Evidence map›Paper›PMID 36577501›Full record

ArticleApplied clinical informatics2022

Information and Data Visualization Needs among Direct Care Nurses in the Intensive Care Unit.

Heidi L Lindroth, Yuliya Pinevich, Amelia K Barwise, Sawsan Fathma, Daniel Diedrich, Brian W Pickering, Vitaly Herasevich

Abstract readMulticenter Study
In one paragraph

Article in Applied clinical informatics, 2022. 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. 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

7 authors.

Heidi L LindrothDepartment of Nursing, Mayo Clinic, Rochester, Minnesota, United States.
Yuliya PinevichDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States.
Amelia K BarwiseDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, United States.
Sawsan FathmaDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States.
Daniel DiedrichDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States.
Brian W PickeringDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States.
Vitaly HerasevichDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIntensive care unit (ICU) direct care nurses spend 22% of their shift completing tasks within the electronic health record (EHR). Miscommunications and inefficiencies occur, particularly during patient hand-off, placing patient safety at risk. Redesigning how direct care nurses visualize and interact with patient information during hand-off is one opportunity to improve EHR use. A web-based survey was deployed to better understand the information and visualization needs at patient hand-off to inform redesign.

methodsA multicenter anonymous web-based survey of direct care ICU nurses was conducted (9-12/2021). Semi-structured interviews with stakeholders informed survey development. The primary outcome was identifying primary EHR data needs at patient hand-off for inclusion in future EHR visualization and interface development. Secondary outcomes included current use of the EHR at patient hand-off, EHR satisfaction, and visualization preferences. Frequencies, means, and medians were calculated for each data item then ranked in descending order to generate proportional quarters using SAS v9.4.

resultsIn total, 107 direct care ICU nurses completed the survey. The majority (46%,

conclusionWe identified information and visualization needs of direct care ICU nurses. The study findings could serve as a baseline toward redesigning an EHR interface.

Indexed as

Data VisualizationNursesElectronic Health RecordsHumansIntensive Care UnitsSurveys and Questionnaires

Identifiers

PMID36577501
PMCPMC9797346

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.