M Götte; M Beckmann; S Kasper; J Hense; M Teufel; M Schuler; M Tewes Journal: BMC Palliat Care Date: 2020-03-31 Impact factor: 3.234