ArticleJournal of obstetric, gynecologic, and neonatal nursing : JOGNN2013
Doing the right thing by incorporating evidence and professional goals in the ethics consult.
Article in Journal of obstetric, gynecologic, and neonatal nursing : JOGNN, 2013. 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
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
0 citing papers in PubMed.
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Authors and funding
1 author.
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Abstract
Classic ethical decision-making models are discussed, and two recommendations are provided. The author proposes applying evidence-based position statements to ethical deliberation and suggests acknowledging the differing philosophical underpinnings and goals of various stakeholders, including nurses, physicians, families, institutions, and the nation. Examples are provided throughout. When combined with evidence-based information and consideration of group goals, traditional ethical analysis may help nurses "do the right thing."
Indexed as
Identifiers
23772802What 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.