Abstract
Objective:
To test the feasibility of targeted gown and glove use by healthcare personnel caring for high-risk nursing-home residents to prevent Staphylococcus aureus acquisition in short-stay residents.
Design:
Uncontrolled clinical trial.
Setting:
This study was conducted in 2 community-based nursing homes in Maryland.
Participants:
The study included 322 residents on mixed short- and long-stay units.
Methods:
During a 2-month baseline period, all residents had nose and inguinal fold swabs taken to estimate S. aureus acquisition. The intervention was iteratively developed using a participatory human factors engineering approach. During a 2-month intervention period, healthcare personnel wore gowns and gloves for high-risk care activities while caring for residents with wounds or medical devices, and S. aureus acquisition was measured again. Whole-genome sequencing was used to assess whether the acquisition represented resident-to-resident transmission.
Results:
Among short-stay residents, the methicillin-resistant S. aureus acquisition rate decreased from 11.9% during the baseline period to 3.6% during the intervention period (odds ratio [OR], 0.28; 95% CI, 0.08–0.92; P = .026). The methicillin-susceptible S. aureus acquisition rate went from 9.1% during the baseline period to 4.0% during the intervention period (OR, 0.41; 95% CI, 0.12–1.42; P = .15). The S. aureus resident-to-resident transmission rate decreased from 5.9% during the baseline period to 0.8% during the intervention period.
Conclusions:
Targeted gown and glove use by healthcare personnel for high-risk care activities while caring for residents with wounds or medical devices, regardless of their S. aureus colonization status, is feasible and potentially decreases S. aureus acquisition and transmission in short-stay community-based nursing-home residents.
Nursing homes house a high prevalence of residents with either methicillin-resistant Staphylococcus aureus (MRSA) or methicillin-susceptible S. aureus (MSSA) colonization, creating a high-risk environment for resident-to-resident transmission of S. aureus.1 The mix of short-stay and long-stay residents in community-based nursing homes blends a population recovering from acute illness with a chronically ill population frequently colonized with S. aureus2 In past work, we found that short-stay residents are at 4-fold higher risk for MRSA acquisition than long-stay residents.3 Once S. aureus acquisition occurs, residents are at higher risk for infection as colonization typically precedes infection. Up to 30% of MRSA colonized patients develop an infection.4,5 Nursing-home stay was identified as a common risk factor for invasive MRSA infection after recent hospital discharge.6
Nursing-home staff are the most frequent vectors for transmission because their clothing and hands become contaminated with S. aureus during the care of S. aureus–colonized residents.7 In hospitals, the standard of care for patients with MRSA colonization is use of contact precautions (eg, gowns and gloves for all patient contact). In contrast, community-based nursing homes typically use standard precautions (eg, gowns and gloves for anticipated contact with blood, body fluids, skin breakdown, or mucous membranes) for residents with MRSA colonization and reserve contact precautions for residents on treatment for MRSA infection. Prior research demonstrating high rates of MRSA acquisition in nursing homes suggests that standard precautions do not adequately reduce the transmission of S. aureus.3,8
Contact precautions have not been widely adopted by nursing homes for several reasons.9 Nursing homes are often resource-limited settings with frequent staff and leadership turnover and they often lack the well-trained staff and infrastructure of hospitals. In addition, nursing-home staff have deeply rooted beliefs that contact precautions stigmatize residents.10 There is a clear need for a solution, tailored to the nursing-home setting, to reduce the risk of S. aureus (and other antibiotic resistant bacteria) acquisition and infection. Given the complexity of the nursing-home environment, the associated work system, and the barriers to effective implementation of novel infection prevention interventions, an approach guided by human factors engineering (HFE) principles may be helpful.11–13 The goal of HFE is to actively involve workers in designing systems that work in real-world settings while optimizing the strengths of those that use them.
