The impact of cancer incidence on catastrophic health expenditure in Iran with a Bayesian spatio-temporal analysis

Nazanin Fekri; Mahboubeh Parsaeian; Abolghasem Pourreza; Ben Swallow; Aminreza Amini; Abbas Rahimi Foroushani

doi:10.18502/ijph.v51i2.8697

The impact of cancer incidence on catastrophic health expenditure in Iran with a Bayesian spatio-temporal analysis

Nazanin Fekri
, Mahboubeh Parsaeian
, Abolghasem Pourreza
, Ben Swallow
, Aminreza Amini
, Abbas Rahimi Foroushani^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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	https://doi.org/10.18502/ijph.v51i2.8697
Publication status	Published - 1 Feb 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth
SDG 10 Reduced Inequalities

Keywords

Catastrophic health expenditures
Cancer incidence
Spatio-temporal model

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10.18502/ijph.v51i2.8697Licence: CC BY-NC

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.
Final published version, 1.79 MBLicence: CC BY-NC

https://ijph.tums.ac.ir/index.php/ijph/article/view/21637Licence: CC BY-NC

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@article{a86934142ec84391a03631474d10cb82,

title = "The impact of cancer incidence on catastrophic health expenditure in Iran with a Bayesian spatio-temporal analysis",

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.",

keywords = "Catastrophic health expenditures, Cancer incidence, Spatio-temporal model",

author = "Nazanin Fekri and Mahboubeh Parsaeian and Abolghasem Pourreza and Ben Swallow and Aminreza Amini and Foroushani, \{Abbas Rahimi\}",

year = "2022",

month = feb,

day = "1",

doi = "10.18502/ijph.v51i2.8697",

language = "English",

volume = "51",

pages = "438--449",

journal = "Iranian journal of public health",

issn = "2251-6085",

publisher = "Tehran University of Medical Sciences",

number = "2",

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TY - JOUR

T1 - The impact of cancer incidence on catastrophic health expenditure in Iran with a Bayesian spatio-temporal analysis

AU - Fekri, Nazanin

AU - Parsaeian, Mahboubeh

AU - Pourreza, Abolghasem

AU - Swallow, Ben

AU - Amini, Aminreza

AU - Foroushani, Abbas Rahimi

PY - 2022/2/1

Y1 - 2022/2/1

N2 - 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.

AB - 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.

KW - Catastrophic health expenditures

KW - Cancer incidence

KW - Spatio-temporal model

U2 - 10.18502/ijph.v51i2.8697

DO - 10.18502/ijph.v51i2.8697

M3 - Article

SN - 2251-6085

VL - 51

SP - 438

EP - 449

JO - Iranian journal of public health

JF - Iranian journal of public health

IS - 2

ER -

The impact of cancer incidence on catastrophic health expenditure in Iran with a Bayesian spatio-temporal analysis

Abstract

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Keywords

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