Evidence map›Paper›PMID 35575780›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2022

Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial.

Karen C Nanji, Pamela M Garabedian, Marin E Langlieb, Angela Rui, Leo L Tabayoyong, Michael Sampson, Hao Deng, Aziz Boxwala, Rebecca D Minehart, David W Bates

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 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
4.3field-weighted citation impact, top 5% 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, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. 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

10 authors at 2 institutions in 1 country.

Karen C NanjiDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-1347-1640
Pamela M GarabedianMass General Brigham, Inc., Somerville, Massachusetts, USA.ORCID 0000-0002-4346-7968
Marin E LangliebDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-7614-5933
Angela RuiMass General Brigham, Inc., Somerville, Massachusetts, USA.
Leo L TabayoyongDepartment of Pharmacy, Massachusetts General Hospital, Boston, Massachusetts, USA.
Michael SampsonLearning Laboratory, Massachusetts General Hospital, Boston, Massachusetts, USA.
Hao DengDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Aziz BoxwalaElimu Informatics, Inc., La Jolla, California, USA.
Rebecca D MinehartDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
David W BatesHarvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-6268-1540
Political Research Associates · USMassachusetts General Hospital · US

Funding

Preventing Perioperative Medication Errors and Adverse Drug Events Through the Use of Clinical Decision SupportK08HS024764 · AHRQ · MASSACHUSETTS GENERAL HOSPITAL · PI NANJI, KAREN C · 2016 to 2020
$793k
AHRQ HHS K08 HS024764Doris Duke Charitable Foundation #2018093Doris Duke Charitable Foundation (DDCF 2018093
6 · The paper itself

Abstract

objectiveWe developed a comprehensive, medication-related clinical decision support (CDS) software prototype for use in the operating room. The purpose of this study was to compare the usability of the CDS software to the current standard electronic health record (EHR) medication administration and documentation workflow. MATERIALS AND

methodsThe primary outcome was the time taken to complete all simulation tasks. Secondary outcomes were the total number of mouse clicks and the total distance traveled on the screen in pixels. Forty participants were randomized and assigned to complete 7 simulation tasks in 1 of 2 groups: (1) the CDS group (n = 20), who completed tasks using the CDS and (2) the Control group (n = 20), who completed tasks using the standard medication workflow with retrospective manual documentation in our anesthesia information management system. Blinding was not possible. We video- and audio-recorded the participants to capture quantitative data (time on task, mouse clicks, and pixels traveled on the screen) and qualitative data (think-aloud verbalization).

resultsThe CDS group mean total task time (402.2 ± 85.9 s) was less than the Control group (509.8 ± 103.6 s), with a mean difference of 107.6 s (95% confidence interval [CI], 60.5-179.5 s, P < .001). The CDS group used fewer mouse clicks (26.4 ± 4.5 clicks) than the Control group (56.0 ± 15.0 clicks) with a mean difference of 29.6 clicks (95% CI, 23.2-37.6, P < .001). The CDS group had fewer pixels traveled on the computer monitor (59.5 ± 20.0 thousand pixels) than the Control group (109.3 ± 40.8 thousand pixels) with a mean difference of 49.8 thousand pixels (95% CI, 33.0-73.7, P < .001).

conclusionsThe perioperative medication-related CDS software prototype substantially outperformed standard EHR workflow by decreasing task time and improving efficiency and quality of care in a simulation setting.

Indexed as

Decision Support Systems, ClinicalDocumentationElectronic Health RecordsHumansRetrospective StudiesSoftwareanesthesiaclinical decision support systemsdrug safetyrandomized controlled trialusability testing

Identifiers

PMID35575780
PMCPMC9277651
OpenAlexW4214585109

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.