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Environmental contamination and cleaning practices in long-term care: a transdisciplinary mixed-methods study

Published online by Cambridge University Press:  07 April 2026

Morgan Jane Katz*
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Alejandra B. Salinas
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Heather Stoltzfus
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Yea-Jen Hsu
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Kellogg Schwab
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Natalie Exum
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Abigail Vorsteg
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Matiza Florena Sacotingo
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Caroline Coulter
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Sara Cosgrove
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Clare Rock
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
*
Corresponding author: Morgan Jane Katz; Email: mkatz26@jhmi.edu

Abstract

Objective:

To identify system-level barriers to effective environmental cleaning and disinfection in long-term care (LTC) facilities.

Design:

Transdisciplinary, mixed-methods approach using human factors engineering and environmental sampling to assess environmental cleaning practices and associated multi-drug resistant organism (MDRO) burden in LTC patient rooms and common areas.

Setting:

Two high-acuity skilled nursing facilities in Maryland.

Methods:

Environmental sampling of high-touch surfaces (HTSs) was performed in resident rooms, communal areas, and nursing stations. Samples were analyzed for MDROs and overall bacterial burden. System-level barriers were assessed through observations of cleaning and focus groups with environmental services (EVS) staff and supervisors, guided by the Systems Engineering Initiative for Patient Safety (SEIPS) model.

Results:

Of 123 composite samples of environmental surfaces, 76% of patient room samples were culture positive for 1+ MDRO, with MRSA the most prevalent organism. Quantitative bacterial burden was higher from Composite 1 (the area in the room closest to the resident) than any other composite in the resident room (median of 27.17 CFU/mL/cm2 vs 4.55 (near door) and 1.22 (bathroom)). Observations indicated significant deviations from cleaning protocols, with only 43% of HTSs cleaned per facility policy. Focus group discussions highlighted systemic challenges, including inconsistent training, frequent interruptions, and poor communication among staff.

Conclusions:

The findings underscore the burden of MDRO contamination in LTC settings and critical barriers to effective environmental cleaning. Addressing these issues through standardized training with feedback mechanisms, enhanced communication, and leadership engagement is essential for improving infection prevention efforts and resident safety in LTC facilities.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Figure 1.Visual representation of composite sampling of resident room and bathroom.HTS, high-touch surfaces; TV, television; MISC, miscellaneous; IV, intravenous.

Figure 1

Table 1.Percent MDRO positivity and quantitative bacterial burden by composite, facility, and room type

Figure 2

Table 2.Descriptive characteristics of patient room observations (n = 31)

Figure 3

Figure 2.Observed deviations from advised facility cleaning policies (n = 31 observations).

Figure 4

Figure 3.Focus group themes and quotations based on the 5 components of the SEIPS model.

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