Measurement tools for mental health problems and mental well-being in people with severe or profound intellectual disabilities: A systematic review

Samantha Flynn, L Vereenooghe, Richard Hastings, Dawn Adams, Sally-Anne Cooper, Nick Gore, Chris Hatton, Kerry Hood, Andrew Jahoda, Langdon P E, R McNamara, Chris Oliver, Ashok Roy, Vasiliki Totsika, Jane Waite

Research output: Contribution to journalReview article

Abstract

Mental health problems affect people with intellectual disabilities (ID) at rates similar to or in excess of the non-ID population. People with severe ID are likely to have persistent mental health problems. In this systematic review (PROSPERO 2015:CRD42015024469), we identify and evaluate the methodological quality of available measures of mental health problems or well-being in individuals with severe or profound ID. Electronic searches of ten databases identified relevant publications. Two reviewers independently reviewed titles and abstracts of retrieved records (n=41,232) and full-text articles (n=573). Data were extracted and the quality of included papers was appraised. Thirty-two papers reporting on 12 measures were included. Nine measures addressed a broad spectrum of mental health problems, and were largely observational. One physiological measure of well-being was included. The Aberrant Behavior Checklist, Diagnostic Assessment for the Severely Handicapped Scale-II and Mood, Interest and Pleasure Questionnaire are reliable measures in this population. However, the psychometric properties of six other measures were only considered within a single study – indicating a lack of research replication. Few mental health measures are available for people with severe or profound ID, particularly lacking are tools measuring well-being. Assessment methods that do not rely on proxy reports should be explored further.
Original languageEnglish
Pages (from-to)32-44
JournalClinical Psychology Review
Volume57
Early online date11 Aug 2017
DOIs
Publication statusPublished - Nov 2017

Bibliographical note

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

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