Abstract
Purpose: To identify a cut-off score for the COmprehensive Score for financial Toxicity (COST) to predict a clinical implication of a high level of financial toxicity (FT). Methods: A total of 640 cancer patients were recruited from three regional hospitals in Hong Kong. They completed a questionnaire comprising the COST measure and the Functional Assessment of Cancer Therapy - General (FACT-G) instrument. The cut-off score for the COST that predicts the lowest quartile of the FACT-G total score was identified by receiver operating characteristic (ROC) analysis. The sample was then stratified by this cut-off score, and characteristics were compared using Fisher’s exact, chi-squared or independent sample t-test. Results: The mean scores were 20.1 ± 8.8 for the COST and 71.6 ± 15.5 for the FACT-G. The ROC analysis suggested that the cut-off of 17.5 yielded an acceptable sensitivity and specificity. Characteristics of patients with a higher level of FT included being younger, having a monthly household income of < 10,000 HKD (approximately 1290 USD), being more likely not employed, having stage IV cancer and receiving targeted and/or immunotherapy. In terms of financial support, a higher proportion of these patients had discussed financial issues with health care professionals and had received financial assistance. In addition, fewer of them were covered by private health insurance. Conclusion: Our findings suggest a cut-off for the COST that can be used to screen for FT in clinical settings. In addition, while a considerable proportion of high-FT patients received targeted therapy, they often received financial assistance. There is a gap between financial hardship and assistance that warrants attention.
| Original language | English |
|---|---|
| Pages (from-to) | 6109-6117 |
| Number of pages | 9 |
| Journal | Supportive Care in Cancer |
| Volume | 29 |
| Issue number | 10 |
| Early online date | 2 Apr 2021 |
| DOIs | |
| Publication status | Published - Oct 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Health expenditures
- Health services
- Health-related quality of life
- Patient-reported outcomes
- Treatment costs
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