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Record W3049149851 · doi:10.3390/healthcare8030277

The Level of Health Literacy of Seniors Living in Eastern Region of Poland. Preliminary Study

2020· article· en· W3049149851 on OpenAlexaboutno aff
Bogumiła Kosicka, Alina Deluga, Jadwiga Bąk, Justyna Chałdaś-Majdańska, Monika Bieniak, Michał Machul, Agnieszka Chrzan‐Rodak, Krzysztof Jurek, Beata Dobrowolska

Bibliographic record

VenueHealthcare · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
FundersErasmus+Cooperativa de Ensino Superior Politécnico e UniversitárioOulun Yliopisto
KeywordsHealth literacyGerontologyLiteracyHealth promotionActivities of daily livingPromotion (chess)Scale (ratio)MedicineHealth educationHealth carePsychologyPublic healthNursingGeographyPolitical sciencePhysical therapy

Abstract

fetched live from OpenAlex

Health literacy (HL) is recognised as an important, modifiable factor in the self-management and health performance of elderly people. The aim of this preliminary study was to identify and analyse the level of health literacy among the elderly living in one of the eastern regions in Poland. The cross-sectional study was conducted among a convenience sample of 200 seniors aged 65+ after cognitive pre-screening with the use of the Montreal Cognitive Assessment (MoCA) scale. To collect data, the Polish version of the HLS-EU-Q47 was used. More than half of the elderly surveyed presented problematic levels of general HL (GEN-HL), and also problematic levels of other dimensions: health care health literacy (HC-HL), disease prevention health literacy (DP-HL), and health promotion health literacy (HP-HL). The level of seniors’ HL is dependent on the level of their education, place of living, participation in activities run by Daily Center for the Elderly, and their self-assessment of health condition (p < 0.05). These results imply the important message that there is a need to create initiatives and programs improving health literacy targeted at seniors living in rural areas, those with lower levels of education, and those with poor access to activities organised by institutions supporting seniors.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.249
GPT teacher head0.494
Teacher spread0.245 · 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 teacher head, 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".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

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