ReviewCanadian journal of anaesthesia = Journal canadien d'anesthesie2020
Data initiatives supporting critical care research and quality improvement in Canada: an environmental scan and narrative review.
Review in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2020. 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, 7 citations in OpenAlex.
- Learning from stakeholders to inform good practice guidance on consent to research in intensive care units: a mixed-methods study.BMJ open · 2022Article
- A methodology to facilitate critical care research using multiple linked electronic, clinical and administrative health records at population scale.International journal of population data science · 2022Article
- 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
25 authors at 13 institutions in 1 country.
Funding
Abstract
purposeCollection and analysis of health data are crucial to achieving high-quality clinical care, research, and quality improvement. This review explores existing hospital, regional, provincial and national data platforms in Canada to identify gaps and barriers, and recommend improvements for data science. SOURCE: The Canadian Critical Care Trials Group and the Canadian Critical Care Translational Biology Group undertook an environmental survey using list-identified names and keywords in PubMed and the grey literature, from the Canadian context. Findings were grouped into sections, corresponding to geography, purpose, and patient sub-group initiatives, using a narrative qualitative approach. Emerging themes, impressions, and recommendations towards improving data initiatives were generated. PRINCIPAL
findingsIn Canada, the Canadian Institute for Health Information Discharge Abstract Database contains high-level clinical data on every adult and child discharged from acute care facilities; however, it does not contain data from Quebec, critical care-specific severity of illness risk-adjustment scores, physiologic data, or data pertaining to medication use. Provincially mandated critical care platforms in four provinces contain more granular data, and can be used to risk adjust and link to within-province data sets; however, no inter-provincial collaborative mechanism exists. There is very limited infrastructure to collect and link biological samples from critically ill patients nationally. Comprehensive international clinical data sets may inform future Canadian initiatives.
conclusionClinical and biological data collection among critically ill patients in Canada is not sufficiently coordinated, and lags behind other jurisdictions. An integrated and inclusive critical care data platform is a key clinical and scientific priority in Canada.
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.