Health Services Research & Development

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Each week the monthly spotlight features a topic-related HSR&D study.

November 2018

Spotlight on Healthcare Associated Infection Research:  Evidence-Based Use of Antibiotics

 Cognitive Support Informatics for Antimicrobial Stewardship

(Photo ©iStock/megaflopp)

Infections acquired within a healthcare setting are known as healthcare-associated infections (HAI), and according to the Centers for Disease Control & Prevention (CDC), on any given day, about one in 25[i] hospital patients has at least one HAI, and approximately 99,000 deaths[ii] each year are attributable to HAIs.

For healthcare organizations, preventive measures designed to reduce and eliminate HAIs are crucial for patient safety. As VA is one of the largest healthcare systems in the country—providing care to over 8.7 million Veterans in 300 VA hospitals and 827[iii] community-based outpatient clinics—preventing HAIs is a priority. Infection control and prevention is a VA-wide effort that includes VA's Office of Public Health in collaboration with other VA program offices, who work together to preventing and responding to HAIs. Investigators within VA's Health Services Research & Development Service (HSR&D) support those efforts through research studies that contribute to the evidence-base for effective HAI prevention practices and policy.

Week 4: Cognitive Support Informatics for Antimicrobial Stewardship

Antibiotics, when used appropriately, are extremely effective in treating a number of bacterial infections. However, inappropriate use can lead to an increase in both bacterial resistance and healthcare costs, compromising patient safety and quality of care. Antimicrobial stewardship programs (ASPs) encourage the use of evidence-based decisions around antibiotic use, ensure optimal dosing, and limit unintended consequences. However, more evidence is needed to support best practices for ASP. In this study, investigators sought to correlate ASP efforts at individual VA medical centers nationwide with quality indicators of antimicrobial usage, and develop decision support tools that promote appropriate antimicrobial utilization.

Initial study data resulted in identifying five factors associated, with at least three potentially favorable (i.e. reduced antibiotic use and/or reduced missed chances) outcomes:

  • presence of postgraduate physician/pharmacy training programs,
  • number of antibiotic-specific order sets that were present in the electronic medical record
  • degree to which ASPs perform systematic de-escalation review, presence of pharmacists and/or Infectious Diseases (ID) attending physicians on acute care ward teams, and
  • formal ID training of the lead ASP pharmacist.

Three factors were associated with at least two unfavorable outcomes:

  • level of engagement with VA Antimicrobial Stewardship Task Force (ASTF) sample policies,
  • presence of antibiotic stop orders, and
  • number of beds.

Results also suggest that formalization and presence of ID expertise are associated with potentially favorable antibiotic-related outcomes and that systematic de-escalation review and establishment of order sets may be high-yield ASP interventions.


Implications. This study approaches antimicrobial stewardship from a health-system perspective rather than from a purely single-hospital perspective. As antibiotic resistance in any single hospital is partially attributable to antibiotic resistance in other connected hospitals, investigators suggest that this study lays a framework for a comprehensive approach to combat resistance. Data culled from this thorough assessment of the impact of specific existing VA stewardship activities—as well as a prospective analysis of enhanced stewardship interventions—will be relevant not only to the VA but also to other large healthcare systems interested in using informatics to improve care. Based on this work, investigators have created visual displays that may help a facility steward compare aspects of their antimicrobial utilization to all VA facilities and then generate unique views of local antimicrobial use. Investigators have also created a decision aid to optimize antimicrobial-related inpatient care under target conditions. Resulting tools and data are applicable across the VA system, and will directly impact patient care.

Principal Investigator.  Peter A. Glassman MBBS, MSc, is an affiliate investigator with the HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy in Los Angeles, CA.

 

Publications. This study has resulted in numerous publications, including:

Chou AF, Graber CJ, Jones M, et al. Characteristics of Antimicrobial Stewardship Programs at Veterans Affairs Hospitals: Results of a Nationwide Survey. Infection Control & Hospital Epidemiology 2016;37(6):647-54.

Graber CJ, Jones M, Chou AF, et al. Association of Inpatient Antimicrobial Outcomes with Antimicrobial Stewardship Activities and Facility Characteristics of Veterans Affairs Medical Centers, 2012Journal of Hospital Medicine 2017;12(5):301-9.

Chou AF, Graber CJ, Zhang Y, et al. Specifying an Implementation Framework for Veterans Affairs Antimicrobial Stewardship Programmes: Using a Factor Analysis Approach. The Journal of Antimicrobial Chemotherapy. 2018 Sep 1; 73(9):2559-2566.

Goetz MB, Graber CJ, Jones M, et al. Broad Spectrum Antibiotic Use at Choice, Change, and Completion throughout VA: Patterns of Initiation and De-escalation. Open Forum Infectious Diseases. 2017 Oct 4; 4(Supplemental 1):S250-S251


Week 2 and 3: Using Economics and Epidemiology to Evaluate MRSA Decolonization in the VA

Costs and Benefits of Infection Prevention

(Photo ©iStock/knape)

While a number of prevention strategies for healthcare-associated infections (HAIs) are available to providers and healthcare policy makers, the scope, cost, and effectiveness of these strategies is still not well-understood.

