Evidence map›Paper›PMID 35611641›Full record

Trial reportHospital pediatrics2022

Clinical Decision Support for Newborn Weight Loss: A Randomized Controlled Trial.

Valerie J Flaherman, Andrew Robinson, Jennifer Creasman, Charles E McCulloch, Ian M Paul, Mark J Pletcher

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Hospital pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Valerie J FlahermanUniversity of California, San Francisco, California.
Andrew RobinsonUniversity of California, San Francisco, California.
Jennifer CreasmanUniversity of California, San Francisco, California.
Charles E McCullochUniversity of California, San Francisco, California.
Ian M PaulPenn State College of Medicine, Hershey, Pennsylvania.
Mark J PletcherUniversity of California, San Francisco, California.
University of California, San Francisco · USPenn State Milton S. Hershey Medical Center · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
NCATS NIH HHS UL1 TR001872
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe Newborn Weight Tool (NEWT) can inform newborn feeding decisions and might reduce health care utilization by preventing excess weight loss. Clinical decision support (CDS) displaying NEWT might facilitate its use. Our study's objective is to determine the effect of CDS displaying NEWT on feeding and health care utilization.

methodsAt an hospital involved in NEWT development, we randomly assigned 2682 healthy infants born ≥36 weeks gestation in 2018-2019 either to CDS displaying NEWT with an electronic flag if most recent weight was ≥75th weight loss centile or to a control of usual care with NEWT accessed at clinician discretion. Our primary outcome was feeding type concordant with weight loss, defined as exclusive breastfeeding for those not flagged, exclusive breastfeeding or supplementation for those flagged once, and supplementation for those flagged more than once. Secondary outcomes included inpatient and outpatient utilization in the first 30 days. We used χ2 and Student's t tests to compare intervention infants with control and to compare trial infants with those born in 2017.

resultsFeeding was concordant with for 1854 (74.5%) trial infants and did not differ between randomized groups (P = .65); concordant feeding was higher for all trial infants than for infants born in 2017 (64.4%; P < .0005). Readmission occurred for 51 (3.8%) CDS infants and 45 (3.4%) control infants (P = .56). Among the 60% of trial infants with outpatient records available, there were 3.5 ± 1.7 visits with no differences between randomized groups (P = .10).

conclusionsAt an hospital involved in NEWT development, CDS displaying NEWT did not alter either feeding or health care utilization compared with discretionary NEWT access.

Indexed as

Decision Support Systems, ClinicalBreast FeedingChild, PreschoolFemaleGestational AgeHumansInfantInfant, NewbornPatient Acceptance of Health CareWeight Loss

Identifiers

PMID35611641
PMCPMC13423611
OpenAlexW4281484849

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.