Evidence map›Paper›PMID 34565497›Full record

ArticleAmerican journal of infection control2021

Capturing portable medical equipment disinfection data via an automated novel disinfection tracking system.

Julie Ann Martel, Piyali Chatterjee, John David Coppin, Marjory Williams, Hosoon Choi, Mark Stibich, Sarah Simmons, Deborah Passey, Chetan Jinadatha

Open access · hybridAbstract read
In one paragraph

Article in American journal of infection control, 2021. 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
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Julie Ann MartelDepartment of Research, Central Texas Veterans Health Care System, Temple, TX.
Piyali ChatterjeeDepartment of Research, Central Texas Veterans Health Care System, Temple, TX.
John David CoppinDepartment of Research, Central Texas Veterans Health Care System, Temple, TX.
Marjory WilliamsDepartment of Nursing Research, Central Texas Veterans Health Care System, Temple, TX.
Hosoon ChoiDepartment of Research, Central Texas Veterans Health Care System, Temple, TX.
Mark StibichAnderson Cancer Center, Xenex Disinfection Services, San Antonio, TX.
Sarah SimmonsAnderson Cancer Center, Xenex Disinfection Services, San Antonio, TX.
Deborah PasseyAnderson Cancer Center, Xenex Disinfection Services, San Antonio, TX.
Chetan JinadathaDepartment of Medicine, Central Texas Veterans Health Care System, Temple, TX. Electronic address: Chetan.Jinadatha@va.gov.
Central Texas Veterans Health Care System · USXenex Disinfection Services (United States) · US

Funding

Improving Patient Outcomes through Tracking and Displaying the Disinfection Status of Equipment and AreaR44NR016638 · NINR · XENEX DISINFECTION SERVICES, LLC · PI STIBICH, MARK A · 2018 to 2019
$942k
NINR NIH HHS R44 NR016638
6 · The paper itself

Abstract

backgroundPortable Medical Equipment (PME) such as workstations-on-wheels (WOWs) and vital signs machines (VMs) have been linked to healthcare-associated infections. Routine visual monitoring of PME disinfection is difficult. An automated Disinfection Tracking System (DTS) was used to record and report the number of disinfection events of PME in a hospital setting.

methodsThe study was conducted in 2 acute-care units for 25-days to determine the pattern of recorded events from DTS on PME. Devices record disinfection events as moisture events and automatically store on a central database. DTS devices with "screen-on" feedback and "screen-off" devices with no display were placed on 10 WOWs and 5 VMs on separate units.

resultsA total of 421 moisture events were recorded for the "screen-on" and 345 for the "screen-off", during the 25-day implementation period on the 2 different hospital units. The highest number of events occurred between 6:00am-7:00am, with 69 & 75 moisture events recorded for Units 1 and 2, respectively.

conclusionsThe pattern of disinfection events for WOWs and VMs demonstrated that most events occurred regularly at the times corresponding with nursing shift change. The DTS has the potential to continuously record, and report data related to PME disinfection.

Indexed as

Cross InfectionDisinfectionEquipment ContaminationHospitalsHumansDisinfection tracking system (DTS)Healthcare-associated infections (HAIs)Portable medical equipment (PME)

Identifiers

PMID34565497
PMCPMC8480426
OpenAlexW3202326020

What OpenQuestion holds

Textmetadata
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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.