American Journal of Critical Care. 2010;19: 16-26 doi:10.4037/ajcc2009467
Copyright © 2010 by the American Association of Critical-Care Nurses.
CE Article
Isolation Precautions for Methicillin-Resistant Staphylococcus aureus: Electronic Surveillance to Monitor Adherence
By
Elaine L. Larson, RN, PhD, CIC,
Bevin Cohen, BA,
Barbara Ross, RN, BSN, CIC and
Maryam Behta, PharmD.
Elaine L. Larson is associate dean for research and professor of therapeutic and pharmaceutical research in the School of Nursing and professor of epidemiology in the Mailman School of Public Health at Columbia University, New York, New York. Bevin Cohen is a project manager at the Center for Interdisciplinary Research to Prevent Antimicrobial Resistance at Columbia University. Barbara Ross is a nurse epidemiologist at New York-Presbyterian Hospital System, New York, New York. Maryam Behta is director of quality research and technology utilization for the New York-Presbyterian Hospital System.
Corresponding author: Elaine L. Larson, RN, PhD, CIC, 630 W 168th St, New York, NY 10032 (e-mail: Ell23{at}columbia.edu).
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Abstract
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The Centers for Disease Control and Prevention recently updated guidelines for isolation precautions and added specific recommendations for the management of multidrug-resistant organisms. However, the extent to which these recommendations are followed is unknown. Although the recommendations are based on studies with high internal validity, the effectiveness of these interventions in clinical practice also is unknown. Evidence of the effectiveness of isolation precautions for preventing transmission of infections caused by multidrug-resistant organisms in acute care settings, with methicillin-resistant Staphylococcus aureus as an example, was reviewed. Despite a lack of experimental data, numerous descriptive and correlational studies and a sound theoretical rationale strongly suggest that barrier precautions play an important role in the prevention of transmission of infections due to multidrug-resistant organisms. Two major problems, however, still exist. First, staff members adherence to national recommendations on isolation precautions, although insufficiently described, appears to be inadequate. Second, efficient, reproducible methods for ongoing surveillance of practices such as isolation precautions are not readily available. Automated surveillance systems that provide support for making decisions are promising for this purpose, are likely to result in cost savings, and therefore warrant more widespread development, testing, and implementation.
Notice to CE enrollees:A closed-book, multiple-choice examination following this article tests your understanding of the following objectives:- Recognize that barrier precautions are important in preventing transmission of infections due to multidrug-resistant organisms.
- Understand that staff members adherence to national recommendations on isolation precautions appears to be inadequate.
- Describe how automated surveillance systems are promising for ongoing surveillance of isolation precautions.
To read this article and take the CE test online, visit www.ajcconline.org and click "CE Articles in This Issue." No CE test fee for AACN members.
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Although much progress has been made to control preventable infectious diseases, infections remain a major cause of morbidity and mortality. Many of the traditional treatments for common infections are no longer effective because of the fast-growing problem of antimicrobial resistance, first associated with hospitals but increasingly widespread in the community. Antimicrobial resistance is now a global problem of major concern, and experts have urged governments to "take the growing threat of drug-resistant bacteria just as seriously as . . . the threat of bioterrorism."1 Since the 1990s, antibiotic resistance has increased 1% to 47% in 7 of 9 of the most common microorganisms that cause infections associated with health care.1,2
Many researchers have examined the effectiveness of specific interventions to prevent and control infection, such as isolation precautions and routine surveillance for resistance, and much is known about which prevention strategies are efficacious. On the basis of this research, the Healthcare Infection Control Advisory Committee (HICPAC) of the Centers for Disease Control and Prevention (CDC) recently updated its guidelines for isolation precautions1,3 and added specific recommendations for the management of multidrug-resistant organisms (MDROs) in health care settings.4 However, the extent to which these recommendations are implemented nationally is unclear.
Furthermore, although the recommendations are based on studies with high internal validity, the effectiveness of these interventions in clinical practice (ie, external validity) is unknown. Unfortunately, no cost-effective system is currently widely available to monitor either the processes (ie, implementation of the recommendations) or the outcomes (ie, rates of infection) of these HICPAC guideline recommendations. Because many infecting and colonizing organisms in critically ill patients are now resistant to multiple drugs and necessitate contact precautions, our purposes in this article are (1) to review evidence of the effectiveness of isolation precautions for preventing transmission of MDRO infections in acute care settings, with methicillin-resistant Staphylococcus aureus (MRSA) as an example, and (2) to describe methods of monitoring adherence to the CDC guidelines on contact precautions for MDROs.
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Health Care–Associated MRSA
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Since the first isolates of MRSA were identified in the United Kingdom in 1961, MRSA has been a primary cause of health care–associated infections throughout Europe, Asia, Australia, and the United States.5,6 The prevalence of MRSA colonization and infection in US hospitals has increased markedly, both as a proportion of the total number of infections involving S aureus and in absolute terms, with the most dramatic increases occurring since the 1990s.5 In 1980, fewer than 5% of S aureus infections involved methicillin-resistant organisms; the proportion increased to 20% by 1990, 28% by 1995, and 40% by 1999.7 More recent data indicate that MRSA accounts for 49.9% to 63.0% of inpatient S aureus infections in the United States, with variations according to geographic region.8 According to the CDC (http://www.cdc.gov), the highest rates of MRSA infections occur in intensive care units (ICUs) of all types, where the proportion of health care–associated staphylococcal infections resistant to oxacillin or methicillin reached 65% by 2004.
| Of all invasive MRSA infections, 85% are associated with health care settings.