The objective of this project was to test the feasibility of a novel intervention, the addition of targeted gown and glove use, to prevent S. aureus acquisition in short-stay residents of community-based nursing homes. Gown and glove use was targeted to specific high-risk care activities (Table 1) for high-risk residents defined as those with chronic wounds (ie, wounds that require dressing) and medical devices such as urinary catheters, vascular catheters, or feeding tubes.
Table 1.
Care Activities with a High Risk of S. aureus Transmission in Nursing Homes
| Type of Care |
|---|
| Dressing the resident |
| Bathing the resident |
| Transferring the resident |
| Providing hygiene |
| Changing linens |
| Changing the resident’s brief or diaper |
| Medical device care or use |
| Dressing wounds |
Methods
Study design and setting
We performed an uncontrolled clinical trial of targeted gown and glove use for high-risk residents on 2 mixed (short- and long-stay) units at 2 community-based nursing homes in Maryland between December 2017 and July 2018. All adult residents living in the nursing homes during that period who were not identified by nursing-home staff as combative were eligible. The first nursing-home unit had 60 beds; the second had 45 beds. These 2 nursing homes are part of an independently functioning healthcare system specializing in postacute care, skilled nursing, and rehabilitation. The policy at both nursing homes was to put residents with known MRSA colonization on standard precautions, not contact precautions. Nurses and support staff in both nursing homes are similarly trained in infection prevention procedures; however, each nursing home in the system functions independently in terms of daily practice, roles, and administrative structure. Each nursing home has an educator responsible for monitoring and training staff on infection prevention practices. The study was approved by the University of Maryland, Baltimore Institutional Review Board with a waiver of informed consent. No sample-size calculations were performed because the goal of this project was to demonstrate the feasibility of the intervention.
During a 2-month baseline period, we measured S. aureus acquisition using anterior nares and inguinal fold surveillance cultures obtained by research staff using a nylon-flocked swab (Copan ESwabs) from all residents. We assessed healthcare personnel (HCP) gown and glove use, and we designed the intervention using an HFE approach. During a 1-month preparatory period, we developed the intervention. During a 2-month intervention period, residents identified with (1) wound(s) which required a dressing or (2) medical devices (eg, urinary catheters, vascular catheters or feeding tubes) had targeted gown and glove use incorporated into high-risk care activities. During this period, we measured S. aureus acquisition again and assessed HCP gown and glove use. We did not collect demographic information about study participants.
Design of the intervention
We iteratively designed the intervention using a participatory ergonomics HFE approach defined as involving people in “planning and controlling a significant amount of their own work activities, with sufficient knowledge and power to influence both processes and outcomes in order to achieve desirable goals.”14 Nursing-home stakeholders, including nursing-home administrative and clinical staff, codesigned the new work system of the intervention along with the research team.
We used a multimethod participatory ergonomics approach (ie, contextual inquiry, semistructured interviews) for data collection during the baseline and intervention periods. Our analysis revealed that implementation required the following major changes in the work system: (1) a mechanism to identify and flag residents with wounds and medical devices and (2) making acceptable gowns and gloves available at the point of care in a reliable manner. We used the following procedures in the co-design and implementation of the intervention (Supplementary Table S1 online):
Initial evaluation of nursing-home work systems. We met with nursing-home infection preventionists at the beginning of the study to tour each facility. We identified key work-system characteristics (eg, physical layout, tools and technologies, roles, and morning care routines), and we obtained a detailed understanding of the site-specific gown, glove, and signage protocols.
Participatory design and feedback sessions. We conducted several informal participatory design and feedback sessions with HCP at each facility during the baseline period. The following goals were set for these sessions: (1) introducing the project and its rationale to the HCP to get buy-in; (2) asking for input on any barriers to and strategies for successful implementation; and (3) codesigning the intervention components (ie, selection of gown type, door signs, suggestions on where to store supplies, physical location of caddies) with them. HCP tried on sample gowns and tested other components of the intervention in a simulated environment. Design decisions were finalized by asking HCP to rank their preferences and to provide reasons for their selection, followed by a facilitated discussion and consensus reaching. Detailed notes were taken at each session and were analyzed to inform site-specific intervention protocols.
