Outcomes of Implementing a Webinar-Based Strategy to Improve Spinal Cord Injury Knowledge and Community Building: Convergent Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: COVID-19 disrupted services received by persons with spinal cord injury (SCI) worldwide. The International Disability Alliance declared the need for a disability-inclusive response to the COVID-19 crisis, as decreased access to health care services for individuals living with varying levels of function was unacceptable. As a result, an SCI community in Canada created a novel webinar-based strategy aimed at improving access to self-management information for people living with SCI and other stakeholders. However, although telehealth practices have previously been used effectively in SCI management and rehabilitation, little to no scholarship has investigated the outcomes of implementing a webinar-based telehealth strategy in this population. OBJECTIVE: This study aims to understand the outcomes of implementing the webinar series. Specifically, the authors aimed to determine the reach of the series; understand its impact on social connectedness, perceptions of disability, and overall quality of interactions among persons with SCI, their families, service providers, and the public at large; and explore the long-term sustainability of the initiative. METHODS: The authors implemented a community-based participatory strategy to define a convergent mixed methods design to triangulate qualitative and quantitative data collected simultaneously. Quantitative methods included pop-up questions administered during the live webinars, surveys administered following webinars, and an analysis of YouTube analytics. Qualitative methods included semistructured interviews with persons with SCI and health care providers who attended at least one webinar. The results were integrated, following methods adapted from Creswell and Clark. RESULTS: A total of 234 individuals attended at least 1 of the 6 webinars that took place during the 6-month study period. In total, 13.2% (31/234) of the participants completed the postwebinar survey, and 23% (7/31) participated in the semistructured interviews. The reach of the webinar series was mainly to persons with SCI, followed by health professionals, with most of them living in urban areas. The topics sexuality and research were the most viewed on YouTube. The knowledge disseminated during the webinars was mainly perceived as valid and useful, related to the fact that the presentation format involved people with lived experience and clinical experts. The webinars did not necessarily help build a new extended community of people involved in SCI but helped strengthen the existing community of people with SCI in Alberta. The webinar positively influenced the perceptions of normality and disability regarding people with SCI. The webinar format was perceived as highly usable and accessible. CONCLUSIONS: The webinar series was associated with improved participant knowledge of what is possible to achieve after an SCI and their perceptions of disability. The long-term implementation of this initiative is feasible, but further considerations to increase its reach to rural areas and ensure the integration of diverse individuals should be taken.
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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 | 0.063 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".