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Predictors of outpatients' request for palliative care service at a medical oncology clinic of a German comprehensive cancer center.
Supportive Care in Cancer 2018 October
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.
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.
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