Evidence map›Paper›PMID 40471265›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025

[Estimations of incidences of mental disorders in statutory health insurance routine data: methodology and trends from 2006 to 2022].

Thomas G Grobe, Timm Frerk, Felicitas Vogelgesang, Lukas Reitzle, Frank Jacobi, Julia Thom

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Thomas G GrobeAbteilung Gesundheitsberichterstattung und Biometrie, aQua-Institut, Maschmühlenweg 8-10, 37073, Göttingen, Deutschland. thomas.grobe@aqua-institut.de.
Timm FrerkAbteilung Gesundheitsberichterstattung und Biometrie, aQua-Institut, Maschmühlenweg 8-10, 37073, Göttingen, Deutschland.
Felicitas VogelgesangAbteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland.
Lukas ReitzleAbteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland.
Frank JacobiPsychologische Hochschule Berlin, Berlin, Deutschland.
Julia ThomAbteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRoutine data from statutory health insurance (SHI) are to be used for the surveillance of non-communicable diseases (NCDs) at the Robert Koch Institute (RKI), including for the estimation of administrative incidences of mental disorders. The aim of the study is to identify a methodology that is as sensitive and practicable as possible.

methodsUsing data available from 2005 onwards from the BARMER health insurance fund, with which approximately 10% of the German population was insured, cumulative incidences were determined for the years 2006 to 2022 after gradual exclusion of persons with previous diagnoses in 1 to 17 previous years for depression, anxiety disorders, schizophrenia spectrum disorders, and mental disorders with uniform population-based standardization by gender, age, and region of residence.

resultsWith an extension of the prior observation period, a similar relative decline in the incidence estimates can be observed for all four diagnostic groups in different observation years. From a prior observation period of two years, the values of the incidence estimators differ with further extension of the prior observation period, but relative changes and thus trends are depicted almost identically. A large proportion of the persons identified as incident already had diagnoses of other mental disorders in previous years. DISCUSSION: For the estimation of administrative incidence rates, the exclusion of persons with a previous diagnosis in two previous years appears to be sufficient to depict trends. Comparisons and interpretations of incidence estimates should only ever be made with similar prior observation and methodology. Further methodological aspects and results for the four diagnosis groups are discussed.

Indexed as

Mental DisordersNational Health ProgramsPopulation SurveillanceAdolescentAdultAgedAged, 80 and overAge DistributionChildFemaleForecastingGermanyHumansIncidenceMaleMiddle AgedAdministrative incidenceMental disordersRoutine dataSurveillanceTrends

Identifiers

PMID40471265
PMCPMC12583408

What Socratic holds

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LicenceCC BY
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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 Socratic graph.