Evidence map›Paper›PMID 42314151›Full record

ArticleJMIR pediatrics and parenting2026

Impact of a Real-Time Virtual Rounding Queue on Neonatal Intensive Care Unit Rounding Practices: Survey Study of Clinicians' Perceptions.

Elizabeth S Jarrett, Alexis Quade, Johannah M Scheurer, Michael B Pitt, John Sartori, Scott Lunos, Tamara Kasal, Rubina F Rizvi

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elizabeth S JarrettDepartment of Pediatrics, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN, 55454, United States, 612-365-6777.ORCID http://orcid.org/0000-0002-5154-4177
Alexis QuadeDepartment of Pediatrics, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN, 55454, United States, 612-365-6777.ORCID http://orcid.org/0000-0003-0394-8967
Johannah M ScheurerDepartment of Pediatrics, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN, 55454, United States, 612-365-6777.ORCID http://orcid.org/0000-0002-6554-4901
Michael B PittDepartment of Pediatrics, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN, 55454, United States, 612-365-6777.ORCID http://orcid.org/0000-0002-7123-2613
John SartoriDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0002-3467-9862
Scott LunosBiostatistical Design and Analysis Center, Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0009-0001-0663-4624
Tamara KasalFairview Health Services, Minneapolis, United States.ORCID http://orcid.org/0009-0002-8762-6876
Rubina F RizviCenter for Learning Health Systems, Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, IL, United States.ORCID http://orcid.org/0000-0001-9432-3086

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

Background: While family-centered rounds are considered the standard of care, coordinating the presence of all stakeholders without knowing when the medical team will arrive can make their implementation challenging. To address this barrier, we created novel software, Q-rounds, that is integrated into the electronic health record and creates a real-time rounding queue that updates nurses and family members on medical team rounding time and allows families to join in person or remotely via phone. A previous observational study showed that the implementation of Q-rounds in a neonatal intensive care unit (NICU) led to increased nurse and family presence. Objective: This study aimed to understand clinicians' perceptions of the use of Q-rounds on NICU rounding practices, such as the impact on rounding efficiency and clinician satisfaction, as well as facilitators and barriers in its implementation. Methods: Q-rounds was implemented in the NICU at M Health Fairview Masonic Children's Hospital in May 2023. In this survey study, surveys were distributed to physicians, advanced practice providers, and nurses 6 weeks before implementation and 6 weeks afterward to collect data on the impact of Q-rounds on family-centered rounds. Data were analyzed both quantitatively and qualitatively. Results: There were 118 respondents in the preimplementation phase and 110 in the postimplementation phase. After implementation of Q-rounds, clinicians perceived an increase in nurse presence ("most" or "almost all of the time" n/N= 48/105, 46% to n/N=24/36, 75%; P<.001) and family presence (at least "sometimes" n/N=45/106, 46% to n/N=35/36, 97%; P<.001) on rounds. Respondents perceived rounds as more efficient (n/N=56/105, 53% to n/N=27/36, 75%; P=.006), and more respondents indicated being satisfied with rounds (n/N=59/105, 46% to n/N=62/84, 74%; P=.003). There was no perceived difference in rounding duration. These findings were supported by thematic analysis of open-ended responses. Conclusions: A novel virtual rounding queue software that notifies families and nurses of when to expect the rounding team was associated with increased clinician perceptions of efficiency, participation in rounds by nurses and families, and satisfaction with rounds.

Indexed as

electronic health recordsneonatal intensive care unitsoftwarestandard of caresurveys and questionnaires

Identifiers

PMID42314151
PMCPMC13278618

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.