Cost Analysis of a Hand Hygiene Improvement Strategy in Long-Term Care Facilities.

OBJECTIVES: To evaluate whether the costs of a successful tailored multifaceted strategy to improve hand hygiene compliance outweighed the savings by reducing infection costs in Dutch long-term care facilities (LTCFs). DESIGN: A retrospective cost analysis alongside a stepped-wedge cluster-randomized controlled trial. SETTING AND PARTICIPANTS: The study included 14 LTCFs (23 wards) in the Netherlands. METHODS: The cost analysis was based on the costs of the intervention vs the savings from avoided infections and associated treatment costs. Infection-related costs of the "usual-care" period were compared with the combined infection-related costs and intervention costs from the "intervention" period and the costs in the "post-intervention period." Multilevel analyses, with a linear model with periods as fixed effects, random effects for cluster LTCFs, and fixed effects for each step, were completed. RESULTS: There are no significant differences in total costs considering the 3 periods. When adjusting for time and clustering, the mean infection-related costs per week per LTCF for all the infections combined were highest during "usual-care" before the hand hygiene intervention was performed, namely 680 euros per week. Assuming the effect of the improvement strategy would be present for 12 months, the costs per week in the "intervention" and "post-intervention" periods were 627 euros (95% CI, 383-871) and 731 euros (95% CI, 508-954), respectively. Assuming the effect of the improvement strategy will last longer than 1 year (ie, 18 and 24 months), the average cost for the "intervention period" and the "post-intervention" period decreased to 615 euros and 719 euros during the intervention and 609 euros and 715 euros after the intervention, respectively. CONCLUSIONS AND IMPLICATIONS: Our multifaceted hand hygiene improvement strategy achieves cost savings. The results of our study are the first of an economic analysis of a hand hygiene improvement strategy in LTCFs. The results need to be confirmed by further economic evaluations.

Effect and Process Evaluation of an Intervention to Improve Hand Hygiene Compliance in Long-Term Care Facilities.

OBJECTIVES: This study evaluated the effect of a tailored, multifaceted improvement strategy on hand hygiene compliance in long-term care facilities (LTCFs). We also performed a process evaluation to explore the mechanisms through which our strategy brought about change. DESIGN: We conducted a stepped-wedge cluster-randomized controlled trial with a sequential rollout of the improvement strategy to all participating LTCFs. The strategy consisted of education, training, reminders, observation sessions (including feedback), and team meetings (including feedback). SETTING AND PARTICIPANTS: The study included nursing professionals from 14 LTCFs (23 wards) in the Netherlands. METHODS: Hand hygiene compliance was observed during 5 measurement periods using WHO's "Five Moments for Hand Hygiene." Multilevel analyses and corresponding tests were completed on an intention-to-treat basis. RESULTS: The absolute intervention effect of overall hand hygiene compliance (primary outcome measure) was 13% (95% CI 9.3-16.7, P < .001), adjusted for time and clustering. The adjusted absolute effect was 23% (95% CI 7-39, P < .002) before a clean and aseptic procedure, 18% (95% CI 10-26, P < .001) after touching a resident, 14% (95% CI 7-22, P < .003) before touching a resident, 10% (95% CI 5-15, P < .001) after contact with body fluid, and 1% (95% CI -11 to 13, P = .8) after touching a resident's surroundings. With the exception of leadership, participants at LTCFs with more exposure to the intervention components showed statistically significantly more improvement than those at facilities with lower exposure scores. CONCLUSIONS AND IMPLICATIONS: Our strategy was successful in improving hand hygiene compliance. LTCFs with more team members exposed to the different intervention components, demonstrated a greater effect from the intervention. To strengthen the impact of our intervention, we recommend that future improvement strategies provide more support to managers to ensure they are better equipped to take on their leadership roles and enable their teams to improve and maintain hand hygiene compliance.

Description of a nationwide structure for monitoring nosocomial outbreaks of (highly resistant) microorganisms in the Netherlands: characteristics of outbreaks in 2012-2021.

