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Record W2772291638 · doi:10.1177/1524839917739616

An Interdisciplinary Approach to Implementing a Best Practice Guideline in Public Health

2017· article· en· W2772291638 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Promotion Practice · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsToronto Public HealthSouth Bruce Grey Health Centre
Fundersnot available
KeywordsBest practiceGuidelineNursingPublic healthHealth careMedicineKnowledge translationPsychological interventionEvidence-based practiceMedical educationPublic relationsKnowledge managementPolitical scienceAlternative medicine

Abstract

fetched live from OpenAlex

This article describes how one Ontario Public Health Unit implemented a best practice guideline throughout the organization and across disciplines to achieve best practice outcomes in the delivery of client-centered care. Integration of evidence-informed practice presents challenges for both implementation and sustainability. Applying a best practice guideline in the public health setting can add to the challenge. To address this, a variety of interventions were applied: building an interdisciplinary team, adapting a Registered Nurses' Association of Ontario Best Practice Guideline to reflect public health practice for nursing and other disciplines, developing a working definition of "client," engaging staff in knowledge translation, developing policy to support practice change, and incorporating client-centered care principles into daily practice. Outcomes indicate that nursing best practice guidelines, specific to client-centered care, can be successfully adapted and applied in public health practice. Considerations include the varied definitions of a "client," the various roles of public health professionals, and engagement of both internal and external clients. Moreover, interdisciplinary staff can apply the principles of client-centered care when working with clients and when engaging in education-, practice-, and policy-level initiatives to support evidence-informed practice.

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.

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)0.074
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0740.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.000
Scholarly communication0.0000.009
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.708
GPT teacher head0.736
Teacher spread0.028 · 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