Evidence map›Paper›PMID 34488899›Full record

ArticleJournal of eating disorders2021

Identification of high risk and early stage eating disorders: first validation of a digital screening tool.

Emma Bryant, Jane Miskovic-Wheatley, Stephen W Touyz, Ross D Crosby, Eyza Koreshe, Sarah Maguire

Abstract read
In one paragraph

Article in Journal of eating disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
  5. Bulimia nervosa.Nature reviews. Disease primers · 2026
    Review
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  9. Leveraging Technology to Enhance Eating Disorder Treatment Outcomes.The Psychiatric clinics of North America · 2026
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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

6 authors.

Emma BryantInsideOut Institute for Eating Disorders, Faculty of Medicine and Health, Level 2, The Charles Perkins Centre, D17, The University of Sydney, Johns Hopkins Drive, Camperdown, NSW, 2006, Australia. emma.bryant@sydney.edu.au.ORCID http://orcid.org/0000-0003-1918-6020
Jane Miskovic-WheatleyInsideOut Institute for Eating Disorders, Faculty of Medicine and Health, Level 2, The Charles Perkins Centre, D17, The University of Sydney, Johns Hopkins Drive, Camperdown, NSW, 2006, Australia.
Stephen W TouyzInsideOut Institute for Eating Disorders, Faculty of Medicine and Health, Level 2, The Charles Perkins Centre, D17, The University of Sydney, Johns Hopkins Drive, Camperdown, NSW, 2006, Australia.
Ross D CrosbySanford Center for Biobehavioral Research, Sanford Research, Fargo, ND, USA.
Eyza KoresheInsideOut Institute for Eating Disorders, Faculty of Medicine and Health, Level 2, The Charles Perkins Centre, D17, The University of Sydney, Johns Hopkins Drive, Camperdown, NSW, 2006, Australia.
Sarah MaguireInsideOut Institute for Eating Disorders, Faculty of Medicine and Health, Level 2, The Charles Perkins Centre, D17, The University of Sydney, Johns Hopkins Drive, Camperdown, NSW, 2006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEating disorders are amongst the deadliest of all mental disorders, however detection and early intervention rates remain extremely low. Current standardised screening questionnaires can be arduous or confronting and are ill-validated for online use, despite a universal shift to digital healthcare. The present study describes the development and pilot validation of a novel digital screening tool (the InsideOut Institute-Screener) for high risk and early stage eating disorders to drive early intervention and reduced morbidity.

methodsWe utilised a mixed cross-sectional and repeated measures longitudinal survey research design to assess symptom severity and recognised parameters of statistical validity. Participants were recruited through social media and traditional advertising, and through MTurk. An Eating Disorders Examination Questionnaire (EDE-Q) global score of 2.3 and assessment of eating disorder behaviours was used to determine probable ED. 1346 participants aged 14-74 (mean [SE] age 26.60 [11.14] years; 73.8% female, 22.6% male) completed the survey battery. 19% were randomised to two-week follow-up for reliability analysis.

resultsStrong positive correlations between the IOI-S and both the EDE-Q global (r CONCLUSIONS AND RELEVANCE: The present study provides excellent initial support for the psychometric validity of the InsideOut Institute digital screening tool, which has the potential to streamline early intervention in the hopes of reducing current high morbidity and mortality. Further validation should be undertaken in known clinical populations. Eating disorders are amongst the deadliest of all mental disorders, however detection and early intervention rates remain extremely low. The present study describes the initial psychometric validation of a novel digital screening tool (the InsideOut Institute Screener) for high risk and early stage eating disorders, for self-referral and/or use in primary care. 1346 participants aged 14-74 of all genders completed a survey battery designed to assess common parameters of statistical validity. Strong support was found for the screener's ability to accurately measure eating disorder risk and symptomatology. The screener was highly positively correlated with a well known and extensively validated long form self-report questionnaire for eating disorder symptomatology. This study is a pilot validation and the genesis of a project that aims ultimately to drive early intervention leading to reduced morbidity and mortality rates in this illness group.

Indexed as

AnorexiaBulimiaEating disordersPsychometricsScreeningValidation

Identifiers

PMID34488899
PMCPMC8419810

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Registered trials

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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.