BACKGROUND: Before 2012, established national surveillance systems in the Netherlands were not able to provide a timely, comprehensive epidemiological view on nosocomial outbreaks. The Healthcare-associated Infections and AntiMicrobial Resistance Monitoring Group (SO-ZI/AMR) was initiated in 2012 for timely national nosocomial outbreak monitoring and risk assessment. This paper aims to describe the achievements of the SO-ZI/AMR by presenting characteristics of outbreaks reported in 2012-2021. METHODS: Hospitals and, since 2015, long-term care facilities (LTCF) were requested to report outbreaks when (1) continuity of care was threatened, or (2) transmission continued despite control measures. A multi-disciplinary expert panel (re-)assessed the public health risk of outbreaks during monthly meetings, using 5 severity phases and based on data collected via standardised questionnaires. We descriptively studied the panel's consensus-based severity classification, distribution of (highly resistant) microorganisms, and duration and size of outbreaks between April 2012 and December 2021. RESULTS: In total, 353 hospital outbreaks and 110 LTCF outbreaks were reported. Most outbreaks (hospitals: n = 309 (88%), LTCF: n = 103 (94%)) did not progress beyond phase 1 (no public health implications, outbreak expected to be controlled within two months), one hospital outbreak reached phase 4 (insufficient/ineffective response: possible public health threat, support offered). Highly resistant microorganisms (HRMO) were involved in 269 (76%) hospital and 103 (94%) LTCF outbreaks. Most outbreaks were caused by methicillin-resistant Staphylococcus aureus (MRSA; n = 93 (26%) in hospitals, n = 80 (72%) in LTCF), vancomycin-resistant Enterococcus faecium (VRE; n = 116 (33%) in hospitals, n = 2 (2%) in LTCF) and highly resistant Enterobacterales (n = 41 (12%) in hospitals, n = 20 (18%) in LTCF). Carbapenemase-producing gram-negative bacteria were involved in 32 (9.1%) hospital and five (4.5%) LTCF outbreaks. In hospitals, VRE outbreaks had the longest duration (median 2.3; range 0.0-22.8 months) and widest range of affected patients (median 9; range 2-483). CONCLUSIONS: The SO-ZI/AMR provided national insight into the characteristics of nosocomial outbreaks over the past decade. HRMO outbreaks - mostly caused by MRSA, VRE (in hospitals) and highly resistant Enterobacterales - occurred regularly, but most of them were controlled quickly and did not develop into a public health threat. The SO-ZI/AMR has become a solid monitoring body, essential to assess risks and raise awareness of potential HRMO threats.

Hand hygiene compliance and its drivers in long-term care facilities; observations and a survey.

BACKGROUND: Hand hygiene is an important measure to prevent healthcare-associated infections in long-term care facilities. OBJECTIVES: To evaluate compliance with hand hygiene recommendations by different nursing professionals in long-term care facilities and to investigate determinants potentially influencing hand hygiene and whether these differed between the different cadres of staff. METHODS: We conducted two sub-studies: we measured hand hygiene compliance of 496 professionals in 14 long-term care facilities (23 wards) through direct observation using World Health Organisation's 'five moments of hand hygiene' observation tool. In addition, we performed a survey to examine determinants that may influence hand hygiene and to determine differences between different cadres of staff. We used a principal component analysis approach with varimax rotation to explore the underlying factor structure of the determinants. RESULTS: We found an overall mean hand hygiene compliance of 17%. There was considerable variation between wards (5-38%) and between specific World Health Organization hand hygiene moments. In addition, hand hygiene compliance varied widely within and between different cadres of staff. The determinant analysis was conducted on 177 questionnaires. For all nursing professionals, we found multiple determinants in four domains: 'social context and leadership', 'resources', 'individual healthcare professional factors' and 'risk perception'. In two domains, several barriers were perceived differently by nursing assistants and nurses. In the domain 'social context and leadership', this included (1) how the manager addresses barriers to enable hand hygiene as recommended and (2) how the manager pays attention to correct adherence to the hand hygiene guidelines. In the 'risk perception' domain, this included a resident's risk of acquiring an infection as a result of the nursing professional's failure to comply with the hand hygiene guidelines. CONCLUSION: Hand hygiene compliance was low and influenced by multiple factors, several of which varied among different cadres of staff. When designing interventions to improve hand hygiene performance in long-term care facilities, strategies should take into account these determinants and how they vary between different cadres of staff. We recommend exploring hand hygiene determinants at ward level and among different cadres of staff, for example by using our exploratory questionnaire. TRIAL REGISTRATION: Registration number 50-53000-98-113, 'Compliance with hand hygiene in nursing homes: go for a sustainable effect' on ClinicalTrials.gov. Date of registration 28-6-2016.

