Evidence-informed consensus statements to guide COVID-19 patient visitation policies: results from a national stakeholder meeting
Bibliographic record
Abstract
PURPOSE: Hospital policies forbidding or limiting families from visiting relatives on the intensive care unit (ICU) has affected patients, families, healthcare professionals, and patient- and family-centered care (PFCC). We sought to refine evidence-informed consensus statements to guide the creation of ICU visitation policies during the current COVID-19 pandemic and future pandemics and to identify barriers and facilitators to their implementation and sustained uptake in Canadian ICUs. METHODS: We created consensus statements from 36 evidence-informed experiences (i.e., impacts on patients, families, healthcare professionals, and PFCC) and 63 evidence-informed strategies (i.e., ways to improve restricted visitation) identified during a modified Delphi process (described elsewhere). Over two half-day virtual meetings on 7 and 8 April 2021, 45 stakeholders (patients, families, researchers, clinicians, decision-makers) discussed and refined these consensus statements. Through qualitative descriptive content analysis, we evaluated the following points for 99 consensus statements: 1) their importance for improving restricted visitation policies; 2) suggested modifications to make them more applicable; and 3) facilitators and barriers to implementing these statements when creating ICU visitation policies. RESULTS: Through discussion, participants identified three areas for improvement: 1) clarity, 2) accessibility, and 3) feasibility. Stakeholders identified several implementation facilitators (clear, flexible, succinct, and prioritized statements available in multiple modes), barriers (perceived lack of flexibility, lack of partnership between government and hospital, change fatigue), and ways to measure and monitor their use (e.g., family satisfaction, qualitative interviews). CONCLUSIONS: Existing guidance on policies that disallowed or restricted visitation in intensive care units were confusing, hard to operationalize, and often lacked supporting evidence. Prioritized, succinct, and clear consensus statements allowing for local adaptability are necessary to guide the creation of ICU visitation policies and to optimize PFCC.
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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 | 0.292 | 0.343 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| 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".