Policymaker and stakeholder perspectives on access to assistive technologies in Canada: challenges and proposed solutions for enhancing equitable access
Bibliographic record
Abstract
PURPOSE: Unmet needs for assistive technologies (ATs) exist and the need for ATs is growing owing to demographic changes worldwide. Little comprehensive research has examined equity of access to ATs in Canada. Our study elucidates perspectives of policymakers and stakeholders on challenges and solutions for enhancing equitable access to ATs to advance policy discussions. METHODS: We conducted a qualitative interview study with a purposive sample of policymakers and stakeholders. Stakeholders were from non-profit organisations; private insurance companies; ageing or technology industries; and advocacy, consumer, and support groups. We used thematic analysis to develop themes that summarised and facilitated data interpretation. RESULTS: We conducted 24 interviews involving 32 participants. We present three themes: (1) User experiences, detailing challenges experienced by AT system users; (2) System characteristics: Challenges and solutions, outlining governance, financial, and delivery arrangements that create challenges for accessing AT, as well as participants' proposed solutions; and (3) Shifts in models and principles, for approaches that may foster equitable access to ATs. We consolidate results into a set of valued qualities of a system that can enhance equitable AT access, and relate results to relevant national and international activities. CONCLUSIONS: This is the most comprehensive study of Canadian policymaker and stakeholder views on AT access to date. Identified challenges and solutions point to opportunities for policy action and to support work to create a national vision for AT access that strengthens the potential for ATs to enable daily activity participation, independence, and societal inclusion of seniors and people with disabilities.IMPLICATIONS FOR REHABILITATIONAT use supports daily activity participation, independence, and societal inclusion of seniors and people with disabilities.There is an urgent need to ensure that those who need ATs have access to them, considering the benefits of their use, current unmet needs for ATs, and the anticipated demand for ATs because of the ageing population and increased prevalence of chronic disease and disability.A comprehensive understanding of policymakers' and stakeholders' perspectives on challenges and potential solutions for enhancing equitable access to ATs is critical to support development of evidence- and values-informed policies.Understanding challenges and solutions identified by diverse policymakers and stakeholders can lead to national and local opportunities for policy action and support work to create a national vision for enhancing equitable access to AT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".