Evidence map›Paper›PMID 29642247›Full record

ArticleApplied clinical informatics2018

Examining Workflow in a Pediatric Emergency Department to Develop a Clinical Decision Support for an Antimicrobial Stewardship Program.

Mustafa Ozkaynak, Danny T Y Wu, Katia Hannah, Peter S Dayan, Rakesh D Mistry

Abstract read
In one paragraph

Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Effects of a QI intervention on pediatric asthma treatment using patient outcomes and workflow in an emergency department.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Simulating Teamwork for Better Decision Making in Pediatric Emergency Medical Services.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  14. Article
  15. Article
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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

5 authors.

Mustafa OzkaynakCollege of Nursing, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States.
Danny T Y WuDepartment of Biomedical Informatics and Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States.
Katia HannahSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States.
Peter S DayanDivision of Pediatric Emergency Medicine, Department of Pediatrics, Columbia University College of Physicians and Surgeons, New York, New York, United States.
Rakesh D MistrySection of Emergency Medicine, Department of Pediatrics and Emergency Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical decision support (CDS) embedded into the electronic health record (EHR), is a potentially powerful tool for institution of antimicrobial stewardship programs (ASPs) in emergency departments (EDs). However, design and implementation of CDS systems should be informed by the existing workflow to ensure its congruence with ED practice, which is characterized by erratic workflow, intermittent computer interactions, and variable timing of antibiotic prescription.

objectiveThis article aims to characterize ED workflow for four provider types, to guide future design and implementation of an ED-based ASP using the EHR.

methodsWorkflow was systematically examined in a single, tertiary-care academic children's hospital ED. Clinicians with four roles (attending, nurse practitioner, physician assistant, resident) were observed over a 3-month period using a tablet computer-based data collection tool. Structural observations were recorded by investigators, and classified using a predetermined set of activities. Clinicians were queried regarding timing of diagnosis and disposition decision points.

resultsA total of 23 providers were observed for 90 hours. Sixty-four different activities were captured for a total of 6,060 times. Among these activities, nine were conducted at different frequency or time allocation across four roles. Moreover, we identified differences in sequential patterns across roles. Decision points, whereby clinicians then proceeded with treatment, were identified 127 times. The most common decision points identified were: (1) after/during examining or talking to patient or relative; (2) after talking to a specialist; and (3) after diagnostic test/image was resulted and discussed with patient/family.

conclusionThe design and implementation of CDS for ASP should support clinicians in various provider roles, despite having different workflow patterns. The clinicians make their decisions about treatment at different points of overall care delivery practice; likewise, the CDS should also support decisions at different points of care.

Indexed as

Antimicrobial StewardshipDecision Support Systems, ClinicalEmergency Service, HospitalWorkflowChildHumansTertiary Care CentersTime Factors

Identifiers

PMID29642247
PMCPMC5896382

What OpenQuestion holds

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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.