This paper presents an ontology of mental healthcare systems as a framework to systematically visualize in structured natural-English the dimensions, elements, and narratives of MHS research, map the emphases and gaps in the research during COVID-19, and develop a roadmap to shift the future research paradigm.
Authors
Ajay Chandra, Chanakya University, Bengaluru, Karnataka, India.
S. D. Sreeganga, Jindal School of Government and Public Policy, O.P. Jindal Global University, Sonipat, Haryana, India.
Arkalgud Ramaprasad, Professor Emeritus of Information and Decision Sciences, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Summary
The mental health effects of the Covid-19 pandemic across the globe have been significant, are ongoing, and will persist for a long time. Mental healthcare systems (MHS) to address these effects have been stressed beyond their limit. They have had to: (a) sense the developments and respond to the changing needs quickly, (b) be agile in obtaining feedback and learning from it in very short cycle times, and (c) immediately integrate their personal local experience, the reported global experience and translate the learning to practice.
This intense learning cycle has spawned an enormous corpus of research on MHS during COVID-19 and shifted the paradigm of research. Lessons from the paradigm shift should be embraced and normalized in the roadmap for MHS research post COVID-19.
This paper presents an ontology of MHS as a framework to systematically: (a) visualize in structured natural-English the dimensions, elements, and narratives of MHS research, (b) map the emphases and gaps in the research during COVID-19, and (c) develop a roadmap to shift the future research paradigm.
Published in: Urban Governance
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