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Approximately 70% of hospital isolates of S aureus are now resistant to β-lactam antibiotics, which until recently were the first line of treatment.9 Additionally, 85% of all invasive MRSA infections are associated with health care settings.10 MRSA has been implicated in a variety of infection types and body sites, most notably pneumonia, skin and soft-tissue infections, surgical site infections, and bloodstream infections.11 Invasive interventions and devices such as endotracheal and tracheostomy tubes and intravenous catheters promote MRSA infection because the bacteria grow readily in biofilms, which build around these devices. Additional risk factors for health care–associated MRSA infection include previous use of antibiotics, increased age, hospital admission within the previous 6 months, chronic hemodialysis, chronic skin breaks, and cancers of the head and neck.11–14
Infections with antimicrobial-resistant organisms are estimated to cost $6000 to $30 000 more than infections associated with antibiotic-sensitive strains.15 In 2006, the Infectious Diseases Society of America published a "hit list" of 6 resistant organisms that pose a particular threat to public health, the first of which was MRSA.16 Because of its public health importance, its high prevalence in all types of health care facilities, and the similarity of its modes of transmission to those of many other MDROs, MRSA is an ideal indicator organism for assessing compliance with isolation precautions. Further, the mode of transmission of MRSA and many other MDROs is most commonly by direct or indirect contact, so data from MRSA would be generalizable to other MDROs.
| Antimicrobial-resistant infections are estimated to cost $6000 to $30 000 more than are those associated with antibiotic-sensitive strains.
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CDC Guidelines
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The CDCs first published manual of evidence-based guidelines for the prevention of infection, Guidelines for the Prevention and Control of Nosocomial Infections,17 was published in 1981. Currently, CDC infection control guidelines are developed by HICPAC, Division of Healthcare Quality Promotion of the National Center for Infectious Diseases. Between 1996 and 2007, a total of 8 guidelines were published on topics such as prevention of intravascular-related infections, surgical site infections, and ventilator-associated pneumonia; isolation precautions; infection control in health care personnel; and environmental infection control. The 2 most recent HICPAC guidelines, Management of Multidrug-Resistant Organisms in Healthcare Settings, 20064 and 2007 Guideline for Isolation Precautions: Preventing Transmission of Infectious Agents in Healthcare Settings3 are the latest revisions of guidelines that provide specific practice recommendations for preventing transmission of infection. Each guideline has 4 levels of recommendation: IA (strongly recommended on the basis of well-designed studies), IB (strongly recommended on the basis of some studies and strong theoretical rationale), II (suggested for implementation and supported by suggestive studies or theoretical rationale), and no recommendation (practices with insufficient evidence or lack of consensus). These guidelines are widely accepted as the standard of care for infection prevention and control.
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Efficacy of Isolation Precautions
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Because several terms for isolation precautions have been used over the years, confusion among health care personnel about the components of various types of isolation is likely. In addition, several terms are used interchangeably or are subsets of other terms. Commonly used terms are summarized and defined in Table 1
. Although the CDC has recommended the use of standard and/or contact precautions for epidemiologically important MDROs such as MRSA since 1996, no clinical trials have directly compared the efficacy of standard vs contact precautions for control of MRSA infection. Hence, the current recommendations on isolation are ranked as category IB, indicating that they are based on strong theoretical rationale and some studies.
The current guideline cites multiple case reports and evidence from several European countries in which preemptive barrier precautions and/or active surveillance (a "search and destroy" approach) are routinely used and MRSA is still rare, indicating a temporal relationship between precautions and prevention of MRSA infection. As summarized in the 2006 MDRO guideline, however, debate is ongoing about the efficacy of standard or contact precautions for control of MRSA infection, and other organizations have published additional guidelines. Most important of these is a guideline18 published in 2003 by the Society of Healthcare Epidemiology of America that emphasizes contact precautions as well as routine use of active surveillance cultures. The slight variations in recommendations between guidelines indicate that the evidence is still equivocal.19 Nevertheless, the important features of these various guidelines are generally consistent.20
The literature on MDROs is vast. In a recently published systematic review of studies designed to assess the effectiveness of barrier precautions to reduce transmission of MDROs,21 the term multiple drug resistance yielded 10 736 articles. When search terms were combined, 250 reports of research related to the role of barrier precautions in preventing transmission of MDROs were found. When outbreak investigations were excluded, in only 29 studies was an attempt made to assess the effectiveness of barrier precautions. Seven of these studies were judged to be of high quality (on the basis of type of design, control for bias and confounding, sufficient sample size, etc), and in all of these studies, multiple control interventions in addition to isolation precautions were used. In 12 studies with lower quality scores, some type of isolation was evaluated; in 11 of the 12, use of isolation precautions was associated with a statistically significant decrease in MDRO colonization and/or infection rate.
Therefore, studies are generally positive about the effect of isolation on transmission of MDROs, but are often methodologically flawed, conducted at a single site, and subject to multiple biases.22,23 Although it would be desirable to conduct randomized clinical trials with interdisciplinary teams of experts to strengthen the causal evidence on which practice guidelines are based, such trials may not be feasible because of the current emphasis on "care bundling" (ie, using multiple strategies such as recommended by the Institute for Healthcare Improvement, http://www.ihi.org/ihi), the multifactorial nature of health care–associated infections, and the logistical and ethical challenges of applying traditional randomized clinical trial methods to this clinical problem.24
Several assessments of the relationship between isolation precautions and rates of infection with MRSA or other MDROs have been published since 2006. After an outbreak of MRSA infection in a burn unit, preemptive barrier precautions (gown and gloves) were initiated for all patients in the unit and results were studied for 27 months. The ratio of the rate of infection with MRSA during the barrier precaution period to the rate during the baseline period (before the outbreak) was 0.48 (95% confidence interval, 0.14–1.53; P = .10).25 Using a before-and-after quasi-experimental design, Mangini et al26 examined the effect of contact precautions on the incidence of MRSA in a community hospital. The combined rate in the medical and surgical ICUs was 10.0 MRSA infections per 1000 patient days at baseline and 2.5 MRSA infections per 1000 patient days after implementation of contact precautions (P = .43). In non-ICU areas, the rates before and after were 1.3 and 0.9 MRSA infections per 1000 patient days, respectively (P = .02).
| The most important adverse effects of isolation precautions are a decrease in the care and well-being of patients and increased costs.
