Evidence map›Paper›PMID 31232857›Full record

ArticlePediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2019

Telemedicine for Interfacility Nurse Handoffs.

Monica K Lieng, Heather M Siefkes, Jennifer L Rosenthal, Hadley S Sauers-Ford, Jamie L Mouzoon, Ilana S Sigal, Parul Dayal, Shelby T Chen, Cheryl L McBeth, Sandie Dial and 10 more

Open access · greenAbstract read
In one paragraph

Article in Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Pilot Study of Telehealth Evaluations in Patients Undergoing Hematopoietic Cell Transplantation.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 1 institution in 2 countries.

Monica K LiengAll authors: Department of Pediatrics, University of California Davis, School of Medicine, Davis, CA.
Heather M Siefkes
Jennifer L Rosenthal
Hadley S Sauers-Ford
Jamie L Mouzoon
Ilana S Sigal
Parul Dayal
Shelby T Chen
Cheryl L McBeth
Sandie Dial
Genevieve Dizon
Haley E Dannewitz
Kiersten Kozycz
Torryn L Jennings-Hill
Jennifer M Martinson
Julia K Huerta
Emily A Pons
Nicole Vance
Breanna N Warnock
James P Marcin
Apple (Israel) · IL

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Institutional Career Development Core (KL2)KL2TR001859 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F. · 2016 to 2025
$10.1M
UC Davis CTSC TL1 Administrative Supplement to Recognize Excellence in Diversity, Equity, Inclusion, and Accessibility MentorshipTL1TR001861 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MEDICI, VALENTINA · 2016 to 2025
$4.7M
NCATS NIH HHS KL2 TR001859NCATS NIH HHS TL1 TR001861NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

objectiveTo compare nurse preparedness and quality of patient handoff during interfacility transfers from a pretransfer emergency department to a PICU when conducted over telemedicine versus telephone.

designCross-sectional nurse survey linked with patient electronic medical record data using multivariable, multilevel analysis.

settingTertiary PICU within an academic children's hospital.

participantsPICU nurses who received a patient handoff between October 2017 and July 2018.

interventionsNone. MAIN RESULTS AND MEASUREMENTS: Among 239 eligible transfers, 106 surveys were completed by 55 nurses (44% survey response rate). Telemedicine was used for 30 handoffs (28%), and telephone was used for 76 handoffs (72%). Patients were comparable with respect to age, sex, race, primary spoken language, and insurance, but handoffs conducted over telemedicine involved patients with higher illness severity as measured by the Pediatric Risk of Mortality III score (4.4 vs 1.9; p = 0.05). After adjusting for Pediatric Risk of Mortality III score, survey recall time, and residual clustering by nurse, receiving nurses reported higher preparedness (measured on a five-point adjectival scale) following telemedicine handoffs compared with telephone handoffs (3.4 vs 3.1; p = 0.02). There were no statistically significant differences in both bivariable and multivariable analyses of handoff quality as measured by the Handoff Clinical Evaluation Exercise. Handoffs using telemedicine were associated with increased number of Illness severity, Patient summary, Action list, Situation awareness and contingency planning, Synthesis by receiver components (3.3 vs 2.8; p = 0.04), but this difference was not significant in the adjusted analysis (3.1 vs 2.9; p = 0.55).

conclusionsTelemedicine is feasible for nurse-to-nurse handoffs of critically ill patients between pretransfer and receiving facilities and may be associated with increased perceived and objective nurse preparedness upon patient arrival. Additional research is needed to demonstrate that telemedicine during nurse handoffs improves communication, decreases preventable adverse events, and impacts family and provider satisfaction.

Indexed as

Age FactorsChildChild, PreschoolCommunicationCross-Sectional StudiesElectronic Health RecordsEmergency Service, HospitalFemaleHospitals, PediatricHumansInfantIntensive Care Units, PediatricMaleNursing Staff, HospitalPatient HandoffSeverity of Illness Index

Identifiers

PMID31232857
PMCPMC6726530
OpenAlexW2952761446

What OpenQuestion holds

Textmetadata
LicenceTDM
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.