Evidence map›Paper›PMID 41662871›Full record

ArticleGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))2026

[Utilisation Of Dental And Medical Care Among Children And Adolescents With And Without Special Support Needs].

Laura Krause, Stefanie Seeling, Peter Schmidt, Franziska Prütz

Abstract readEnglish Abstract
In one paragraph

Article in Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Laura KrauseAbteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Germany.ORCID 0000-0003-2268-0142
Stefanie SeelingAbteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Germany.ORCID 0000-0002-1597-7258
Peter SchmidtZentrum für Zahn-, Mund- und Kieferheilkunde, Klinik für Zahnerhaltungskunde und Parodontologie (ZMK I), Universitätsklinikum Ulm, Ulm, Germany.ORCID 0000-0002-5700-3144
Franziska PrützAbteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children and adolescents with special support needs, i. e. with disabilities, special educational needs and impairments, are a heterogeneous group with different health situations and needs. This article examines to what extent these health-related needs are reflected in the self-reported utilisation of dental and medical care, also in comparison to children and adolescents without special support needs.The database for this work is the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2, 2014-2017). The following utilisation indicators were used for the analyses: dental check-up, orthodontic treatment, dental services overall, pediatrics, internal medicine, ophthalmology, otolaryngology, orthopedics, as well as psychiatric, psychotherapeutic and psychological services. Prevalences, univariable and multivariable prevalence ratios were calculated, which were controlled for sex, age and socioeconomic status of the family, as well as

Indexed as

Children with DisabilitiesDental Care for ChildrenDental Care for Persons with DisabilitiesPatient Acceptance of Health CareAdolescentChildChild, PreschoolFemaleGermanyHealth Services Needs and DemandHumansInfantMaleUndertreatmentUtilization Review

Identifiers

PMID41662871
PMCPMC12885626

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.