Evidence map›Paper›PMID 31860017›Full record

ArticleJAMA pediatrics2020

Association Between Mobile Telephone Interruptions and Medication Administration Errors in a Pediatric Intensive Care Unit.

Christopher P Bonafide, Jeffrey M Miller, A Russell Localio, Amina Khan, Adam C Dziorny, Mark Mai, Shannon Stemler, Wanxin Chen, John H Holmes, Vinay M Nadkarni and 1 more

Open access · greenAbstract read
In one paragraph

Article in JAMA pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 31 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

11 authors at 4 institutions in 1 country.

Christopher P BonafideSection of Pediatric Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Jeffrey M MillerDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
A Russell LocalioDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Amina KhanDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Adam C DziornyDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Mark MaiDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Shannon StemlerSection of Pediatric Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Wanxin ChenDepartment of Mathematics, Temple University, Philadelphia, Pennsylvania.
John H HolmesDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Vinay M NadkarniDivision of Pediatric Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Ron KerenSection of Pediatric Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · USChristiana Care Health System · USTemple University · US

Funding

Impacts of False Alarms in Critically Ill Patients with Heart and Lung FailureK23HL116427 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI BONAFIDE, CHRISTOPHER PETER · 2014 to 2018
$866k
NHLBI NIH HHS K23 HL116427
6 · The paper itself

Abstract

Importance: Incoming text messages and calls on nurses' mobile telephones may interrupt medication administration, but whether such interruptions are associated with errors has not been established. Objective: To assess whether a temporal association exists between mobile telephone interruptions and subsequent errors by pediatric intensive care unit (PICU) nurses during medication administration. Design, Setting, and Participants: A retrospective cohort study was performed using telecommunications and electronic health record data from a PICU in a children's hospital. Data were collected from August 1, 2016, through September 30, 2017. Participants included 257 nurses and the 3308 patients to whom they administered medications. Exposures: Primary exposures were incoming telephone calls and text messages received on the institutional mobile telephone assigned to the nurse in the 10 minutes leading up to a medication administration attempt. Secondary exposures were the nurse's PICU experience, work shift (day vs night), nurse to patient ratio, and level of patient care required. Main Outcomes and Measures: Primary outcome, errors during medication administration, was a composite of reported medication administration errors and bar code medication administration error alerts generated when nurses attempted to give medications without active orders for the patient whose bar code they scanned. Results: Participants included 257 nurses, of whom 168 (65.4%) had 6 months or more of PICU experience; and 3308 patients, of whom 1839 (55.6%) were male, 1539 (46.5%) were white, and 2880 (87.1%) were non-Hispanic. The overall rate of errors during 238 540 medication administration attempts was 3.1% (95% CI, 3.0%-3.3%) when nurses were uninterrupted by incoming telephone calls and 3.7% (95% CI, 3.4%-4.0%) when they were interrupted by such calls. During day shift, the odds ratios (ORs) for error when interrupted by calls (compared with uninterrupted) were 1.02 (95% CI, 0.92-1.13; P = .73) among nurses with 6 months or more of PICU experience and 1.22 (95% CI, 1.00-1.47; P = .046) among nurses with less than 6 months of experience. During night shift, the ORs for error when interrupted by calls were 1.35 (95% CI, 1.16-1.57; P < .001) among nurses with 6 months or more of PICU experience and 1.53 (95% CI, 1.16-2.03; P = .003) among nurses with less than 6 months of experience. Nurses administering medications to 1 or more patients receiving mechanical ventilation and arterial catheterization while caring for at least 1 other patient had an increased risk of error (OR, 1.21; 95% CI, 1.03-1.42; P = .02). Incoming text messages were not associated with error (OR, 0.97; 95% CI, 0.92-1.02; P = .22). Conclusions and Relevance: This study's findings suggest that incoming telephone call interruptions may be temporally associated with medication administration errors among PICU nurses. Risk of error varied by shift, experience, nurse to patient ratio, and level of patient care required.

Indexed as

Cell PhoneIntensive Care Units, PediatricCohort StudiesFemaleHumansInfant, NewbornMaleMedication ErrorsRetrospective StudiesText Messaging

Identifiers

PMID31860017
PMCPMC6990809
OpenAlexW2995693897

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.