The Impact of Cancer Incidence on Catastrophic Health Expenditure in Iran with a Bayesian Spatio-Temporal Analysis.
Cancer incidence
Catastrophic health expenditures
Spatio-temporal model
Journal
Iranian journal of public health
ISSN: 2251-6093
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
received:
11
11
2020
accepted:
15
01
2021
entrez:
22
7
2022
pubmed:
23
7
2022
medline:
23
7
2022
Statut:
ppublish
Résumé
We investigated the impact of cancer incidence on CHE in Iran by considering spatial variation across provinces as well as temporal trends. 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. 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. 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.
Sections du résumé
Background
UNASSIGNED
We investigated the impact of cancer incidence on CHE in Iran by considering spatial variation across provinces as well as temporal trends.
Methods
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
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.
Identifiants
pubmed: 35866121
doi: 10.18502/ijph.v51i2.8697
pii: IJPH-51-438
pmc: PMC9273484
doi:
Types de publication
Journal Article
Langues
eng
Pagination
438-449Informations de copyright
Copyright © 2022 Fekri et al. Published by Tehran University of Medical Sciences.
Déclaration de conflit d'intérêts
Conflict of interest The authors declare no conflict of interest.
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