Contextual inquiry session. We observed HCP while they performed routine work in their work environment, and afterward we probed to clarify what was observed or to obtain further details.15 At the beginning of each shift, rooms with high-risk residents were identified by the charge nurse or infection prevention educator, and HCP who cared for residents in those rooms were observed during their morning rounds. An observation form was used to capture quantitative (eg, number of gloves and gowns used, and number of times hand hygiene was performed) and qualitative data (eg, activity description, barriers and strategies for successful implementation of the intervention) from observations during the baseline and intervention periods (Supplementary Table S2 online). Detailed notes were taken by each observer, combined into 1 document, and uploaded to a secure server for analysis.
Qualitative longitudinal face-to-face interviews with care professionals.16 Digitally recorded, semistructured interviews 20–30 minutes in length (for interview guide, see Supplementary Table S3 online) were conducted with 3 HCP at each site during the baseline, intervention, and postintervention periods to explore perspectives over the course of the project. All interviews were transcribed by a professional transcription service and were analyzed using qualitative content analysis using a consensus approach.
Training. The training of HCP in both nursing homes on the various components of the intervention (ie, the identification of high-risk residents and usage of gowns, gloves, caddies and signage) was coordinated by the facility’s educator and the research team infection preventionist in a series of on-site presentations. Teamwork behaviors of communication and mutual support were highlighted. An instructional flier was distributed and posted in high visibility staff areas for reference.
Outcome
Our prespecified primary outcome was a change in S. aureus acquisition rates in short-stay residents comparing baseline to intervention periods. Residents were swabbed in the anterior nares and inguinal fold at the start of the study period or when they were admitted. All residents were reswabbed at discharge or when the study period ended. Acquisition was defined as a new positive culture for MRSA or MSSA in a short-stay resident who was negative for that S. aureus at the start of the study period or on admission. Cultures were performed in a central research microbiology lab using standard laboratory procedures.3,7,17
Whole-genome sequencing (WGS) of S. aureus isolates from short- and long-stay residents was performed to determine whether the S. aureus acquisition represented resident-to-resident S. aureus transmission. S. aureus isolates were grown in broth over-night, and DNA was isolated using Qiagen columns (Qiagen, Valencia, CA). Libraries for Illumina sequencing were prepared using the KAPA High-Throughput Library Preparation Kit (Millipore-Sigma, St Louis, MO), enriched and barcoded by PCR amplification using primers containing an index sequence. The libraries were sequenced using a paired-end run on an Illumina HiSeq2500 (Illumina, San Diego, CA). The reads were separated based on the barcodes indicative of the library. The quality of the sequences was assured by trimming with the software trimmomatic,18 running fastqc,19 and removing anything that mapped to the human or phix genomes. The reads were assembled using metacompass (https://www.cbcb.umd.edu/software/metacompass) with S. aureus NCTC 8325 (NC_007795.1) as the reference sequence. Contigs <1,000 bp and any that did not match the reference were removed. The annotated sequences were submitted to GenBank (accession no. SAMN13331741-SAMN13332053). The BioProjectID is PRJNA590514. Genetic and resident source information for each S. aureus isolate is found in Supplementary Table S4 (online).
