Evidence map›Paper›PMID 40844687›Full record

ArticleJournal of autism and developmental disorders2025

The Effect of Different Algorithms on Prevalence of Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder in Secondary Healthcare Data in Five European Countries: A Contribution from the ConcePTION Project.

Joanne Given, Olga Paoletti, Rebecca Bromley, Elisa Ballardini, Anna-Belle Beau, Claudia Bartolini, Anthony Caillet, Alex Coldea, Christine Damase-Michel, Hywel T Evans and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

20 authors.

Joanne GivenInstitute of Nursing and Health Research, Ulster University, Belfast, UK.ORCID https://orcid.org/0000-0003-4921-1944
Olga PaolettiARS Toscana, Florence, Italy.ORCID https://orcid.org/0009-0009-0434-8745
Rebecca BromleyDivision of Neuroscience, School of Biology, Medicine and Health, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0003-4008-0917
Elisa BallardiniNeonatal Intensive Care Unit, University Hospital of Ferrara, IMER Registry (Emilia Romagna Registry of Birth Defects), Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Anna-Belle BeauToulouse University Hospital, CERPOP-SPHERE Team, Inserm, UMR 1295, Toulouse University, Toulouse, France.
Claudia BartoliniARS Toscana, Florence, Italy.ORCID https://orcid.org/0000-0001-8630-4598
Anthony CailletToulouse University Hospital, CERPOP-SPHERE Team, Inserm, UMR 1295, Toulouse University, Toulouse, France.
Alex ColdeaFaculty of Medicine, Health and Life Sciences, Swansea University, Swansea, Wales.
Christine Damase-MichelToulouse University Hospital, CERPOP-SPHERE Team, Inserm, UMR 1295, Toulouse University, Toulouse, France.ORCID https://orcid.org/0000-0001-5018-0108
Hywel T EvansFaculty of Medicine, Health and Life Sciences, Swansea University, Swansea, Wales.ORCID https://orcid.org/0000-0001-6745-4187
Sue JordanFaculty of Medicine, Health and Life Sciences, Swansea University, Swansea, Wales.ORCID https://orcid.org/0000-0002-5691-2987
Maarit K LeinonenDepartment of Data and Analytics, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0002-7631-4749
Marco ManfriniDepartment of Medical Sciences, Centre for Clinical and Epidemiological Research, Emilia Romagna Registry of Birth Defects, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0003-3154-9269
Visa MartikainenDepartment of Data and Analytics, Finnish Institute for Health and Welfare, Helsinki, Finland.
Joan K MorrisSchool of Health and Medical Sciences, City St George's University of London, London, UK.ORCID https://orcid.org/0000-0002-7164-612X
Amanda J NevilleIMER Registry (Emilia Romagna Registry of Birth Defects), University Hospital of Ferrara, Ferrara, Italy.
Hedvig NordengPharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0001-6361-2918
Aurora PucciniEmilia-Romagna Regional Center of Pharmacovigilance, Bologna, Italy.
Florence CosteSanofi, Lyon, France.ORCID https://orcid.org/0000-0001-7109-388X
Maria LoaneInstitute of Nursing and Health Research, Ulster University, Belfast, UK. ma.loane@ulster.ac.uk.ORCID http://orcid.org/0000-0002-1206-3637

Funding

Innovative Medicines Initiative 821520
6 · The paper itself

Abstract

To assess the effect on prevalence estimates of using different algorithms to identify children with attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) in healthcare data. Three algorithms were developed and run on administrative/research data in Finland, France (Haute Garonne), Italy (Emilia Romagna), Norway and Wales: (1) ≥ 1 ADHD or ASD diagnoses recorded in specialist settings, (2) ≥ 2 ADHD or ASD diagnoses recorded in primary care and (3) ≥ 1 prescription for medication to manage ADHD. Prevalence rates per 1000 children for each algorithm were calculated. 3,130,162 children (born 1996-2020) with 29,291,204 years of follow-up were included. ADHD prevalence per 1000 children in specialist settings ranged from 3.9 (Emilia Romagna) to 24.1 (Finland); and was 7.0 in primary care (Finland). Based on prescriptions, ADHD prevalence ranged from 0.1 (Emilia Romagna) to 9.9 (Haute Garonne). ASD prevalence in specialist settings ranged from 5.6 (Wales) to 9.7 (Finland), and in primary care from 1.0 (Finland) to 2.0 (Wales). Prevalence of ADHD and ASD was greater among children with longer follow-up. In Finland and Wales, 1.7% and 19.4% of children were diagnosed with ASD in primary care only respectively. The male:female ratio was 3-4:1. Whilst there was considerable geographical variation in the length of follow-up available, and prevalence of ADHD and ASD, specialist diagnoses recorded in healthcare data were key to identifying children with these disorders. These data sources can be complemented by using primary care diagnoses and prescription data to identify affected children more comprehensively.

Indexed as

Attention deficit disorder with hyperactivityAutism spectrum disorderData linkageRoutinely collected health data

Identifiers

PMID40844687

What OpenQuestion holds

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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.