ArticleThe Gerontologist2023
Video Conferencing With Residents and Families for Care Planning During COVID-19: Experiences in Canadian Long-Term Care.
Article in The Gerontologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- How do interdisciplinary practitioners conceptualize infection control in nursing homes during the COVID-19 pandemic?International journal of qualitative studies on health and well-being · 2026Article
- Building rehabilitation care capacity for older adults living in long-term care through family/care partner and physical therapist engagement: a scoping review.BMC geriatrics · 2026Article
- Virtual Goals of Care Consultation for Advanced Frailty: a Qualitative Implementation Study Providing Insights from the Pandemic.Canadian geriatrics journal : CGJ · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesGovernment-mandated health and safety restrictions to mitigate the effects of coronavirus disease 2019 (COVID-19) intensified challenges in caring for older adults in long-term care (LTC) without family/care partners. This article describes the experiences of a multidisciplinary research team in implementing an evidence-based intervention for family-centered, team-based, virtual care planning-PIECESTM approach-into clinical practice. We highlight challenges and considerations for implementation science to support care practices for older adults in LTC, their families, and the workforce. RESEARCH DESIGN AND
methodsA qualitative descriptive design was used. Data included meetings with LTC directors and Registered Practical Nurses (i.e., licensed nurse who graduated with a 2-year diploma program that allows them to provide basic nursing care); one-on-one interviews with family/care partners, residents, Registered Practical Nurses, and PIECES mentors; and reflections of the academic team. The Consolidated Framework for Implementation Research provided sensitizing constructs for deductive coding, while an inductive approach also allowed themes to emerge.
resultsFindings highlighted how aspects related to planning, engagement, execution, reflection, and evaluation influenced the implementation process from the perspectives of stakeholders. Involving expert partners on the research team to bridge research and practice, developing relationships from a distance, empowering frontline champions, and adapting to challenging circumstances led to shared commitments for intervention success. DISCUSSION AND IMPLICATIONS: Lessons learned include the significance of stakeholder involvement throughout all research activities, the importance of clarity around expectations of all team members, and the consequence of readiness for implementation with respect to circumstances (e.g., COVID-19) and capacity for change.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.