Evidence map›Paper›PMID 40409028›Full record

ArticleApplied ergonomics2025

Modeling anesthesia medication delivery using the SEIPS 101 tools.

Elise DeForest, Ken Catchpole, Connor Lusk, James H Abernathy, David M Neyens

Abstract read
In one paragraph

Article in Applied ergonomics, 2025. 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

5 authors.

Elise DeForestCollege of Medicine, Medical University of South Carolina, Charleston, SC, USA. Electronic address: deforest@musc.edu.
Ken CatchpoleDepartment of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA.
Connor LuskDepartment of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA.
James H AbernathyDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
David M NeyensDepartment of Industrial Engineering, Department of Bioengineering, Clemson University, Clemson, SC, USA.

Funding

AHRQ HHS R18 HS026625
6 · The paper itself

Abstract

backgroundReducing the risk of patient harm during anesthesia medication administration in perioperative settings has been a long-term goal in patient safety. SEIPS 101 tools, provide a series of practice-orientated techniques to apply systems model in real clinical practice, potentially offering a straightforward approach to mapping perioperative medication delivery systems. Data was collected during direct observations of thirty-eight anesthetics, totaling over 100 h on anesthesia providers' common tasks and interactions with people, environments, tools, and technologies. Observation data, notes, interviews, and literature were organized to create six SEIPS 101 tools demonstrating the complexity of anesthesia medication delivery. The Anesthesia PETT Scan represents the facilitators and barriers associated with differences in individual expertise, preferences, and potential conflict between providers. The People Map demonstrates the wide range of relevant individuals in medication delivery. The Task x Tools Matrix depicts the broad range of interconnected processes to provide anesthesia. The Journey Map describes the path used to deliver a medication. The Anesthesia Work System Interactions Map identifies necessary interactions that providers have with tools, tasks, people, and environment for successful anesthetics. The Outcome Matrix describes various stakeholder experiences and outcomes that contribute to overall system complexity. Identifying and describing the complexity in the anesthesia care delivery system is critical for effective and efficient process-centric interventions. This systems analysis may increase awareness to the limitations of current approaches and improve upon methods and interventions for understanding errors, safety, and the nature of clinical expertise and decision making.

Indexed as

AnesthesiaAnestheticsDrug Delivery SystemsSystems AnalysisHumansPatient SafetyAnestheticsAnesthesia medication deliveryHuman factorsSEIPSSEIPS 101Systems safety

Identifiers

PMID40409028
PMCPMC13463176

What OpenQuestion holds

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Registered trials

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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.