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Record W4404277166 · doi:10.18502/kss.v9i31.17561

Health Promotion Activity in the Community -- Scoping Reviewed

2024· article· en· W4404277166 on OpenAlexaboutno aff
Áureo Frutalegio da Costa Freitas, María Manuela Martins, Maria Jo ao Oliveira, Augusto Da Costa

Bibliographic record

VenueKnE Social Sciences · 2024
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsPromotion (chess)Health promotionBusinessPublic relationsMedicinePolitical scienceNursingPublic health

Abstract

fetched live from OpenAlex

Health promotion is a multidisciplinary field that aims to improve the health and well-being of people not only by treating diseases, but also by promoting healthy lifestyles, preventing diseases, and addressing social, economic, and environmental factors that affect health. However, the meaning may vary according to the perspective of different actors and professionals. Scoping review, using the Medical Literature Analysis and Retrieval System Online – US National Library of Medicine’s, for the articles that were published between January 1, 2018 and September 1, 2023, following the analysis procedures: title, summary reading, and total readership. The most mentioned activity in the 24 articles is health promotion associated with prevention in the community, with the home being the most referenced context. Based on Joanna Briggs’ Hierarchy of Evidence model, Institute, Redenç ao, indicates 5 levels of studies, namely: experimental studies, quasi-experimental studies, observational analytical studies, observational descriptive studies, and expert opinion. Therefore, the scope consisted of 24 articles from States United States, Brazil, Australia, South Asia, South Africa, Indonesia, Thailand, Newfoundland, Iran, Japan, South Africa, Nigeria, Tanzania, and Norway. The activity carried out by nursing at home focuses on individualized care and disease monitoring. Keywords: nursing, community health nursing, health promotion, primary prevention

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
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 head0.392
GPT teacher head0.608
Teacher spread0.216 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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