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Finally, Bearman et al27 conducted a controlled trial in a medical ICU. For 3 months, patients were placed in contact precautions in accordance with CDC guidelines; in the following 3 months, no patients were placed in contact precautions, but staff members were required to wear gloves for all contacts with patients. Compliance with the protocols was measured and was reported to be greater than 75%, but the rates of infection with MRSA or vancomycin-resistant enterococci did not differ significantly between the 2 phases. These 3 studies25–27 had the same design limitations as the studies in the previous systematic review,21 including small sample sizes, single settings, and lack of control for potential biases and confounding. Nevertheless, the strong theoretical rationale and consistent suggestive study findings indicate that barrier precautions as recommended in the MDRO guideline are likely to reduce transmission of MRSA infection.
| The process of measuring compliance with CDC guidelines results in a loss of accuracy; that is, behavior changes as a result of being monitored.
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Adverse Effects of Isolation Precautions
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Negative effects of isolation precautions are also well documented. The 2 most important effects are the adverse effect on the care and well-being of patients and increased costs. Patients on isolation precautions may be examined less often by their care providers,28 receive less care,29 be more likely to become depressed or anxious,30 and, most importantly, have more preventable adverse events than do patients who are not isolated.29 In a recent survey,31 isolated patients were significantly less likely than nonisolated patients to report that nurses explained things in a way that they understood (P = .007).
Herr et al32 calculated the cost per case of MRSA infection for isolation precautions in year 2000 euros to be
1179.70 (approximately US$1734, Table 2
). West et al33 calculated in 2002 US dollars that the cost just for equipment used for contact precautions for MRSA infection in a community hospital system was $101.76 per patient, and a Canadian group reported that the costs of nursing time and supplies for contact precautions were approximately $61 Canadian daily (approximately US$57).34 These costs are most likely underestimates because they exclude costs of a private room and may not account for the myriad changes in work processes that occur to accommodate precautions.
Such untoward effects clearly indicate that contact precautions should be used only for the appropriate amount of time; that is, until the patient is no longer a risk for transmission and cultures are negative for MRSA. Unfortunately, the appropriate duration of contact precautions remains an unresolved issue in the latest CDC/HICPAC MDRO guideline because of conflicting evidence on when it is "safe" to discontinue precautions.4 Some investigators35 have found that no growth of the resistant organisms on consecutive cultures is a reliable criterion for discontinuing isolation in certain MDRO infections, but others36 have reported that colonization with MRSA can be prolonged and recurrent, even after treatment.
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Compliance With CDC Guidelines
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Although the Institute of Medicine, Agency for Healthcare Research and Quality, and other agencies have published criteria for guideline development and quality, little information or guidance is available for monitoring adherence to or assessing the clinical impact of guidelines. For example, the Institute of Medicine text on clinical practice guidelines37 does not discuss monitoring, and devotes only 3 pages to assessment of impact. Similarly, in 1996, the CDC published a document38 on improving the quality of guidelines. Even though this document described in detail the entire development process, including assessing needs, defining the scope and framework of the guideline, coordinating the review and preparation process, and updating, no guidance was provided on how to monitor compliance, and only 2 of 185 pages were devoted to assessment of impact. Unfortunately, the recommendations in this document were not implemented, and no standard mechanism exists for evaluating the impact of the CDC (or any other) guidelines.
A major challenge in assessing the impact of guidelines is measuring compliance accurately. The CDC guidelines are widely and rapidly disseminated,39,40 but awareness and dissemination of a guideline are not necessarily followed by adherence.40–42 The CDC recommendations are based on the best available scientific evidence, but field trials are essential to differentiate between efficacy based on high internal validity within controlled trials and effectiveness, which is a result of the extent to which a practice is actually implemented. Unfortunately, compliance is often difficult and costly to measure, and the process of measurement itself results in loss of accuracy; that is, behavior changes as a result of being monitored. Among the efficacy studies we reviewed, only 40% reported monitoring compliance of the intervention being studied. Among the studies in which the intervention was monitored, the compliance rate was 80% or greater in only 16.6%, emphasizing again the challenge of determining the effectiveness of interventions in actual clinical settings. The primary ways to measure compliance with the CDC hand hygiene guideline,43 summarized in Table 3
, are relevant for the measurement of compliance with isolation precautions as well.
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Table 3 Methods of measuring compliance with recommendations of the Centers for Disease Control and Prevention for isolation precautionsa
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For 13 weeks on 4 clinical units, Eveillard et al44 indirectly evaluated compliance with barrier precautions by checking patients rooms to confirm the presence of equipment needed (gowns, gloves). They then compared the rate at which appropriate precautions were available with the rate at which precautions were documented in the patients records. The use of precautions was documented 3 to 4 times more often than the appropriate equipment was actually available (P < .001), evidence that the information recorded on patients charts did not reflect actual practice. Similarly, twice monthly for 14 months, infection control staff prospectively assessed isolation precautions in a Canadian tertiary care pediatric hospital.45 A total of 623 of 3636 hospitalized patients (17%) were isolated, but primarily for community-acquired infections; 77 of the 623 isolations (12.4%) were for MDRO infections. Although the authors45 reported that 74.6% of patients were isolated appropriately, they primarily assessed the presence of signs and equipment but did not observe actual practice.
In a study conducted in a 900-bed teaching community hospital, Manian and Ponzillo46 reported that an infectious disease physician and an ICU pharmacist made 1548 observations that involved 2110 persons entering the room of a patient in isolation. This number included 1504 staff members and 606 visitors. Overall, almost three-fourths (1542 of 2110, 73%) complied with use of gowns, including 67% (119 of 177) of physicians and 78% (914 of 1178) of nurses. In regression analyses, independent predictors of gown compliance among staff were female sex and ICU setting, and using a gown was predictive of using gloves in the ICUs. Staff members were reportedly unaware that they were being observed. Finally, using infection control staff to conduct observational surveys, Weber et al47 examined compliance with several aspects of isolation precautions, including whether the correct type of isolation precautions was initiated and whether personal protective equipment was being used correctly by both employees and visitors. In 165 observations, the overall compliance rate for contact precautions was 72.7%.
