Evidence map›Paper›PMID 29360200›Full record

SynthesisAutism research : official journal of the International Society for Autism Research2018

Measurement properties of tools used to assess depression in adults with and without autism spectrum conditions: A systematic review.

S A Cassidy, L Bradley, E Bowen, S Wigham, J Rodgers

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Autism research : official journal of the International Society for Autism Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
18.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 142 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Systematic review of the measurement properties of the Depression Anxiety Stress Scales-21 by applying updated COSMIN methodology.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

S A CassidySchool of Psychology, University of Nottingham, UK.ORCID 0000-0003-1982-3034
L BradleyCentre for Innovative Research Across the Life Course, Coventry University, UK.
E BowenCentre for Violence Prevention, University of Worcester, UK.
S WighamInstitute of Neuroscience, Newcastle University, UK.
J RodgersInstitute of Neuroscience, Newcastle University, UK.
The Neurosciences Foundation · GBCoventry University · GBUniversity of Nottingham · GBUniversity of Worcester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is the most commonly experienced mental health condition in adults with autism spectrum conditions (ASC). However, it is unclear what tools are currently being used to assess depression in ASC, or whether tools need to be adapted for this group. This systematic review therefore aimed to identify tools used to assess depression in adults with and without ASC, and then evaluate these tools for their appropriateness and measurement properties. Medline, PsychINFO and Web of Knowledge were searched for studies of depression in: (a) adults with ASC, without co-morbid intellectual disability; and (b) adults from the general population without co-morbid conditions. Articles examining the measurement properties of these tools were then searched for using a methodological filter in PubMed, and the quality of the evidence was evaluated using the COSMIN checklist. Twelve articles were identified which utilized three tools to assess depression in adults with ASC, but only one article which assessed the measurement properties of one of these tools was identified and thus evaluated. Sixty-four articles were identified which utilized five tools to assess depression in general population adults, and fourteen articles had assessed the measurement properties of these tools. Overall, two tools were found to be robust in their measurement properties in the general population-the Beck Depression Inventory (BDI-II), and the patient health questionnaire (PHQ-9). Crucially only one study was identified from the COSMIN search, which showed weak evidence in support of the measurement properties of the BDI-II in an ASC sample. Implications for effective measurement of depression in ASC are discussed. Autism Res 2018, 11: 738-754. © 2018 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc. LAY SUMMARY: Depression is the most common mental health problem experienced by adults with autism. However, the current study found very limited evidence regarding how useful tools developed for the general population are for adults with autism. We therefore suggest how these tools could be adapted to more effectively assess depression in adults with autism, and improve these individuals access to mental health assessment and support.

Indexed as

Surveys and QuestionnairesAdolescentAdultAgedAutism Spectrum DisorderDepressive DisorderFemaleHumansInterview, PsychologicalMaleMiddle AgedProspective StudiesSelf ReportAsperger syndromeassessmentautism spectrum conditionCOSMINdepressiongeneral populationmeasurement propertiessystematic review

Identifiers

PMID29360200
PMCPMC6001465
OpenAlexW2783826777

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.