The assembled genomes were compared to S. aureus NCTC 8325 (NC_007795.1) to identify single-nucleotide variants (SNVs). From the Harvest suite (v1.2), Parsnp was used to perform core-genome alignment of all input genomes to the reference and Gingr was used to visualize and export the SNV alignment file.20 Parsnp was run with the -c option to retain all samples for analysis. When maximizing the number of samples in the analysis, the total coverage of the reference genome among all sequences was 77.8% and the core alignment represented 53% of the reference genome, suggesting sufficient overlap for core genome analyses. Related isolates were defined as those differing by <30 nucleotides based on Supplementary Fig. S2 (online). Most related isolates were isolated from swabs from the same individual; related isolates from different individuals were considered to result from transmission events. The acquiring individual was determined by the date of swab collection.21
Results
Intervention implementation
Baseline assessment at both sites revealed many similarities between the work system design and care practices at the sites. HCP at both facilities selected the same gown and over-the-door gown-and-glove caddies but different signage for use during the intervention. Table 2 summarizes the signage at each nursing home before and during the intervention. Participatory design and feedback sessions showed that the main determinant for choosing a particular intervention component design was the HCP’s familiarity with a particular design based on experience. Additional factors such as perceived protection, comfort, and ease of use of the gown; size, layout and ease of disinfection of the caddy; and the color of the signage also played a role in selection of specific intervention components by HCP.
Table 2.
Intervention Signage Development
| Study Period | Nursing Home 1 | Nursing Home 2 |
|---|---|---|
| Pre-intervention | STOP sign in various colors depicting type of infection (eg, pink skin, brown urine, etc) | Orange sign with STOP graphic and “Please see nurse before entering” |
| Signage placed outside resident’s door (beside bed number) | Signage placed outside resident’s door and behind resident’s bed | |
|
|
|
| Intervention | Selected pink STOP sign with gown and glove graphic beside each high-risk activity | Selected orange sign with STOP graphic, and list of high-risk activities |
| Signage placed outside resident’s door (beside bed number) | Signage placed outside resident’s door (bed number written in top right corner of signage) and behind resident’s bed | |
|
|
Intervention adherence and effectiveness
Implementation of the intervention was successful as judged by (1) our ability to recruit 2 nursing homes to participate in the project, (2) an increase in gown use during high-risk care activities from 0% before the intervention to 78% after the intervention for high-risk residents, and (3) 97% of high-risk residents were correctly identified for targeted gown and glove use. Intervention compliance and effectiveness were similar in both nursing homes.
The S. aureus acquisition rate among short-stay residents decreased from 17 of 101 residents (16.8%) during the baseline period to 8 of 120 residents (6.7%) during the intervention period (OR, 0.35; 95% CI, 0.15–0.86; P = .02). The MRSA acquisition rate in short-stay residents decreased from 10 of 84 residents (11.9%) during the baseline period to 4 of 111 residents (3.6%) during the intervention period (OR, 0.28; 95% CI, 0.08–0.92; P = .026). The MSSA acquisition rate in short-stay residents decreased from 9.1% (8 of 88) during the baseline period to 4.0% (4 of 101) during the intervention period (OR, 0.41;, 95% CI, 0.12–1.42; P = .15) (Fig. 1). One resident acquired both MRSA and MSSA during the baseline period. Overall, 57 short-stay residents did not have cultures performed. Cultures were not done (1) because the resident declined (n = 19), (2) because the resident was identified by HCP as agitated (n = 3), or (3) because the resident was discharged or moved to a non–study unit prior to being approached about the study (n = 35). The latter typically had a short length of stay on the study unit.
Fig. 1.

Percentage of enrolled short-stay admissions that acquired methicillin-resistant Staphylococcus aureus (MRSA) or methicillin-susceptible S. aureus (MSSA) in the nose or inguinal fold by study period: S. aureus, 16.8% (17 of 101) vs 6.7% (8 of 120) (P = .02); MRSA, 11.9% (10 of 84) vs 3.6% (4 of 111) (P = .026); and MSSA, 9.1% (8 of 88) vs 4.0% (4 of 101) (P = .15).
DNA sequences were obtained and compared from 319 isolates. The isolates were collected before and after the intervention from all 3 floors. A tree of genetic relatedness based on SNVs from the core genome showed that some isolates were closely related and others were not (Supplementary Fig. S1 online).
