TY - JOUR
T1 - Role of visual analytics in supporting mental healthcare systems research and policy
T2 - A systematic scoping review
AU - Chung, Younjin
AU - Bagheri, Nasser
AU - Salinas-Perez, Jose Alberto
AU - Smurthwaite, Kayla
AU - Walsh, Erin
AU - Furst, Mary Anne
AU - Rosenberg, Sebastian
AU - Salvador-Carulla, Luis
N1 - Funding Information:
Nasser Bagheri (NB) : a senior research fellow at the CMHR at the RSPH, ANU, recipient of an Australian Research Council DECRA Fellowship and leads a spatial epidemiology team and co-leads the VIDEA lab. His research has focused on chronic disease risk assessment, particularly, cardiovascular disease, diabetes, mental health and dementia with a particular interest in spatial variation and quantifying the impact of modifiable risk factors including lifestyle and built environment on chronic disease. He has recently developed his interest in mental healthcare systems engineering.
Funding Information:
This work was partially supported by ANU cross college grant, the Research School of Population Health, Australian National University (ANU) [grant numbers RPH41006 , 2018].
Publisher Copyright:
© 2019 The Authors
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Data complexity
KW - Evidence-informed decision-making
KW - Mental healthcare system
KW - Systematic scoping review
KW - Visual analytics
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85065412591&partnerID=8YFLogxK
U2 - 10.1016/j.ijinfomgt.2019.04.012
DO - 10.1016/j.ijinfomgt.2019.04.012
M3 - Article
AN - SCOPUS:85065412591
SN - 0268-4012
VL - 50
SP - 17
EP - 27
JO - International Journal of Information Management
JF - International Journal of Information Management
ER -