The GALENOS Upper-Level Mental Health Ontology: Enabling evidence synthesis by representing the domain of mental health and associated interventions

<ns3:p> Background Synthesising mental health evidence is challenging due to fragmentation of the field, a high volume of publications and inconsistent terminology being used. Without a better overview of the evidence, developing evidence-based interventions to improve mental health is challenging. The Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) addresses these challenges by synthesising and regularly updating evidence through living systematic reviews on anxiety, depression and psychosis. This project is developing a precise classification framework, an ontology, to organise the evidence from these reviews in a data repository. This paper presents the ontology’s upper-level structure, which specifies, defines and links the classes that will organise the data identified in systematic reviews into a shared framework with a common language. Methods The development of the upper-level ontology followed five steps: (1) specifying the ontology’s scope; (2) drafting classes and relationships by reusing parts of existing ontologies and creating new classes where necessary; (3) performing a stakeholder consultation incorporating feedback from mental health experts and people with lived experience; (4) specifying relationships between classes; and (5) making the ontology machine readable and publishing it online. Results The ontology’s upper level includes 25 key classes covering research studies, human populations (including population history, persons and their personal histories), mental health interventions (encompassing both content and delivery) and intervention scenarios, which represent that interventions are delivered in specific contexts with varying plans, outcomes, mechanisms of action and levels of participant engagement. The classes are connected by nine relationship types such as <ns3:italic>participates_in</ns3:italic> and <ns3:italic>has_part.</ns3:italic> Conclusion The upper-level ontology provides a structured framework to represent key aspects of mental health and mental health interventions, supporting linking data and integrating evidence. It also lays the basis for a more elaborated ontology of mental health and interventions. </ns3:p>

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Journal
Wellcome Open Research
Published
2026-04-15
DOI
https://doi.org/10.12688/wellcomeopenres.26120.1
Primary Topic
Mental Health and Psychiatry
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article
Field-Weighted Citation Impact
0.00

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article

The GALENOS Upper-Level Mental Health Ontology: Enabling evidence synthesis by representing the domain of mental health and associated interventions

Geert Crombez, Nancy Kassam‐Adams, Micaela Santilli, Bruce F. Chorpita et al.
Wellcome Open Research
Mental Health and Psychiatry
article

The GALENOS Upper-Level Mental Health Ontology: Enabling evidence synthesis by representing the domain of mental health and associated interventions

Geert Crombez, Nancy Kassam‐Adams, Micaela Santilli, Bruce F. Chorpita, Abhijit Nadkarni, Paulina Schenk, Robert West, Jaycee Kennett, Susan Michie, Janna Hastings, Björn Gehrke, Husseini Manji, John Torous, Gin S. Malhi, Daniel S. Pine
article en

Abstract

<ns3:p> Background Synthesising mental health evidence is challenging due to fragmentation of the field, a high volume of publications and inconsistent terminology being used. Without a better overview of the evidence, developing evidence-based interventions to improve mental health is challenging. The Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) addresses these challenges by synthesising and regularly updating evidence through living systematic reviews on anxiety, depression and psychosis. This project is developing a precise classification framework, an ontology, to organise the evidence from these reviews in a data repository. This paper presents the ontology’s upper-level structure, which specifies, defines and links the classes that will organise the data identified in systematic reviews into a shared framework with a common language. Methods The development of the upper-level ontology followed five steps: (1) specifying the ontology’s scope; (2) drafting classes and relationships by reusing parts of existing ontologies and creating new classes where necessary; (3) performing a stakeholder consultation incorporating feedback from mental health experts and people with lived experience; (4) specifying relationships between classes; and (5) making the ontology machine readable and publishing it online. Results The ontology’s upper level includes 25 key classes covering research studies, human populations (including population history, persons and their personal histories), mental health interventions (encompassing both content and delivery) and intervention scenarios, which represent that interventions are delivered in specific contexts with varying plans, outcomes, mechanisms of action and levels of participant engagement. The classes are connected by nine relationship types such as <ns3:italic>participates_in</ns3:italic> and <ns3:italic>has_part.</ns3:italic> Conclusion The upper-level ontology provides a structured framework to represent key aspects of mental health and mental health interventions, supporting linking data and integrating evidence. It also lays the basis for a more elaborated ontology of mental health and interventions. </ns3:p>

Wellcome Open ResearchVol. 11
University of London (GB), HOGENT University of Applied Sciences and Arts (BE), National University of Tucumán (AR), Beth Israel Deaconess Medical Center (US), Children's Hospital of Philadelphia (US), University of California, Los Angeles (US), Royal North Shore Hospital (AU), Ghent University (BE), Yale University (US), University of Oxford (GB), London School of Hygiene & Tropical Medicine (GB), Northern Sydney Local Health District (AU), UK Dementia Research Institute (GB), The Behaviouralist (United Kingdom) (GB), Science Oxford (GB), National Institute of Mental Health (US), National Institute of Mental Health (CZ), University College London (GB), Idiap Research Institute (CH)
U.S. Department of Health and Human Services, American Foundation for Suicide Prevention, Eli Lilly and Company, AstraZeneca, McLean Hospital, Wellcome Trust, UK Research and Innovation, Public Health Wales, Fondation FondaMental, Australian Rotary Health, Fonds Wetenschappelijk Onderzoek, Universiteit Gent, National Taiwan University, Servier, Kom op tegen Kanker, Vlaamse regering, Versus Arthritis, H. Lundbeck A/S, National Institutes of Health, Stanley Center for Psychiatric Research, Broad Institute, Medical Research Council, National Health and Medical Research Council, National Institute of Mental Health, Cilag
Openalex Percentile: Top 15%
Mental Health and Psychiatry
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