Evidence map›Paper›PMID 31730181›Full record

ArticleJAMA network open2019

Association of an Electronic Health Record Add-on App for Neonatal Bilirubin Management With Physician Efficiency and Care Quality.

Kensaku Kawamoto, Polina Kukhareva, Julie H Shakib, Heidi Kramer, Salvador Rodriguez, Phillip B Warner, David Shields, Charlene Weir, Guilherme Del Fiol, Teresa Taft and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Evaluation of an electronic health record Drug Interaction Customization Editor (DICE).American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
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  17. Feeling and thinking: can theories of human motivation explain how EHR design impacts clinician burnout?Journal of the American Medical Informatics Association : JAMIA · 2021
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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 1 institution in 1 country.

Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Polina KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Julie H ShakibDepartment of Pediatrics, University of Utah, Salt Lake City.
Heidi KramerDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Salvador RodriguezDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Phillip B WarnerDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
David ShieldsDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Charlene WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Teresa TaftDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Carole H StipelmanDepartment of Pediatrics, University of Utah, Salt Lake City.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The usefulness of electronic health record (EHR) systems could be significantly enhanced by innovative, third-party EHR add-on apps. Objective: To evaluate whether an EHR add-on app for neonatal bilirubin management can save clinicians time and improve patient care. Design, Setting, and Participants: This quality improvement study was conducted at the University of Utah Health Well Baby nursery and outpatient clinics and consisted of 4 substudies: (1) time savings were estimated in an experimental task-timing study comparing the time required for physicians to manage newborns' bilirubin levels with and without the add-on app, (2) app use was estimated from app logs, (3) health care use measures and guideline compliance were compared retrospectively before and after the intervention, and (4) clinician-perceived usability was measured through System Usability Scale surveys. The study took place between April 1, 2016, and September 3, 2019. Data analyses were conducted from October 30, 2018, to September 23, 2019. Interventions: At baseline, clinicians used a manual approach to ensure compliance with an evidence-based clinical guideline for neonatal bilirubin management. To facilitate guideline compliance, an EHR add-on app that automatically retrieves, organizes, and visualizes relevant patient data was developed. The app provides patient-specific assessments and recommendations, including the risk of rebound hyperbilirubinemia following phototherapy based on a predictive model. The add-on app was integrated with the University of Utah Health EHR on April 12, 2017. Main Outcomes and Measures: Clinician time savings, app use, health care use measures, guideline-compliant phototherapy ordering, and perceived usability as measured by the System Usability Scale survey. The survey is composed of 10 statements with responses ranging from 1 (strongly disagree) to 5 (strongly agree). The survey results in a single score ranging from 0 to 100, with ratings described as worst imaginable (mean System Usability Scale score, 12.5), awful (20.3), poor (35.7), okay (50.9), good (71.4), excellent (85.5), and best imaginable (90.9). Results: In 2018, the application was used 20 516 times by clinicians for 91.84% of eligible newborns. Use of the app saved 66 seconds for bilirubin management tasks compared with a commonly used tool (95% CI, 53-79 seconds; P < .001). Following the intervention, health care use rates remained stable, while orders for clinically appropriate phototherapy during hospitalization increased for newborns with bilirubin levels above the guideline-recommended threshold (odds ratio, 1.84; 95% CI, 1.16-2.90; P = .009). Surveys indicated excellent usability (System Usability Scale score, 83.90; 95% CI, 81.49-86.31). Conclusions and Relevance: Well-designed EHR add-on apps may save clinicians time and improve patient care. If time-saving apps, such as the bilirubin app, were implemented widely across institutions and care domains, the potential association with improved patient care and clinician efficiency could be significant. The University of Utah Health bilirubin app is being prepared for release into EHR app stores as free-to-use software.

Indexed as

Electronic Health RecordsMobile ApplicationsBilirubinEfficiencyFemaleGuideline AdherenceHealth Care SurveysHumansHyperbilirubinemiaInfant, NewbornMalePediatricsQuality ImprovementQuality of Health CareRetrospective StudiesTime FactorsBilirubin

Identifiers

PMID31730181
PMCPMC6902796
OpenAlexW2984073723

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.