In these studies,46,47 direct observation of either practices or available equipment was used to assess compliance. Although such methods are useful for research purposes, they are also labor intensive, subject to variations in interpretation (ie, potentially poor interrater reliability), and most likely are not sustainable or generalizable in actual clinical practice.
| Leading professional associations have recommended automated systems to track and target resistance and interventions.
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Standard Methods of Surveillance
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Since the classic study of the efficacy of nosocomial infection control in the 1970s,48 surveillance has been recognized as an essential component of any effective program for prevention and control of infection. In fact, a large proportion of infection control professionals time is spent in surveillance activities.49 The standard surveillance methods for MRSA vary considerably across acute care settings.50,51 Generally, data on organisms of interest are gathered manually by infection control professionals from culture reports generated by the clinical microbiology laboratory either in paper or electronic format. A listing of cultures positive for MRSA is often used as the primary data source, as well as rounds on the clinical units and/or reviews of patients charts.
Little support for decisions is provided, so the infection control professional must then determine what action to take, with whom to take action, and what to communicate. Once the potential cases of MRSA infections are identified, the infection control professional often reviews the patients medical record and speaks with the clinical personnel in the unit to gather additional information and evidence and to make a recommendation about the patients placement. Because of the growing number of resistant organisms and the lack of resources, surveillance activities are usually targeted to high-risk areas such as ICUs or to specific organisms.
In the traditional system, isolation precautions are usually ordered by a clinician or an infection control professional on the basis of institutional protocols. Similarly, communication of a patients qualification for removal from isolation is often made verbally via telephone or during rounds on the patient care units, and decisions about when to discontinue isolation are often made on a case-by-case basis. Manual methods of collecting data such as clinical rounds and review of microbiological and pharmacy reports are time and labor intensive and subject to considerable interobserver variability, even with increasingly clear and consistent definitions provided by the National Health and Safety Network (formerly the National Nosocomial Infections Surveillance system).52–54 Further, with traditional manual methods of data collection, databases for rapid detection of MDRO infections cannot be linked to assessment of patients risk factors and severity of illness.
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Automated Surveillance Systems
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Since the 1980s, the potential for information linking and analysis has become more realistic, and automated systems offer the potential for monitoring and intervening much earlier than would be possible with manual data collection.49,55 Despite the potential of automated systems for rapid data linking and dissemination,56 and the fact that more than 90% of acute and long-term care facilities report having systems to track infections,57 the current status of surveillance systems to track health care–associated infections is not well described. It appears, however, that most surveillance is still manual.49 "Homegrown" automated systems developed within individual facilities have been reported,55,58–60 but few descriptions of their actual use for supporting clinical decisions have been published. Despite initial costs of system development, automated systems in the long run are projected to be cost saving.61,62
Several proprietary systems for monitoring infection control processes are available, and a few have undergone some field testing. These proprietary systems as well as locally developed systems have been used primarily for monitoring rates of health care–associated infection and patterns of antimicrobial use63–65; a few have been used to generate clinical alerts, primarily to improve prescribing of antibiotics.66–70 In general, studies of these systems have reported more appropriate and judicious use of antimicrobial agents. For example, a computer-assisted antimicrobial management program developed by Intermountain Health Care (a group long known for its innovative and groundbreaking use of technology in health care) has been associated with reductions in antibiotic use, related adverse events, and costs.71–79
To our knowledge, a link between automated surveillance systems and reductions in resistance rates has not yet been reported.80 This finding is not surprising because patterns of antibiotic use, once established in an institution, will most likely be slow to change. Nevertheless, leading professional associations (Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America) have recommended automated systems to enhance tracking and targeting of resistance and interventions.81
Despite their promise, however, automated systems for supporting decisions for clinical practices such as isolation precautions have not yet been widely implemented and disseminated. Only 13% of 150 infection control professionals in a 2007 survey82 reported that they use such technology. The failure to adopt automated technologies has been associated with organizational factors such as type of health care system and institution size and location. Larger systems and for-profit hospitals are more likely to adopt automated systems, and such systems have been associated with more positive operating revenue.83–85
Although automated alerts to control MDRO infections have been suggested since the 1990s, only a few investigators have assessed the results of such applications. Pittet et al86 used computer-generated reports to alert infection control staff when a patient with an MRSA infection was admitted. The infection control staff then contacted the patients physician. Although this intervention was associated with a reduction in the time to obtain follow-up cultures and an increase in the proportion of patients with an MRSA infection identified at admission, it was resource intensive and time consuming.86 In a systematic literature review of randomized and nonrandomized controlled trials to evaluate the effects of computerized clinical decision support systems, Garg et al87 found positive changes in provider behavior in 16 of 21 studies (76%) in which use of reminder systems was examined. Improved performance was associated with systems that use automatic prompts rather than prompts that require user activation; 73% of trials with automatic prompts were successful vs 47% of trials with prompts that required user activation (P = .02).
