ArticleInternational journal of nursing sciences2023
COVID-19 pandemic in long-term care: An international perspective for policy considerations.
Article in International journal of nursing sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Operating Ethnicity-Focused Senior Long-Term Care Homes in Ontario, Canada During the COVID-19 Pandemic.International journal of environmental research and public health · 2026Article
- Exacerbation of racial disparities in COVID-19 outcomes by Alzheimer's disease and related dementias among nursing home residents.American journal of epidemiology · 2026Article
- Respiratory surveillance through point of care molecular testing and its impacts on nursing home RSV, influenza, and SARS-CoV-2 awareness and reporting behavior: a pilot study.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Challenges Facing Canadian Long-Term Care Homes and Retirement Homes During the COVID-19 Pandemic.Canadian geriatrics journal : CGJ · 2025Article
- Connectivity between long-term care homes and subsequent SARS-CoV-2 outbreaks.BMC public health · 2025Article
- Addressing infection prevention and control in Alabama through the long-term care strike team.Journal of infection prevention · 2024Article
- Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data.BMC geriatrics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper identifies key factors rooted in the systemic failings of the long-term care sector amongst four high income countries during the COVID-19 pandemic. The goal is to offer practice and policy solutions to prevent future tragedies. Based on data from Australia, Canada, Spain and the United States, the findings support evidence-based recommendations at macro, meso and micro levels of practice and policy intervention. Key macro recommendations include improving funding, transparency, accountability and health system integration; and promoting not-for-profit and government-run long-term care facilities. The meso recommendation involves moving from warehouses to "green houses." The micro recommendations emphasize mandating recommended staffing levels and skill mix; providing infection prevention and control training; establishing well-being and mental health supports for residents and staff; building evidence-based practice cultures; ensuring ongoing education for staff and nursing students; and fully integrating care partners, such as families or friends, into the healthcare team. Enacting these recommendations will improve residents' safety and quality of life, families' peace of mind, and staff retention and work satisfaction.
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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.