Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review
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Chung, Youn Jin
Bagheri, Nasser
Salinas-Perez, Jose Alberto
Smurthwaite, Kayla
Walsh, Erin
Furst, Mary Anne
Rosenberg, Sebastian
Salvador-Carulla, Luis
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Pergamon Press Ltd.
Abstract
The availability of healthcare data has exponentially grown, both in quantity and complexity. The speed of this
evolution has generated new challenges for translating complex data into effective evidence-informed policy.
Visual analytics offers new capacity to analyze healthcare systems and support better decision-making. We
conducted a systematic scoping review to look for evidence of visual analytics approaches being applied to
mental healthcare systems and their use in driving policy. We found 79 relevant studies and categorized them in
two ways: by study purpose and by type of visualization. The majority (67.1%) of the studies used geographical
maps, and 11% conducted highly complex studies requiring novel visualizations. Significantly, only 15% of the
studies provided information indicating high levels of usability for policy and planning. Our findings suggest that
while visual analytics continues to evolve rapidly, there is a need to ensure this evolution reflects the practical
needs of policy makers.
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International Journal of Information Management
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Open Access
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CC BY-NC-ND license
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