A French research team used an informational flyer that was attached to each microbiology report of a culture positive for MRSA.88 Adherence to isolation precautions was assessed by observation for 3 months before and after implementation of the flyer. Observers were not blinded to the study aims, and no information was provided about interobserver reliability. A total of 89 patients with MRSA infection were observed during the control period, and 76 were observed during the intervention period. The presence of the appropriate signage, use of gowns and dedicated materials, and proportion of patients infected with MRSA assigned to private rooms all increased significantly (all P < .04) during the implementation period.88
In another French study in a 750-bed teaching hospital, Kac et al89 investigated use of an electronic system to alert staff members about the need for isolation precautions among patients infected with MDROs. When alerts were sent to members of the infection control team, who then ordered isolation precautions on electronic nursing records, awareness of the MDRO status among the nursing staff increased from 24.0% at baseline to 93.1% after 1 year. Implementation of isolation precautions increased from 15.0% at baseline to 90.2% after 1 year. Significant improvements were sustained over the several years of the study. Kho and colleagues65,90,91 developed and tested a computerized physician reminder for contact precautions for patients infected with MDROs and reported an increase in the proportion of eligible patients isolated, from 33% to 89% from before to after the intervention (P < .001), but no changes in rates of infection. The same research team created a citywide electronic network to track and respond in a standardized way to patients admitted with a history of infection with MRSA or vancomycin-resistant enterococci.65
| The potential for information linking and analysis has become more realistic, and automated systems offer the potential for much earlier intervention.
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Essential Elements of Surveillance Systems
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Many of the systems to date have been promising, but have lacked some important features. In order to improve clinical practice, an automated surveillance system must have a number of characteristics. It must (1) have the capability to prospectively retrieve and link data elements from a variety of relevant sources; (2) be highly sensitive, specific, and precise; (3) account for patient confidentiality; (4) be user friendly with intuitive alerts and data retrieval interfaces; (5) provide information for clinical decision making at the point of use and in real time; (6) be generalizable, accessible, and reproducible across health care systems; (7) include clinical indications (in addition to cases identified only through laboratory cultures); (8) be customizable for the changing needs of institutional and regulatory reporting requirements; (9) provide features for use by clinicians and members of the patient care team in addition to infection control professionals; and (10) be cost-effective. Development of such systems is expensive, and the systems would be cost-effective only if they were associated with improved monitoring and adherence to infection prevention practices and, as a result, a reduction in the costs of health care–associated infections. The need is therefore great for additional research on the costs of automated systems and an objective analysis of cost-benefit issues for programs such as those described in Table 4
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FINANCIAL DISCLOSURES
None reported.
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SEE ALSO
For more about multidrug-resistant pathogens, visit the Critical Care Nurse Web site, www.ccnonline.org, and read the article by Montefour and colleagues, "Acinetobacter baumannii: An Emerging Multidrug-Resistant Pathogen in Critical Care" (February 2008).
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REFERENCES
|
|---|
- Nelson R. Antibiotic development pipeline runs dry. Lancet. 2003;362(9397):1726–1727.[CrossRef][Medline]
- National Nosocomial Infections Surveillance. National Nosocomial Infections Surveillance (NNIS) System Report, data summary from January 1992 through June 2004, issued October 2004. Am J Infect Control. 2004;32(8):470–485.[CrossRef][Medline]
- Siegel JD, Rhinehart E, Jackson LR, Chiarello L, Health Care Infection Control Practices Advisory Committee. 2007 Guideline for isolation precautions: preventing transmission of infectious agents in healthcare settings. Am J Infect Control. 2007;35(10 suppl 2):S65–S164. (Also available at http://www.cdc.gov/ncidod/dhqp/gl_isolation.html. Accessed December 9, 2008.)[Medline]
- Siegel JD, Rhinehart E, Jackson M, Chiarello L. Management of multidrug-resistant organisms in healthcare settings, 2006. Am J Infect Control. 2007;35(10 suppl 2):S165–S193. (Also available at http://www.cdc.gov/ncidod/dhqp/pdf/ar/MDROGuideline2006.pdf. Accessed December 9, 2008.)[CrossRef][Medline]
- Boyce JM, Cookson B, Christiansen K, et al. Methicillin-resistant Staphylococcus aureus. Lancet Infect Dis. 2005; 5:653–663.[CrossRef][Medline]
- Jarvis WR, Schlosser J, Chinn RY, Tweeten S, Jackson M. National prevalence of methicillin-resistant Staphylococcus aureus in inpatients at US health care facilities, 2006. Am J Infect Control. 2007;35(10):631–637.[CrossRef][Medline]
- Chambers HF. The changing epidemiology of Staphylococcus aureus? Emerg Infect Dis. 2001;7(2):178–182.[Medline]
- Styers D, Sheehan DJ, Hogan P, Sahm DF. Laboratory-based surveillance of current antimicrobial resistance patterns and trends among Staphylococcus aureus: 2005 status in the United States. Ann Clin Microbiol Antimicrob. 2006;5:2.[CrossRef][Medline]
- McCarthy J. Tackling the challenges of interdisciplinary bioscience. Nat Rev Mol Cell Biol. 2004;5(11):933–937.[CrossRef][Medline]
- Klevens RM, Morrison MA, Nadle J, et al. Invasive methicillin-resistant Staphylococcus aureus infections in the United States. JAMA. 2007;298(15):1763–1771.[Abstract/Free Full Text]
- Shorr AF. Epidemiology of staphylococcal resistance. Clin Infect Dis. 2007;45(suppl 3):S171–S176.[CrossRef][Medline]
- Edmiston CE Jr, Goheen MP, Seabrook GR, et al. Impact of selective antimicrobial agents on staphylococcal adherence to biomedical devices. Am J Surg. 2006;192(3):344–354.[CrossRef][Medline]
- Pillar CM, Draghi DC, Sheehan DJ, Sahm DF. Prevalence of multidrug-resistant, methicillin-resistant Staphylococcus aureus in the United States: findings of the stratified analysis of the 2004 to 2005 LEADER Surveillance Programs. Diagn Microbiol Infect Dis. 2008;60(2):221–224.[CrossRef][Medline]
- Hadley AC, Karchmer TB, Russell GB, McBride DG, Freedman BI. The prevalence of resistant bacterial colonization in chronic hemodialysis patients. Am J Nephrol. 2007;27(4):352–359.[CrossRef][Medline]
- Cosgrove SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis. 2006;42(suppl 2): S82–S89.[CrossRef][Medline]
- Talbot GH, Bradley J, Edwards JE Jr, Gilbert D, Scheld M, Bartlett JG. Bad bugs need drugs: an update on the development pipeline from the Antimicrobial Availability Task Force of the Infectious Diseases Society of America. Clin Infect Dis. 2006;42(5):657–668.[CrossRef][Medline]
- Centers for Disease Control. Guidelines for the Prevention and Control of Nosocomial Infections. Atlanta, GA: Centers for Disease Control; 1981.
