Evidence map›Paper›PMID 27270785›Full record

ArticleJournal of clinical monitoring and computing2017

Comparison of minute distribution frequency for anesthesia start and end times from an anesthesia information management system and paper records.

Michael Phelps, Asad Latif, Robert Thomsen, Martin Slodzinski, Rahul Raghavan, Sharon Leigh Paul, Jerry Stonemetz

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of clinical monitoring and computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Michael PhelpsDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine, 601 N. Caroline Street, JHOC B165A, Baltimore, MD, 21287-0712, USA.
Asad LatifDepartment of Anesthesiology and Critical Care Medicine, Core Faculty, Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, MD, USA.
Robert ThomsenDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine, 601 N. Caroline Street, JHOC B165A, Baltimore, MD, 21287-0712, USA.
Martin SlodzinskiDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine, 601 N. Caroline Street, JHOC B165A, Baltimore, MD, 21287-0712, USA.
Rahul RaghavanDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine, 601 N. Caroline Street, JHOC B165A, Baltimore, MD, 21287-0712, USA.
Sharon Leigh PaulDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine, 601 N. Caroline Street, JHOC B165A, Baltimore, MD, 21287-0712, USA.
Jerry StonemetzDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine, 601 N. Caroline Street, JHOC B165A, Baltimore, MD, 21287-0712, USA. Jstonemetz@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of an anesthesia information management system (AIMS) has been reported to improve accuracy of recorded information. We tested the hypothesis that analyzing the distribution of times charted on paper and computerized records could reveal possible rounding errors, and that this effect could be modulated by differences in the user interface for documenting certain event times with an AIMS. We compared the frequency distribution of start and end times for anesthesia cases completed with paper records and an AIMS. Paper anesthesia records had significantly more times ending with "0" and "5" compared to those from the AIMS (p < 0.001). For case start times, AIMS still exhibited end-digit preference, with times whose last digits had significantly higher frequencies of "0" and "5" than other integers. This effect, however, was attenuated compared to that for paper anesthesia records. For case end times, the distribution of minutes recorded with AIMS was almost evenly distributed, unlike those from paper records that still showed significant end-digit preference. The accuracy of anesthesia case start times and case end times, as inferred by statistical analysis of the distribution of the times, is enhanced with the use of an AIMS. Furthermore, the differences in AIMS user interface for documenting case start and case end times likely affects the degree of end-digit preference, and likely accuracy, of those times.

Indexed as

AnesthesiaOperating Room Information SystemsAnesthesiologyData CollectionElectronic Health RecordsHumansMonitoring, IntraoperativeOperating RoomsReproducibility of ResultsResearch DesignRetrospective StudiesSoftwareTime FactorsUser-Computer InterfaceAnesthesia information management systemAnesthesia timesEnd-digit preference

Identifiers

PMID27270785

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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.