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Economic downturns, universal health coverage, and cancer mortality in high-income and middle-income countries, 1990–2010: a longitudinal analysis

Overview of attention for article published in The Lancet, May 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
225 news outlets
blogs
4 blogs
twitter
473 X users
facebook
24 Facebook pages
googleplus
4 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
156 Dimensions

Readers on

mendeley
240 Mendeley
citeulike
1 CiteULike
Title
Economic downturns, universal health coverage, and cancer mortality in high-income and middle-income countries, 1990–2010: a longitudinal analysis
Published in
The Lancet, May 2016
DOI 10.1016/s0140-6736(16)00577-8
Pubmed ID
Authors

Mahiben Maruthappu, Johnathan Watkins, Aisyah Mohd Noor, Callum Williams, Raghib Ali, Richard Sullivan, Thomas Zeltner, Rifat Atun

Abstract

The global economic crisis has been associated with increased unemployment and reduced public-sector expenditure on health care (PEH). We estimated the effects of changes in unemployment and PEH on cancer mortality, and identified how universal health coverage (UHC) affected these relationships. For this longitudinal analysis, we obtained data from the World Bank and WHO (1990-2010). We aggregated mortality data for breast cancer in women, prostate cancer in men, and colorectal cancers in men and women, which are associated with survival rates that exceed 50%, into a treatable cancer class. We likewise aggregated data for lung and pancreatic cancers, which have 5 year survival rates of less than 10%, into an untreatable cancer class. We used multivariable regression analysis, controlling for country-specific demographics and infrastructure, with time-lag analyses and robustness checks to investigate the relationship between unemployment, PEH, and cancer mortality, with and without UHC. We used trend analysis to project mortality rates, on the basis of trends before the sharp unemployment rise that occurred in many countries from 2008 to 2010, and compared them with observed rates. Data were available for 75 countries, representing 2·106 billion people, for the unemployment analysis and for 79 countries, representing 2·156 billion people, for the PEH analysis. Unemployment rises were significantly associated with an increase in all-cancer mortality and all specific cancers except lung cancer in women. By contrast, untreatable cancer mortality was not significantly linked with changes in unemployment. Lag analyses showed significant associations remained 5 years after unemployment increases for the treatable cancer class. Rerunning analyses, while accounting for UHC status, removed the significant associations. All-cancer, treatable cancer, and specific cancer mortalities significantly decreased as PEH increased. Time-series analysis provided an estimate of more than 40 000 excess deaths due to a subset of treatable cancers from 2008 to 2010, on the basis of 2000-07 trends. Most of these deaths were in non-UHC countries. Unemployment increases are associated with rises in cancer mortality; UHC seems to protect against this effect. PEH increases are associated with reduced cancer mortality. Access to health care could underlie these associations. We estimate that the 2008-10 economic crisis was associated with about 260 000 excess cancer-related deaths in the Organisation for Economic Co-operation and Development alone. None.

X Demographics

X Demographics

The data shown below were collected from the profiles of 473 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Portugal 1 <1%
Chile 1 <1%
Ecuador 1 <1%
Korea, Republic of 1 <1%
Rwanda 1 <1%
Spain 1 <1%
Unknown 231 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 22%
Student > Ph. D. Student 27 11%
Student > Master 26 11%
Other 21 9%
Student > Bachelor 18 8%
Other 51 21%
Unknown 44 18%
Readers by discipline Count As %
Medicine and Dentistry 92 38%
Social Sciences 15 6%
Economics, Econometrics and Finance 15 6%
Nursing and Health Professions 12 5%
Agricultural and Biological Sciences 9 4%
Other 38 16%
Unknown 59 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2113. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2023.
All research outputs
#4,249
of 25,761,363 outputs
Outputs from The Lancet
#187
of 42,993 outputs
Outputs of similar age
#39
of 351,727 outputs
Outputs of similar age from The Lancet
#2
of 468 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 42,993 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,727 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 468 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.