Evidence map›Paper›PMID 36483392›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2022

Comparing human to electronic observers to monitor hand hygiene compliance in an intensive care unit.

Eduardo Casaroto, Jose R Generoso, Ary Serpa Neto, Marcelo Prado, Guilherme M Gagliardi, Fernando Gatti de Menezes, Priscila Gonçalves, Fábio Barlem Hohmann, Guilherme Benfatti Olivato, Gustavo Potratz Gonçalves and 4 more

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2022. 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
0.9field-weighted citation impact, top 25% 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, 9 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 4 institutions in 3 countries.

Eduardo CasarotoHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Jose R GenerosoHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-0602-1481
Ary Serpa NetoHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-1520-9387
Marcelo PradoUniversidade de São Paulo, São Carlos, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-5042-7948
Guilherme M GagliardiUniversidade de São Paulo, São Carlos, São Paulo, Brazil.
Fernando Gatti de MenezesHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Priscila GonçalvesHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Fábio Barlem HohmannHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-2863-8298
Guilherme Benfatti OlivatoHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Gustavo Potratz GonçalvesHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Nathalia XavierHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Marcelo Fernandes MiguelHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Michael B EdmondWest Virginia University School of Medicine, Morgantown, West Virginia, United States.
Alexandre R MarraHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7577-7688
Hospital Israelita Albert Einstein · BRUniversidade de São Paulo · BRUniversity of Iowa · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We sought to determine whether an electronic hand hygiene (HH) system could monitor HH compliance at similar rates to direct human observation. Methods: This 4-year proof-of-concept study was conducted in an intensive care unit (ICU) of a private tertiary-care hospital in São Paulo, Brazil, where electronic HH systems were installed in 2 rooms. HH compliance was reported respectively using direct observation and electronic counter devices with an infrared system for detecting HH opportunities. Results: In phase 1, HH compliance by human observers was 56.3% (564 of 1,001 opportunities), while HH compliance detected by the electronic observer was 51.0% (515 of 1,010 opportunities). In phase 2, human observers registered 484 HH opportunities with a HH compliance rate of 64.7% (313 of 484) versus 70.6% (346 of 490) simultaneously detected by the electronic system. In addition, an enhanced HH electronic system monitored activity 24 hours per day and HH compliance without the presence of a human observer was 40.3% (10,642 of 26,421 opportunities), providing evidence for the Hawthorne effect. Conclusions: The electronic HH monitoring system had good correlation with human HH observation, but compliance was remarkably lower when human observers were not present due to the Hawthorne effect (25%-30% absolute difference). Electronic monitoring systems can replace direct observation and can markedly reduce the Hawthorne effect.

Identifiers

PMID36483392
PMCPMC9726540
OpenAlexW4311018610

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.