We evaluated whether the S. aureus isolate from each acquisition in short-stay residents could be matched within 30 SNVs to another epidemiologically linked (same floor, same study period) S. aureus isolate (Supplementary Fig. S2 online). Based on this analysis, we observed a decrease in S. aureus transmission rate from 5.9% (6 of 101) during the baseline period to 0.8% (1 of 120) during the intervention period (OR, 0.13; 95% CI, 0.02–1.12; P = .06), an 86% reduction in S. aureus transmission. Of the 7 resident-to-resident transmissions identified, 2 were from a roommate.
Barriers and facilitators and strategies to intervention development
The HCP in nursing homes often encounter barriers (eg, such as time pressure to complete a high-risk activity), and they develop “workarounds” to complete their duties (eg, by employing the assistance of another HCP). The following work system factors were identified using our multimethod participatory ergonomics approach: characteristics of the HCP, specific tasks of the HCP and other caretakers, teamwork among HCP, tools and supplies, physical environment, and organizational factors. Table 3 summarizes the barriers and facilitators to the individual high-risk care activities that informed training design and may have contributed to the overall adherence and effectiveness of the intervention.
Table 3.
Barriers to and Facilitators for High-Risk Care Activities in Long-Term Care Settings
| High-Risk Care Activity | Barriers | Facilitators/Strategies |
|---|---|---|
| Dressing the resident | • Time pressure to complete task, other HCP in the room waiting to treat resident | • Rapport between HCP and resident (eg, resident communicates wants to HCP) |
| • Limited mobility of resident, asks for help getting dressed; HCP does not wear gloves | • HCP places towel over wheelchair to make it more comfortable for resident. | |
| • Device (eg, catheter), in the way | • HCP and resident work together to dress resident. | |
| • Interruptions (eg, resident requests different set of clothes) | ||
| Changing the residents brief or assistance with toileting | • Immobile resident. | • Bedpan used to assist with toileting |
| • Physical limitation of HCP in turning resident. | • Rapport between HCP and resident | |
| • HCP leaves room to get assistance, does not change gloves. | • HCP assists resident to pull brief up. | |
| • HCP transfers soiled diaper onto another surface in the room. | ||
| • Device (eg, oxygen breathing tube) in the way | ||
| Transferring the resident | • No gloves worn during most transfers | • Mutual support: assistance from another HCP. |
| • Physical limitation of the HCP; unable to lift resident alone | • Rapport between HCP and resident. | |
| • Limited mobility of resident (eg, knee injury); difficult to transfer resident | • HCP assists (lifts and supports) resident up. | |
| • Noncooperative resident; resident asks for time to calm down before being assisted | ||
| Bathing the resident | • Complex disease state of resident; complex care required (i.e., HCP changes gloves and towels several times) | • Resident assists HCP in bathing process. |
| • Interruptions (eg, other HCP in room, resident toileting, etc) | • Rapport between HCP and resident | |
| • Room cluttered, making mobility of HCP to and from glove box challenging | • HCP performs other care activities when interrupted, (eg, linen change). | |
| Wound dressing/care | • Improper glove usage. HCP does not change both gloves, or uses bare hands to dress wound. | • HCP moves trash closer to resident bedside or uses other resident’s trash. |
| • Trash far from bed area | • Other HCP assists in moving resident into place for wound care. | |
| • Restroom occupied, so HCP cannot wash hands after care. | • Double gloving | |
| Changing linens | • Cluttered room, linen placed on the floor | • Resident not in bed (eg, in wheelchair or restroom) |
| • Performed by less experienced/trained staff; no gloves worn | ||
| • Time pressure while changing linen (eg, while resident is in the restroom) | ||
| • HCP leaves room to pick extra linen, does not change gloves. | ||
| Device care | • Complex disease state of residents; improper care by HCP leading to adverse effect, (eg, bleeding) | • HCP picks supplies from floor and places in trash during glove disposal. |
| • Resident is sitting in wheelchair. | ||
| • Trash overflowing |
Note. HCP, healthcare personnel.
