ArticleGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))2024
[Navigational health literacy of the population in Germany].
Article in Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 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, 6 citations in OpenAlex.
- [Mapping municipal psychosocial services for children and parents: access and coordination barriers in preventive care-a mixed methods study].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Article
- [Patient management and patient autonomy: An ethical tension?]Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Article
- Social disparities, navigational health literacy, and unmet needs in Germany: results of a population survey.International journal of public health · 2026Article
- Article
- Navigational health literacy and health service use among higher education students in Alentejo, Portugal - A cross-sectional study.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimMany health care systems are characterized by their high complexity and intransparency. Finding one's way through the multitude of services and finding the right place requires high navigational health literacy (NHL). NHL is defined as the ability to manoeuvre through the health care system and deal with the information required to do so. However, so far, there has been a lack of data on the population's NHL. The objective of this article is to analyse empirically the NHL in Germany and its association with socio-demographic and economic factors.
methodNHL was surveyed with an instrument (HLS
resultsApproximately 80% of the respondents showed low NHL with a mean score of 41.5 out of a possible 100 points. Those with low socio-economic resources, people of advanced age, people who had migrated to Germany or who were limited by health issues had a particularly low NHL. However, even people with good resources had a relatively low NHL. In contrast, the mean score was significantly higher among health professionals.
conclusionsIn recent years, numerous efforts have been made to reduce navigational difficulties and to better guide patients through the German health care system. However, according to the results of the study, there is still need for further action. Above all, structural measures are required: this includes the creation of sufficient, reliable information on the health care system and its organizations as well as the implementation of navigation aids, health care pathways and the creation of a health-literate health care system including organizations and health professionals that contribute to strengthening NHL in general.
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.