Abstract W P274: Developmental Evaluation Enhances Utility of the Toronto Stroke Networks Virtual Community of Practice
Bibliographic record
Abstract
Background: The Toronto Stroke Networks (TSNs) Virtual Community of Practice (VCoP) was developed to connect stroke healthcare providers (HCPs), enhance professional and organizational stroke expertise, foster implementation of best practices, and improve patient outcomes in stroke care. The VCoP is a secure social media platform fostering cross system interprofessional collaboration (IPC). Purpose: To use formative developmental evaluation to inform further improvement of the VCoP’s content and performance and to measure its efficacy as a KT tool to support IPC. Methods: An evaluation framework was developed based on “Promoting and assessing value creation in communities and networks” (Wengar, 2011). Stroke HCPs from 15 organizations in the TSNs were provided VCoP training to build virtual competence and to seek feedback for enhanced utility. The TSNs Education and KT Implementation Plan for 2013-2014 integrated activities that encourage VCoP use. These activities include co-development of educational material across sites, information sharing between meetings, and to support implementation of specific activities. Qualitative (e.g. value stories, narratives) and quantitative indicators (e.g. membership and usage) data are evaluated. Results: The TSNs VCoP currently has: 287 members and 26 groups (open and private groups with 4-19 members). There are 8 interprofessional discussions, with a total of 20 pre-populated and requested forums. Feedback from the membership has prompted investments to improve search features and identification of members within the site for more efficient collaborations. Uploading of Provincial Stroke Rounds, provision of a Research and Knowledge Translation Widget, and securing a space for HCPs to submit recommended presentations were added to increase the value-add of the site as a one-stop shop for Stroke HCPs seeking stroke care information. Qualitative analysis of value stories demonstrating the efficacy of the VCoP for IPC is in progress and will be available at time of publishing. Conclusions: The VCoP is an innovative approach to enhancing the system of stroke care. This formative developmental evaluation approach has enhanced the utility of the VCoP as a source for stroke information and HCP connections.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.059 | 0.111 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".