Evidence map›Paper›PMID 39641492›Full record

ReviewJournal of advanced nursing2024

The Role of Nurse Implementation Scientists in Leading Health System Transformation in Atlantic Canada and Beyond: A Discussion Paper.

Alyson Campbell, Christine Cassidy

Abstract readReview
In one paragraph

Review in Journal of advanced nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alyson CampbellFaculty of Nursing, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada.ORCID https://orcid.org/0000-0001-6542-9949
Christine CassidySchool of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo discuss and provide examples of how nurse implementation scientists can support health system transformation.

designDiscussion paper.

methodsUsing Prince Edward Island's health system strategic plan as a case exemplar, selected key priorities in the strategic plan were mapped with examples and discussion of how nurse implementation scientists can support health system transformation on Prince Edward Island and beyond.

conclusionAccelerating the development and delivery of evidence-informed services that support health system transformation is needed. Nurse implementation scientists are ideally positioned to lead these efforts. Appropriate resourcing and compensation are essential to fully embrace nurse implementation scientist roles, collaboration, and buy-in from health system leaders. IMPLICATIONS FOR NURSING: Practical examples of how nurse implementation scientists can lead health system transformation in a rigorous, evidence-informed way are identified. IMPACT: Literature providing examples of how nurse implementation scientists can make meaningful impacts within health systems, particularly in rural contexts, is limited. Nurse implementation scientists are ideally positioned to collaborate with and lead health system transformation by virtue of their knowledge, skills, qualifications and experience. Implications of this work extend beyond nursing to other health disciplines, health organisations, government leaders, researchers and populations. The discussion and examples provided may be applicable to similar contexts. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

health care transformationimplementation sciencenurse implementation scientist

Identifiers

PMID39641492
PMCPMC12080080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.