Discussion
During this project, we demonstrated the feasibility of incorporating targeted gown and glove use into resident care activities in 2 community-based nursing homes with excellent adherence to gown use. Furthermore, the rates of S. aureus acquisition decreased, particularly for MRSA. Whole-genome sequencing of the S. aureus isolates suggested that the decrease was, at least in part, due to a decrease in resident-to-resident transmission of S. aureus.
Our novel intervention was based on extensive prior research on the risk of S. aureus transmission from residents to HCP gown and gloves during care interactions, the first step in transmission. We have studied MRSA transmission to gowns and gloves worn by direct-care staff interacting with >600 residents in community-based nursing homes and Veterans’ Affairs nursing homes.7,17 We identified specific care activities with a high risk for MRSA transmission (Table 1). In addition, HCP caring for residents with chronic wounds had significantly higher rates of gown and glove contamination. When MSSA and resistant gram-negative bacteria22 transmission were examined, the results were comparable. Importantly, the results from the 2 different study populations were very similar, which demonstrates the reproducibility of these results.
Our results suggest that a novel, evidence-based approach to preventing S. aureus transmission and S. aureus acquisition, targeted gown and glove use, could be used to prevent the spread of S. aureus and, likely, other pathogens in nursing homes. Rather than wearing gown and gloves for all care activities for residents with known colonization with a multidrug-resistant organism (MDRO), gown and glove use are targeted toward (1) specific high-risk types of care while caring for (2) high-risk residents. The high-risk types of care activities targeted for gown and glove use are those most likely to transmit S. aureus to HCP clothing and hands. The high-risk residents targeted are (1) most likely to be colonized with S. aureus, (2) most likely to acquire S. aureus,8 (3) most likely to transmit S. aureus to HCP clothing and hands, and (4) most likely to develop an S. aureus infection. This allows us to get away from culture positivity as the driver of infection control practices.
We believe that using a participatory ergonomics approach (ie, codesigning the intervention with HCP and tailoring intervention component details based on the context and needs of each setting) contributed to high adherence with glove and gown use. An increasing number of studies have applied participatory ergonomics in healthcare23–29 and have proven the importance of this approach for intervention design, implementation, and acceptance. Although most of these studies were focused on clinicians (eg, physicians and nurses) and patients and families, few participatory ergonomics studies have looked at infection prevention interventions in nursing homes.30 This study is among the first to use a multimethod HFE approach to care delivered in a nursing-home setting with the involvement of staff members in the design and implementation of an infection prevention intervention.31
There are important limitations and strengths to our study. This study was intended to demonstrate feasibility and not efficacy. Although it was a clinical trial, there was no contemporaneous control group. This study was a simple before-and-after intervention in 2 typical-sized nursing homes in Maryland. Thus, it is limited in sample size and geographic diversity. The strengths of the study are in its novel intervention. Our targeted intervention limited both cost and stigma while blocking the transmission and acquisition of multiple organisms. In a cost analysis, we showed that a targeted intervention is significantly less expensive and thus more sustainable for community-based nursing homes.9 We also conducted focus groups and semistructured interviews that demonstrated that the use of gowns and gloves could be well accepted in nursing homes.32 Staff understand that they provide self-protection, and residents accept the use of gowns and gloves when educated about their purpose.10
This intervention is an example of “precision public health.” We are targeting the right prevention in the right amount to the right resident at the right time. Furthermore, this general strategy, if successful, could also be applied to other healthcare settings, changing how we use barriers, such as gowns and gloves, as part of transmission-based precautions to prevent the spread of antibiotic-resistant bacteria.
Supplementary Material
Acknowledgments.
