Evidence map›Paper›PMID 37253368›Full record

ArticleGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))2023

[Multimorbidity and its Importance in Future Health Care in Germany: a Secondary Data Analysis Based on 67 Million Health Insurance Policy Holders].

Marie-Therese Schmitz, Johannes Maximilian Just, Klaus Weckbecker, Matthias Schmid, Eva Münster

Abstract readEnglish Abstract
In one paragraph

Article in Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 2023. 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

5 authors.

Marie-Therese SchmitzInstitut für Medizinische Biometrie, Informatik und Epidemiologie, Universitätsklinikum Bonn, Bonn, Germany.ORCID 0000-0003-1351-9381
Johannes Maximilian JustLehrstuhl für Allgemeinmedizin und Interprofessionelle Kommunikation, Universität Witten/Herdecke Department für Humanmedizin, Witten, Germany.
Klaus WeckbeckerInstitut für Allgemeinmedizin und Ambulante Gesundheitsversorgung, Universität Witten/Herdecke, Witten, Germany.
Matthias SchmidInstitut für Medizinische Biometrie, Informatik und Epidemiologie, Universitätsklinikum Bonn, Bonn, Germany.
Eva MünsterLehrstuhl für Allgemeinmedizin und Interprofessionelle Kommunikation, Universität Witten/Herdecke Department für Humanmedizin, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity is a particular challenge for health care systems. In Germany, epidemiological findings are primarily sample-based. The estimated prevalence among adults in Germany is high, but there are methodological problems, such as a lack of a uniform definition.

methodStatutory health insurance data from the information system for health care data ("Informationssystem Versorgungsdaten") of the former German Institute for Medical Documentation and Information were analyzed. A total of 67.3 million people with statutory health insurance in 2014 were included. Multimorbidity was defined by the presence of at least three chronic diseases from a list of 46 diseases per ICD-10.

resultsA total of 21,157,937 individuals, or 31.4% of the total cohort, were defined as multimorbid. In men, progression of multimorbidity occurred at the age of about 40 years, whereas the increase was seen at the age of about 35 years in women. The different disease burden varied in different age and sex groups.

conclusionA better understanding of complex disease interactions in relation to age and sex is needed. Interdisciplinary approaches with specific care concepts for multimorbidity, adapted to the chronic care model, should be explored in order to achieve an ideal care situation in Germany.

Indexed as

MultimorbiditySecondary Data AnalysisAdultChronic DiseaseDelivery of Health CareFemaleGermanyHumansInsurance, HealthMalePolicyPrevalence

Identifiers

PMID37253368
PMCPMC11248392

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.