Identification of symptom clusters in cancer patients at palliative care clinic

Objective: Cancer patients often experience a large number of symptoms together. The aim of this study is to determine the symptom clusters in cancer patients at palliative care clinic. Methods: Hundred and seventy consecutive patients were enrolled in the study. Memorial Symptom Assessment Scale wa...

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Bibliographic Details
Main Authors: Gülçin Senel Özalp, Neşe Uysal, Gonca Oğuz, Nesteren Koçak, Şerife Karaca, Nihan Kadıoğulları
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Asia-Pacific Journal of Oncology Nursing
Subjects:
Online Access:http://www.apjon.org/article.asp?issn=2347-5625;year=2017;volume=4;issue=3;spage=259;epage=264;aulast=Özalp
Description
Summary:Objective: Cancer patients often experience a large number of symptoms together. The aim of this study is to determine the symptom clusters in cancer patients at palliative care clinic. Methods: Hundred and seventy consecutive patients were enrolled in the study. Memorial Symptom Assessment Scale was used for symptom assessment of the patients. Results: The most experienced symptoms by the patients during the past week before hospitalization in palliative care clinic were lack of energy (95.4%), weight loss (91.2%), lack of appetite (89.4%), pain (88.2%), dry mouth (87.6%), feeling sad (87.6%), feeling nervous (82.9%), worrying (81.2%), and feeling irritable (80.6%). Five symptom clusters were defined. First cluster: pain, feeling nervous, dry mouth, worrying, feeling irritable, weight loss; second cluster: feeling drowsy, numbness/tingling in hands/feet, difficulty in sleeping, dizziness, constipation, I do not look like myself; third cluster: nausea, vomiting; fourth cluster: shortness of breath, difficulty in swallowing, cough, change in the way food tastes; and fifth cluster: feeling bloated, problems with urination, diarrhea, itching, mouth sores, hair loss, swelling of arm or legs, change in the skin. Conclusions: We encountered various symptom clusters in advanced cancer patients. Identification of symptom clusters and knowledge of cluster composition in oncological population may particularly contribute individualization of the treatment.
ISSN:2347-5625
2349-6673