Evidence map›Paper›PMID 23043651›Full record

ArticleInternational journal of nursing knowledge2012

Maintaining a consistent big picture: meaningful use of a Web-based POC EHR system.

Gail M Keenan, Elizabeth Yakel, Yingwei Yao, Dianhui Xu, Laura Szalacha, Dana Tschannen, Yvonne Ford, Yu-Chung Chen, Andrew Johnson, Karen Dunn Lopez and 1 more

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In one paragraph

Article in International journal of nursing knowledge, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
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  18. Outcomes for End-of-Life Patients with Anticipatory Grieving: Insights from Practice with Standardized Nursing Terminologies within an Interoperable Internet-based Electronic Health Record.Journal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association · 2017
    Article
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  20. Predicting Hospital Re-admissions from Nursing Care Data of Hospitalized Patients.Advances in data mining. Industrial Conference on Data Mining · 2017
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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

11 authors.

Gail M KeenanCollege of Nursing, University of Illinois at Chicago, Chicago, IL, USA. gmkeenan@uic.edu
Elizabeth Yakel
Yingwei Yao
Dianhui Xu
Laura Szalacha
Dana Tschannen
Yvonne Ford
Yu-Chung Chen
Andrew Johnson
Karen Dunn Lopez
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
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 P30 NR010680NINR NIH HHS P30 NR10680S1NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

objectiveTo test the hypothesis that Hands-on Automated Nursing Data System (HANDS) "big picture summary" can be implemented uniformly across diverse settings, and result in positive registered nurse (RN) and plan of care (POC) data outcomes across time.

designIn a longitudinal, multisite, full test study, a representative convenience sample of eight medical-surgical units from four hospitals (one university, two large community, and one small community) in one Midwestern state implemented the HANDS intervention for 24 (four units) or 12 (four units) months. MEASUREMENTS: (a) RN outcomes-percentage completing training, satisfaction with standardized terminologies, perception of HANDS usefulness, POC submission compliance rate. (b) POC data outcomes-validity (rate of optional changes/episode); reliability of terms and ratings; and volume of standardized data generated.

resultsOne hundred percent of the RNs who worked on the eight study units successfully completed the required standardized training; all units selected participated for the entire 12- or 24-month designated period; compliance rates for POC entry at every patient hand-off were 78-92%; reliability coefficients for use of the standardized terms and ratings were moderately strong; the pattern of optional POC changes per episode declined but remained reasonable across time; and the nurses generated a database of 40,747 episodes of care. LIMITATIONS: Only RNs and medical-surgical units participated.

conclusionIt is possible to effectively standardize the capture and visualization of useful "big picture" healthcare information across diverse settings. Findings offer a viable alternative to the current practice of introducing new health information layers that ultimately increase the complexity and inconsistency of information for frontline users.

Indexed as

InternetMedical Records Systems, ComputerizedLongitudinal StudiesMidwestern United StatesReproducibility of Results

Identifiers

PMID23043651
PMCPMC3674817

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.