Norbury, CF;
(2016)
Editorial: The search for core symptoms - will this help clinical decision-making?
[Editorial comment].
Journal of Child Psychology and Psychiatry
, 57
(8)
pp. 881-883.
10.1111/jcpp.12603.
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Abstract
Diagnosis is an important component of our clinical roles, and should also lead to particular treatment pathways. The diagnostic process may be challenged by co‐occurring deficits that are neither specific nor universal to the diagnosis under consideration and may well be evident across a range of other clinical conditions. How important is it to refine our instruments so that they measure unique symptoms? Will this alter or improve intervention choices? This Editorial focuses on the extent to which fine tuning diagnostic instruments improves our decisions about treatment, in the context of articles published in this issue of JCPP.
Type: | Article |
---|---|
Title: | Editorial: The search for core symptoms - will this help clinical decision-making? |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1111/jcpp.12603 |
Publisher version: | https://doi.org/10.1111/jcpp.12603 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Social Sciences, Science & Technology, Life Sciences & Biomedicine, Psychology, Developmental, Psychiatry, Psychology, Language, Disorder, Autism |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Language and Cognition |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10048030 |
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