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Record W2588685882 · doi:10.1093/eurpub/ckw168.021

Health literacy under the health promotion framework: a German study case

2016· article· en· W2588685882 on OpenAlexaboutno aff
Orkan Okan, P Pinheiro, Ullrich Bauer

Bibliographic record

VenueEuropean Journal of Public Health · 2016
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsGermanHealth literacyHealth promotionLiteracyMedicineEnvironmental healthPolitical sciencePsychologyPublic healthNursingHealth carePedagogyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Background During the last 30 years the operationalization of health promotion has been an important focus for researchers and practitioners. The Nairobi declaration in 2009 navigates a step forward with the introduction of health literacy (HL). In line with this, the Health Literacy in Childhood and Adolescence Research Consortium (HLCA) is conducting evidence-based research on HL. Main objectives of HLCA include developing and evaluating strategies for effective child health promotion and analyzing the extent to which HL drives the Ottawa Charters’ action area of developing personal skills and knowledge. Methods The framework of HLCA is informed by health promotion and comprises nine subprojects committed to three work blocks on (1) basic research on HL including conceptual and methodological projects and (2)applied research on mental HL and (3) eHL. We apply collaborative team science and a mixed method approach combining quantitative research, e.g. questionnaires, online surveys, systematic reviews, and qualitative methods, e.g. ethnographic studies and observations, focus groups, cognitive interviews. Results After the first project year and critically analysing research studies on the subject, we approached ethics committees and obtained positive approvals. Currently, most projects are performing field research by applying interviews and focus groups using questionnaires (pen&paper, online survey) or implementing an HL intervention for parent-child dyads on media use. Conclusions From a public health perspective, HL is a multidimensional content and context specific concept. It applies to both an individual and a system level. HL is affected by social structures, health inequalities, risk factors, and effectiveness and sustainability of health promoting efforts. In the next two years, we will analyse our models and data and refine our approaches. Findings will be translated into policy and practice recommendations for child health promotion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.220
GPT teacher head0.526
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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