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Record W2323410397 · doi:10.1093/heapro/dav018

Australian rural, remote and urban community nurses' health promotion role and function

2015· article· en· W2323410397 on OpenAlexaboutno aff
Janet Roden, Lynda Jarvis, Sandra Campbell‐Crofts, Dean Whitehead

Bibliographic record

VenueHealth Promotion International · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionNursingFocus groupRural areaHealth educationMedicineCommunity healthPromotion (chess)Health careOccupational health nursingCharterPublic healthPsychologyMedical educationPolitical scienceSociology

Abstract

fetched live from OpenAlex

Community nurses have often been 'touted' as potential major contributors to health promotion. Critical literature, however, often states that this has not been the case. Furthermore, most studies examining nurses' role and function have occurred mainly in hospital settings. This is a sequential mixed-methods study of two groups of community nurses from a Sydney urban area (n = 100) and from rural and remote areas (n = 49) within New South Wales, Australia. A piloted questionnaire survey was developed based on the five action areas of the Ottawa Charter for Health Promotion. Following this, 10 qualitative interviews were conducted for both groups, plus a focus group to support or refute survey results. Findings showed that rural and remote nurses had more positive attitudes towards health promotion and its clinical implementation. Survey and interview data confirmed that urban community nurses had a narrower focus on caring for individuals rather than groups, agreeing that time constraints impacted on their limited health promotion role. There was agreement about lack of resources (material and people) to update health promotion knowledge and skills. Rural and remote nurses were more likely to have limited educational opportunities. All nurses undertook more development of personal skills (DPS, health education) than any other action area. The findings highlight the need for more education and resources for community nurses to assist their understanding of health promotion concepts. It is hoped that community nurse leaders will collectively become more effective health promoters and contribute to healthy reform in primary health care sectors.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.154
GPT teacher head0.486
Teacher spread0.332 · 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

Citations27
Published2015
Admission routes1
Has abstractyes

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