In this recently concluded HS&RD Career Development Program award study, investigators sought to apply cutting-edge empirical methods of estimating the costs and benefits of prevention efforts to reduce HAIs due to methicillin-resistant Staphylococcus aureus (MRSA) within the VA.

This project sought to understand any additional, outside benefits associated with decolonization of MRSA-positive Veterans; estimate the cost and healthcare use associated with hospital-acquired MRSA infections in the VA; and perform economic evaluations of infection control strategies. 

Investigators used a nationwide microbiology database from VA patient encounters to construct measures of HAIs. This microbiology data was then integrated with other VA clinical, administrative, and economic data sets in order to estimate the consequences of HAIs including mortality, and pre- and post-discharge costs. Investigators also created a model that estimated the cost-effectiveness and budget impact of the VA’s MRSA Prevention Initiative. Investigators then estimated the increased risk of infection due to acquired MRSA colonization separate from imported MRSA colonization, and measured the proportion of MRSA infections that occurred during the post-discharge period.

Results indicated that excess cost and mortality of HAIs can be substantial both in the pre- and post-discharge period. However, these estimates are biased when the time-dependent nature of HAIs is not taken into account. Data analysis also showed that VA HAI interventions are cost-effective at a standard “willingness-to-pay” threshold. Finally, MRSA colonization is strongly associated with subsequent infection, and a large proportion of infections occurred in the post-discharge period.

Implications. Investigators expect that health economic evaluation, informed by VA-specific estimates of the cost and mortality consequences of HAIs, can be useful to policy makers considering different strategies to prevent the spread of infectious pathogens in the hospital. The results from these studies may help in the efficient allocation of limited resources within a fixed budget. Investigators recommend that any future work extend include infection control strategies designed to reduce HAIs associated with other organisms, such as Clostridium difficile and Gram-negative bacteria. 

Principal Investigator. Richard E. Nelson, PhD, is a Core Investigator with the HSR&D

Center for Informatics, Decision-Enhancement and Analytic Sciences Center at the VA Salt Lake City Healthcare System.


Week 1: Gown and Glove Use to Prevent the Spread of Infection in VA Community Living Centers


(The HSR&D Gown and Glove Research Team)

Methicillin-resistant Staphylococcus aureus (MRSA) is an antibiotic-resistant bacteria that is a common  cause of healthcare-associated infections (HAI). It is transmitted through direct or indirect contact with either individuals who are infected with MRSA or individuals who may be carrying the bacteria but are not infected. Often, healthcare workers (HCW) serve as a primary vector for transmission. In acute care settings, VA HCWs are required to use Contact Precautions (single room, gown and gloves for all patient-HCW contact, patient room restriction) for patients colonized with MRSA to prevent transmission to other patients. In long-term care settings, current CDC Multidrug Resistant Organisms Guidelines (MDROG) suggest modifying Contact Precautions, but there is little evidence to guide how to modify them. The use of gowns, gloves, and hand washing prevent MRSA transmission; however, their use detracts from a patient-centered, home-like environment—an important priority for nursing homes.

In this study, investigators sought to estimate the frequency of and risk factors for MRSA transmission to gowns and gloves when worn by healthcare workers providing care to VA Community Living Center (CLC) residents in seven states. MRSA surveillance results and clinical cultures were used to identify residents with a history of MRSA the year prior to enrollment. Two hundred residents were enrolled; 94 were MRSA colonized at enrollment.

Results showed that glove contamination was higher than gown contamination (20% vs. 11% of 1544 interactions). Transmission varied greatly by type of care from 0% to 19% for gowns and 7% to 37% for gloves. Identified high-risk activities included: changing dressings (e.g., wound, j-tube), dressing the resident, providing hygiene (e.g., brushing teeth, combing hair), and bathing the resident. Low-risk activities included giving medications, testing blood glucose, and feeding.

Additional findings from further analyses of the data and specimens collected for this study focused on the presence and transmission of other bacteria.  Fifty-seven participants were colonized with an antibiotic-resistant Gram-negative bacteria (R-GNB). The high-risk and low-risk activities identified for transmission of R-GNB were similar to the activities identified for transmission of MRSA. Forty randomly selected participants were tested for toxigenic C. difficile at enrollment. None of them were positive, indicating a low prevalence of toxigenic C. difficile during endemic periods.

Implications. The VA Gown and Glove study goal was to identify the types of care provided in VA CLCs that are most likely to allow MRSA and other bacteria to spread to other residents. With this information, providers can be more specific in when HCWs need to wear gowns and gloves and wash their hands when caring for MRSA colonized residents, creating a more resident-centered, home-like environment in the Community Living Centers.

Results of this study been shared with study sites and the VA Multidrug Resistant Organism (MDRO) Prevention Program. The results also were incorporated into the VHA Guideline for Implementation of the VHA MRSA Prevention Initiative in CLCs, improving care for Veterans in the CLCs.

 

Principal Investigator. Mary-Claire Roghmann, MD, MS, is a Research Health Scientist and Staff Physician for the VA Maryland Health Care System.

Publications. This study resulted in the following publications:

References

[i] Centers for Disease Control & Prevention, 2016 Current HAI Progress Report.

[ii] Ibid

[iii] Department of Veterans Affairs website. Section: National Center for Veterans Analysis and Statistics.