Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-24T03:44:47.622Z Has data issue: false hasContentIssue false

Research agenda for transmission prevention within the Veterans Health Administration, 2024–2028

Published online by Cambridge University Press:  11 April 2024

Matthew Smith
Affiliation:
Center for Access & Delivery Research and Evaluation, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA
Chris Crnich
Affiliation:
William. S. Middleton Memorial VA Hospital, Madison, WI, USA
Curtis Donskey
Affiliation:
Geriatric Research, Education and Clinical Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA
Charlesnika T. Evans
Affiliation:
Center of Innovation for Complex Chronic Healthcare, Hines VA Hospital, Hines, IL, USA Department of Preventive Medicine and Center for Health Services and Outcomes Research, Northwestern University of Feinberg School of Medicine, Chicago, IL, USA
Martin Evans
Affiliation:
MRSA/MDRO Division, VHA National Infectious Diseases Service, Patient Care Services, VA Central Office and the Lexington VA Health Care System, Lexington, KY, USA
Michihiko Goto
Affiliation:
Center for Access & Delivery Research and Evaluation, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA
Bernardino Guerrero
Affiliation:
Environmental Programs Service (EPS), Veterans Affairs Central Office, Washington, DC, USA
Kalpana Gupta
Affiliation:
VA Boston Healthcare System and Boston University School of Medicine, Boston, MA, USA
Anthony Harris
Affiliation:
Department of Epidemiology, University of Maryland School of Medicine, Baltimore, MD, USA
Natalie Hicks
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
Karim Khader
Affiliation:
DEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Division of Epidemiology, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Stephen Kralovic
Affiliation:
Veterans Health Administration National Infectious Diseases Service, Washington, DC, USA Cincinnati VA Medical Center and University of Cincinnati, Cincinnati, OH, USA
Linda McKinley
Affiliation:
William. S. Middleton Memorial VA Hospital, Madison, WI, USA
Michael Rubin
Affiliation:
DEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Division of Epidemiology, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Nasia Safdar
Affiliation:
William. S. Middleton Memorial VA Hospital, Madison, WI, USA
Marin L. Schweizer
Affiliation:
William. S. Middleton Memorial VA Hospital, Madison, WI, USA Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, and William S. Middleton Hospital, Madison, WI, USA
Suzanne Tovar
Affiliation:
National Infectious Diseases Service (NIDS), Veterans Affairs Central Office, Washington, DC, USA
Geneva Wilson
Affiliation:
Center of Innovation for Complex Chronic Healthcare (CINCCH), Hines Jr. Veterans Affairs Hospital, Hines, IL, USA Department of Preventive Medicine, Center for Health Services and Outcomes Research, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
Trina Zabarsky
Affiliation:
Environmental Programs Service (EPS), Veterans Affairs Central Office, Washington, DC, USA
Eli N. Perencevich*
Affiliation:
Center for Access & Delivery Research and Evaluation, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA
*
Corresponding author: Eli N. Perencevich; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Type
Commentary
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 (http://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), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

Patient-to-patient transmission and widespread use (and misuse) of antimicrobials has led to an increased incidence of antimicrobial-resistant bacteria, including multidrug-resistant organisms (MDROs). At present, MDROs worsen morbidity and mortality for patients, Reference Barrasa-Villar, Aibar-Remón, Prieto-Andrés, Mareca-Doñate and Moliner-Lahoz1 though there is concern that MDROs could represent a threat to the very core of our healthcare system, as pathogens resistant to all antibiotics continue to spread across the globe. In 2019 the CDC updated their antibiotic resistance threats report, which includes sobering data about the breadth of the problem in the United States, with 2.8 million yearly infections from antibiotic-resistant infections, and 35,000 yearly deaths from antibiotic-resistant infections. 2

National initiatives to slow the spread of MDROs have increased in their scope in the past decade. The White House released a National Action Plan for Combatting Antibiotic-resistant Bacteria (CARB) for 2020–2025, representing a broad collaboration across multiple government agencies. Broadly speaking, the goals of CARB are to slow the emergence and prevent the spread of MDROs through improved diagnostics, antimicrobial research/development, antimicrobial stewardship, and fostering international collaboration. 3

The Veterans Health Administration (VHA) is the largest integrated health system in the US, with over 1,300 care facilities serving over 9 million patients. Notably, the VHA has a long history of combatting MDROs through efforts to reduce patient-to-patient transmission. In 2007, the VHA implemented a methicillin-resistant Staphylococcus aureus (MRSA) prevention bundle which was associated with sustained declines in infection rates for not just MRSA, but other MDROs such as Clostridioides difficile and carbapenem-resistant Enterobacteriaceae (CRE). Reference Jain, Kralovic and Evans4,Reference Goto, O’Shea and Livorsi5

Given its national footprint, its prior history of combatting MDROs, and its involvement as a CARB collaborator, the VHA is a national leader in MDRO research efforts. In 2017, a collaboration among VHA researchers outlined an agenda for MDRO research within the VHA. That research agenda was set by 37 national experts and outlined the five-year research needs for combating MDROs, including transmission dynamics, antimicrobial stewardship, the microbiome, and special populations. Reference Perencevich, Harris and Pfeiffer6Reference Kates, Tischendorf and Schweizer10

This document is a follow-up of the 2017 research agenda collaborative and is designed as a companion piece for an accompanying 2024 antimicrobial stewardship research agenda. Reference Livorsi, Drekonja and Eschevarria11 The primary goal of this collaboration is to assess research progress in the domain of MDRO transmission prevention since 2017 and utilize this information to identify current MDRO research needs for the VHA system over the next 5 years. When possible, there is a focus on research conducted within the VHA. Our hope is that this document will serve as a roadmap for VHA transmission prevention research during the next five years.

This transmission prevention research agenda is a collaboration between 20 VHA research leaders across the country. Committee members were divided into subgroups tailored to their areas of expertise, with subgroups formed around the core topics of active surveillance/isolation, hand hygiene, environmental cleaning/disinfection, special populations, and biosurveillance. Subgroups all met multiple times and performed independent literature reviews of their topic areas during a six month period, then identified high-need research areas in their respective domains. Once finalized, all topics were reviewed by all member-authors.

