Harmonised collection of data in youth mental health: towards large datasets

Suzie Lavoie, Kelly Allott, Paul Amminger, Cali Bartholomeusz, Maximus Berger, Michael Breakspear, Anjali K. Henders, Rico Lee, Ashleigh Lin, Patrick McGorry, Simon Rice, Lianne Schmaal, Stephen J. Wood

Research output: Contribution to journalArticle

Abstract

Objective: The current international trend is to create large datasets with existing data and/or deposit newly collected data into repositories accessible to the scientific community. These practices lead to more efficient data sharing, better detection of small effects, modelling of confounders, establishment of sample generalizability and identification of differences between any given disorders. In Australia, to facilitate such data-sharing and collaborative opportunities, the Neurobiology in Youth Mental Health Partnership was created. This initiative brings together specialised researchers from around Australia to work towards a better understanding of the cross-diagnostic neurobiology of youth mental health and the translation of this knowledge into clinical practice. One of the mandates of the partnership was to develop a protocol for harmonised prospective collection of data across research centres in the field of youth mental health in order to create large datasets. Methods: Four key research modalities were identified: clinical assessments, brain imaging, neurocognitive assessment and collection of blood samples. This paper presents the consensus set of assessments/data collection that has been selected by experts in each domain. Conclusion: The use of this core set of data will facilitate the pooling of psychopathological and neurobiological data into large datasets allowing researchers to tackle important questions requiring very large numbers. The aspiration of this transdiagnostic approach is a better understanding of the mechanisms underlying mental illnesses.

Original languageEnglish
JournalAustralian and New Zealand Journal of Psychiatry
DOIs
Publication statusE-pub ahead of print - 17 Apr 2019

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Mental Health
Neurobiology
Information Dissemination
Research Personnel
Translational Medical Research
Research
Neuroimaging
Consensus
Datasets

Cite this

Lavoie, S., Allott, K., Amminger, P., Bartholomeusz, C., Berger, M., Breakspear, M., ... Wood, S. J. (2019). Harmonised collection of data in youth mental health: towards large datasets. Australian and New Zealand Journal of Psychiatry. https://doi.org/10.1177/0004867419844322
Lavoie, Suzie ; Allott, Kelly ; Amminger, Paul ; Bartholomeusz, Cali ; Berger, Maximus ; Breakspear, Michael ; Henders, Anjali K. ; Lee, Rico ; Lin, Ashleigh ; McGorry, Patrick ; Rice, Simon ; Schmaal, Lianne ; Wood, Stephen J. / Harmonised collection of data in youth mental health : towards large datasets. In: Australian and New Zealand Journal of Psychiatry. 2019.
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Lavoie, S, Allott, K, Amminger, P, Bartholomeusz, C, Berger, M, Breakspear, M, Henders, AK, Lee, R, Lin, A, McGorry, P, Rice, S, Schmaal, L & Wood, SJ 2019, 'Harmonised collection of data in youth mental health: towards large datasets' Australian and New Zealand Journal of Psychiatry. https://doi.org/10.1177/0004867419844322

Harmonised collection of data in youth mental health : towards large datasets. / Lavoie, Suzie; Allott, Kelly; Amminger, Paul; Bartholomeusz, Cali; Berger, Maximus; Breakspear, Michael; Henders, Anjali K.; Lee, Rico; Lin, Ashleigh; McGorry, Patrick; Rice, Simon; Schmaal, Lianne; Wood, Stephen J.

In: Australian and New Zealand Journal of Psychiatry, 17.04.2019.

Research output: Contribution to journalArticle

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AU - Lavoie, Suzie

AU - Allott, Kelly

AU - Amminger, Paul

AU - Bartholomeusz, Cali

AU - Berger, Maximus

AU - Breakspear, Michael

AU - Henders, Anjali K.

AU - Lee, Rico

AU - Lin, Ashleigh

AU - McGorry, Patrick

AU - Rice, Simon

AU - Schmaal, Lianne

AU - Wood, Stephen J.

PY - 2019/4/17

Y1 - 2019/4/17

N2 - Objective: The current international trend is to create large datasets with existing data and/or deposit newly collected data into repositories accessible to the scientific community. These practices lead to more efficient data sharing, better detection of small effects, modelling of confounders, establishment of sample generalizability and identification of differences between any given disorders. In Australia, to facilitate such data-sharing and collaborative opportunities, the Neurobiology in Youth Mental Health Partnership was created. This initiative brings together specialised researchers from around Australia to work towards a better understanding of the cross-diagnostic neurobiology of youth mental health and the translation of this knowledge into clinical practice. One of the mandates of the partnership was to develop a protocol for harmonised prospective collection of data across research centres in the field of youth mental health in order to create large datasets. Methods: Four key research modalities were identified: clinical assessments, brain imaging, neurocognitive assessment and collection of blood samples. This paper presents the consensus set of assessments/data collection that has been selected by experts in each domain. Conclusion: The use of this core set of data will facilitate the pooling of psychopathological and neurobiological data into large datasets allowing researchers to tackle important questions requiring very large numbers. The aspiration of this transdiagnostic approach is a better understanding of the mechanisms underlying mental illnesses.

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