Evidence map›Paper›PMID 35235954›Full record

ArticleAmerican journal of perinatology2023

Reducing Alarm Fatigue in Maternal Monitoring on Labor and Delivery: A Commentary on Deimplementation in Obstetrics.

Adina R Kern-Goldberger, Rebecca F Hamm, Nandini Raghuraman, Sindhu K Srinivas

Open access · greenAbstract read
In one paragraph

Article in American journal of perinatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Adina R Kern-GoldbergerDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-7932-1987
Rebecca F HammDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Nandini RaghuramanDepartment of Obstetrics and Gynecology, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Sindhu K SrinivasDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USWashington University in St. Louis · US

Funding

A standardized labor induction protocol to reduce primary cesarean and racial disparities in labor outcomes: a prospective cohort studyK23HD102523 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI HAMM, REBECCA FELDMAN · 2020 to 2023
$680k
NICHD NIH HHS K23 HD102523
6 · The paper itself

Abstract

Hospital labor and delivery floors frequently operate like intensive care units (ICUs)-with continuous data feeds pouring into central monitoring stations against a background of blaring alarms. Yet the majority of obstetric patients are healthy and do not require ICU-level care. Despite limited organizational recommendations guiding the frequency of vital sign measurement, continuous pulse oximetry is used widely for laboring patients. There is also no evidence that morbidity prevention is linked to specific frequencies of vital sign monitoring in low-risk patients. In fact, studies examining the performance of maternal early warnings systems based on vital signs suggest that these may not reliably provide actionable information regarding maternal physiologic status. Furthermore, it is very possible that intrapartum maternal overmonitoring can impact care negatively by generating alarm fatigue, causing providers to miss actual abnormal vital signs that may precede morbidity. KEY POINTS: · Labor and delivery units may engage in maternal physiologic overmonitoring.. · Overmonitoring increases risk for alarm fatigue.. · Deimplementing low-value care may improve obstetric outcomes..

Indexed as

Clinical AlarmsLabor, ObstetricObstetricsFemaleHumansIntensive Care UnitsMonitoring, PhysiologicPregnancy

Identifiers

PMID35235954
PMCPMC10134101
OpenAlexW4214856884

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.