Active surveillance

Programs which screen patients to determine whether they are colonized with a specific organism, known as active surveillance (AS), are designed to monitor and control the spread of MDROs. When an organism of interest is detected via AS, it should prompt a response with patient isolation, decolonization, or another intervention with the goal of decreasing the risk of infection in the colonized patient and/or transmission of the organism to other patients. Active surveillance is a common vertical strategy to reduce transmission; Reference Jain, Kralovic and Evans4 for example, the recent joint practice recommendations from the Society for Healthcare Epidemiology of America (SHEA), Infectious Disease Society of America (IDSA), and Association for Professionals in Infection Control and Epidemiology (APIC) lists AS as an “additional recommendation” for prevention of MRSA infections, meaning that AS should be considered in select locations and populations. Reference Popovich, Aureden and Ham12 However, evidence about the efficacy of AS and its associated interventions is conflicting, with some clinical trials showing no difference in acquisition of vancomycin-resistant enterococci (VRE) or MRSA when AS plus expanded use of barrier precautions was compared to no intervention. Reference Huskins, Huckabee and O’Grady13

In the prior research agenda, several research gaps were identified that still have not been sufficiently addressed (Table 1). For example, it is still unclear when AS is most cost-effective. Studies have occurred in various settings (such as intensive care units, acute care units), with various MDROs of interest (MRSA, VRE, etc), and with various bundles (AS + contact precautions [CP], AS + decolonization, AS + CP + decolonization), so there is great complexity in understanding when AS is most effective. Reference Kitano, Takagi and Arai14Reference Mac, Fitzpatrick, Johnstone and Sander17 Future research should strive to improve the quality of this data, ideally with cluster-randomized trials, though realistically with less expensive cohort and quasi-experimental studies. Reference Perencevich and Lautenbach18 Modeling could serve as a useful adjunct, Reference Halloran, Auranen and Baird19 and recent literature has tended to focus on risk score models as a prediction tool for determining cost-effectiveness of AS, though the utility of these modeling methods has varied greatly. Reference Jeon, Chavda, Rennert-May and Leal20 An important example of how AS varies by setting can be seen in the peri-operative domain. The use of AS coupled with decolonization in the cardiac and orthopedic surgery settings is well established as a tool to reduce MRSA surgical site infections, Reference Schweizer, Perencevich and McDanel21,Reference Saraswat, Magruder and Crawford22 however apart from intra-abdominal surgeries, Reference Huttner, Robicsek and Gervaz23 the efficacy of AS plus decolonization protocols is lacking in other procedures. Additionally, given the potential benefit of AS plus decolonization protocols in non-operative settings, Reference Huang, Singh and McKinnell24,Reference Miller, McKinnell and Singh25 this is an area in need of further study.

Table 1. Veterans Healthcare Administration research agenda for transmission prevention research: active surveillance

Isolation measures

The principal tools of isolation are the use of contact precautions (CP) and patient cohort isolation. Contact precautions involve the use of personal protective equipment (PPE) such as gowns and gloves when healthcare workers enter a patient room, while cohort isolation involves moving patients colonized or infected with an MDRO to be separated from non-colonized and non-infected patients. These interventions can be implemented universally Reference Harris, Pineles and Belton26 or in a targeted approach (eg, guided by AS, or in a syndrome-based manner such as for patients with uncontained wounds). Reference Huang, Septimus and Kleinman27 From a research standpoint, a principle challenge is linking policy (eg, CP) to outcomes (eg, reduction in infection rates) given their distant temporal relationship.

MRSA is the best-studied organism in the domain of CP, and national guidelines favor the implementation of CP for MRSA. The aforementioned joint guidelines from SHEA/IDSA/APIC updated in 2022 recommend universal contact precautions for MRSA as an “essential practice” that should be adopted by all hospitals. Reference Popovich, Aureden and Ham12 It is worth mentioning that there remains active discussion about the necessity of universal CP for MRSA. Reference Morgan, Wenzel and Bearman28,Reference Diekema, Nori, Stevens, Smith, Coffey and Morgan29 This controversy primarily arises from inadequate data as well as the difficulty in separating the effect of CP alone from other interventions often bundled with CP (eg, hand hygiene). Reference Fitzpatrick and Perencevich30 Due to the relatively rare detected transmission of MDRO organisms, large sample sizes are needed over long periods to optimally measure effectiveness, Reference Khader, Thomas and Stevens31,Reference Blanco, Harris and Magder32 and modeling is often used as an adjunct to study transmission. Reference Khader, Thomas and Stevens31 It is unlikely that large-scale clinical trials will ever obtain the requisite funding to fully study this issue, so most of the literature in this domain is limited to non-randomized, quasi-experimental studies. Recent data from the VHA, one of the larger data sources available to answer this question, continues to indicate that MRSA isolation practices are associated with lower rates of MRSA infection. Reference Evans, Simbartl and McCauley33

Due to the obstacles associated with studying CP, important questions remain unanswered (Table 2). A topic of great importance is establishing when to utilize targeted CP vs universal CP, as the ability to perform targeted interventions could result in significant cost-savings for healthcare organizations. Some recent work has been done to explore transmission of MDROs, Reference O’Hara, Calfee and Miller34,Reference Thakur, Alhmidi and Cadnum35 and future studies could examine what level of CP is needed for certain types of patient interaction (eg, low-risk vs high-risk). Another aspect of the CP discussion relates to non-infectious adverse events. Data continues to emerge about the psychological aspects of patient isolation, Reference Sharma, Pillai and Lu36 though trial data suggests that CP has minimal impact on non-infectious adverse events. Reference Harris, Morgan, Pineles, Magder, O’Hara and Johnson37 Another non-infectious adverse event of increasing relevance is the environmental impact of contact precautions Reference Diekema, Nori, Stevens, Smith, Coffey and Morgan29,Reference Smith, Singh and Sherman38 – this is an under-explored topic and research is needed to quantify the environmental impact of different CP scenarios (eg, universal vs targeted CP), and future modeling work should ideally incorporate environmental sustainability metrics (eg, carbon footprint, plastic waste burden) into cost-effectiveness models.

Table 2. Veterans Healthcare Administration research agenda for transmission prevention research: isolation measures

Hand hygiene

Hand hygiene remains the cornerstone of transmission prevention in healthcare settings and is the foundational horizontal intervention included in almost all prevention bundles. Reference Bhatt and Collier39 The COVID-19 pandemic raised the profile of infection prevention and control, including hand hygiene, and was associated with higher healthcare worker hand hygiene compliance. Reference Wang, Yang and Qiao40 However, in the majority of published studies hand hygiene rates remain low. For example, in the recent multinational trial involving intensive care unit central venous catheter bloodstream infections that included a bundled hand hygiene intervention, compliance only increased to 59%. Reference van der Kooi, Sax and Grundmann41 Thus, significant research focus on hand hygiene includes efforts to determine if 100% hand hygiene compliance is achievable with current policies and technologies. Table 3 lists several research questions for consideration.

Table 3. Veterans healthcare administration research agenda for transmission prevention research: hand hygiene

Although transmission-based precautions include other interventions such as contact precautions, discussed above, hand hygiene interacts with glove use in several ways. For example, current guidance requires practicing hand hygiene prior to donning non-sterile gloves and recommends against practicing hand hygiene with alcohol hand rub while wearing gloves. 42 However, recent studies suggest that hand hygiene prior to donning non-sterile examination gloves might be an unnecessary barrier in most settings and that allowing hand hygiene while wearing gloves greatly improves compliance compared to standard practice. Reference Thom, Rock and Robinson43,Reference Thom, Rock and Robinson44 However, there are concerns with both practices that warrant further investigation in specific settings (ie, emergency rooms) and validating the safety for healthcare workers. Some MDROs such as CRE spread via plasmid transmission, with studies suggesting nearly half of CRE spreading via this mechanism. Reference Marimuthu, Venkatachalam and Koh45 It is unclear if current hand hygiene methods or preparations are effective in reducing plasmid transmission in healthcare settings.

