Evidence map›Paper›PMID 34052312›Full record

ArticleAmerican journal of infection control2021

Implementing an electronic hand hygiene system improved compliance in the intensive care unit.

Qian Xu, Yang Liu, Darius Cepulis, Ann Jerde, Rachel A Sheppard, Kaitlin Tretter, Leah Oppy, Gina Stevenson, Sarah Bishop, Sean P Clifford and 3 more

Abstract read
PubMed Full text at PMC Publisher
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
–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

2 citing papers in PubMed.

  1. Observational
  2. Observational
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

13 authors.

Qian XuDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY.
Yang LiuMicrosensor Labs, LLC, Chicago, IL.
Darius CepulisMicrosensor Labs, LLC, Chicago, IL.
Ann JerdeClinical Trials Unit, University of Louisville, Louisville, KY.
Rachel A SheppardClinical Trials Unit, University of Louisville, Louisville, KY.
Kaitlin TretterDepartment of Infection Control and Prevention, University of Louisville Health, Louisville, KY.
Leah OppyDepartment of Infection Control and Prevention, University of Louisville Health, Louisville, KY.
Gina StevensonDepartment of Infection Control and Prevention, University of Louisville Health, Louisville, KY.
Sarah BishopDepartment of Infection Control and Prevention, University of Louisville Health, Louisville, KY.
Sean P CliffordDepartment of Anesthesiology & Perioperative Medicine, School of Medicine, University of Louisville, Louisville, KY.
Peng LiuMicrosensor Labs, LLC, Chicago, IL.
Maiying KongMicrosensor Labs, LLC, Chicago, IL. Electronic address: maiying.kong@louisville.edu.
Jiapeng HuangDepartment of Anesthesiology & Perioperative Medicine, School of Medicine, University of Louisville, Louisville, KY; Department of Cardiovascular & Thoracic Surgery, School of Medicine, University of Louisville, Louisville, KY; Division of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, Louisville, KY; Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY. Electronic address: jiapeng.huang@louisville.edu.

Funding

University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
A Handheld Microchip for GC analysis of breath to screen for COVID-19U18TR003787 · NCATS · UNIVERSITY OF LOUISVILLE · PI FU, XIAO-AN, NANTZ, MICHAEL H · 2021 to 2022
$2.0M
A wearable sensor system for hand hygiene compliance trackingR44AG060848 · NIA · MICROSENSOR LABS, LLC · PI LIU, PENG PAUL · 2018 to 2020
$1.7M
A Sensor-based Platform for Hand Hygiene Tracking and AnalysisR43NR017372 · NINR · MICROSENSOR LABS, LLC · PI LIU, PENG PAUL · 2018 to 2018
$225k
NCATS NIH HHS U18 TR003787NIA NIH HHS R44 AG060848NIEHS NIH HHS P30 ES030283NINR NIH HHS R43 NR017372
6 · The paper itself

Abstract

backgroundHand hygiene (HH) compliance is low and difficult to improve among health care workers. We aim to validate an electronic HH system and assess the impact of this system on HH compliance and quality changes over time at both group and individual levels.

methodsAn automated electronic HH system was installed in a 10-bed surgical intensive care unit.

resultsThe full HH compliance rate increased significantly from 8.4% in week 1 to 20.5% in week 16 with week 10 being the highest (27.4%). The partial compliance rate maintained relative consistency between 13.2% and 20.0%. The combined compliance rate (full compliance rate + partial compliance rate) increased from 23.5% in week 1 to 34.6% in week 16 with week 10 being the highest (41.4%). DISCUSSION: We found significant variations among providers in terms of HH opportunities per shift, full compliance, partial compliance and combined compliance rates. The average duration of hand rubbing over time in partial compliance occurrences did not change significantly over time.

conclusionsA sensor-based platform with automated HH compliance and quality monitoring, real time feedback and comprehensive individual level analysis, improved providers' HH compliance in an intensive care unit. There were significant variations among individual providers.

Indexed as

Cross InfectionHand HygieneElectronicsGuideline AdherenceHealth PersonnelHumansInfection ControlIntensive Care UnitsElectronic monitoringHand hygieneHospital acquiredInfection controlInfection prevention

Identifiers

PMID34052312
PMCPMC8668401

What OpenQuestion holds

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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.