Evidence map›Paper›PMID 31504592›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Effect of default order set settings on telemetry ordering.

David Rubins, Robert Boxer, Adam Landman, Adam Wright

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

David RubinsDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Robert BoxerDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Adam LandmanHarvard Medical School, Boston, Massachusetts, USA and.
Adam WrightDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effects of adjusting the default order set settings on telemetry usage. MATERIALS AND

methodsWe performed a retrospective, controlled, before-after study of patients admitted to a house staff medicine service at an academic medical center examining the effect of changing whether the admission telemetry order was pre-selected or not. Telemetry orders on admission and subsequent orders for telemetry were monitored pre- and post-change. Two other order sets that had no change in their default settings were used as controls.

resultsBetween January 1, 2017 and May 1, 2018, there were 1, 163 patients admitted using the residency-customized version of the admission order set which initially had telemetry pre-selected. In this group of patients, there was a significant decrease in telemetry ordering in the post-intervention period: from 79.1% of patients in the 8.5 months prior ordered to have telemetry to 21.3% of patients ordered in the 7.5 months after (χ2 = 382; P < .001). There was no significant change in telemetry usage among patients admitted using the two control order sets. DISCUSSION: Default settings have been shown to affect clinician ordering behavior in multiple domains. Consistent with prior findings, our study shows that changing the order set settings can significantly affect ordering practices. Our study was limited in that we were unable to determine if the change in ordering behavior had significant impact on patient care or safety.

conclusionDecisions about default selections in electronic health record order sets can have significant consequences on ordering behavior.

Indexed as

Medical Order Entry SystemsPractice Patterns, Physicians'TelemetryAcademic Medical CentersHumansInternship and ResidencyMedical Staff, HospitalRetrospective Studiesdefault order set settingsmedical order entry systemsoverutilizationtelemetry

Identifiers

PMID31504592
PMCPMC7647164

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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.