Direct observations remain the gold standard method for observing hand hygiene compliance in the healthcare setting. Historical and recent studies demonstrate that there is a clear Hawthorne effect, with an increase in hand hygiene compliance observed utilizing direct observations, which skews compliance rates. Reference Purssell, Drey, Chudleigh, Creedon and Gould46Reference Jeanes, Coen, Gould and Drey48 Due to this, recent guidance has suggested that utilizing two methods of observation may be appropriate and more effective. However, specific methods were not recommended, Reference Glowicz, Landon and Sickbert-Bennett49 thus creating another research question and opportunity for research.

The utilization of automated hand hygiene surveillance systems continues to increase nationwide, but the effectiveness of these methods remains in question after multiple studies. Although increased compliance has been found when using automated methods, one of the glaring issues with automated systems is the lack of standardization of technology and the inability to accurately assess and compare technologies. Reference Wang, Jiang and Yang50,Reference Knudsen, Kolle, Hansen and Møller51 This is in part due to lack of a gold standard to measure the quality and effectiveness, which makes it difficult to determine if the large cost and identified risks of using automated systems would be cost-effective for individual facilities or healthcare systems, such as the VHA. A large gap also needs to be bridged between accuracy of the data and intelligence of the system, with issues identified regarding an automated system’s lack of intelligence during clinical emergencies when high hand hygiene compliance may not be achievable. Reference Boyce, Laughman, Ader, Wagner, Parker and Arbogast52

Hand hygiene bundles remain effective tools for increasing hand hygiene compliance in the hospital setting. These bundles are multifaceted interventions that include increased access to hand hygiene products, education, audit and feedback, and administrative support. Reference Glowicz, Landon and Sickbert-Bennett49 Although these bundled interventions have been proven to be very effective in the short term, there is mixed evidence on what is needed to make them more sustainable. Some studies have found that champions and consistent re-enforcement have proven highly effective in sustaining hand hygiene compliance for several years. However, other studies have found that auditing and consistent meetings with healthcare workers did not sustain high hand hygiene compliance numbers. More work is needed to determine what factors influence long term sustainment of hand hygiene compliance.

One of the drawbacks to current hand hygiene solutions is that they are short-acting. There have been some recent trials on a new longer-acting hand prep solution which has been shown in clinical trials to inactivate COVID-19 and bacteria up to 4 hours after application with no reports of skin irritation. Reference Shevachman, Mandal, Gelston, Mitragotri and Joshi53 This product and others should be evaluated using mixed-method hybrid study designs in various clinical settings to establish effectiveness and optimal implementation strategies.

Environmental cleaning/disinfection and management

The healthcare environment plays a key role in the transmission and persistence of healthcare-associated pathogens. Reference Peters, Schmid and Parneix65 For instance, several recent publications have highlighted that patients are at higher risk of C. difficile infection (CDI) if the prior occupant of the room they are in in had CDI. Reference Cohen, Cohen, Løyland and Larson66 Environmental management is a critical aspect of effective infection prevention, and it is essential for infection prevention and control teams to collaborate and partner closely with environmental management services (EMS) staff. The recent SHEA compendiums on MRSA and CDI prevention and the 2022 update on CDI prevention Reference Popovich, Aureden and Ham12,Reference Kociolek, Gerding and Carrico67 provide a set of recommendations for cleaning of patient rooms and acknowledge that the quality of evidence for many of the recommendations is low. Cleaning and disinfection of patient rooms is a complex activity that is an interplay of several possible discrete tasks (daily vs at discharge, high-touch surfaces vs all surfaces), tools (such as microfiber cloths and a variety of available products), technologies (such as ultraviolet light), healthcare personnel (nursing vs EMS), and physical layout (single vs multiple-occupancy rooms, isolation vs non-isolation patients). Moreover, environmental cleaning and disinfection of a patient’s room must often be completed under intense time pressure to have the room ready for the next patient. EMS staff, the personnel at the center of this complex set of behaviors, are often underappreciated and undertrained.

In the prior research agenda, several research gaps were identified, some of which have been addressed, but new, important questions have arisen (Table 4). For example, although it is increasingly evident that cleaning and disinfection are important for reducing the risk of infection to hospitalized patients, the intensity, frequency, technique, choice of product, and the role of novel existing and emerging technologies are all unanswered questions. Reference Rutala, Donskey and Weber68,Reference Donskey69 For example, Ultraviolet technology has been studied with positive results for reducing some, but not all, pathogens. In the VHA System, use of Ultraviolet C (UV-C) was associated with a 19% lower incidence of hospital-onset gram-negative bloodstream infection, Reference Goto, Hasegawa, Balkenende, Clore, Safdar and Perencevich70 but no decrease in hospital-onset CDI. Similarly, daily and at post-discharge UV-C added to standard cleaning and disinfection did not reduce VRE or CDI rates in non-VA cancer and solid organ transplant units. Reference Rock, Hsu and Curless71

Table 4. Veterans Healthcare Administration (VHA) research agenda for transmission prevention research: environmental cleaning/disinfection and management

Future studies should systematically examine the set of complex interventions that constitute environmental management with input by stakeholders to address barriers to effective cleaning/disinfection and incorporate innovations in this area. These questions may be well suited to mixed-methods approaches. Moreover, a fundamental gap exists in our understanding of what constitutes effective environmental cleaning and disinfection as it relates to the risk of pathogen transmission and what are the optimal monitoring methods to adopt. It is also important to identify whether or not sporicidal agents are needed for routine daily cleaning and disinfection or whether they should be targeted for high risk areas or for certain pathogens such as C. difficile. Given the permutations possible in the various environmental cleaning bundles, simulation modeling could be very useful to identify and narrow down promising approaches for further testing in trials (ideally cluster-randomized trials).

Special populations and settings

Transmission prevention strategies vary by healthcare settings. Most research has focused on acute care settings, but patients receive care across multiple settings such as in nursing homes, Reference Sturm, Flood, Montoya, Mody and Cassone83,Reference Wong, Huang, Wei, Wong and Kwok84 ambulatory care, Reference Harris, Chandramohan, Awali, Grewal, Tillotson and Chopra85,Reference Reynolds, Sexton, Pivo, Humphrey, Leslie and Gerba86 home care, Reference Keller, Hannum and Weems8792 and specialty units such as dialysis Reference D’Agata, Lindberg and Lindberg93Reference Johansen, Gilbertson, Wetmore, Peng, Liu and Weinhandl98 and rehabilitation or spinal cord injury. Reference Hughes, Evans and Ray99Reference Ramanathan, Fitzpatrick and Suda101 Policies and general acute care guidelines focusing on prevention of healthcare-associated infections (HAIs) and MDROs may not be appropriate for these patient populations and settings. For example, patients with limited mobility such as those with spinal cord injury may depend on healthcare workers to enter rooms more frequently and have many more opportunities for patient contact than patients with more mobility. As a result, standard protocols may need to be modified for these types of interactions when MDROs are involved. Reference Lones, Ramanathan and Fitzpatrick102 The evidence base on infection prevention in special populations or alternative care settings has evolved over the past five years, but significant research gaps remain.

