Financial Toxicity

Published: 13 November 2023| Version 1 | DOI: 10.17632/dsktsd99g3.1
Orwa Al-Abdulla


Supplementary documents, including ethical approval, questionnaires, anonymized row data, data analysis documents, and consent form


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Data collection was performed in two stages. First, we identified the cases based on the inclusion criteria and measured the financial toxicity. Data were collected through the COST tool in November and December 2022 based on the tool guidelines (, 2021). Later, we tracked the patients for eight to ten months. The interval between the two distribution rounds was suggested to allow a sufficient period for humanitarian aid to have a discernible effect on the people's living conditions. Those who confirmed they regularly received the selected kinds of humanitarian assistance throughout the follow-up period were recruited again for another round of interviews. SPSS v25 was used for data analysis to investigate significant relationships and correlations between the demographic data and financial toxicity. Chi-squared test χ2, Fisher Exact test, and Sparsman and Pearson correlation tests were applied to measure the statistical relationship and correlation between the variables. Additionally, the Wilcoxon Signed-Rank test was used to measure the impact of humanitarian aid on financial toxicity levels because the relevant data were not normally distributed (Dexter, 2013). All statistical analyses were performed on a Confidence Interval CI level of 95% and α = 0.05.


Istanbul Medipol Universitesi


Public Health, Cancer, Health Economics, Toxicity, Medical Care in Syria, Conflict, Syria