We thank the residents, staff, and leadership of the participating nursing homes, as well as Georgia Papaminas, and the members of the laboratory for their contributions to the project. The views expressed in this manuscript are those of the authors and not necessarily those of the University of Maryland or Johns Hopkins University. The views expressed are those of the authors and do not necessarily reflect the official policy or position of the US Centers for Disease Control and Prevention or the US Department of Health and Human Services.
Financial Support.
This work was supported by funding from the CDC Office of Acquisition Services (contract award no. 200-2017-95512). Dr Mody is funded by P30 AG024824, K24 AG050685, and RO1 HS025451.
Footnotes
ClinicalTrials.gov study number: NCT03319368.
Supplementary Material. To view supplementary material for this article, please visit https://doi.org/10.1017/ice.2020.1219
Conflicts of Interest. Joan Hebden is a consultant for PDI and is on the speaker’s bureau for Cepheid. All other authors report no conflict of interest related to the contents of this manuscript.
References
- 1.Bradley SF. Methicillin-resistant Staphylococcus aureus in nursing homes. Epidemiology, prevention and management. Drugs Aging 1997;10:185–198. [DOI] [PubMed] [Google Scholar]
- 2.Weissert WG. Seven reasons why it is so difficult to make community-based long-term care cost-effective. Health Serv Res 1985;20:423–433. [PMC free article] [PubMed] [Google Scholar]
- 3.Furuno JP, Shurland SM, Zhan M, et al. Comparison of the methicillin-resistant Staphylococcus aureus acquisition among rehabilitation and nursing home residents. Infect Control Hosp Epidemiol 2011;32:244–249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Huang SS, Platt R. Risk of methicillin-resistant Staphylococcus aureus infection after previous infection or colonization. Clin Infect Dis 2003;36:281–285. [DOI] [PubMed] [Google Scholar]
- 5.Datta R, Huang SS. Risk of infection and death due to methicillin-resistant Staphylococcus aureus in long-term carriers. Clin Infect Dis 2008;47:176–181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Epstein L, Mu Y, Belflower R, et al. Risk factors for invasive methicillin-resistant Staphylococcus aureus infection after recent discharge from an acute-care hospitalization, 2011–2013. Clin Infect Dis 2016;62:45–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Roghmann M-C, Johnson JK, Sorkin JD, et al. Transmission of methicillin-resistant Staphylococcus aureus (MRSA) to healthcare worker gowns and gloves during care of nursing home residents. Infect Control Hosp Epidemiol 2015;36:1050–1057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mody L, Krein SL, Saint S, et al. A targeted infection prevention intervention in nursing home residents with indwelling devices: a randomized clinical trial. JAMA Intern Med 2015;175:714–723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dumyati G, Stone ND, Nace DA, Crnich CJ, Jump RLP. Challenges and strategies for prevention of multidrug-resistant organism transmission in nursing homes. Curr Infect Dis Rep 2017;19:18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Furuno JP, Krein S, Lansing B, Mody L. Health care worker opinions on use of isolation precautions in long-term care facilities. Am J Infect Control 2012;40:263–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gurses AP, Rosen MA, Pronovost PJ. Improving guideline compliance and healthcare safety using human factors engineering: the case of Ebola. J Patient Safety Risk Managem 2018;23:93–95. [Google Scholar]
- 12.Gurses AP, Seidl KL, Vaidya V, et al. Systems ambiguity and guideline compliance: a qualitative study of how intensive care units follow evidence-based guidelines to reduce healthcare-associated infections. Qual Saf Health Care 2008;17:351–359. [DOI] [PubMed] [Google Scholar]
- 13.McGlynn EA, Asch SM, Adams J, et al. The quality of health care delivered to adults in the United States. N Engl J Med 2003;348:2635–2645. [DOI] [PubMed] [Google Scholar]
- 14.Gyi D, Shalloe S, Wilson JR. Participatory ergonomics. In: Wilson JR, Sharples S, eds. Evaluation of Human Work, vol 4. Boca Raton, FL: CRC Press; 2015: 883–906. [Google Scholar]
- 15.Xie A, Rock C, Hsu Y-J, et al. Improving daily patient room cleaning: an observational study using a human factors and systems engineering approach. IISE Trans Occup Ergon Hum Factors 2018;6:178–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Qualitative longitudinal interview data: men’s transition to fatherhood. SAGE research methods datasets website, http://methods.sagepub.com/base/download/DatasetStudentGuide/qualitative-longitudinal-interviews-men-transition-to-fatherhood. Published 2015. Accessed October 11, 2019.
