Automated Author ProfileRiley, Dana
Riley, Dana
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: 2.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
BACKGROUND: Tobacco use is a major risk factor for recurrent stroke. Very few studies have been performed to support smoking cessation among patients who have experienced a stroke or TIA. The purpose of this pilot study was to assess the feasibility and obtain preliminary data on the effectiveness of providing cost-free quit smoking pharmacotherapy and counselling to smokers identified in a stroke prevention clinic. DESIGN: Randomized controlled trial. METHODS: All patients seen at the Ottawa Hospital Stroke Prevention Clinic were screened for smoking status, advised to quit smoking and treated using a standardized protocol including counselling and pharmacotherapy. Eligible smokers were randomly assigned to either a prescription only usual care group, or, the experimental group who received a 4-week supply of cost-free quit smoking medications and prescription for medication renewal. All patients received follow-up counselling 7-days prior to and 5, 14, 30, 60, 90, 180 days following their quit attempt. The primary outcome was bio-chemically validated quit rates at 26-weeks. RESULTS: Of 219 smokers screened, 73 were eligible, 28 consented and were randomized, and 25 completed the study. The bio-chemically validated 7-day point prevalence abstinence rate in the experimental group compared to usual care group was 26.6% vs. 15.4%, adjusted Odds Ratio (OR) 2.00, 95% CI 0.33, 13.26, p=.20. CONCLUSIONS: This pilot study provides preliminary data which suggests the provision of 4-weeks of cost-free quit smoking medications may improve quitting success in smokers with TIA and stroke. The study was underpowered to achieve statistically significant results. It would be feasible to definitively evaluate this intervention in a large multi-site trial.
Authors
- Papadakis, Sophia ;
- Aitken, Debbie ;
- Gocan, Sophia ;
- Riley, Dana ;
- Laplante, Mary Ann ;
- Bhatnagar-Bost, Abha ;
- Cousineau, Donna ;
- Simpson, Danielle ;
- Edjoc, Rojiemiahd ;
- Pipe, Andrew L. ;
- Sharma, Mukul ;
- Reid, Robert D.
No description available
Authors
- Papadakis, Sophia ;
- Aitken, Debbie ;
- Gocan, Sophia ;
- Riley, Dana ;
- Laplante, Mary Ann ;
- Bhatnagar-Bost, Abha ;
- Cousineau, Donna ;
- Simpson, Danielle ;
- Edjoc, Rojiemiahd ;
- Pipe, Andrew L. ;
- Sharma, Mukul ;
- Reid, Robert D.