Evidence map›Paper›PMID 23413930›Full record

ArticleInternational journal of nursing knowledge2013

Data mining nursing care plans of end-of-life patients: a study to improve healthcare decision making.

Fadi Almasalha, Dianhui Xu, Gail M Keenan, Ashfaq Khokhar, Yingwei Yao, Yu-C Chen, Andy Johnson, R Ansari, Diana J Wilkie

Abstract read
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In one paragraph

Article in International journal of nursing knowledge, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.International journal of nursing knowledge · 2014
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  15. Evaluating a Clinical Decision Support Interface for End-of-Life Nurse Care.Extended abstracts on Human factors in computing systems. CHI Conference
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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

9 authors.

Fadi AlmasalhaThe Applied Science Private University, Amman, Jordan.
Dianhui Xu
Gail M Keenan
Ashfaq Khokhar
Yingwei Yao
Yu-C Chen
Andy Johnson
R Ansari
Diana J Wilkie

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
AHRQ HHS R01 HS01505403NINR NIH HHS P30 NR010680NINR NIH HHS P30 NR10680S1NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

purposeTo reveal hidden patterns and knowledge present in nursing care information documented with standardized nursing terminologies on end-of-life (EOL) hospitalized patients.

method596 episodes of care that included pain as a problem on a patient's care plan were examined using statistical and data mining tools. The data were extracted from the Hands-On Automated Nursing Data System database of nursing care plan episodes (n = 40,747) coded with NANDA-I, Nursing Outcomes Classification, and Nursing Intervention Classification (NNN) terminologies. System episode data (episode = care plans updated at every hand-off on a patient while staying on a hospital unit) had been previously gathered in eight units located in four different healthcare facilities (total episodes = 40,747; EOL episodes = 1,425) over 2 years and anonymized prior to this analyses.

resultsResults show multiple discoveries, including EOL patients with hospital stays (<72 hr) are less likely (p < .005) to meet the pain relief goals compared with EOL patients with longer hospital stays.

conclusionsThe study demonstrates some major benefits of systematically integrating NNN into electronic health records.

Indexed as

Decision Making, OrganizationalInformation Storage and RetrievalNursing CarePatient Care PlanningTerminal CareAutomation

Identifiers

PMID23413930
PMCPMC3641782

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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.