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Record W2253013950 · doi:10.4236/ojn.2016.61004

Integration of Health Promotion into Nursing Practice: A Case Study in Pakistan

2016· article· en· W2253013950 on OpenAlexaff
Muneerah Vastani, R. Karmalani, Pammla Petrucka

Bibliographic record

VenueOpen Journal of Nursing · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsUniversity of Saskatchewan
FundersSigma Theta Tau International
KeywordsHealth promotionThematic analysisNursingPromotion (chess)Occupational health nursingCurriculumMedicineQualitative researchFocus groupHealth educationMedical educationPsychologyPublic healthSociologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

The purpose of this study was to understand the concept of health promotion and perceptions related to the integration of health promotion in nursing practice in Pakistan. The study utilized the qualitative single case study approach to explore and describe the concept of health promotion, its significance and ways to integrate health promotion strategies in nursing practice. The data were collected from three different sources; focus group discussion among final year Post-RN BScN students, key informant interviews of practicing nurses, faculty, and MScN students, as well as a document review of the Post-RN BScN curriculum. Data analysis included a content and thematic analysis, yielding four major themes—”Health Promotion as Diverse”, “Health Promotion as Necessary”, “Health Promotion as Nursing Role”, and “Health Promotion as a Strategic Imperative”. Further, the findings highlighted the competencies, support mechanisms, and barriers which select nurses faced while integrating the health promotion strategies in 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0140.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.253
GPT teacher head0.650
Teacher spread0.397 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations2
Published2016
Admission routes1
Has abstractyes

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