ArticleNI 2012 : 11th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. International Congress in Nursing Informatics (11th : 2012 : Montreal, Quebec)2012
Development of an observational tool to measure nurses' information needs.
Article in NI 2012 : 11th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. International Congress in Nursing Informatics (11th : 2012 : Montreal, Quebec), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
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Authors and funding
2 authors.
Funding
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Abstract
Nurses collect, communicate and store patient information needed for care through verbal, handwritten and electronic information sources. However, the specific categories of nurses' information needs for the care of hospitalized patients remain unknown. The purpose of this study was to identify the categories of nurses' information needs and develop an observational tool to measure the information needs through available information sources. We analyzed qualitative data from interview transcripts and conducted direct observations of nurses to identify a total of 17 categories of nurses' information needs when caring for hospitalized patients. Once identified, we developed an observational tool to quantitatively measure the category of information need, whether the information need was collected and communicated, and through which information source. Future studies will be able to measure the gathering and communication of information needs through direct observation.
Identifiers
24199087PMC3799094What 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.