ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
Information networks in intensive care: a network analysis of information exchange patterns.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Identifying ICU admission decision patterns in a '20-questions game' approach using network analysis.The Southern African journal of critical care : the official journal of the Critical Care Society · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The communication and delivery of clinical information is the basis for coordination of patient care. Information exchange in acute care practice, however, is becoming increasingly complex, in part due to the expansion of electronic sources of information. In this study, we attempted to describe this complexity by using Network Analysis (NA) to depict information use patterns among ICU nurses with information technology tools as full nodes in the network rather than as mediators of information exchange between nodes. Including information technology tools as full nodes, enabled an examination of their direct role in the information-sharing network. Analysis of these data using NA allowed the explication of three dominant information use patterns, corresponding to three phases of care experienced by patients in this unit: admission phase, monitoring phase, and discharge phase.
Indexed as
Identifiers
21347033PMC3041290What 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.