Evidence map›Paper›PMID 35156004›Full record

ArticleJAMIA open2022

Measuring intraoperative surgical instrument use with radio-frequency identification.

Ian Hill, Lindsey Olivere, Joshua Helmkamp, Elliot Le, Westin Hill, John Wahlstedt, Phillip Khoury, Jared Gloria, Marc J Richard, Laura H Rosenberger and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Day in the Life of a Surgical Instrument: The Cycle of Sterilization.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Review
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 3 institutions in 1 country.

Ian HillPratt School of Engineering, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0001-7272-5383
Lindsey OlivereSchool of Medicine, Duke University, Durham, North Carolina, USA.
Joshua HelmkampSchool of Medicine, Duke University, Durham, North Carolina, USA.
Elliot LeSchool of Medicine, Duke University, Durham, North Carolina, USA.
Westin HillDepartment of Neurosurgery, Duke University Hospital, Durham, North Carolina, USA.
John WahlstedtPratt School of Engineering, Duke University, Durham, North Carolina, USA.
Phillip KhourySchool of Medicine, Duke University, Durham, North Carolina, USA.
Jared GloriaSchool of Medicine, Duke University, Durham, North Carolina, USA.
Marc J RichardDepartment of Orthopeadics, Duke University Medical Center, Durham, North Carolina, USA.
Laura H RosenbergerDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.
Patrick J CoddPratt School of Engineering, Duke University, Durham, North Carolina, USA.
Duke University · USDuke Medical Center · USDuke University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSurgical instrument oversupply drives cost, confusion, and workload in the operating room. With an estimated 78%-87% of instruments being unused, many health systems have recognized the need for supply refinement. By manually recording instrument use and tasking surgeons to review instrument trays, previous quality improvement initiatives have achieved an average 52% reduction in supply. While demonstrating the degree of instrument oversupply, previous methods for identifying required instruments are qualitative, expensive, lack scalability and sustainability, and are prone to human error. In this work, we aim to develop and evaluate an automated system for measuring surgical instrument use. MATERIALS AND

methodsWe present the first system to our knowledge that automates the collection of real-time instrument use data with radio-frequency identification (RFID). Over 15 breast surgeries, 10 carpometacarpal (CMC) arthroplasties, and 4 craniotomies, instrument use was tracked by both a trained observer manually recording instrument use and the RFID system.

resultsThe average Cohen's Kappa agreement between the system and the observer was 0.81 (near perfect agreement), and the system enabled a supply reduction of 50.8% in breast and orthopedic surgery. Over 10 monitored breast surgeries and 1 CMC arthroplasty with reduced trays, no eliminated instruments were requested, and both trays continue to be used as the supplied standard. Setup time in breast surgery decreased from 23 min to 17 min with the reduced supply.

conclusionThe RFID system presented herein achieves a novel data stream that enables accurate instrument supply optimization.

Indexed as

efficiencyradio-frequency identificationsupply optimizationsurgerysurgical instrument

Identifiers

PMID35156004
PMCPMC8827029
OpenAlexW4205652731

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.