Evidence map›Paper›PMID 28925587›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2018

Lessons Learned From the Development and Parameterization of a Computer Simulation Model to Evaluate Task Modification for Health Care Providers.

Parastu Kasaie, W David Kelton, Rachel M Ancona, Michael J Ward, Craig M Froehle, Michael S Lyons

Abstract readConsensus StatementValidation Study
In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Parastu KasaieBloomberg School of Public Health, Department of Health, Behavior and Society, Johns Hopkins University, Baltimore, MD.
W David KeltonDepartment of Operations, Business Analytics & Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH.
Rachel M AnconaDepartment of Emergency Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH.
Michael J WardDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN.
Craig M FroehleDepartment of Operations, Business Analytics & Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH.
Michael S LyonsDepartment of Emergency Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH.

Funding

Simulating the Operational Consequences of HIV Screening in the Emergency DepartmR01HS021749 · AHRQ · UNIVERSITY OF CINCINNATI · PI LYONS, MICHAEL S · 2012 to 2016
$1.2M
Enhancing Inter-Facility Transfer for Patients with Acute Myocardial InfarctionK23HL127130 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WARD, MICHAEL J. · 2016 to 2019
$642k
AHRQ HHS R01 HS021749NHLBI NIH HHS K23 HL127130
6 · The paper itself

Abstract

Computer simulation is a highly advantageous method for understanding and improving health care operations with a wide variety of possible applications. Most computer simulation studies in emergency medicine have sought to improve allocation of resources to meet demand or to assess the impact of hospital and other system policies on emergency department (ED) throughput. These models have enabled essential discoveries that can be used to improve the general structure and functioning of EDs. Theoretically, computer simulation could also be used to examine the impact of adding or modifying specific provider tasks. Doing so involves a number of unique considerations, particularly in the complex environment of acute care settings. In this paper, we describe conceptual advances and lessons learned during the design, parameterization, and validation of a computer simulation model constructed to evaluate changes in ED provider activity. We illustrate these concepts using examples from a study focused on the operational effects of HIV screening implementation in the ED. Presentation of our experience should emphasize the potential for application of computer simulation to study changes in health care provider activity and facilitate the progress of future investigators in this field.

Indexed as

Computer SimulationDelivery of Health Care, IntegratedEmergency MedicineEmergency Service, HospitalHumansMass Screening

Identifiers

PMID28925587
PMCPMC5880547

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.