Special populations have cross-cutting themes across healthcare settings and populations in relation to MDROs. For example, there is a need for additional surveillance activities and definitions of infections in home care. The growing burden and morbidity due to multidrug-resistant gram-negative infections are of particular significance in patients with spinal cord injury and those in long-term care where there is a need to assess prevalence and risk factors and identifying interventions to reduce or interrupt transmission for infections caused by these organisms. Other areas of continued research needs include understanding outbreaks and using lessons learned from the COVID-19 pandemic (long-term care/rehabilitation, dialysis), developing evidence-based practice for maintenance, stopping use of long-term devices (home care) including dialysis catheters, and designing interventions that incorporate patient engagement (dialysis). Additionally, emerging evidence suggests inequities exist in who is affected by HAIs and MDROs (eg, by race, ethnicity, and rurality), but further study is needed to understand the drivers of these inequities. Reference Chen, Khazanchi, Bearman and Marcelin103 Table 5 highlights the aforementioned research themes needed for special population settings.

Table 5. Veterans healthcare administration research agenda for transmission prevention research: special populations and settings

Biosurveillance

Biosurveillance, a systematic framework for the comprehensive monitoring, collection, analysis, interpretation, and dissemination of health-related data, plays a foundational role in MDRO epidemiology research. Reference Wagner, Moore and Aryel104 Integrating large healthcare systems with comprehensive electronic health records (EHRs) opened the door for near-real-time data collection from diverse care settings, with VHA leading the nation by establishing the Corporate Data Warehouse (CDW), which includes health data from across the country. 105,Reference Kolodner106

CDW also includes microbiology data and has become a fundamental resource in MDRO epidemiology research and operations, including early detection of resistant strains, identifying hotspots and risk factors, tracking antimicrobial use, and evaluating the effectiveness of programs and policies. Reference Goto, O’Shea and Livorsi5,Reference Khader, Thomas and Huskins107Reference Nelson, Evans and Simbartl109 VHA’s informatics infrastructure can serve as a model for many large, multi-facility healthcare systems.

There are also several areas where VHA may be able to improve upon its groundbreaking efforts. First, most current biosurveillance activities within the VHA continue to rely on structured data elements from the EHR. However, there is a vast quantity of unstructured information also present in the EHR. Expanding utilization of unstructured data elements, such as free-text documentation by healthcare providers, is a potential avenue to conducting more comprehensive surveillance. Second, the expansion of the VHA community care program in recent years allowed Veterans to seek care outside of VHA and improved access to care, Reference Schlosser, Kollisch, Johnson, Perkins and Olson110 but the lack of integration across information systems potentially creates fragmentation of care and gaps in health information, making longitudinal surveillance more challenging. Reference Tsai, Orav and Jha111 Lastly, the data sets currently accessible to researchers are largely limited to patient-level health data and structural information (eg, facility characteristics). Although VHA collects operational data for healthcare environments (eg, facility water quality monitoring) or daily operations activities (eg, availability and consumption of PPE), Reference Gamage, Jinadatha and Coppin112,113 research access to those data sources and integration with patient care data are relatively limited at this point.

To support advancement in healthcare epidemiology, there are several biosurveillance areas where improvements may be beneficial. First, the aforementioned unstructured data can be harnessed using natural language processing and large language models. VHA established the National Artificial Intelligence Institute (NAII) to facilitate the adaptation of advanced analytic technologies, which should be expanded to include healthcare epidemiology research. Reference Atkins, Makridis, Alterovitz, Ramoni and Clancy114 Second, the timely integration of healthcare data from VHA and non-VHA community partners through improved interoperability and information exchange can help researchers understand the global picture of the VHA patient population. Third, expanded research access to existing environmental and operational data, as well as new modalities of disease surveillance if adopted by VA (eg, facility wastewater monitoring), Reference Gamage, Jinadatha and Rizzo115 may help facilitate a better understanding of transmission dynamics. Fourth, expanded access to computational resources within the VHA firewall to support the efforts mentioned above is needed to advance science while protecting privacy and data security. 116 VHA recently launched the VA Enterprise Cloud, partnering with Amazon Web Services and Microsoft Azure platforms, 117 and expanding access to these cloud-based elastic computational resources can accommodate the needs of cutting-edge research. Lastly, VHA is in the midst of a monumental and unprecedented transition of its EHR system with a sequenced roll-out nationwide. These processes could potentially cause disruptions in data access and raise the need for new models of data collection, especially during the roll-out period, projected to last several years. This may hinder the ability of VHA researchers to conduct comprehensive and longitudinal analyses for some time into the future.

Conclusion

This document represents collaboration between national research and operations experts to identify key research goals in MDRO transmission prevention for 2024–2028. Subtopics include AS, contact precautions, hand hygiene, environmental cleaning/disinfection, special populations, and biosurveillance. There is great need for additional research in these areas, and the VHA is well suited to be a national leader in these MDRO transmission prevention domains.

Acknowledgments

The findings and conclusions in this document are those of the authors, who are responsible for its content, and do not necessarily represent the views of the Veterans Health Administration, the US Government, and the listed academic affiliates.

Financial support

This work was supported in part by funds and facilities provided by the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City Health Care System and by a Department of Veterans Affairs Quality Enhancement Research Initiative grant (QUE 20-016 to MR, CE, ENP). C.J.D reports research funding to his institution from Clorox and Ecolab.

Competing interests

All authors report no conflicts of interest relevant to the content of this manuscript.

