Evidence map›Paper›PMID 28093877›Full record

ArticleInternational journal of nursing knowledge2018

A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.

Gail M Keenan, Karen Dunn Lopez, Vanessa E C Sousa, Janet Stifter, Tamara G R Macieira, Andrew D Boyd, Yingwei Yao, T Heather Herdman, Sue Moorhead, Anna McDaniel and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nursing knowledge, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Gail M KeenanCollege of Nursing, University of Florida, Gainesville, Florida.
Karen Dunn LopezCollege of Nursing, University of Illinois at Chicago, Chicago, Illinois.
Vanessa E C SousaCollege of Nursing, University of Illinois at Chicago, Chicago, Illinois.
Janet StifterAmerican Organization of Nurse Executives, American Hospital Association, Chicago, Illinois.
Tamara G R MacieiraCollege of Nursing, University of Florida, Gainesville, Gainesville, Florida.
Andrew D BoydCollege of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois.
Yingwei YaoCollege of Nursing, University of Florida, Gainesville, Gainesville, Florida.
T Heather HerdmanNANDA International and University of Wisconsin-Green Bay, Green Bay, Wisconsin.
Sue MoorheadNursing Classification Center, College of Nursing, University of Iowa, Iowa City, Iowa.
Anna McDanielCollege of Nursing, University of Florida, Gainesville, Gainesville, Florida.
Diana J WilkieCollege of Nursing, University of Florida, Gainesville, Gainesville, Florida.

Funding

Describing, Contrasting, and Visualizing End-of-Life Care in the 21st CenturyR01NR012949 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ANSARI, RASHID, KEENAN, GAIL M · 2011 to 2014
$2.0M
HIT Support for Safe Nursing CareR01HS015054 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KEENAN, GAIL M · 2004 to 2006
$499k
AHRQ HHS R01 HS015054NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

purposeTo critically evaluate 2014 American Academy of Nursing (AAN) call-to-action plan for generating interoperable nursing data. DATA SOURCES: Healthcare literature. DATA SYNTHESIS: AAN's plan will not generate the nursing data needed to participate in big data science initiatives in the short term because Logical Observation Identifiers Names and Codes and Systematized Nomenclature of Medicine - Clinical Terms are not yet ripe for generating interoperable data. Well-tested viable alternatives exist.

conclusionsAuthors present recommendations for revisions to AAN's plan and an evidence-based alternative to generating interoperable nursing data in the near term. These revisions can ultimately lead to the proposed terminology goals of the AAN's plan in the long term.

Indexed as

Big DataNursing ProcessPlanning TechniquesSoftwareVocabulary, ControlledComputer GraphicsElectronic Health RecordsSocieties, NursingStandardized Nursing TerminologySystematized Nomenclature of MedicineUnited StatesWorkflowBig data sciencepatient care planningstandardized nursing terminology

Identifiers

PMID28093877
PMCPMC8080953

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.