Evidence map›Paper›PMID 32690861›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2021

Handoff standardization in the neonatal intensive care unit with an EMR-based handoff tool.

Noura Nickel, Dipti Amin, Fauzia Shakeel, Aaron Germain, Joana Machry

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Shift-to-shift handoffs in the NICU: lessons learned from a large scale audit.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Observational
  3. 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 at 1 institution in 1 country.

Noura NickelMaternal, Fetal, and Neonatal Institute, Johns Hopkins All Children's Hospital, St Petersburg, FL, USA. noura.nickel@gmail.com.ORCID http://orcid.org/0000-0003-4952-7869
Dipti AminChief Medical Informatics Officer, Johns Hopkins All Children's Hospital, St Petersburg, FL, USA.
Fauzia ShakeelMaternal, Fetal, and Neonatal Institute, Johns Hopkins All Children's Hospital, St Petersburg, FL, USA.
Aaron GermainMaternal, Fetal, and Neonatal Institute, Johns Hopkins All Children's Hospital, St Petersburg, FL, USA.
Joana MachryMaternal, Fetal, and Neonatal Institute, Johns Hopkins All Children's Hospital, St Petersburg, FL, USA.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis quality improvement project aimed to improve the accuracy and efficiency of handoff communication among NICU medical providers with an Electronic Medical Record (EMR)-based handoff tool (HT). STUDY

designThree Plan-Do-Study-Act (PDSA) cycles were utilized following the implementation of a NICU-specific EMR-based HT and a standardized handoff process. Primary measures included accuracy of demographic components: patient name, bed, age, gestational age, postmenstrual age; and medical components: active diagnoses, weight, vascular access, respiratory support, diet, total fluid goal, medications. Secondary measures included environmental components (start time, duration, location, and distractions) as indicators of efficiency.

resultsAccuracy of handoff components improved from 68% to 99% (p < 0.001). Efficiency of the handoff improved with time needed to complete patient handoff decreasing from 78 to 47 s per patient (p < 0.001).

conclusionsStandardizing the NICU handoff process using an EMR-based HT allowed for increased accuracy of handoff components and improved efficiency, which may promote enhanced patient safety.

Indexed as

Intensive Care Units, NeonatalPatient HandoffCommunicationElectronic Health RecordsHumansInfant, NewbornQuality ImprovementReference Standards

Identifiers

PMID32690861
OpenAlexW3042407028

What OpenQuestion holds

Textmetadata
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.