References

Barrasa-Villar, JI, Aibar-Remón, C, Prieto-Andrés, P, Mareca-Doñate, R, Moliner-Lahoz, J. Impact on morbidity, mortality, and length of stay of hospital-acquired infections by resistant microorganisms. Clin Infect Dis 2017;65:644652.CrossRefGoogle ScholarPubMed
CDC. Antibiotic resistance threats in the United States, 2019. https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf. Accessed August 12, 2023.Google Scholar
National Action Plan for Combating Antibiotic-resistant Bacteria; 2020–2025. https://aspe.hhs.gov/sites/default/files/migrated_legacy_files//196436/CARB-National-Action-Plan-2020-2025.pdf. Accessed August 12, 2023.Google Scholar
Jain, R, Kralovic, SM, Evans, ME, et al. Veterans Affairs initiative to prevent methicillin-resistant Staphylococcus aureus infections. N Engl J Med 2011;364:14191430.CrossRefGoogle ScholarPubMed
Goto, M, O’Shea, AMJ, Livorsi, DJ, et al. The effect of a Nationwide infection control program expansion on hospital-onset gram-negative rod bacteremia in 130 Veterans Health Administration Medical Centers: an interrupted time-series analysis. Clin Infect Dis 2016;63:642650.CrossRefGoogle ScholarPubMed
Perencevich, EN, Harris, AD, Pfeiffer, CD, et al. Establishing a research agenda for preventing transmission of multidrug-resistant organisms in acute-care settings in the Veterans Health Administration. Infect Control Hosp Epidemiol 2018;39:189195.CrossRefGoogle ScholarPubMed
Evans, CT, Jump, RL, Krein, SL, et al. Setting a research agenda in prevention of Healthcare-Associated Infections (HAIs) and Multidrug-Resistant Organisms (MDROs) outside of acute care settings. Infect Control Hosp Epidemiol 2018;39:210213.CrossRefGoogle ScholarPubMed
Livorsi, DJ, Evans, CT, Morgan, DJ, et al. Setting the research agenda for preventing infections from multidrug-resistant organisms in the Veterans Health Administration. Infect Control Hosp Epidemiol 2018;39:186188.CrossRefGoogle ScholarPubMed
Suda, KJ, Livorsi, DJ, Goto, M, et al. Research agenda for antimicrobial stewardship in the Veterans Health Administration. Infect Control Hosp Epidemiol 2018;39:196201.CrossRefGoogle ScholarPubMed
Kates, AE, Tischendorf, JS, Schweizer, M, et al. Research agenda for microbiome based research for multidrug-resistant organism prevention in the Veterans Health Administration system. Infect Control Hosp Epidemiol 2018;39:202209.CrossRefGoogle ScholarPubMed
Livorsi, DJ B-EW, Drekonja, D, Eschevarria, KL, et al. Research agenda for antibiotic stewardship within the Veterans Health Administration, 2024–2028. Infect Control Hosp Epidemiol 2024:1–7.CrossRefGoogle Scholar
Popovich, KJ, Aureden, K, Ham, DC, et al. SHEA/IDSA/APIC Practice Recommendation: Strategies to prevent methicillin-resistant Staphylococcus aureus transmission and infection in acute-care hospitals: 2022 Update. Infecton Control Hosp Epidemiol 2023;44:10391067.CrossRefGoogle ScholarPubMed
Huskins, WC, Huckabee, CM, O’Grady, NP, et al. Intervention to reduce transmission of resistant bacteria in intensive care. N Engl J Med 2011;364:14071418.CrossRefGoogle ScholarPubMed
Kitano, T, Takagi, K, Arai, I, et al. A cost analysis of active surveillance culture in a neonatal intensive care unit. J Infect Prevent 2019;20:139149.CrossRefGoogle Scholar
Lapointe-Shaw, L, Voruganti, T, Kohler, P, Thein, H-H, Sander, B, McGeer, A. Cost-effectiveness analysis of universal screening for carbapenemase-producing Enterobacteriaceae in hospital inpatients. Eur J Clin Microbiol Infect Dis 2017;36:10471055.CrossRefGoogle ScholarPubMed
Lin, G, Tseng, KK, Gatalo, O, et al. Cost-effectiveness of carbapenem-resistant Enterobacteriaceae (CRE) surveillance in Maryland. Infect Control Hosp Epidemiol 2022;43:11621170.CrossRefGoogle ScholarPubMed
Mac, S, Fitzpatrick, T, Johnstone, J, Sander, B. Vancomycin-Resistant Enterococci (VRE) screening and isolation in the general medicine ward: a cost-effectiveness analysis. Antimicrob Resist Infect Control 2019;8:110.CrossRefGoogle ScholarPubMed
Perencevich, EN, Lautenbach, E. Infection prevention and comparative effectiveness research. JAMA 2011;305:14821483.CrossRefGoogle ScholarPubMed
Halloran, ME, Auranen, K, Baird, S, et al. Simulations for designing and interpreting intervention trials in infectious diseases. BMC Med 2017;15:18.CrossRefGoogle ScholarPubMed
Jeon, D, Chavda, S, Rennert-May, E, Leal, J. Clinical prediction tools for identifying Antimicrobial Resistant Organism (ARO) carriage on hospital admissions: a systematic review. J Hosp Infect 2023;134:11–26.CrossRefGoogle ScholarPubMed
Schweizer, M, Perencevich, E, McDanel, J, et al. Effectiveness of a bundled intervention of decolonization and prophylaxis to decrease Gram positive surgical site infections after cardiac or orthopedic surgery: systematic review and meta-analysis. BMJ 2013;346.CrossRefGoogle ScholarPubMed
Saraswat, MK, Magruder, JT, Crawford, TC, et al. Preoperative Staphylococcus aureus screening and targeted decolonization in cardiac surgery. Ann Thorac Surg 2017;104:13491356.CrossRefGoogle ScholarPubMed
Huttner, B, Robicsek, AA, Gervaz, P, et al. Epidemiology of methicillin-resistant Staphylococcus aureus carriage and MRSA surgical site infections in patients undergoing colorectal surgery: a cohort study in two centers. Surg Infect 2012;13:401405.CrossRefGoogle ScholarPubMed
Huang, SS, Singh, R, McKinnell, JA, et al. Decolonization to reduce postdischarge infection risk among MRSA carriers. N Engl J Med 2019;380:638650.CrossRefGoogle ScholarPubMed
Miller, LG, McKinnell, JA, Singh, RD, et al. Decolonization in nursing homes to prevent infection and hospitalization. N Engl J Med 2023;389:17661777.CrossRefGoogle ScholarPubMed
Harris, AD, Pineles, L, Belton, B, et al. Universal glove and gown use and acquisition of antibiotic-resistant bacteria in the ICU: a randomized trial. JAMA 2013;310:15711580.Google ScholarPubMed
Huang, SS, Septimus, E, Kleinman, K, et al. Targeted versus universal decolonization to prevent ICU infection. N Engl J Med 2013;368:22552265.CrossRefGoogle ScholarPubMed
Morgan, DJ, Wenzel, RP, Bearman, G. Contact precautions for endemic MRSA and VRE: time to retire legal mandates. JAMA 2017;318:329330.CrossRefGoogle ScholarPubMed
Diekema, DJ, Nori, P, Stevens, MP, Smith, MW, Coffey, K, Morgan, DJ. Are contact precautions “essential” for the prevention of healthcare-associated methicillin-resistant Staphylococcus aureus? Clin Infect Dis 2023:ciad571.Google Scholar
Fitzpatrick, F, Perencevich, E. Putting contact precautions in their place. J Hosp Infect 2017;96:99100.CrossRefGoogle ScholarPubMed