- Muto CA, Jernigan JA, Ostrowsky BE, et al. SHEA guideline for preventing nosocomial transmission of multidrug-resistant strains of Staphylococcus aureus and enterococcus. Infect Control Hosp Epidemiol. 2003;24(5):362–386.[CrossRef][Medline]
- Farr BM, Bellingan G. Pro/con clinical debate: isolation precautions for all intensive care unit patients with methicillin-resistant Staphylococcus aureus colonization are essential. Crit Care. 2004;8(3):153–156.[CrossRef][Medline]
- Strausbaugh LJ, Siegel JD, Weinstein RA. Preventing transmission of multidrug-resistant bacteria in health care settings: a tale of two guidelines. Clin Infect Dis. 2006;42(6):828–835.[CrossRef][Medline]
- Aboelela SW, Saiman L, Stone P, Lowy FD, Quiros D, Larson E. Effectiveness of barrier precautions and surveillance cultures to control transmission of multidrug-resistant organisms: a systematic review of the literature. Am J Infect Control. 2006;34(8):484–494.[CrossRef][Medline]
- Henderson DK. Managing methicillin-resistant staphylococci: a paradigm for preventing nosocomial transmission of resistant organisms. Am J Med. 2006;119(6 suppl 1):S45–S52, S62–S70.[CrossRef][Medline]
- Harris AD, McGregor JC, Furuno JP. What infection control interventions should be undertaken to control multidrug-resistant gram-negative bacteria? Clin Infect Dis. 2006; 43(suppl 2):S57–S61.[CrossRef][Medline]
- Aboelela SW, Stone PW, Larson EL. Effectiveness of bundled behavioural interventions to control healthcare-associated infections: a systematic review of the literature. J Hosp Infect. 2007;66(2):101–108.[CrossRef][Medline]
- Safdar N, Marx J, Meyer NA, Maki DG. Effectiveness of preemptive barrier precautions in controlling nosocomial colonization and infection by methicillin-resistant Staphylococcus aureus in a burn unit. Am J Infect Control. 2006; 34(8):476–483.[CrossRef][Medline]
- Mangini E, Segal-Maurer S, Burns J, et al. Impact of contact and droplet precautions on the incidence of hospital-acquired methicillin-resistant Staphylococcus aureus infection. Infect Control Hosp Epidemiol. 2007;28(11):1261–1266.[CrossRef][Medline]
- Bearman GM, Marra AR, Sessler CN, et al. A controlled trial of universal gloving versus contact precautions for preventing the transmission of multidrug-resistant organisms. Am J Infect Control. 2007;35(10):650–655.[CrossRef][Medline]
- Saint S, Higgins LA, Nallamothu BK, Chenoweth C. Do physicians examine patients in contact isolation less frequently? A brief report. Am J Infect Control. 2003;31(6):354–356.[CrossRef][Medline]
- Stelfox HT, Bates DW, Redelmeier DA. Safety of patients isolated for infection control. JAMA. 2003;290(14):1899–1905.[Abstract/Free Full Text]
- Catalano G, Houston SH, Catalano MC, et al. Anxiety and depression in hospitalized patients in resistant organism isolation. South Med J. 2003;96(2):141–145.[CrossRef][Medline]
- Gasink LB, Singer K, Fishman NO, et al. Contact isolation for infection control in hospitalized patients: is patient satisfaction affected? Infect Control Hosp Epidemiol. 2008; 29(3):275–278.[CrossRef][Medline]
- Herr CE, Heckrodt TH, Hofmann FA, Schnettler R, Eikmann TF. Additional costs for preventing the spread of methicillin-resistant Staphylococcus aureus and a strategy for reducing these costs on a surgical ward. Infect Control Hosp Epidemiol. 2003;24(9):673–678.[CrossRef][Medline]
- West TE, Guerry C, Hiott M, Morrow N, Ward K, Salgado CD. Effect of targeted surveillance for control of methicillin-resistant Staphylococcus aureus in a community hospital system. Infect Control Hosp Epidemiol. 2006;27(3):233–238.[CrossRef][Medline]
- Conterno LO, Shymanski J, Ramotar K, et al. Real-time polymerase chain reaction detection of methicillin-resistant Staphylococcus aureus: impact on nosocomial transmission and costs. Infect Control Hosp Epidemiol. 2007;28(10): 1134–1141.[CrossRef][Medline]
- Byers KE, Anglim AM, Anneski CJ, Farr BM. Duration of colonization with vancomycin-resistant enterococcus. Infect Control Hosp Epidemiol. 2002;23(4):207–211.[CrossRef][Medline]
- Ridenour GA, Wong ES, Call MA, Climo MW. Duration of colonization with methicillin-resistant Staphylococcus aureus among patients in the intensive care unit: implications for intervention. Infect Control Hosp Epidemiol. 2006;27(3):271–278.[CrossRef][Medline]
- Field M, Lohr K. Clinical Practice Guidelines: Directions for a New Program. Washington, DC: National Academy Press; 1990.
- Epidemiology Program Office, Prevention Effectiveness Activity. CDC Guidelines: Improving the Quality. Atlanta, GA: Centers for Disease Control and Prevention; 1996.
