Asada, Yukiko, Abel, Hannah, Skedgel, Chris ORCID: https://orcid.org/0000-0003-4989-8846 and Warner, Grace
(2017)
On effective graphic communication of health inequality: Considerations for health policy researchers.
Milbank Quarterly, 95 (4).
pp. 801-835.
ISSN 0887-378X
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Abstract
Policy Points: - Effective graphs can be a powerful tool in communicating health inequality. The choice of graphs is often based on preferences and familiarity rather than science. - According to the literature on graph perception, effective graphs allow human brains to decode visual cues easily. Dot charts are easier to decode than bar charts, and thus they are more effective. Dot charts are a flexible and versatile way to display information about health inequality. - Consistent with the health risk communication literature, the captions accompanying health inequality graphs should provide a numerical, explicitly calculated description of health inequality, expressed in absolute and relative terms, from carefully thought-out perspectives.
Item Type: | Article |
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Uncontrolled Keywords: | health inequality,graphs,communication,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Health Economics Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) |
Related URLs: | |
Depositing User: | Pure Connector |
Date Deposited: | 12 Dec 2017 14:37 |
Last Modified: | 01 Nov 2023 01:46 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/65731 |
DOI: | 10.1111/1468-0009.12300 |
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