Evidence map›Paper›PMID 27756852›Full record

ArticleWestern journal of nursing research2017

Framework for Mining and Analysis of Standardized Nursing Care Plan Data.

Ashfaq Khokhar, Muhammad Kamran Lodhi, Yingwei Yao, Rashid Ansari, Gail Keenan, Diana J Wilkie

Abstract read
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In one paragraph

Article in Western journal of nursing research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ashfaq Khokhar1 Illinois Institute of Technology, Chicago, IL, USA.
Muhammad Kamran Lodhi2 University of Illinois, Chicago, IL, USA.
Yingwei Yao3 University of Florida, Gainesville, FL, USA.
Rashid Ansari2 University of Illinois, Chicago, IL, USA.
Gail Keenan3 University of Florida, Gainesville, FL, USA.
Diana J Wilkie3 University of Florida, Gainesville, FL, USA.

Funding

Nursing and Health Research Informatics CoreP30NR010680 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WILKIE, DIANA J · 2007 to 2011
$2.4M
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
NINR NIH HHS P30 NR010680NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

Despite an unprecedented amount of health-related data being amassed from various technological innovations, our ability to process this data and extract hidden knowledge has yet to catch up with this explosive growth. Although nursing care plans can be an effective tool to support the achievement of desired patient outcomes, their online collection, storage, and processing is lagging far behind. As a result, the impact of nursing care is not well understood from qualitative as well as quantitative perspectives. In this article, we first outline a complete life cycle of nursing care data, and present a knowledge discovery and analysis framework for such data sets. We also highlight Big Data issues pertaining to the analysis of nursing care data. Using an exemplar data set, we demonstrate the broad applicability of the proposed framework by showing knowledge discovery results for different outcomes related to patients, nursing staff, and administrators.

Indexed as

Big Dataelectronic health recordsend of lifehospitalized patientsinformaticsnursing data

Identifiers

PMID27756852
PMCPMC5498252

What OpenQuestion holds

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Registered trials

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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.