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Record W1977741190 · doi:10.1080/09638280701800483

Health promotion and education: Application of the ICF in the US and Canada using an ecological perspective

2008· article· en· W1977741190 on OpenAlexaboutno aff
David Howard, Els R. Nieuwenhuijsen, Patricia Welch Saleeby

Bibliographic record

VenueDisability and Rehabilitation · 2008
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionInternational Classification of Functioning, Disability and HealthHealth educationPromotion (chess)PsychologyInclusion (mineral)Public relationsMedicineNursingPublic healthPolitical scienceSocial psychologyRehabilitation

Abstract

fetched live from OpenAlex

Health promotion is an issue comprised of complex and multi-layered concepts that involves a process of enabling people to increase control over and improve their health. The aims and applications of the World Health Organization's International Classification of Functioning, Disability and Health (ICF), with its focus on components of functioning, activities and participation, and environmental factors are salient to health promotion and health education efforts. For individuals with or without disabilities, health promotion occurs within the community in which they reside and is influenced by a complex interaction of personal and environmental factors. The aim of this paper is to discuss how the ICF can be useful in enhancing social change through health promotion and health education for all people, in particular those with disabilities and chronic conditions. In doing so health promotion concepts and the ecological approach linked with the ICF, the relationship of social change and social support to the ICF, the potential role of the ICF for national and local (city) policies, and the role of health professionals in this process will be examined. Building on this body of knowledge, the authors recommend that future research should focus on the relationship between policies and the social participation of people with disabilities in the community, the use of ICF measurement tools to improve the indicators established by the National Organization on Disability, the development of a new ICF core set for community accessibility and inclusion, better interventions to enhance social support, and enhancing the role of professionals in health promotion for people with disabilities or chronic health conditions.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.149
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.309
Teacher spread0.290 · 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

Citations41
Published2008
Admission routes1
Has abstractyes

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