- 17.Pineles L, Morgan DJ, Lydecker A, et al. Transmission of methicillin-resistant Staphylococcus aureus to health care worker gowns and gloves during care of residents in Veterans’ Affairs nursing homes. Am J Infect Control 2017;45:947–953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014;30:2114–2120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Brown J, Pirrung M, McCue LA. FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool. Bioinformatics 2017;33:3137–3139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Treangen TJ, Ondov BD, Koren S, Phillippy AM. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol 2014;15:524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Stine OC, Burrowes S, David S, Johnson JK, Roghmann MC. Transmission clusters of methicillin-resistant Staphylococcus aureus in long-term care facilities based on whole-genome sequencing. Infect Control Hosp Epidemiol 2016;37:685–691. [DOI] [PubMed] [Google Scholar]
- 22.Blanco N, Johnson JK, Sorkin JD, et al. Transmission of resistant gram-negative bacteria to healthcare personnel gowns and gloves during care of residents in community-based nursing facilities. Infect Control Hosp Epidemiol 2018;39:1425–1430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bohr PC, Evanoff BA, Wolf LD. Implementing participatory ergonomics teams among health care workers. Am J Ind Med 1997;32:190–196. [DOI] [PubMed] [Google Scholar]
- 24.Evanoff BA, Bohr PC, Wolf LD. Effects of a participatory ergonomics team among hospital orderlies. Am J Ind Med 1999;35:358–365. [DOI] [PubMed] [Google Scholar]
- 25.Fragala G, Santamaria D. Heavy duties? On-the-job back injuries are a bigger—and costlier—pain than you think. Health Facil Manage 1997;10:22–27. [PubMed] [Google Scholar]
- 26.Xie A, Carayon P, Cox ED, et al. Application of participatory ergonomics to the redesign of the family-centred rounds process. Ergonomics 2015;58:1726–1744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Rock C, Cosgrove SE, Keller SC, et al. Using a human factors engineering approach to improve patient room cleaning and disinfection. Infect Control Hosp Epidemiol 2016;37:1502–1506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Gurses AP, Dietz AS, Nowakowski E, et al. Human factors-based risk analysis to improve the safety of doffing enhanced personal protective equipment. Infect Control Hosp Epidemiol 2019;40:178–186. [DOI] [PubMed] [Google Scholar]
- 29.Jun GT, Canham A, Altuna-Palacios A, et al. A participatory systems approach to design for safer integrated medicine management. Ergonomics 2018;61:48–68. [DOI] [PubMed] [Google Scholar]
- 30.Katz MJ, Osei PM, Vignesh A, Montalvo A, Oresanwo I, Gurses AP. Respiratory practices in the long-term care setting: a human factors-based risk analysis. J Am Med Dir Assoc 2019. [DOI] [PubMed] [Google Scholar]
- 31.Udo H, Kobayashi M, Udo A, Branlund B. Participatory ergonomic improvement in nursing home. Ind Health 2006;44:128–134. [DOI] [PubMed] [Google Scholar]
- 32.Albrecht JS, Croft L, Morgan DJ, Roghmann MC. Perceptions of gown and glove use to prevent methicillin-resistant Staphylococcus aureus transmission in nursing homes. J Am Med Dir Assoc 2017;18:158–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
