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Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review

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  • Chung, Younjin
  • Bagheri, Nasser
  • Salinas-Perez, Jose Alberto
  • Smurthwaite, Kayla
  • Walsh, Erin
  • Furst, MaryAnne
  • Rosenberg, Sebastian
  • Salvador-Carulla, Luis

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.

Suggested Citation

  • Chung, Younjin & Bagheri, Nasser & Salinas-Perez, Jose Alberto & Smurthwaite, Kayla & Walsh, Erin & Furst, MaryAnne & Rosenberg, Sebastian & Salvador-Carulla, Luis, 2020. "Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review," International Journal of Information Management, Elsevier, vol. 50(C), pages 17-27.
    • Handle: RePEc:eee:ininma:v:50:y:2020:i:c:p:17-27
    DOI: 10.1016/j.ijinfomgt.2019.04.012
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    Cited by:

    1. Ross, Heather M. & Pine, Kathleen H. & Curran, Sarah & Augusta, Dawn, 2022. "Pathway mapping as a tool to address police use of force in behavioral health crisis," Social Science & Medicine, Elsevier, vol. 306(C).
    2. Singha, Sumanta & Arha, Himanshu & Kar, Arpan Kumar, 2023. "Healthcare analytics: A techno-functional perspective," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Funk, Tjede & Sharma, Tarang & Chapman, Evelina & Kuchenmüller, Tanja, 2022. "Translating health information into policy-making: A pragmatic framework," Health Policy, Elsevier, vol. 126(1), pages 16-23.

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