Analyzing Communication Strategies Used in Long Term Care Facilities during the COVID-19 pandemic in New Brunswick, Canada
Bibliographic record
Abstract
PURPOSE: Effective communication is a key component to managing an event such as a global pandemic. In Canada, federal/provincial reports indicated that effective communication was a challenge in the early days of the COVID-19 pandemic. The purpose of this study was to examine the communication strategies used within long term care facilities in the Canadian province of New Brunswick. METHODS: Online surveys were used to collect data from administrators, staff, and individuals with family members living in long-term care facilities. RESULTS: The findings show an overall satisfaction with the information received by staff and families, however the frequency and format in which information was communicated were inconsistent. All participants indicated that too much information and poor quality information was a challenge. The importance of digital platforms to provide COVID-19 information was consistently identified as a successful communication strategy. CONCLUSION: The findings of this study reveal that the quantity and quality of information provided during the pandemic created challenges for administrators, staff, and families. This is in line with reports from Canadian provincial/federal reports on COVID-19 and long-term care. Recommendations have been made that would benefit the long-term care sector, not only for pandemics, but for communication in general.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| 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".