| dc.contributor.author | Mansfield, Karen Laura | |
| dc.date.accessioned | 2020-07-14T16:14:31Z | |
| dc.date.available | 2020-07-14T16:14:31Z | |
| dc.date.issued | 2020-02 | |
| dc.identifier.citation | Karen Laura Mansfield , John E Gallacher , Miranda Mourby ,Mina Fazel . Five models for child and adolescent data linkage in the UK: a review of existing and proposed methods. Evid Based Ment Health 2020;23:39–44 | en |
| dc.identifier.issn | 1362-0347 | |
| dc.identifier.uri | https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/504 | |
| dc.description | This is an open access article distributed in accordance with the
Creative Commons Attribution Non Commercial (CC BY-NC
4.0) license, which
permits others to distribute, remix, adapt, build upon this work non-commercially,
and license their derivative works on different terms, provided the original work is
properly cited, appropriate credit is given, any changes made indicated, and the use
is non-commercial.
See: http:// creativecommons. org/ licenses/ by- nc/ 4. 0/. | en |
| dc.description.abstract | Over the last decade dramatic advances have been made
in both the technology and data available to better
understand the multifactorial influences on child and
adolescent health and development. This paper seeks
to clarify methods that can be used to link information
from health, education, social care and research datasets.
Linking these different types of data can facilitate
epidemiological research that investigates mental health
from the population to the patient; enabling advanced
analytics to better identify, conceptualise and address
child and adolescent needs. The majority of adolescent
mental health research is not able to maximise the
full potential of data linkage, primarily due to four key
challenges: confidentiality, sampling, matching and
scalability. By presenting five existing and proposed
models for linking adolescent data in relation to these
challenges, this paper aims to facilitate the clinical
benefits that will be derived from effective integration of
available data in understanding, preventing and treating
mental disorders. | en |
| dc.description.sponsorship | Supported by the NIHR | en |
| dc.description.uri | https://doi:10.1136/ebmental-2019-300140 | en |
| dc.language.iso | en | en |
| dc.subject | Child and Adolescent Mental Health Services (CAMHS) | en |
| dc.subject | Data Sharing | en |
| dc.title | Five models for child and adolescent data linkage in the UK: a review of existing and proposed methods | en |
| dc.type | Article | en |