ArticleApplied ergonomics2024
Revealing complex interdependencies in surgical instrument reprocessing using SEIPS 101 tools.
Article in Applied ergonomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Preventing Improperly Reprocessed Instruments.AORN journal · 2026Article
- Using SEIPS 101 Tools to Model Surgical Count Processes.Journal of patient safety · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Sterile Processing Departments (SPDs) must clean, maintain, store, and organize surgical instruments which are then delivered to Operating Rooms (ORs) using a Courier Network, with regular coordination occurring across departmental boundaries. To represent these relationships, we utilized the Systems Engineering Initiative for Patient Safety (SEIPS) 101 Toolkit, which helps model how health-related outcomes are affected by healthcare work systems. Through observations and interviews which built on prior work system analyses, we developed a SEIPS 101 journey map, PETT scan, and tasks matrices to represent the instrument reprocessing work system, revealing complex interdependencies between the people, tools, and tasks occurring within it. The SPD, OR and Courier teams are found to have overlapping responsibilities and a clear co-dependence, with critical implications for the successful functioning of the whole hospital system.
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Registered trials
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.