Evidence map›Paper›PMID 31555756›Full record

ArticleIISE transactions on occupational ergonomics and human factors2018

Improving daily patient room cleaning: an observational study using a human factors and systems engineering approach.

Anping Xie, Clare Rock, Yea-Jen Hsu, Patience Osei, Jennifer Andonian, Verna Scheeler, Sara C Keller, Sara E Cosgrove, Ayse P Gurses, Centers for Disease Control and Prevention (CDC) Prevention Epicenter Program

Abstract read
In one paragraph

Article in IISE transactions on occupational ergonomics and human factors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Targeted gown and glove use to preventInfection control and hospital epidemiology · 2021
    Article
  7. 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.

Anping XieArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Clare RockArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Yea-Jen HsuArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Patience OseiArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Jennifer AndonianHospital Epidemiology and Infection Control, Johns Hopkins Hospital, Baltimore, MD.
Verna ScheelerMedicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD.
Sara C KellerArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Sara E CosgroveArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Ayse P GursesArmstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD.
Centers for Disease Control and Prevention (CDC) Prevention Epicenter Program

Funding

ACL HHS U54CK000447NCEZID CDC HHS U54 CK000447
6 · The paper itself

Abstract

backgroundWhile playing a critical role in preventing healthcare-associated infections, patient room cleaning is often unsatisfactorily performed. To improve patient room cleaning, a human factors and systems engineering (HFSE) approach is needed to understand the complex cleaning process and associated work system factors. PURPOSE: We conducted an observational study to assess the performance of environmental care (EVC) associates during daily patient room cleaning and identify work system factors influencing their performance.

methodsThis study was conducted in eight adult medicine inpatient units at a large urban academic medical center. An HFSE researcher shadowed 10 day-shift EVC associates performing daily patient room cleanings and used a semi-structured observation form to collect quantitative data (e.g., duration of room cleaning, orders for surface cleaning) and qualitative data (e.g., challenges to patient room cleaning). Descriptive statistics (e.g., median, interquartile range) were reported for cleaning performance, and bivariate and regression analyses were conducted to identify factors influencing cleaning performance. We also performed link analyses of the workflow of EVC associates and qualitative analyses of observer notes to identify challenges to daily patient room cleaning.

resultsWe observed 89 patient room cleanings. Median duration of cleaning a room was 14 minutes, and median percentage of surfaces cleaned in a room was 63%. High-touch surfaces that were frequently missed during daily cleaning included the bedrails, telephone, patient and visitor chairs, and cabinet. Work system factors that could influence cleaning performance included the type of unit, the presence of the patient and family members in the room, cleaning patterns and orders of EVC associates, and interruptions EVC associates encountered while cleaning.

conclusionsDaily patient room cleaning was influenced by a number of work system factors. To improve daily patient room cleaning, multifaceted interventions are needed to address these system-level factors.

Indexed as

daily patient room cleaninghealthcare environmental hygienehuman factors engineeringInfection controlobservationssystems approach

Identifiers

PMID31555756
PMCPMC6760906

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Registered trials

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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.