ArticleJournal of health monitoring2024
Differences in frequency between administrative and parent-reported ADHD diagnosis data of children and adolescents taking sociodemographic characteristics into account - Results from the consortium project INTEGRATE-ADHD.
Article in Journal of health monitoring, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- ADHD in Children, Adolescents, and Adults: Incidence, Prevalence, and Treatment. An Analysis of Routine Health Insurance Data.Deutsches Arzteblatt international · 2026Article
- Parental psychosocial factors associated with parental reporting of their child's administrative ADHD diagnosis - results from the consortium project INTEGRATE-ADHD.BMC psychiatry · 2025Article
- Child and youth chronic physical health conditions: a comparison of survey data and linked administrative health data in Ontario.BMC pediatrics · 2025Article
- A societal challenge with high public health relevance: ADHD in children and adolescents in Germany.Journal of health monitoring · 2024Article
- When do parents report their child's administrative ADHD diagnosis? A utilisation-based analysis from the consortium project INTEGRATE-ADHD.Journal of health monitoring · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In the project INTEGRATE-ADHD, administrative and parent-reported ADHD diagnosis data of children and adolescents were linked at person level for the first time in Germany. This contribution analyses discrepancies between the data sources, considering sociodemographic characteristics. Methods: Parents of 5,461 0- to 17-year-olds insured with the German statutory health insurance company DAK-Gesundheit in 2020, who had a confirmed administrative diagnosis of ADHD (ICD-10 F90.0-9) in at least one quarter (M1Q criterion), were surveyed online about their child's ADHD diagnosis and other health and care-related topics. Using logistic regression, associations between the presence of a parental report of the child's administrative ADHD diagnosis and sociodemographic predictors were analysed. Results: 71.6 % of parents reported their child's administrative diagnosis of ADHD in the survey. The diagnosis was significantly less likely to be reported by parents of girls, younger children, children with a migration background and children from nuclear families with both biological parents. There were no differences with regard to parental education, urbanisation (urban/rural) or density of care. Bivariate findings were confirmed in the multivariable model. Conclusions: Approximately one third of parents do not report their child's administrative diagnosis of ADHD. The likelihood of parental reporting varies according to sociodemographic factors. This should be considered when contextualising the data sources in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.