Potential profile analysis of financial toxicity and its related factors among lung cancer patients
Abstract Background Financial Toxicity (FT) is prevalent among lung cancer patients. Identifying high-risk groups and implementing comprehensive, targeted interventions can alleviate FT and improve patients’ quality of life. Hence, the objective of this study was to analyze the status and potential...
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BMC
2025-04-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-025-14076-1 |
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| author | Xu Zhang Liwei Zhang Ziyi Geng Meimei Shang Aijun Wang Xing Zheng Chao Li Tingting Zhang Hailing Yang Yuanyuan Chen |
| author_facet | Xu Zhang Liwei Zhang Ziyi Geng Meimei Shang Aijun Wang Xing Zheng Chao Li Tingting Zhang Hailing Yang Yuanyuan Chen |
| author_sort | Xu Zhang |
| collection | DOAJ |
| description | Abstract Background Financial Toxicity (FT) is prevalent among lung cancer patients. Identifying high-risk groups and implementing comprehensive, targeted interventions can alleviate FT and improve patients’ quality of life. Hence, the objective of this study was to analyze the status and potential profiles of FT in lung cancer patients and explore the related factors of FT levels in different categories of lung cancer patients. Methods A cross-sectional design was used in this study. A total of 421 patients with lung cancer hospitalized in the oncology department of a Grade A general hospital and a provincial oncology hospital in Shandong Province from October to December 2023 were selected by convenience sampling. General data questionnaires, FT scale for reported outcomes of cancer patients, Chinese version of the Quality of Life Scale for lung cancer patients, Social Support Rating Scale and simplified version of the Mental Resilience Scale were used. Potential profile analysis of FT levels in lung cancer patients was performed, and multiple logistic regression was used to analyze the related factors of FT levels in different categories. Results Among 421 lung cancer patients, the median FT (FT) score was 16 (IQR: 9–24). Latent profile analysis identified four distinct FT patterns: mild (19.5%), moderate resource-deficient (7.8%), moderate balanced (35.6%), and severe (37.1%). Multivariate analysis revealed significant associations between FT severity and hospitalization frequency, lifestyle modifications, employment status, insurance coverage, education level, social support, emotional distress, family resilience, problem-solving capacity, and social resource utilization. Conclusion FT demonstrates high prevalence and substantial heterogeneity in lung cancer patients, with over 70% experiencing moderate-to-severe levels. Clinical interventions should prioritize early screening and stratified management through psychological support, financial navigation programs, cost-containment strategies, and enhanced health literacy to alleviate economic burdens and optimize treatment outcomes. |
| format | Article |
| id | doaj-art-1c0a86f6be3b4d3fbe2541f261ad41aa |
| institution | DOAJ |
| issn | 1471-2407 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj-art-1c0a86f6be3b4d3fbe2541f261ad41aa2025-08-20T03:13:53ZengBMCBMC Cancer1471-24072025-04-0125112010.1186/s12885-025-14076-1Potential profile analysis of financial toxicity and its related factors among lung cancer patientsXu Zhang0Liwei Zhang1Ziyi Geng2Meimei Shang3Aijun Wang4Xing Zheng5Chao Li6Tingting Zhang7Hailing Yang8Yuanyuan Chen9School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversityQilu Hospital of Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversityShandong Cancer Hospital and Institute, Shandong First Medical UniversityQilu Hospital of Shandong UniversityQilu Hospital of Shandong UniversityQilu Hospital of Shandong UniversityQilu Hospital of Shandong UniversityQilu Hospital of Shandong UniversityQilu Hospital of Shandong UniversityAbstract Background Financial Toxicity (FT) is prevalent among lung cancer patients. Identifying high-risk groups and implementing comprehensive, targeted interventions can alleviate FT and improve patients’ quality of life. Hence, the objective of this study was to analyze the status and potential profiles of FT in lung cancer patients and explore the related factors of FT levels in different categories of lung cancer patients. Methods A cross-sectional design was used in this study. A total of 421 patients with lung cancer hospitalized in the oncology department of a Grade A general hospital and a provincial oncology hospital in Shandong Province from October to December 2023 were selected by convenience sampling. General data questionnaires, FT scale for reported outcomes of cancer patients, Chinese version of the Quality of Life Scale for lung cancer patients, Social Support Rating Scale and simplified version of the Mental Resilience Scale were used. Potential profile analysis of FT levels in lung cancer patients was performed, and multiple logistic regression was used to analyze the related factors of FT levels in different categories. Results Among 421 lung cancer patients, the median FT (FT) score was 16 (IQR: 9–24). Latent profile analysis identified four distinct FT patterns: mild (19.5%), moderate resource-deficient (7.8%), moderate balanced (35.6%), and severe (37.1%). Multivariate analysis revealed significant associations between FT severity and hospitalization frequency, lifestyle modifications, employment status, insurance coverage, education level, social support, emotional distress, family resilience, problem-solving capacity, and social resource utilization. Conclusion FT demonstrates high prevalence and substantial heterogeneity in lung cancer patients, with over 70% experiencing moderate-to-severe levels. Clinical interventions should prioritize early screening and stratified management through psychological support, financial navigation programs, cost-containment strategies, and enhanced health literacy to alleviate economic burdens and optimize treatment outcomes.https://doi.org/10.1186/s12885-025-14076-1Lung cancerFinancial toxicityLatent profile analysis |
| spellingShingle | Xu Zhang Liwei Zhang Ziyi Geng Meimei Shang Aijun Wang Xing Zheng Chao Li Tingting Zhang Hailing Yang Yuanyuan Chen Potential profile analysis of financial toxicity and its related factors among lung cancer patients BMC Cancer Lung cancer Financial toxicity Latent profile analysis |
| title | Potential profile analysis of financial toxicity and its related factors among lung cancer patients |
| title_full | Potential profile analysis of financial toxicity and its related factors among lung cancer patients |
| title_fullStr | Potential profile analysis of financial toxicity and its related factors among lung cancer patients |
| title_full_unstemmed | Potential profile analysis of financial toxicity and its related factors among lung cancer patients |
| title_short | Potential profile analysis of financial toxicity and its related factors among lung cancer patients |
| title_sort | potential profile analysis of financial toxicity and its related factors among lung cancer patients |
| topic | Lung cancer Financial toxicity Latent profile analysis |
| url | https://doi.org/10.1186/s12885-025-14076-1 |
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