ArticleBMJ open2021
Influence of organisational attributes on registered nurse contributions to well-child care: a scoping review protocol.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Telehealth use in the well-child health setting. A systematic review of acceptability and effectiveness for families and practitioners.International journal of nursing studies advances · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUniversal 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.