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Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery

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  • Min Guo
  • Cui Wang
  • Xiumin Yin
  • Liting Nie
  • Gongchao Wang

Abstract

Aim To explore symptom clusters experienced by patients with oesophageal cancer 3 months after surgery and examine whether symptom clusters are related to demographic, clinical and quality of life variables. Background There are multiple symptoms in patients with oesophageal cancer after surgery, which seriously affect their quality of life. Exploring the mechanics of concurrent symptoms such as symptom clusters may facilitate the development of strategies to reduce the impact of these symptoms and improve quality of life. Design Cross‐sectional survey. The STROBE Statement was chosen as the EQUATOR checklist. Methods A convenience sample of 128 oesophageal cancer patients was followed up at 3 months after surgery. Participants completed the demographic questionnaire, the M. D. Anderson Symptom Inventory for Gastrointestinal Cancer, the Functional Assessment of Cancer Therapy‐General and the Connor‐Davidson Resilience Scale. Exploratory factor analysis, stepwise regression and correlation analysis were applied. Results Four symptom clusters were identified: dysphagia–psychological, chemoradiotherapy side‐effect, digestive tract reconstruction and fatigue–sleep. Gender, stage of disease and resilience influenced the dysphagia–psychological symptom cluster. Gender, stage of disease, resilience and treatment were significant factors affecting the chemoradiotherapy side‐effect and fatigue–sleep symptom clusters. Gender, stage of disease, resilience and anastomotic position were significant factors influencing the digestive tract reconstruction symptom cluster. The correlations between symptom clusters and quality of life were significant, with the highest correlation between the dysphagia–psychological cluster and quality of life. Conclusions Nurses should pay more attention to symptom management in patients with oesophageal cancer 3 months after surgery by focusing on four symptom clusters. It is necessary to implement individualised care depending on the influence factors including gender, stage of disease, resilience, treatment and anastomotic position. Relevance to clinical practice These findings will help develop targeted interventions to facilitate further symptom management for transitional nursing from the peri‐operative phase to long‐term rehabilitation.

Suggested Citation

  • Min Guo & Cui Wang & Xiumin Yin & Liting Nie & Gongchao Wang, 2019. "Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(19-20), pages 3441-3450, October.
  • Handle: RePEc:wly:jocnur:v:28:y:2019:i:19-20:p:3441-3450
    DOI: 10.1111/jocn.14935
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    References listed on IDEAS

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    1. Carmen Ward Sullivan & Heather Leutwyler & Laura B Dunn & Christine Miaskowski, 2018. "A review of the literature on symptom clusters in studies that included oncology patients receiving primary or adjuvant chemotherapy," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(3-4), pages 516-545, February.
    2. S. Sreejesh & Sanjay Mohapatra & M. R. Anusree, 2014. "Exploratory Factor and Principal Component Analysis," Springer Books, in: Business Research Methods, edition 127, chapter 0, pages 207-228, Springer.
    3. Shuanglan Lin & Yanhan Chen & Liu Yang & Jianrong Zhou, 2013. "Pain, fatigue, disturbed sleep and distress comprised a symptom cluster that related to quality of life and functional status of lung cancer surgery patients," Journal of Clinical Nursing, John Wiley & Sons, vol. 22(9-10), pages 1281-1290, May.
    4. S Sreejesh & Sanjay Mohapatra & M R Anusree, 2014. "Business Research Methods," Springer Books, Springer, edition 127, number 978-3-319-00539-3, July.
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