- Celentano DD, Morlock LL, Malitz FE. Diffusion and adoption of CDC guidelines for the prevention and control of nosocomial infections in US hospitals. Infect Control. 1987;8(10): 415–423.[Medline]
- Larson EL, Quiros D, Lin SX. Dissemination of the CDCs Hand Hygiene Guideline and impact on infection rates. Am J Infect Control. 2007;35(10):666–675.[CrossRef][Medline]
- Finkelstein JA, Lozano P, Shulruff R, et al. Self-reported physician practices for children with asthma: are national guidelines followed? Pediatrics. 2000;106(4 suppl):886–896.[Abstract/Free Full Text]
- Brown JB, Shye D, McFarland BH, Nichols GA, Mullooly JP, Johnson RE. Controlled trials of CQI and academic detailing to implement a clinical practice guideline for depression. Jt Comm J Qual Improv. 2000;26(1):39–54.[Medline]
- Haas JP, Larson EL. Measurement of compliance with hand hygiene. J Hosp Infect. 2007;66(1):6–14.[CrossRef][Medline]
- Eveillard M, Grandin S, Zihoune N, et al. Evaluation of compliance with preventive barrier precautions to control methicillin-resistant Staphylococcus aureus cross-transmission in four non-intensive acute-care wards of a French teaching hospital. J Hosp Infect. 2007;65(1):81–83.[CrossRef][Medline]
- Vayalumkal JV, Streitenberger L, Wray R, et al. Survey of isolation practices at a tertiary care pediatric hospital. Am J Infect Control. 2007;35(4):207–211.[CrossRef][Medline]
- Manian FA, Ponzillo JJ. Compliance with routine use of gowns by healthcare workers (HCWs) and non-HCW visitors on entry into the rooms of patients under contact precautions. Infect Control Hosp Epidemiol. 2007;28(3):337–340.[CrossRef][Medline]
- Weber DJ, Sickbert-Bennett EE, Brown VM, et al. Compliance with isolation precautions at a university hospital. Infect Control Hosp Epidemiol. 2007;28(3):358–361.[CrossRef][Medline]
- Haley RW, Culver DH, White JW, et al. The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals. Am J Epidemiol. 1985; 121(2): 182–205.[Abstract/Free Full Text]
- Burke JP. Surveillance, reporting, automation, and interventional epidemiology. Infect Control Hosp Epidemiol. 2003; 24(1):10–12.[CrossRef][Medline]
- Weber DJ, Sickbert-Bennett EE, Brown V, Rutala WA. Comparison of hospitalwide surveillance and targeted intensive care unit surveillance of healthcare-associated infections. Infect Control Hosp Epidemiol. 2007;28(12):1361–1366.[CrossRef][Medline]
- Klevens RM, Edwards JR, Richards CL Jr, et al. Estimating health care-associated infections and deaths in US hospitals, 2002. Public Health Rep. 2007;122(2):160–166.[Medline]
- Horan TC, Emori TG. Definitions of key terms used in the NNIS System. Am J Infect Control. 1997;25(2):112–116.[CrossRef][Medline]
- Emori TG, Edwards JR, Culver DH, et al. Accuracy of reporting nosocomial infections in intensive-care-unit patients to the National Nosocomial Infections Surveillance System: a pilot study. Infect Control Hosp Epidemiol. 1998;19(5):308–316.[Medline]
- Larson E, Horan T, Cooper B, Kotilainen HR, Landry S, Terry B. Study of the definition of nosocomial infections (SDNI). Research Committee of the Association for Practitioners in Infection Control. Am J Infect Control. 1991;19(6):259–267.[CrossRef][Medline]
- Hu PJ, Zeng D, Chen H, et al. System for infectious disease information sharing and analysis: design and evaluation. IEEETrans Inf Technol Biomed. 2007;11(4):483–492.[CrossRef]
- Carpenter D. Tracking infections. Hosp Health Netw. 2006; 80(2):58–61, 1.
- OFallon E, Harper J, Shaw S, Lynfield R. Antibiotic and infection tracking in Minnesota long-term care facilities. J Am Geriatr Soc. 2007;55(8):1243–1247.[CrossRef][Medline]
- Pokorny L, Rovira A, Martin-Baranera M, Gimeno C, Alonso-Tarres C, Vilarasau J. Automatic detection of patients with nosocomial infection by a computer-based surveillance system: a validation study in a general hospital. Infect Control Hosp Epidemiol. 2006;27(5):500–503.[CrossRef][Medline]
- Buckeridge DL. Outbreak detection through automated surveillance: a review of the determinants of detection. J Biomed Inform. 2007;40(4):370–379.[CrossRef][Medline]
- Wurtz R, Cameron BJ. Electronic laboratory reporting for the infectious diseases physician and clinical microbiologist. Clin Infect Dis. 2005;40(11):1638–1643.[CrossRef][Medline]
- Anderson DJ, Kirkland KB, Kaye KS, et al. Underresourced hospital infection control and prevention programs: penny wise, pound foolish? Infect Control Hosp Epidemiol. 2007; 28(7):767–773.[CrossRef][Medline]
- Meek J, Tinney S. Computerize your infection surveillance for improved patient care—and savings. Healthc Financ Manage. 2006;60(12):108–112.[Medline]
- Steinmann J, Knaust A, Moussa A, et al. Implementation of a novel on-ward computer-assisted surveillance system for device-associated infections in an intensive care unit. Int J Hyg Environ Health. 2008;211(1–2):192–199.[CrossRef][Medline]
- Bellini C, Petignat C, Francioli P, et al. Comparison of automated strategies for surveillance of nosocomial bacteremia. Infect Control Hosp Epidemiol. 2007;28(9):1030–1035.[CrossRef][Medline]
- Kho AN, Dexter P, Lemmon L, et al. Connecting the dots: creation of an electronic regional infection control network. Stud Health Technol Inform. 2007;129(pt 1):213–217.[Medline]
- Sintchenko V, Iredell JR, Gilbert GL, Coiera E. Handheld computer-based decision support reduces patient length of stay and antibiotic prescribing in critical care. J Am Med Inform Assoc. 2005;12(4):398–402.[CrossRef][Medline]
- Sintchenko V, Coiera E, Iredell JR, Gilbert GL. Comparative impact of guidelines, clinical data, and decision support on prescribing decisions: an interactive web experiment with simulated cases. J Am Med Inform Assoc. 2004;11(1):71–77.[CrossRef][Medline]
- McGregor JC, Weekes E, Forrest GN, et al. Impact of a computerized clinical decision support system on reducing inappropriate antimicrobial use: a randomized controlled trial. J Am Med Inform Assoc. 2006;13(4):378–384.[CrossRef][Medline]
- Thursky KA, Mahemoff M. User-centered design techniques for a computerised antibiotic decision support system in an intensive care unit. Int J Med Inform. 2007;76(10):760–768.[CrossRef][Medline]
- Thursky K. Use of computerized decision support systems to improve antibiotic prescribing. Expert Rev Anti Infect Ther. 2006;4(3):491–507.[CrossRef][Medline]
- Pestotnik SL, Evans RS, Burke JP, Gardner RM, Classen DC. Therapeutic antibiotic monitoring: surveillance using a computerized expert system. Am J Med. 1990;88(1):43–48.[CrossRef][Medline]
- Larsen RA, Evans RS, Burke JP, Pestotnik SL, Gardner RM, Classen DC. Improved perioperative antibiotic use and reduced surgical wound infections through use of computer decision analysis. Infect Control Hosp Epidemiol. 1989; 10(7):316–320.[Medline]
- Evans RS, Pestotnik SL, Classen DC, Burke JP. Development of an automated antibiotic consultant. MD Comput. 1993; 10(1):17–22.[Medline]
- Evans RS, Pestotnik SL, Classen DC, et al. Development of a computerized adverse drug event monitor. Proc Annu Symp Comput Appl Med Care. 1991:23–27.