Khader, K, Thomas, A, Stevens, V, et al. Association between contact precautions and transmission of Methicillin-resistant Staphylococcus aureus in Veterans affairs hospitals. JAMA Netwk Open 2021;4:e210971e210971.CrossRefGoogle ScholarPubMed
Blanco, N, Harris, AD, Magder, LS, et al. Sample size estimates for cluster-randomized trials in hospital infection control and antimicrobial stewardship. JAMA Netwk Open 2019;2:e1912644e1912644.CrossRefGoogle ScholarPubMed
Evans, ME, Simbartl, LA, McCauley, BP, et al. Active surveillance and contact precautions for preventing methicillin-resistant Staphylococcus aureus healthcare-associated infections during the COVID-19 pandemic. Clin Infect Dis 2023;77:13811386.CrossRefGoogle ScholarPubMed
O’Hara, LM, Calfee, DP, Miller, LG, et al. Optimizing contact precautions to curb the spread of antibiotic-resistant bacteria in hospitals: a multicenter cohort study to identify patient characteristics and healthcare personnel interactions associated with transmission of methicillin-resistant Staphylococcus aureus. Clin Infect Dis 2019;69:S171S177.CrossRefGoogle ScholarPubMed
Thakur, M, Alhmidi, H, Cadnum, JL, et al. Use of viral DNA surrogate markers to study routes of transmission of healthcare-associated pathogens. Infect Control Hosp Epidemiol 2021;42:274279.CrossRefGoogle ScholarPubMed
Sharma, A, Pillai, DR, Lu, M, et al. Impact of isolation precautions on quality of life: a meta-analysis. J Hosp Infect 2020;105:3542.CrossRefGoogle ScholarPubMed
Harris, AD, Morgan, DJ, Pineles, L, Magder, L, O’Hara, LM, Johnson, JK. Acquisition of antibiotic-resistant gram-negative bacteria in the Benefits of Universal Glove and Gown (BUGG) cluster randomized trial. Clin Infect Dis 2021;72:431437.CrossRefGoogle ScholarPubMed
Smith, M, Singh, H, Sherman, JD. Infection prevention, planetary health, and single-use plastics. JAMA 2023;330:20.CrossRefGoogle Scholar
Bhatt, J, Collier, S. Reducing health care–associated infection: getting hospitals and health systems to zero. Ann Intern Med 2019;171:S81S82.CrossRefGoogle ScholarPubMed
Wang, Y, Yang, J, Qiao, F, et al. Compared hand hygiene compliance among healthcare providers before and after the COVID-19 pandemic: a rapid review and meta-analysis. Am J Infect Control 2022;50:563571.CrossRefGoogle ScholarPubMed
van der Kooi, T, Sax, H, Grundmann, H, et al. Hand hygiene improvement of individual healthcare workers: results of the multicentre PROHIBIT study. Antimicrob Resist Infect Control 2022;11:123.CrossRefGoogle ScholarPubMed
CDC. 2024 Guideline to Prevent Transmission of Pathogens in Healthcare Settings. https://www.cdc.gov/hicpac/pdf/DRAFT-2024-Guideline-to-Prevent-Transmission-of-Pathogens-2023-10-23-508.pdf. Accessed August 12, 2023.Google Scholar
Thom, KA, Rock, C, Robinson, GL, et al. Alcohol-based decontamination of gloved hands: a randomized controlled trial. Infect Control Hosp Epidemiol 2023;Nov:17.Google ScholarPubMed
Thom, KA, Rock, C, Robinson, GL, et al. Direct gloving vs hand hygiene before donning gloves in adherence to hospital infection control practices: a cluster randomized clinical trial. JAMA Netwrk Open 2023;6:e2336758e2336758.CrossRefGoogle ScholarPubMed
Marimuthu, K, Venkatachalam, I, Koh, V, et al. Whole genome sequencing reveals hidden transmission of carbapenemase-producing Enterobacterales. Nat Commun 2022;13:3052.CrossRefGoogle ScholarPubMed
Purssell, E, Drey, N, Chudleigh, J, Creedon, S, Gould, DJ. The Hawthorne effect on adherence to hand hygiene in patient care. J Hosp Infect 2020;106:311317.CrossRefGoogle ScholarPubMed
Bredin, D, O’Doherty, D, Hannigan, A, Kingston, L. Hand hygiene compliance by direct observation in physicians and nurses: a systematic review and meta-analysis. J Hosp Infect 2022;130:20–33.CrossRefGoogle ScholarPubMed
Jeanes, A, Coen, PG, Gould, DJ, Drey, NS. Validity of hand hygiene compliance measurement by observation: a systematic review. Am J Infect Control 2019;47:313322.CrossRefGoogle ScholarPubMed
Glowicz, JB, Landon, E, Sickbert-Bennett, EE, et al. SHEA/IDSA/APIC Practice Recommendation: strategies to prevent healthcare-associated infections through hand hygiene: 2022 Update. Infect Control Hosp Epidemiol 2023;44:355376.CrossRefGoogle ScholarPubMed
Wang, C, Jiang, W, Yang, K, et al. Electronic monitoring systems for hand hygiene: systematic review of technology. J Med Internet Res 2021;23:e27880.CrossRefGoogle ScholarPubMed
Knudsen, AR, Kolle, S, Hansen, M, Møller, J. Effectiveness of an electronic hand hygiene monitoring system in increasing compliance and reducing healthcare-associated infections. J Hosp Infect 2021;115:7174.CrossRefGoogle ScholarPubMed
Boyce, JM, Laughman, JA, Ader, MH, Wagner, PT, Parker, AE, Arbogast, JW. Impact of an automated hand hygiene monitoring system and additional promotional activities on hand hygiene performance rates and healthcare-associated infections. Infect Control Hosp Epidemiol 2019;40:741747.CrossRefGoogle ScholarPubMed
Shevachman, M, Mandal, A, Gelston, K, Mitragotri, S, Joshi, N. A long-lasting skin protectant based on CG-101, a deep eutectic solvent comprising choline and Geranic acid. Global Challenges 2022;6:2200064.CrossRefGoogle ScholarPubMed
Woodard, JA, Leekha, S, Jackson, SS, Thom, KA. Beyond entry and exit: hand hygiene at the bedside. Am J Infect Control 2019;47:487491.CrossRefGoogle ScholarPubMed
Kovacs-Litman, A, Muller, MP, Powis, JE, et al. Association between hospital outbreaks and hand hygiene: insights from electronic monitoring. Clin Infect Dis 2021;73:e3656e3660.CrossRefGoogle ScholarPubMed
Chang, N-CN, Schweizer, ML, Reisinger, HS, et al. The impact of workload on hand hygiene compliance: Is 100% compliance achievable? Infect Control Hosp Epidemiol 2022;43:12591261.CrossRefGoogle ScholarPubMed
Siebers, C, Mittag, M, Grabein, B, Zoller, M, Frey, L, Irlbeck, M. Hand hygiene compliance in the intensive care unit: hand hygiene and glove changes. Am J Infect Control 2023;51:1167–1171.CrossRefGoogle ScholarPubMed
Kelly, D, Purssell, E, Wigglesworth, N, Gould, D. Electronic hand hygiene monitoring systems can be well-tolerated by health workers: findings of a qualitative study. J Infect Prevent 2021;22:246251.CrossRefGoogle ScholarPubMed
Sreeramoju, P, Voy-Hatter, K, White, C, et al. Results and lessons from a hospital-wide initiative incentivised by delivery system reform to improve infection prevention and sepsis care. BMJ Open Qual 2021;10:e001189.CrossRefGoogle ScholarPubMed
Chong, CY, Catahan, MA, Lim, SH, et al. Patient, staff empowerment and hand hygiene bundle improved and sustained hand hygiene in hospital wards. J Paediatr Child Health 2021;57:14601466.CrossRefGoogle ScholarPubMed
