Evidence map›Paper›PMID 28858147›Full record

ArticleNursing research

Toward Meaningful Care Plan Clinical Decision Support: Feasibility and Effects of a Simulated Pilot Study.

Gail M Keenan, Karen Dunn Lopez, Yingwei Yao, Vanessa E C Sousa, Janet Stifter, Alessandro Febretti, Andrew Johnson, Diana J Wilkie

Abstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

8 authors.

Gail M KeenanGail M. Keenan, PhD, RN, FAAN, is Professor and Annabel Davis Jenks Endowed Chair for Teaching and Research in Clinical Nursing Excellence, Department of Family, Community and Health Systems Science, College of Nursing, University of Florida, Gainesville. Karen Dunn Lopez, PhD, RN, is Assistant Professor, Department of Health Systems Science, College of Nursing, University of Illinois at Chicago. Yingwei Yao, PhD, is Research Associate Professor, Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, and Department of Biobehavioral Health Science, College of Nursing, University of Illinois at Chicago. Vanessa E. C. Sousa, PhD, RN, is Postdoctoral Fellow; and Janet Stifter, PhD, RN, CPHQ, is the Director of Center for Care Innovation and Transformation, the American Organization of Nurse Executives (AONE), Chicago, Illinois. Alessandro Febretti, MS, is Predoctoral Student; and Andrew Johnson, PhD, is Associate Professor, Electronic Visualization Laboratory, Department of Computer Science, College of Engineering, University of Illinois at Chicago. Diana J. Wilkie, PhD, RN, FAAN, is Professor, Prairieview Trust-Earl and Margo Powers Endowed Professor, and Director, Academic Center of Excellence in Palliative Care Research and Education, Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, and Professor, Department of Biobehavioral Health Science, College of Nursing, University of Illinois at Chicago.
Karen Dunn Lopez
Yingwei Yao
Vanessa E C Sousa
Janet Stifter
Alessandro Febretti
Andrew Johnson
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 R01 NR012949
6 · The paper itself

Abstract

backgroundClinical decision support (CDS) tools-with easily understood and actionable information, at the point of care-are needed to help registered nurses (RNs) make evidence-based decisions. Not clear are the optimal formats of CDS tools. Thorough, preclinical testing is desirable to avoid costly errors associated with premature implementation in electronic health records.

objectiveThe aims of this study were to determine feasibility of the protocol designed to compare multiple CDS formats and evaluate effects of numeracy and graph literacy on RN adoption of best practices and care planning time in a simulated environment.

methodsIn this pilot study, 60 RNs were randomly assigned to one of four CDS conditions (control, text, text + graph, and text + table) and asked to adjust the plan of care for two patient scenarios over three shifts. Fourteen best practices were identified for the two patients and sent as suggestions with evidence to the three CDS groups. Best practice adoption rates, care planning time, and their relationship to the RN's numeracy and graph literacy scores were assessed.

resultsCDS groups had a higher adoption rate of best practices (p < .001) across all shifts and decreased care planning time in shifts 2 (p = .01) and 3 (p = .02) compared with the control group. Higher numeracy and graph literacy were associated with shorter care planning times under text + table (p = .05) and text + graph (p = .01) conditions. No significant differences were found between the three CDS groups on adoption rate and care planning time. DISCUSSION: This pilot study shows the feasibility of our protocol. Findings show preliminary evidence that CDS improves the efficiency and effectiveness of care planning decisions and that the optimal format may depend on individual RN characteristics. We recommend a study with sufficient power to compare different CDS formats and assess the impact of potential covariates on adoption rates and care planning time.

Indexed as

Decision Support Systems, ClinicalPractice Guidelines as TopicAdultElectronic Health RecordsEvidence-Based NursingFemaleHumansMaleMiddle AgedNursing Staff, HospitalPatient Care PlanningPilot Projects

Identifiers

PMID28858147
PMCPMC5657586

What OpenQuestion holds

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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.