Evidence map›Paper›PMID 28234987›Full record

Trial reportPloS one2017

German translation, cultural adaptation, and validation of the Health Literacy Questionnaire (HLQ).

Sandra Nolte, Richard H Osborne, Sarah Dwinger, Gerald R Elsworth, Melanie L Conrad, Matthias Rose, Martin Härter, Jörg Dirmaier, Jördis M Zill

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
19.2field-weighted citation impact, top 1% of its field
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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

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  7. Developing a validity testing plan for a patient-reported outcome measure in a new context using the argument-based approach to validity.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  8. [Measuring health literacy: methods and tools for assessing general health literacy in adults].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
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1 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 3 countries.

Sandra NolteDepartment of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-6185-9423
Richard H OsbornePopulation Health Strategic Research Centre, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.
Sarah DwingerDepartment of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Gerald R ElsworthPopulation Health Strategic Research Centre, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.
Melanie L ConradDepartment of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Matthias RoseDepartment of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Martin HärterDepartment of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jörg DirmaierDepartment of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jördis M ZillDepartment of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DEDeakin University · AUCharité - Universitätsmedizin Berlin · DEUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Health Literacy Questionnaire (HLQ), developed in Australia in 2012 using a 'validity-driven' approach, has been rapidly adopted and is being applied in many countries and languages. It is a multidimensional measure comprising nine distinct domains that may be used for surveys, needs assessment, evaluation and outcomes assessment as well as for informing service improvement and the development of interventions. The aim of this paper is to describe the German translation of the HLQ and to present the results of the validation of the culturally adapted version. The HLQ comprises 44 items, which were translated and culturally adapted to the German context. This study uses data collected from a sample of 1,058 persons with chronic conditions. Statistical analyses include descriptive and confirmatory factor analyses. In one-factor congeneric models, all scales demonstrated good fit after few model adjustments. In a single, highly restrictive nine-factor model (no cross-loadings, no correlated errors) replication of the original English-language version was achieved with fit indices and psychometric properties similar to the original HLQ. Reliability for all scales was excellent, with a Cronbach's Alpha of at least 0.77. High to very high correlations between some HLQ factors were observed, suggesting that higher order factors may be present. Our rigorous development and validation protocol, as well as strict adaptation processes, have generated a remarkable reproduction of the HLQ in German. The results of this validation provide evidence that the HLQ is robust and can be recommended for use in German-speaking populations.

trial registrationGerman Clinical Trial Registration (DRKS): DRKS00000584. Registered 23 March 2011.

Indexed as

Health LiteracyLanguageAdultAgedAged, 80 and overAustraliaChronic DiseaseCultureFemaleGermanyHealth EducationHealth Services AdministrationHumansMaleMiddle AgedPsychometrics

Identifiers

PMID28234987
PMCPMC5325258
OpenAlexW2590052980

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.