Predictive Model of Quality of Life in Patients with Head and Neck Cancer After Radiotherapy

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Published: Jun 30, 2018
Keywords:
head and neck cancer health literacy quality of life radiotherapy self-management

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Montira Khamho
Faculty of Nursing, Mahidol University, Bangkok, Thailand
Napaporn Wanitkun
Faculty of Nursing, Mahidol University, Bangkok, Thailand
Suporn Danaidutsadeekul
Faculty of Nursing, Mahidol University, Bangkok, Thailand
Kullathorn Thephamongkhol
Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand

Abstract

           Purpose: To determine the predictive power of personal factors, weight loss, health literacy, self-management, patient engagement, and perceived person-centered care on quality of life (QOL) among patients with head and neck cancer during 4-8 weeks after radiotherapy.


          Design: Predictive study.


          Methods: One hundred and ten patients with head neck cancer during 4-8 weeks after radiotherapy were randomly recruited from 3 university/college hospitals specializing in head and neck cancer treatment in the Bangkok metropolitan area. Questionnaires consisted of demographic and health data, quality of life, health literacy, self-management, patient engagement, and perceived person-centered care. Hierarchical regression analysis was applied for the analysis.


          Main findings: The result demonstrated that overall quality of life of this group of patients was in a moderate level (gif.latex?\bar{X} = .67, SD = .19) with having lower psychosocial score than physical score (gif.latex?\bar{X} = .39, SD = .19 and gif.latex?\bar{X} = .59, SD = .19, respectively). For the personal characteristic, only fatigue could significantly explain 10.5% of the variance in the quality of life (p < .01). Final model demonstrated self-management and health literacy significantly explained 36% of the variance in the quality of life (p < .001). Self-management was the factor with the highest predictive power (β = .32, p < .01). Self-management and health literacy explained the variance of quality of life above and beyond fatigue approximately 25.5%.


          Conclusion and recommendation: Nurses should find promoting activities to enhance patients’ health literacy and self-management ability along with their treatment based on their fatigue levels to help patients having good quality of life after completing the treatment course.

Article Details

How to Cite
Khamho, M., Wanitkun, N., Danaidutsadeekul, S., & Thephamongkhol, K. (2018). Predictive Model of Quality of Life in Patients with Head and Neck Cancer After Radiotherapy. Nursing Science Journal of Thailand, 36(2), 54–66. Retrieved from https://he02.tci-thaijo.org/index.php/ns/article/view/146586
Issue
Vol. 36 No. 2 (2018): JOURNAL OF NURSING SCIENCE
Section
Research Papers

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