Influence of organisational attributes on registered nurse contributions to well-child care: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Universal access to preventative healthcare is essential to children's health. Registered nurses (RN) are well positioned to deliver well-child care within primary care settings; however, RN role implementation varies widely in this sector and the scope of literature that examines the influence of organisational attributes on nursing contributions to well-child care is not well understood. The aim of this scoping review is to identify the scope and characteristics of the literature related to organisational attributes that act as barriers to, or facilitators for RN delivery of well-child care within the context of primary care in high-income countries. METHODS AND ANALYSIS: The Joanna Briggs Institute scoping review methodology will be used to conduct this review. Databases that will be accessed include Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE and Embase. Inclusion criteria includes articles with a focus on RNs who deliver well-child care in primary care settings. Literature that meets this inclusion criteria will be included in the study. Covidence software platform will be used to review citations and full-text articles. Titles, abstracts and full-text articles will be reviewed independently by two reviewers. Any disagreements that arise between the reviewers will be resolved through discussion, or with an additional reviewer. Data will be extracted and organised according to the dimensions outlined in the nursing care organisation conceptual framework (NCOF). Principles of the 'best fit' framework synthesis will guide the data analysis approach and the NCOF will act as the framework for data coding and analysis. ETHICS AND DISSEMINATION: This scoping review will undertake a secondary analysis of data already published and does not require ethical approval. Findings will be disseminated via peer-reviewed publications and conference presentations targeting stakeholders involved in nursing practice and the delivery of well-child care. TRIAL REGISTRATION DETAILS: Braithwaite, S., Tranmer, J., Lukewich, J., & Macdonald, D. (2021, March 31). Protocol for a Scoping Review of the Influence of Organisational Attributes on Registered Nurse Contributions to Well-child Care. https://doi.org/10.17605/OSF.IO/UZYX5.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.129 | 0.103 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.012 | 0.013 |
| Bibliometrics | 0.023 | 0.017 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.060 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".