Automated Author ProfileHancock, Kristy
Hancock, Kristy
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This umbrella review aimed to identify structures that healthcare systems have put in place to stabilize, support, and provide for the sustained enhancement of the nursing workforce, as well as highlight outstanding knowledge gaps. Following screening, we selected 69 studies for inclusion, the majority of which investigated interventions classified as implementation strategies (n=60) or delivery arrangements (n=8) under EPOC taxonomy. We identified heterogeneity in terms of the types of structures identified across reviews and the methods used for their evaluation.The findings of this umbrella review suggest that there is no one-size-fits-all approach for supporting the nursing workforce; rather, a multi-level, multi-pronged approach may be more appropriate to collectively have the most impactful outcomes. Limitations of this review include the phenomenon of interest (structures) being difficult to define and the inability to capture recently published primary sources. Future studies should incorporate rigorous implementation and evaluation plans, focusing on the long-term impacts of such strategies, and prioritize the dissemination of learnings.
Authors
- Tomblin Murphy, Gail ;
- Sampalli, Tara ;
- Elliott Rose, Annette ;
- Martin-Misener, Ruth ;
- Sim, Meaghan ;
- Indar, Alyssa ;
- Murdoch, Jennifer ;
- Hancock, Kristy ;
- Salmaniw, Sophia ;
- Murphy-Boyle, Kaylee ;
- Benson, Kianna ;
- MacKenzie, Adrian ;
- Chamberland-Rowe, Caroline
This umbrella review aimed to identify structures that healthcare systems have put in place to stabilize, support, and provide for the sustained enhancement of the nursing workforce, as well as highlight outstanding knowledge gaps. Following screening, we selected 69 studies for inclusion, the majority of which investigated interventions classified as implementation strategies (n=60) or delivery arrangements (n=8) under EPOC taxonomy. We identified heterogeneity in terms of the types of structures identified across reviews and the methods used for their evaluation.The findings of this umbrella review suggest that there is no one-size-fits-all approach for supporting the nursing workforce; rather, a multi-level, multi-pronged approach may be more appropriate to collectively have the most impactful outcomes. Limitations of this review include the phenomenon of interest (structures) being difficult to define and the inability to capture recently published primary sources. Future studies should incorporate rigorous implementation and evaluation plans, focusing on the long-term impacts of such strategies, and prioritize the dissemination of learnings.
Authors
- Tomblin Murphy, Gail ;
- Sampalli, Tara ;
- Elliott Rose, Annette ;
- Martin-Misener, Ruth ;
- Sim, Meaghan ;
- Indar, Alyssa ;
- Murdoch, Jennifer ;
- Hancock, Kristy ;
- Salmaniw, Sophia ;
- Murphy-Boyle, Kaylee ;
- Benson, Kianna ;
- MacKenzie, Adrian ;
- Chamberland-Rowe, Caroline