ReviewJournal of advanced nursing2025
Describing a programme of implementation-effectiveness research on the organization and implementation of frontline nursing care delivery into diverse health systems.
Review in Journal of advanced nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Effect of a checklist-based core competency training and evaluation system on work-related alienation among critical care nurses.Frontiers in public health · 2026Article
- Describing a programme of implementation-effectiveness research on the organization and implementation of frontline nursing care delivery into diverse health systems.Journal of advanced nursing · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
aimsThe longitudinal programme of research described in this paper seeks to generate knowledge about factors influencing the implementation of a system-level intervention, the clinical nurse leader care model, involving nurses as leaders at the frontlines of care and the outcomes achievable with successful implementation. The research programme has the following aims, (a) to clarify clinical nurse leader practice, (b) develop and empirically validate a translational model of frontline care delivery that includes clinical nurse leader practice and (c) delineate the patterns of and critical outcomes of successful implementation of the clinical nurse leader care model.
designThis programme of research follows a knowledge-building trajectory involving multiple study designs in both qualitative (grounded theory, case study) and quantitative (descriptive, correlational and quasi-experimental) traditions.
methodsMultiple mixed methods within a system-based participatory framework were used to conduct this programme of implementation-effectiveness research.
resultsFindings are demonstrating how the clinical nurse leader care model, as a complex system-level intervention, can be implemented in diverse healthcare contexts to make a difference to patient care quality and safety. Findings also contribute to implementation science, helping to better understand the dynamic interdependencies between implementation, the interventions implemented and the contexts in which they are implemented.
conclusionFindings translate into sets of evidence-informed implementation 'recipes' that health systems can match to their specific contexts and needs. This allows health systems to take on strategies that both maximize resource impact within their existing structures and support achieving intended outcomes. IMPLICATION: This programme of research is producing actionable implementation and outcome evidence about ways to organize nursing knowledge and practice into care models that can be successfully adopted within real-world healthcare settings to achieve safer and higher quality patient care.
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.