Evidence map›Paper›PMID 35522356›Full record

ArticleJournal of medical systems2022

A System for Computational Assessment of Hand Hygiene Techniques.

Chaofan Wang, Weiwei Jiang, Kangning Yang, Zhanna Sarsenbayeva, Benjamin Tag, Tilman Dingler, Jorge Goncalves, Vassilis Kostakos

Abstract read
In one paragraph

Article in Journal of medical systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Chaofan WangSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia. chaofanw@student.unimelb.edu.au.ORCID http://orcid.org/0000-0001-8213-6582
Weiwei JiangSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.
Kangning YangSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.
Zhanna SarsenbayevaSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.
Benjamin TagSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.
Tilman DinglerSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.
Jorge GoncalvesSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.
Vassilis KostakosSchool of Computing and Information Systems, The University of Melbourne, 700 Swanston St, Carlton, 3053, VIC, Australia.

Funding

National Health and Medical Research Council 1170937National Health and Medical Research Council 2004316
6 · The paper itself

Abstract

The World Health Organization (WHO) recommends a six-step hand hygiene technique. Although multiple studies have reported that this technique yields inadequate skin coverage outcomes, they have relied on manual labeling that provided low-resolution estimations of skin coverage outcomes. We have developed a computational system to precisely quantify hand hygiene outcomes and provide high-resolution skin coverage visualizations, thereby improving hygiene techniques. We identified frequently untreated areas located at the dorsal side of the hands around the abductor digiti minimi and the first dorsal interosseous. We also estimated that excluding Steps 3, 6R, and 6L from the six-step hand hygiene technique leads to cumulative coverage loss of less than 1%, indicating the potential redundancy of these steps. Our study demonstrates that the six-step hand hygiene technique could be improved to reduce the untreated areas and remove potentially redundant steps. Furthermore, our system can be used to computationally validate new proposed techniques, and help optimise hand hygiene procedures.

Indexed as

Cross InfectionHand HygieneHandHand DisinfectionHumansMuscle, SkeletalUpper ExtremityWorld Health Organizationhand hygienehandrubhealthcare-associated infectionsnosocomial infectionssix-step hand hygiene technique

Identifiers

PMID35522356
PMCPMC9076723

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.