Improving Family Presence in Long-Term Care during the COVID-19 Pandemic
Bibliographic record
Abstract
Family caregivers play a vital role in supporting the physical and mental health of long-term care (LTC) residents. Due to LTC visitor restrictions during the COVID-19 pandemic, residents (as well as family caregivers) showed significant adverse health outcomes due to a lack of family presence. To respond to these outcomes, eight implementation science teams led research projects in conjunction with Canadian LTC homes to promote the implementation of interventions to improve family presence. Overall, technological and virtual innovations, increased funding to the sector and partnerships with family caregivers were deemed effective methods to promote stronger family presence within LTC. Rsum Les proches aidants jouent un rle essentiel pour la sant physique et mentale des rsidents des tablissements de soins de longue dure (SLD). En raison des restrictions imposes aux visiteurs pendant la pandmie de COVID-19, les rsidents (ainsi que les proches aidants) ont vcu d'importants effets nfastes sur la sant en raison d'un manque de prsence familiale. En raction ces rsultats, huit quipes en science de la mise en oeuvre ont men des projets de recherche en collaboration avec des tablissements de SLD canadiens dans le but de promouvoir la mise en oeuvre d'interventions qui visent favoriser la prsence familiale. Dans l'ensemble, les innovations technologiques et virtuelles, l'augmentation du financement du secteur et les partenariats avec les proches aidants sont considrs comme des mthodes efficaces pour favoriser une prsence familiale plus soutenue au sein des SLD.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".