Abstract
Background: We investigated the impact of cancer incidence on CHE in Iran by considering spatial variation across provinces as well as temporal trends.
Methods: Data from Household Income-Expenditure Survey were merged with cancer incidence rates during 2011-2016. We developed a Bayesian hierarchical model to explore the spatial and temporal patterns of CHE and its associated factors at provincial level. We used a Besag-York-Mollie2 prior and a random walk prior for spatial and temporal random effects respectively. All statistical analysis was carried out in R software.
Results: All-type cancer incidence (OR per SD (95% CrI) = 1.16 (1.02, 1.32)), unemployment rate (1.08 (1.01, 1.15)) and income equity (0.88 (0.81, 0.97)) have important association with CHE. Percentage of urbanization and percentage of poverty were not statistically significant.
Conclusion: The results suggest the development of new policies to protect cancer patients against financial hardship, narrow the gap in income inequality and solve the problem of high unemployment rate to reduce the level of CHE at provincial level.
| Original language | English |
|---|---|
| Pages (from-to) | 438-449 |
| Number of pages | 12 |
| Journal | Iranian journal of public health |
| Volume | 51 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Feb 2022 |
Keywords
- Catastrophic health expenditures
- Cancer incidence
- Spatio-temporal model
Access to Document
- Fekri_2022_IJPH_Impact-cancer_CC
Copyright © 2022 Fekriet al. Published by Tehran University of Medical Sciences. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.