financial toxicity
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2022 ◽  
Vol 9 ◽  
Author(s):  
Tianqi Xu ◽  
Leidi Xu ◽  
Hangtian Xi ◽  
Yong Zhang ◽  
Ying Zhou ◽  
...  

Background: Lung cancer is the leading source of cancer-caused disability-adjusted life years. Medical cost burden impacts the well-being of patients through reducing income, cutting daily expenses, curtailing leisure activities, and depleting exhausting savings. The COmprehensive Score for Financial Toxicity (COST) was created and validated by De Souza and colleagues. Our study intends to measure the financial burdens of cancer therapy and investigate the link between financial toxicity and health-related quality of life (HRQoL) in an advanced lung cancer population.Methods: Patients aged ≥ 18 years with confirmed stage III to IV lung cancer were eligible. The COST questionnaire verified by de Souza et al. was used to identify financial toxicity. Multivariable linear regression analysis with log transformation univariate analysis and Pearson correlations were used to perform the analysis.Results: The majority of the patients (90.8%, n = 138/152) had an annual income of $50,000 ($7,775). The cohort's insurance situation was as follows: 64.5% of the cohort had social insurance, 20.4% had commercial insurance, and 22.0% had both. Patients who were younger age (50–59, P < 0.001), employed but on sick leave, and had lower income reported increased levels of financial toxicity (P < 0.05). The risk factors for high financial toxicity: (i) younger age (50–59), (ii) <1 month of savings, and (iii) being employed but on sick leave. Increased financial toxicity is moderately correlated with a decrease in QoL.Conclusion: Poorer psychological status and specific demographics are linked to increased financial toxicity (lower COST). Financial toxicity has a modest relationship with HRQoL and may have a clear link with HRQoL measurements.


Author(s):  
Hala T. Borno ◽  
Sylvia Zhang ◽  
Tracy Kuo Lin ◽  
Li Zhang ◽  
Nynikka R. Palmer ◽  
...  

Author(s):  
Kanan Shah ◽  
S. Yousuf Zafar ◽  
Fumiko Chino

2021 ◽  
pp. 1-16
Author(s):  
Angela B. Smith ◽  
Sean McCabe ◽  
Allison M. Deal ◽  
Amy Guo ◽  
Kathryn H. Gessner ◽  
...  

BACKGROUND: Bladder cancer treatments may variably impact health-related quality of life (QOL). OBJECTIVE: To characterize the quality of life of patients with bladder cancer at various time points across the continuum of bladder cancer care from non-muscle-invasive disease to metastatic bladder cancer and develop utility scores to inform cost-effective analyses. METHODS: We performed a cross-sectional survey of bladder cancer patients in the Bladder Cancer Advocacy Network Patient Survey Network. Participants were classified into mutually exclusive health states based upon non-muscle invasive (NMIBC), muscle-invasive (MIBC), or metastatic bladder cancer and completed surveys of generic cancer and bladder cancer-specific quality of life, financial toxicity, and work impairment. We constructed generalized linear mixed models to identify patient, clinical, and treatment factors associated with quality of life over time and derived health state utilities. RESULTS: Among 911 self-identified patients with bladder cancer, overall QOL scores and function domains were worse among those with advanced cancer. Financial toxicity was similar among non-metastatic disease states. Work and activity impairment increased with advancing disease (13%and 12%among non-recurrent NMIBC to 63%and 31%for metastatic disease respectively; p <  0.01). On multivariable analysis, bowel-related QOL was diminished among patients with MIBC, with urinary symptoms and physical function most diminished among patients with metastatic disease. Patients with metastatic and MIBC experienced worse emotional functioning (p = 0.04; p = 0.048). Health state utilities were calculated, highest among those with non-recurrent NMIBC and lowest among those with metastatic disease. CONCLUSION: Generic and bladder cancer-specific QOL diminishes with advancing disease. Health state utility estimates derived from this study can inform shared decision making with patients and may be used to inform future cost-effective analyses.


Author(s):  
Jean Edward ◽  
Victoria M. Petermann ◽  
Jan M. Eberth ◽  
Whitney E. Zahnd ◽  
Robin C. Vanderpool ◽  
...  
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2021 ◽  
Vol 30 ◽  
pp. 100308
Author(s):  
Saeed Pahlevan Sharif ◽  
Mozhgan Moshtagh ◽  
Ong Fon Sim ◽  
Navaz Naghavi ◽  
Hamid Sharif Nia

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