Journal of Epidemiology and Global Health

Volume 4, Issue 2, June 2014, Pages 115 - 124

The global cancer divide: Relationships between national healthcare resources and cancer outcomes in high-income vs. middle- and low-income countries

Authors
Ali Batoulia, Pooya Jahanshahib, Cary P. Grossa, d, Danil V. Makarovc, James B. Yua, d, *, james.b.yu@yale.edu
aYale School of Medicine, New Haven, CT, USA
bVirginia Commonwealth University School of Medicine, Richmond, VA, USA
cUnited States Department of Veterans Affairs, Department of Urology, NYU Cancer Institute, New York University School of Medicine, New York, NY, USA
dCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center at Yale, New Haven, CT, USA
*Corresponding author at: Department of Therapeutic Radiology, Yale School of Medicine, 333 Cedar St., New Haven, CT 06520, USA. Tel.: +1 203 785 5703; fax: +1 203 785 4622.
Corresponding Author
Received 23 July 2013, Revised 29 September 2013, Accepted 30 October 2013, Available Online 28 December 2013.
DOI
10.1016/j.jegh.2013.10.004How to use a DOI?
Keywords
Cancer; Cancer mortality; Cancer incidence; Healthcare expenditure; Healthcare infrastructure; Global cancer mortality
Abstract

Background: Cancer continues to rise as a contributor to premature death in the developing world. Despite this, little is known about whether cancer outcomes are related to a country’s income level, and what aspects of national healthcare systems are associated with improved cancer outcomes.

Methods: The most recent estimates of cancer incidence and mortality were used to calculate mortality-to-incidence ratio (MIR) for the 85 countries with reliable data. Countries were categorized according to high-income (Gross Domestic Product (GDP) > $15,000) or middle/low-income (GDP < $15,000), and a multivariate linear regression model was used to determine the association between healthcare system indicators and cancer MIR. Indicators study included per capita GDP, overall total healthcare expenditure (THE), THE as a proportion of GDP, total external beam radiotherapy devices (TEBD) per capita, physician density, and the year 2000 WHO healthcare system rankings.

Results: Cancer MIR in high-income countries (0.47) was significantly lower than that of middle/low-income countries (0.64), with a p < 0.001. In high-income countries, GDP, health expenditure and TEBD showed significant inverse correlations with overall cancer MIR. A $3040 increase in GDP (p = 0.004), a $379 increase in THE (p < 0.001), or an increase of 0.59 TEBD per 100,000 population (p = 0.027) were all associated with a 0.01 decrease in cancer MIR. In middle/low-income countries, only WHO scores correlated with decreased cancer MIR (p = 0.022); 12 specific cancer types also showed similar significant correlations (p < 0.05) as overall cancer MIR.

Conclusions: The analysis of this study suggested that cancer MIR is greater in middle/low-income countries. Furthermore, the WHO healthcare score was associated with improved cancer outcomes in middle/low-income countries while absolute levels of financial resources and infrastructure played a more important role in high-income countries.

Copyright
© 2013 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd.
Open Access
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Journal
Journal of Epidemiology and Global Health
Volume-Issue
4 - 2
Pages
115 - 124
Publication Date
2013/12/28
ISSN (Online)
2210-6014
ISSN (Print)
2210-6006
DOI
10.1016/j.jegh.2013.10.004How to use a DOI?
Copyright
© 2013 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd.
Open Access
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Cite this article

TY  - JOUR
AU  - Ali Batouli
AU  - Pooya Jahanshahi
AU  - Cary P. Gross
AU  - Danil V. Makarov
AU  - James B. Yu
PY  - 2013
DA  - 2013/12/28
TI  - The global cancer divide: Relationships between national healthcare resources and cancer outcomes in high-income vs. middle- and low-income countries
JO  - Journal of Epidemiology and Global Health
SP  - 115
EP  - 124
VL  - 4
IS  - 2
SN  - 2210-6014
UR  - https://doi.org/10.1016/j.jegh.2013.10.004
DO  - 10.1016/j.jegh.2013.10.004
ID  - Batouli2013
ER  -