Automated Author ProfileRuiter, Robert A.C.
Ruiter, Robert A.C.
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: 1.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Healthcare workers (HCWs) have notably low influenza vaccination coverage rates (VCR) despite influenza being one of the world’s deadliest viruses. Interventions have attempted to tackle this issue, yet they have been unsuccessful in reaching desirable HCW VCR. In a systematic review, we aimed to understand and examine the specific behavior change methods of interventions that impact HCW VCR. Based on 86 studies, we identified 35 different behavior change methods. Although meta-analyses were not possible, the results suggest that interventions using rewards, nudging, or mass-media persuasion were most effective. Mandates, though one of the most effective methods, was not the most effective. Additionally, in the studies from 2016 onward there was a shift away from mandates and toward more autonomy-supportive methods. Ultimately, more research is needed to understand what methods are best for increasing HCW VCR globally. What is essential is the correct fit between identified psychosocial determinants and the method for change, considering the parameters of those methods in their application.
Authors
- Bertrand, Sarah Françoise ;
- Kok, Gerjo ;
- Mafi, Alireza ;
- Ruiter, Robert A.C. ;
- Hoor, Gill A. ten
Healthcare workers (HCWs) have notably low influenza vaccination coverage rates (VCR) despite influenza being one of the world’s deadliest viruses. Interventions have attempted to tackle this issue, yet they have been unsuccessful in reaching desirable HCW VCR. In a systematic review, we aimed to understand and examine the specific behavior change methods of interventions that impact HCW VCR. Based on 86 studies, we identified 35 different behavior change methods. Although meta-analyses were not possible, the results suggest that interventions using rewards, nudging, or mass-media persuasion were most effective. Mandates, though one of the most effective methods, was not the most effective. Additionally, in the studies from 2016 onward there was a shift away from mandates and toward more autonomy-supportive methods. Ultimately, more research is needed to understand what methods are best for increasing HCW VCR globally. What is essential is the correct fit between identified psychosocial determinants and the method for change, considering the parameters of those methods in their application.
Authors
- Bertrand, Sarah Françoise ;
- Kok, Gerjo ;
- Mafi, Alireza ;
- Ruiter, Robert A.C. ;
- Hoor, Gill A. ten