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Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health

Crossref DOI link: https://doi.org/10.1186/s12916-018-1079-6

Published Online: 2018-06-18

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wolpert, Miranda

Rutter, Harry
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Text and Data Mining valid from 2018-06-18
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Article History

Received: 19 February 2018

Accepted: 17 May 2018

First Online: 18 June 2018

Ethics approval and consent to participate

: The data used in this paper derive from a Department of Health commissioned audit that was undertaken in 2011–2015. Children and families who completed questionnaires as part of this audit consented for the information in the questionnaires to be linked to other information about them and for this to be used to underpin publications. This was agreed by the Caldicott Guardian at the Department of Health. No additional ethics were sought as this was judged an audit and not a research project.

: MW was involved in the implementation of the CYP IAPT programme described here. The authors declare no other competing interests.

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