Mazi, WA, Abdulwahab, MH, Alashqar, MA, et al. Sustained low incidence rates of central line-associated blood stream infections in the intensive care unit. Infect Drug Resist 2021;5:889894.CrossRefGoogle ScholarPubMed
Ganesan, V, Sundaramurthy, R, Thiruvanamalai, R, et al. Hand hygiene auditing: is it a roadway to improve adherence to hand hygiene among hospital personnel? Cureus 2022;14:5.Google Scholar
Kampf, G, Lemmen, S. Disinfection of gloved hands for multiple activities with indicated glove use on the same patient. J Hosp Infect 2017;97:310.CrossRefGoogle ScholarPubMed
Fehling, P, Hasenkamp, J, Unkel, S, et al. Effect of gloved hand disinfection on hand hygiene before infection-prone procedures on a stem cell ward. J Hosp Infect 2019;103:321327.CrossRefGoogle ScholarPubMed
Peters, A, Schmid, MN, Parneix, P, et al. Impact of environmental hygiene interventions on healthcare-associated infections and patient colonization: a systematic review. Antimicrob Resist Infect Control 2022;11:38.CrossRefGoogle ScholarPubMed
Cohen, B, Cohen, CC, Løyland, B, Larson, EL. Transmission of health care-associated infections from roommates and prior room occupants: a systematic review. Clin Epidemiol 2017;23:297310.CrossRefGoogle ScholarPubMed
Kociolek, LK, Gerding, DN, Carrico, R, et al. Strategies to prevent Clostridioides difficile infections in acute-care hospitals: 2022 update. Infect Control Hosp Epidemiol 2023;44:527549.CrossRefGoogle ScholarPubMed
Rutala, WA, Donskey, C.J., Weber, DJ. Disinfection and sterilization: new technologies. Am J Infect Control 2023;51:A13A21.CrossRefGoogle ScholarPubMed
Donskey, CJ. Continuous surface and air decontamination technologies: current concepts and controversies. Am J Infect Control 2023;51:A144A150.CrossRefGoogle Scholar
Goto, M, Hasegawa, S, Balkenende, EC, Clore, GS, Safdar, N, Perencevich, EN. Effectiveness of ultraviolet-C disinfection on hospital-onset gram-negative rod bloodstream infection: a nationwide stepped-wedge time-series analysis. Clin Infect Dis 2023;76:291298.CrossRefGoogle ScholarPubMed
Rock, C, Hsu, YJ, Curless, MS, et al. Ultraviolet-C light evaluation as adjunct disinfection to remove multidrug-resistant organisms. Clin Infect Dis 2022;75:3540.CrossRefGoogle ScholarPubMed
Cohen, B, Liu, J, Cohen, AR, Larson, E. Association between healthcare-associated infection and exposure to hospital roommates and previous bed occupants with the same organism. Infect Control Hosp Epidemiol 2018;39:541546.CrossRefGoogle ScholarPubMed
Allen, M, Hall, L, Halton, K, Graves, N. Improving hospital environmental hygiene with the use of a targeted multi-modal bundle strategy. Infect Dis Health 2018;23:107113.CrossRefGoogle ScholarPubMed
Barker, AK, Alagoz, O, Safdar, N. Interventions to reduce the incidence of hospital-onset Clostridium difficile infection: an agent-based modeling approach to evaluate clinical effectiveness in adult acute care hospitals. Clin Infect Dis 2018;66:11921203.CrossRefGoogle ScholarPubMed
Mitchell, BG, Hall, L, White, N, et al. An environmental cleaning bundle and health-care-associated infections in hospitals (REACH): a multicentre, randomised trial. Lancet Infect Dis 2019;19:410418.CrossRefGoogle Scholar
Barker, AK, Scaria, E, Safdar, N, Alagoz, O. Evaluation of the cost-effectiveness of infection control strategies to reduce hospital-onset Clostridioides difficile infection. JAMA Netwrk Open 2020;3:e2012522e2012522.CrossRefGoogle ScholarPubMed
Scaria, E, Barker, AK, Alagoz, O, Safdar, N. Association of visitor contact precautions with estimated hospital-onset Clostridioides difficile infection rates in acute care hospitals. JAMA Netwrk Open 2021;4:e210361e210361.CrossRefGoogle ScholarPubMed
Ziegler, MJ, Babcock, HH, Welbel, SF, et al. Stopping Hospital Infections with Environmental Services (SHINE): a cluster-randomized trial of intensive monitoring methods for terminal room cleaning on rates of multidrug-resistant organisms in the intensive care unit. Clin Infect Dis 2022;75:12171223.CrossRefGoogle Scholar
Bernstein, DA, Salsgiver, E, Simon, MS, et al. Understanding barriers to optimal cleaning and disinfection in hospitals: a knowledge, attitudes, and practices survey of environmental services workers. Infect Control Hosp Epidemiol 2016;37:14921495.CrossRefGoogle ScholarPubMed
Goedken, CC, McKinley, L, Balkenende, E, et al. “Our job is to break that chain of infection”: challenges Environmental Management Services (EMS) staff face in accomplishing their critical role in infection prevention. Antimicrob Stewardship Healthc Epidemiol 2022;2:e129.CrossRefGoogle ScholarPubMed
McKinley, L, Goedken, C, Balkenende, E, et al. Evaluation of daily environmental cleaning and disinfection practices in Veterans affairs acute and long-term care facilities: a mixed methods study. Am J Infect Control 2023;51:205213.CrossRefGoogle ScholarPubMed
McKinley, LL, Goedken, CC, Balkenende, EC, et al. Using a human-factors engineering approach to evaluate environmental cleaning in Veterans’ affairs acute and long-term care facilities: a qualitative analysis. Infect Control Hosp Epidemiol 2023;24:19.Google ScholarPubMed
Sturm, L, Flood, M, Montoya, A, Mody, L, Cassone, M. Updates on infection control in alternative health care settings. Infect Dis Clin 2021;35:803825.Google ScholarPubMed
Wong, VWY, Huang, Y, Wei, WI, Wong, SYS, Kwok, KO. Approaches to multidrug-resistant organism prevention and control in long-term care facilities for older people: a systematic review and meta-analysis. Antimicrob Resist Infect Control 2022;11:114.CrossRefGoogle ScholarPubMed
Harris, A, Chandramohan, S, Awali, RA, Grewal, M, Tillotson, G, Chopra, T. Physicians’ attitude and knowledge regarding antibiotic use and resistance in ambulatory settings. Am J Infect Control 2019;47:864868.CrossRefGoogle ScholarPubMed
Reynolds, KA, Sexton, JD, Pivo, T, Humphrey, K, Leslie, RA, Gerba, CP. Microbial transmission in an outpatient clinic and impact of an intervention with an ethanol-based disinfectant. Am J Infect Control 2019;47:128132.CrossRefGoogle Scholar
Keller, SC, Hannum, SM, Weems, K, et al. Implementing and validating a home-infusion central-line–associated bloodstream infection surveillance definition. Infect Control Hosp Epidemiol 2023;44:112.Google ScholarPubMed
Adawee, M, Cole, S. Establishing an evidence-based infection surveillance program for home care and hospice: a large Midwest health system’s experience. Am J Infect Control 2021;49:15511553.CrossRefGoogle ScholarPubMed
Shang, J, Larson, E, Liu, J, Stone, P. Infection in home health care: results from national outcome and assessment information set data. Am J Infect Control 2015;43:454459.CrossRefGoogle ScholarPubMed
