Evidence map›Paper›PMID 33098262›Full record

ArticleAutism research : official journal of the International Society for Autism Research2021

Identifying Children and Youth With Autism Spectrum Disorder in Electronic Medical Records: Examining Health System Utilization and Comorbidities.

Jennifer D Brooks, Susan E Bronskill, Longdi Fu, Farah E Saxena, Jasleen Arneja, Virgiliu Bogdan Pinzaru, Evdokia Anagnostou, Kirk Nylen, John McLaughlin, Karen Tu

Open access · hybridAbstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  16. Identification of two novel autism genes,Frontiers in psychiatry · 2023
    Article
  17. A practical approach to identifying autistic adults within the electronic health record.Autism research : official journal of the International Society for Autism Research · 2023
    Article
  18. Article
  19. Review
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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

10 authors at 3 institutions in 1 country.

Jennifer D BrooksDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-7574-4256
Susan E BronskillDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Longdi FuICES, Toronto, Ontario, Canada.
Farah E SaxenaICES, Toronto, Ontario, Canada.
Jasleen ArnejaDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-1913-6699
Virgiliu Bogdan PinzaruICES, Toronto, Ontario, Canada.
Evdokia AnagnostouHolland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada.
Kirk NylenOntario Brain Institute, Toronto, Ontario, Canada.
John McLaughlinDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Karen TuDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CAInstitute for Clinical Evaluative Sciences · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder requiring significant health and educational resources for affected individuals. A reference standard for ASD was generated from an existing population-based cohort of 10,000 children and youth aged 1-24 years who were randomly selected for chart abstraction from 29,256 patients from 119 family physicians. We developed and validated an algorithm to identify children and youth with ASD within an electronic medical record system (N = 80,237, aged 1-24 years) in order to examine the prevalence of comorbidities and quantify health system utilization within the cohort. We identified 1,062 children and youth with ASD representing a prevalence of 1.32%. Compared to individuals without ASD, those with ASD had a higher prevalence of asthma, were more likely to visit a specialist, undergo surgery, and be hospitalized for psychiatric reasons. Children and youth with ASD in Ontario have complex health system needs, illustrated through a significant burden of comorbidities and increased health system utilization. LAY SUMMARY: Our paper generates population-based estimates of health system use by children and youth with ASD, who have a higher burden of comorbidities than the general population. We developed a case-finding algorithm and applied it in electronic medical records to create a cohort of children and youth with ASD, thereby generating an important resource to further study the health care needs of individuals with ASD.

Indexed as

Autism Spectrum DisorderAdolescentChildChild, PreschoolComorbidityElectronic Health RecordsFemaleHumansInfantMaleOntarioPrevalenceYoung AdultalgorithmASDautismcomorbidityelectronic medical recordhealth system use

Identifiers

PMID33098262
PMCPMC7894325
OpenAlexW3093939175

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.