Affiliation:
1. Department of Nursing, Graduate School, Kongju National University, Gongju 32588, Republic of Korea
2. Department of Nursing, Kongju National University, Gongju 32588, Republic of Korea
3. Division of Medical Oncology, Chungbuk National University Hospital, Cheongju 28644, Republic of Korea
Abstract
Background and Objectives: The purpose of this study is to enhance the quality of life in elderly patients with lung cancer by understanding relations of uncertainty, appraisal of uncertainty, self-efficacy, and quality of life targeting elderly patients with lung cancer receiving anticancer therapy, and also analyzing the factors affecting the quality of life based on Mishel’s theory. Materials and Methods: The subjects were a total of 112 lung cancer patients aged 65 or older receiving anticancer therapy. The data was collected by using self-report questionnaires targeting patients in hemato-oncology at Chungbuk National University Hospital. The data were analyzed using descriptive statistics, a t-test, an analysis of variance, Pearson’s correlational coefficients, and hierarchical regression analysis. Results: In stage 1, anticancer therapy (chemotherapy) (β = −0.34, p < 0.001), economic condition (low) (β = −0.30, p < 0.001), the number of anticancer therapies (three times or more) (β = −0.29, p < 0.001), and education (graduation from high school or higher) (β = 0.18, p = 0.033) were influencing factors (F = 0.52, p < 0.001). In stage 2, self-efficacy (β = 0.41, p < 0.001), appraisal of uncertainty: danger (β = −0.29, p < 0.001), appraisal of uncertainty: opportunity (β = 0.18, p = 0.018), the number of anticancer therapies (three times or more) (β = −0.17, p = 0.006), and anticancer therapy (chemotherapy) (β = −0.14, p = 0.031) were influencing factors, which showed 74.2% explanatory power (F = 26.17, p < 0.001). Conclusions: In order to improve the quality of life of subjects, it would be necessary to develop interventions for raising their self-efficacy by considering their degree of education, economic condition, the types and numbers of anticancer therapies, and understanding of the appraisal of uncertainty about the disease is assessed as an opportunity factor or a danger factor.
Reference55 articles.
1. (2023, January 21). Korean Statistical Information Service. Cancer Statistics. Available online: https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1BPA002&vw_cd=&list_id=&scrId=&seqNo=&lang_mode=ko&obj_var_id=&itm_id=&conn_path=K1.
2. National Cancer Information Center (2023, January 21). National Cancer Statistics. Available online: https://www.cancer.go.kr/lay1/program/S1T211C223/cancer/view.do?cancer_seq=5237.
3. Quality of Life in Young Adult Survivors of Childhood Cancer;Angeveld;Support Care Cancer,2002
4. Quality of Life Research: Is There a Difference in Output between the Major Cancer Types?;Sanson;Eur. J. Cancer Care,2010
5. The Relationships between Stigma, Distress, and Quality of Life in Patients with Lung Cancer;Lee;J. Korean Oncol. Nurs.,2011