Public Health Messaging and Measures During COVID-19: The Experiences of Family Caregivers
Bibliographic record
Abstract
Abstract To mitigate the effects of COVID-19, Health Ministries across Canada have enacted numerous public health measures. Our mixed methods study examined the effect of COVID-19 related public health messaging and measures for family caregivers (FCGs) of people living with dementia (PLWD). Of the 230 FCGs completing the survey, most frequently used information sources were television, family/friends, and websites. FCGs over 60 more often used television, newspaper and radio versus websites and social media. FCGs rated public health messaging as good-excellent (64%) especially messaging around the disease spread, symptoms, and finding information. 46% believe the restrictions in long-term care facilities went beyond necessary with 97% reporting restrictions have negatively impacted them. 84% were willing to undertake personal protective equipment and infection control training to ensure continued access to PLWD. Focus groups highlighted concerns about continued access to PLWD, quality of care provision, and increased social isolation’s impact on dementia progression.
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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 | 0.009 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".