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Symptoms, clusters and quality of life prior to surgery for breast cancer
Author(s) -
Denieffe Suzanne,
Cowman Seamus,
Gooney Martina
Publication year - 2014
Publication title -
journal of clinical nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.94
H-Index - 102
eISSN - 1365-2702
pISSN - 0962-1067
DOI - 10.1111/jocn.12430
Subject(s) - breast cancer , quality of life (healthcare) , medicine , depression (economics) , pittsburgh sleep quality index , brief pain inventory , distress , physical therapy , hospital anxiety and depression scale , anxiety , sleep disorder , cohort study , prospective cohort study , cohort , cancer , insomnia , psychiatry , clinical psychology , chronic pain , sleep quality , macroeconomics , nursing , economics
Aims and objectives To examine the pretreatment symptoms and symptom clusters that women awaiting breast cancer surgery are experiencing and the impact of these symptoms on their quality of life. Background Most women diagnosed with breast cancer will have surgery as a first‐line treatment. The presence of presurgery symptoms may be significant in contributing to distress and impaired quality of life. While it seems that women with breast cancer may experience the symptoms of fatigue, pain, depression and sleep disturbance as a cluster, this has not yet been confirmed by empirical research in the presurgery time period. Design A multiple‐point prospective longitudinal cohort panel design is used. Methods Presurgery symptoms and quality of life were assessed using the Hospital Anxiety and Depression Scale, Insomnia Severity Index, Functional Assessment of Cancer Therapy–Fatigue, Brief Pain Inventory and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30(3). Results Participants ( n = 94, age range 30–92) experienced symptoms prior to surgery, with pain being a more prevalent symptom (35%) than fatigue (32%), sleep disturbances (25·5%) or depression (11%). global quality of life was significantly impacted on by fatigue and showed a moderate correlation with emotional functioning and a weak correlation with physical and social functioning. Hierarchical cluster analysis identified the presence of five clusters with symptoms present in differing intensities in each cluster. Conclusion In this cohort of women, healthy other than having a diagnosis of breast cancer, symptoms were impacting on quality of life. It is evident that clusters of symptoms are present presurgery that must be assessed and managed. Relevance to practice Healthcare delivery systems must ensure that early symptoms are addressed effectively in the presurgery period to improve quality of life and reduce adverse outcomes postsurgery.