Evidence map›Paper›PMID 38081174›Full record

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

[Are the assessments of individual out-of-pocket health services of the IGeL-Monitor in line with clinical guidelines?]

Monika Becker, Ute Hansen, Michaela Eikermann

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. 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

3 authors.

Monika BeckerBereich Evidenzbasierte Medizin, Medizinischer Dienst Bund, Essen, Germany.
Ute HansenBereich Evidenzbasierte Medizin, Medizinischer Dienst Bund, Essen, Germany.
Michaela EikermannBereich Evidenzbasierte Medizin, Medizinischer Dienst Bund, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe IGeL-Monitor of the Federal Medical Advisory Service in Germany evaluates the benefits and harms of individual out-of-pocket health services (in German: Individuelle Gesundheitsleistungen / IGeL). The aim of the analysis was to systematically compare IGeL-assessements with the recommendations from evidence-based guidelines.

methodTo identify guidelines, we conducted searches in guidelines databases (AWMF, Guidelines International Network and Trip database) and the websites of guideline organisations (February/March 2022). We included guidelines that were not older than 5 years. The methodological quality of the guidelines was assessed using the AGREE II instrument. We compared the recommendations with the IGeL-assessments in terms of content and grade of recommendation.

resultsWe identified 41 guidelines covering 24 IGeL-assessements. 19 (79%) assessments (nearly) were in agreement with the guideline recommendations. No comparison was possible for 5 IGeL-assessements, because, for example, the recommendations were more specific. Ten of the 13 IGeL that were rated (tendentially) negatively were also not recommended in the guidelines.

conclusionOverall, the IGeL-assessments were consistent with the recommendations of current guidelines. Accordingly, guideline groups seem to assess the evidence similarly to the IGeL-Monitor team. Insured persons should be informed honestly about the evidence, particularly for the (tendentially) negatively evaluated IGeL that are not recommended even in guidelines.

Indexed as

Health ServicesDatabases, FactualGermany

Identifiers

PMID38081174
PMCPMC10713336

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.