- Evans RS, Pestotnik SL, Burke JP, Gardner RM, Larsen RA, Classen DC. Reducing the duration of prophylactic antibiotic use through computer monitoring of surgical patients. DICP. 1990;24(4):351–354.[Abstract]
- Pestotnik SL, Classen DC, Evans RS, Burke JP. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes. Ann Intern Med. 1996;124(10):884–890.[Abstract/Free Full Text]
- Evans RS, Pestotnik SL, Classen DC, et al. A computer-assisted management program for antibiotics and other antiinfective agents. N Engl J Med. 1998;338(4):232–238.[Abstract/Free Full Text]
- Evans RS, Pestotnik SL, Classen DC, Burke JP. Evaluation of a computer-assisted antibiotic-dose monitor. Ann Pharmacother. 1999;33(10):1026–1031.[Abstract]
- Classen DC, Burke JP, Pestotnik SL, Lloyd JF. Clinical and financial impact of intravenous erythromycin therapy in hospitalized patients. Ann Pharmacother. 1999;33(6): 669–673.[Abstract]
- Zillich AJ, Sutherland JM, Wilson SJ, et al. Antimicrobial use control measures to prevent and control antimicrobial resistance in US hospitals. Infect Control Hosp Epidemiol. 2006;27(10):1088–1095.[CrossRef][Medline]
- Dellit TH, Owens RC, McGowan JE Jr, et al. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007;44(2):159–177.[CrossRef][Medline]
- Peterson D. Automating infection surveillance efforts: accurate outbreak data can cut costs, antibiotics use. Mater Manag Health Care. 2007;16(4):17–19.[Medline]
- Kazley AS, Ozcan YA. Organizational and environmental determinants of hospital EMR adoption: a national study. J Med Syst. 2007;31(5):375–384.[CrossRef][Medline]
- Wang BB, Wan TT, Burke DE, Bazzoli GJ, Lin BY. Factors influencing health information system adoption in American hospitals. Health Care Manage Rev. 2005;30(1):44–51.[Medline]
- Burke DE, Wang BB, Wan TT, Diana ML. Exploring hospitals adoption of information technology. J Med Syst. 2002; 26(4):349–355.[CrossRef][Medline]
- Pittet D, Safran E, Harbarth S, et al. Automatic alerts for methicillin-resistant Staphylococcus aureus surveillance and control: role of a hospital information system. Infect Control Hosp Epidemiol. 1996;17(8):496–502.[Medline]
- Garg AX, Adhikari NK, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223–1238.[Abstract/Free Full Text]
- Robert J, Renard L, Grenet K, et al. Implementation of isolation precautions: role of a targeted information flyer. J Hosp Infect. 2006;62(2):163–165.[CrossRef][Medline]
- Kac G, Grohs P, Durieux P, et al. Impact of electronic alerts on isolation precautions for patients with multidrug-resistant bacteria. Arch Intern Med. 2007;167(19):2086–2090.[Abstract/Free Full Text]
- Kho AN, Dexter PR, Warvel JS, et al. An effective computerized reminder for contact isolation of patients colonized or infected with resistant organisms. Int J Med Inform. 2008; 77(3):194–198.[CrossRef][Medline]
- Kho A, Dexter P, Warvel J, Commiskey M, Wilson S, McDonald CJ. Computerized reminders to improve isolation rates of patients with drug-resistant infections: design and preliminary results. AMIA Annu Symp Proc. 2005:390–394.
- Brossette SE, Hacek DM, Gavin PJ, et al. A laboratory-based, hospital-wide, electronic marker for nosocomial infection: the future of infection control surveillance? Am J Clin Pathol. 2006;125(1):34–39.[Abstract/Free Full Text]
- Wright MO, Perencevich EN, Novak C, Hebden JN, Standiford HC, Harris AD. Preliminary assessment of an automated surveillance system for infection control. Infect Control Hosp Epidemiol. 2004;25:325–332.[CrossRef][Medline]
- Gundlapalli AV, Olson J, Smith SP, et al. Hospital electronic medical record-based public health surveillance system deployed during the 2002 Winter Olympic Games. Am J Infect Control. 2007;35(3):163–167.[CrossRef][Medline]