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Record W3179995695 · doi:10.1111/phn.12941

Twenty years with the public health intervention wheel: Evidence for practice

2021· article· en· W3179995695 on OpenAlexaboutno aff
Marjorie A. Schaffer, Susan Strohschein, Kari Glavin

Bibliographic record

VenuePublic Health Nursing · 2021
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthPublic health nursingPsychological interventionEvidence-based practiceNursingPopulation healthPopulationMedicineRelevance (law)Intervention (counseling)ConvictionEnvironmental healthPolitical scienceAlternative medicineLaw

Abstract

fetched live from OpenAlex

The Public Health Intervention Wheel (PHI Wheel) is a population-based practice model for public health nursing practice that encompasses three levels of practice (community, systems, individual/family) and 17 public health interventions. This article shares the story of how the PHI Wheel was created, disseminated, implemented by public health nurses (PHNs) and educators across the globe, and updated with new evidence published in the second edition of Public Health Interventions: Applications for Public Health Nursing in 2019. Evidence on the relevance of PHI Wheel interventions for public health practice in cultural and international settings supports the model's value in explaining PHN practice. This article highlights the experiences of various countries with the PHI Wheel including Canada, Ireland, New Zealand, Norway, Sweden, the United Kingdom, and the United States. The evidence update confirms the relevance of the model to PHN education and practice and reinforces the conviction that development of new evidence is essential for promoting population health.

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)0.015
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
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 head0.316
GPT teacher head0.559
Teacher spread0.243 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations19
Published2021
Admission routes1
Has abstractyes

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