ArticleBMJ open2022
Preparedness and response to COVID-19 in a quaternary intensive care unit in Australia: perspectives and insights from frontline critical care clinicians.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Frontline Healthcare Workers' Reflections on Operationalizing the COVID-19 Pandemic Response: A Qualitative Study.Journal of nursing management · 2026Article
- Nurses' Challenges With Personal Protective Equipment: A Qualitative Content Analysis Based on the COVID-19 Pandemic.Nursing research and practice · 2026Article
- COVID-19 crisis management of German ICU clinicians in leadership - a metaphor analysis.Frontiers in public health · 2023Article
- Patient safety with covid-19 in hospital units: a scoping review.Revista brasileira de enfermagem · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study was conducted to explore the perspectives and opinions of intensive care unit (ICU) nurses and doctors at a COVID-19-designated pandemic hospital concerning the preparedness and response to COVID-19 and to consolidate the lessons learnt for crisis/disaster management in the future.
designA qualitative study using in-depth interviews (IDIs) and focus group discussions (FGDs). Purposeful sampling was conducted to identify participants. A semistructured guide was used to facilitate IDIs with individual participants. Two FGDs were conducted, one with the ICU doctors and another with the ICU nurses. Thematic analysis identified themes and subthemes informing about the level of preparedness, response measures, processes, and factors that were either facilitators or those that triggered challenges.
settingICU in a quaternary referral centre affiliated to a university teaching COVID-19-designated pandemic hospital, in Adelaide, South Australia.
participantsThe participants included eight ICU doctors and eight ICU nurses for the IDIs. Another 16 clinicians participated in FGDs.
resultsThe study identified six themes relevant to preparedness for, and responses to, COVID-19. The themes included: (1) staff competence and planning, (2) information transfer and communication, (3) education and skills for the safe use of personal protective equipment, (4) team dynamics and clinical practice, (5) leadership, and (6) managing end-of-life situations and expectations of caregivers.
conclusionFindings highlight that preparedness and response to the COVID-19 crisis were proportionate to the situation's gravity. More enablers than barriers were identified. However, opportunities for improvement were recognised in the domains of planning, logistics, self-sufficiency with equipment, operational and strategic oversight, communication and managing end-of-life care.
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.