Evidence map›Paper›PMID 37257882›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2023

Nurses' preferences for the format of care planning clinical decision support coded with standardized nursing languages.

Fabiana Cristina Dos Santos, Yingwei Yao, Tamara G R Macieira, Karen Dunn Lopez, Gail M Keenan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Fabiana Cristina Dos SantosDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, Florida, USA.ORCID 0000-0001-9780-4336
Yingwei YaoDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida, USA.
Tamara G R MacieiraDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, Florida, USA.ORCID 0000-0003-1100-3760
Karen Dunn LopezCollege of Nursing, University of Iowa, Iowa City, Iowa, USA.
Gail M KeenanDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, Florida, USA.

Funding

Tailored Clinical Decision Support Formats Designed to Improve Palliative Care for Cancer and Chronically Ill Patients: A Pre-Clinical TestR01NR018416 · NINR · UNIVERSITY OF FLORIDA · PI DUNN LOPEZ, KAREN, KEENAN, GAIL M · 2019 to 2021
$1.7M
NINR NIH HHS R01 NR018416
6 · The paper itself

Abstract

Current electronic health records (EHRs) are often ineffective in identifying patient priorities and care needs requiring nurses to search a large volume of text to find clinically meaningful information. Our study, part of a larger randomized controlled trial testing nursing care planning clinical decision support coded in standardized nursing languages, focuses on identifying format preferences after random assignment and interaction to 1 of 3 formats (text only, text+table, text+graph). Being assigned to the text+graph significantly increased the preference for graph (P = .02) relative to other groups. Being assigned to the text only (P = .06) and text+table (P = .35) was not significantly associated with preference for their assigned formats. Additionally, the preference for graphs was not significantly associated with understanding graph content (P = .19). Further studies are needed to enhance our understanding of how format preferences influence the use and processing of displayed information.

Indexed as

Decision Support Systems, ClinicalNursesElectronic Health RecordsHumansLanguageResearch Designclinical decision support systemsdata visualizationelectronic health recordsnursingstandardized nursing terminology

Identifiers

PMID37257882
PMCPMC10586033

What OpenQuestion holds

Textmetadata
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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.