ArticleCanadian oncology nursing journal = Revue canadienne de nursing oncologique2016
Developing a provincial cancer patient navigation program utilizing a quality improvement approach Part two: Developing a Navigation Education Framework.
Article in Canadian oncology nursing journal = Revue canadienne de nursing oncologique, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Reducing health and cancer disparities: an environmental scan of three promising health care access interventions in Alberta, Canada.BMC health services research · 2025Article
- Enhancing Cancer Patient Navigation: Lessons from an Evaluation of Navigation Services in Alberta, Canada.Current oncology (Toronto, Ont.) · 2025Article
- An integrative review on the oncology nurse navigator role in the Canadian context.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2023Article
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- Developing a Provincial Cancer Patient Navigation Program Utilizing a Quality Improvement Approach. Part Three: Evaluation and Outcomes.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2012, the provincial cancer agency in Alberta initiated a provincial quality improvement project to develop, implement, and evaluate a provincial cancer navigation program spanning 15 sites across more than 600,000 square kilometres. This project was selected for two years of funding (April 2012-March 2014) by the Alberta Cancer Foundation (ACF) through an Enhanced Care Grant process (ACF, 2015). A series of articles has been created to capture the essence of this quality improvement (QI) project, the processes that were undertaken, the standards developed, the education framework that guided the orientation of new navigator staff, and the outcomes that were measured. The first article in this series focused on establishing the knowledge base that guided the development of this provincial navigation program and described the methodology undertaken to implement the program across 15 rural and isolated urban cancer care delivery sites (Anderson et al., 2016). This article, the second in the series, delves into the education framework that was developed to guide the competency development and orientation process for the registered nurses who were hired into cancer patient navigator roles and how this framework has evolved to support navigators, as they move from novice to expert practice. The third and final article will explore the outcomes that were achieved through this quality improvement project culminating with a discussion section highlighting key learnings, adaptations made, and next steps underway to broaden the scope and impact of the provincial navigation program.
Identifiers
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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.