Shang, J, Wang, J, Adams, V, Ma, C. Risk factors for infection in home health care: analysis of national outcome and assessment information set data. Res Nurs Health 2020;43:373386.CrossRefGoogle ScholarPubMed
Maelegheer, K, Dumitrescu, I, Verpaelst, N, et al. Infection prevention and control challenges in Flemish homecare nursing: a pilot study. Br J Commun Nurs 2020;25:114121.CrossRefGoogle ScholarPubMed
APIC – HICPAC Surveillance Definitions for Home Health Care and Home Hospice Infections. 2008. https://www.apic.org/Resource_/TinyMceFileManager/Practice_Guidance/HH-Surv-Def.pdf. Accessed December 12, 2023.Google Scholar
D’Agata, EM, Lindberg, CC, Lindberg, CM, et al. The positive effects of an antimicrobial stewardship program targeting outpatient hemodialysis facilities. Infect Control Hosp Epidemiol 2018;39:14001405.CrossRefGoogle ScholarPubMed
Apata, IW, Kabbani, S, Neu, AM, et al. Opportunities to improve antibiotic prescribing in outpatient hemodialysis facilities: a report from the American Society of Nephrology and Centers for Disease Control and Prevention Antibiotic Stewardship White Paper Writing Group. Am J Kidney Dis 2021;77:757768.CrossRefGoogle ScholarPubMed
Midturi, JK, Ranganath, S. Prevention and treatment of multidrug-resistant organisms in end-stage renal disease. Adv Chronic Kidney Dis 2019;26:5160.CrossRefGoogle ScholarPubMed
Wong, KK, Velasquez, A, Powe, NR, Tuot, DS. Association between health literacy and self-care behaviors among patients with chronic kidney disease. BMC Nephrol 2018;19:18.CrossRefGoogle ScholarPubMed
Xu, Y, Zhang, Y, Yang, B, et al. Prevention of peritoneal dialysis-related peritonitis by regular patient retraining via technique inspection or oral education: a randomized controlled trial. Nephrol Dial Transplant 2020;35:676686.CrossRefGoogle ScholarPubMed
Johansen, KL, Gilbertson, DT, Wetmore, JB, Peng, Y, Liu, J, Weinhandl, ED. Catheter-associated bloodstream infections among patients on hemodialysis: progress before and during the COVID-19 pandemic. Clin J Am Soc Nephrol 2022;17:429433.CrossRefGoogle ScholarPubMed
Hughes, AM, Evans, CT, Ray, C, et al. Antimicrobial stewardship strategy implementation and impact in acute care spinal cord injury and disorder units. J Spinal Cord Med 2023;21:117.CrossRefGoogle ScholarPubMed
Fitzpatrick, MA, Solanki, P, Wirth, M, et al. Perceptions, experiences, and beliefs regarding urinary tract infections in patients with neurogenic bladder: A qualitative study. Plos One 2023;18:e0293743.CrossRefGoogle ScholarPubMed
Ramanathan, S, Fitzpatrick, MA, Suda, KJ, et al. Multidrug-resistant gram-negative organisms and association with 1-year mortality, readmission, and length of stay in Veterans with spinal cord injuries and disorders. Spinal Cord 2020;58:596608.CrossRefGoogle ScholarPubMed
Lones, K, Ramanathan, S, Fitzpatrick, M, et al. The feasibility of an infection control “safe zone” in a spinal cord injury unit. Infect Control Hosp Epidemiol 2016;37:714716.CrossRefGoogle Scholar
Chen, J, Khazanchi, R, Bearman, G, Marcelin, JR. Racial/ethnic inequities in healthcare-associated infections under the shadow of structural racism: narrative review and call to action. Curr Infect Dis Rep 2021;23:17.CrossRefGoogle ScholarPubMed
Wagner, MM, Moore, AW, Aryel, RM. Handbook of Biosurveillance. Amsterdam; Boston, MA: Academic Press; 2006.Google Scholar
Corporate Data Warehouse (CDW). https://www.hsrd.research.va.gov/for_researchers/vinci/cdw.cfm. Accessed May 12, 2019.Google Scholar
Kolodner, RM. Creating a robust multi-facility healthcare information system. Computerizing Large Integrated Health Networks. 1997:3956. New York, NY: Springer New York.Google Scholar
Khader, K, Thomas, A, Huskins, WC, et al. Effectiveness of contact precautions to prevent transmission of methicillin-resistant Staphylococcus aureus and Vancomycin-resistant enterococci in intensive care units. Clin Infect Dis 2021;72:S42S49.CrossRefGoogle ScholarPubMed
Kelly, AA, Jones, MM, Echevarria, KL, et al. A report of the efforts of the Veterans Health Administration National Antimicrobial Stewardship Initiative. Infect Control Hosp Epidemiol 2017;38:513520.CrossRefGoogle ScholarPubMed
Nelson, RE, Evans, ME, Simbartl, L, et al. Methicillin-resistant Staphylococcus aureus colonization and pre- and post-hospital discharge infection risk. Clin Infect Dis 2019;68:545553.CrossRefGoogle ScholarPubMed
Schlosser, J, Kollisch, D, Johnson, D, Perkins, T, Olson, A. VA-community dual care: Veteran and clinician perspectives. J Commun Health 2020;45:795802.CrossRefGoogle ScholarPubMed
Tsai, TC, Orav, EJ, Jha, AK. Care fragmentation in the postdischarge period: surgical readmissions, distance of travel, and postoperative mortality. JAMA Surg 2015;150:5964.CrossRefGoogle ScholarPubMed
Gamage, SD, Jinadatha, C, Coppin, JD, et al. Factors that affect legionella positivity in healthcare building water systems from a large, national environmental surveillance initiative. Environ Sci Technol 2022;56:1136311373.CrossRefGoogle ScholarPubMed
National Surveillance Tool Assesses Readiness across VA’s Health System. https://news.va.gov/74896/national-surveillance-tool-assesses-readiness-across-vas-health-system/.Google Scholar
Atkins, D, Makridis, CA, Alterovitz, G, Ramoni, R, Clancy, C. Developing and implementing predictive models in a learning healthcare system: traditional and artificial intelligence approaches in the Veterans Health Administration. Annu Rev Biomed Data Sci 2022;5:393413.CrossRefGoogle Scholar
Gamage, SD, Jinadatha, C, Rizzo, V Jr, et al. Nursing home wastewater surveillance for early warning of SARS-CoV-2-positive occupants–insights from a pilot project at eight facilities. Am J Infect Control 2024; 4 (in press).CrossRefGoogle Scholar
VHA Directive 1605.01 Privacy and Release of Information. 2023. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=11388.Google Scholar
Figure 0

Table 1. Veterans Healthcare Administration research agenda for transmission prevention research: active surveillance

Figure 1

Table 2. Veterans Healthcare Administration research agenda for transmission prevention research: isolation measures

Figure 2

Table 3. Veterans healthcare administration research agenda for transmission prevention research: hand hygiene

Figure 3

Table 4. Veterans Healthcare Administration (VHA) research agenda for transmission prevention research: environmental cleaning/disinfection and management

Figure 4

Table 5. Veterans healthcare administration research agenda for transmission prevention research: special populations and settings