Exploring determinants of hand hygiene compliance in LTCFs: a qualitative study using Flottorps' integrated checklist of determinants of practice.

BACKGROUND: Elderly residents in long-term care facilities (LTCFs) are vulnerable to healthcare-associated infections. Although hand hygiene is a leading measure for preventing infection, the compliance of healthcare workers is low. The aim of this study is to identify determinants that influence hand hygiene compliance of nursing staff in LTCFs. This information on determinants can eventually be used to develop a tailored implementation strategy for LTCFs. METHODS: This is an explorative, descriptive study using qualitative methods. We performed semi-structured focus group discussions with 31 nurses and nurse assistants from five Dutch LTCFs. Our focus group discussions continued until no new information could be identified from the data. We used Flottorps' comprehensive checklist for identifying determinants of practice (the TICD checklist) to guide data collection and analysis. The audiotapes were transcribed verbatim and two authors independently analysed the transcripts with Atlas.ti software. RESULTS: LTCFs for the elderly have setting specific determinants that are decisive in explaining hand hygiene compliance. Most of these determinants are related to the residents with whom nurses build close relationships and for whom they want to create a homelike atmosphere. Residents can complicate the provision of care with unpredictable behaviour, being unwilling to receive care or use shared facilities. Our study also discovered setting-transcending determinants related to knowledge, professional interactions, guidelines, and incentives/resources. CONCLUSIONS: Nurses in LTCFs are constantly pursuing a balance between working hygienically, responding adequately to acute care needs, and maintaining a homelike environment for their residents. As a result, setting-specific determinants affect hand hygiene compliance, as do the known determinants that are important in other care settings. To improve compliance in LTCFs, interventions should be selected on a theoretical base while linking these determinants to change interventions. TRIAL REGISTRATION: Registration number 50-53000-98-113, Compliance With Hand Hygiene in Nursing Homes: Go for a Sustainable Effect (CHANGE) on ClinicalTrials.gov. Date of registration 28-6-2016.

Sample size calculation for stepped-wedge cluster-randomized trials with more than two levels of clustering.

BACKGROUND/AIMS: Power and sample size calculation formulas for stepped-wedge trials with two levels (subjects within clusters) are available. However, stepped-wedge trials with more than two levels are possible. An example is the CHANGE trial which randomizes nursing homes (level 4) consisting of nursing home wards (level 3) in which nurses (level 2) are observed with respect to their hand hygiene compliance during hand hygiene opportunities (level 1) in the care of patients. We provide power and sample size methods for such trials and illustrate these in the setting of the CHANGE trial. METHODS: We extend the original sample size methodology derived for stepped-wedge trials based on a random intercepts model, to accommodate more than two levels of clustering. We derive expressions that can be used to determine power and sample size for p levels of clustering in terms of the variances at each level or, alternatively, in terms of intracluster correlation coefficients. We consider different scenarios, depending on whether the same units in a particular level are repeatedly measured as a cohort sample or whether different units are measured cross-sectionally. RESULTS: A simple variance inflation factor is obtained that can be used to calculate power and sample size for continuous and by approximation for binary and rate outcomes. It is the product of (1) variance inflation due to the multilevel structure and (2) variance inflation due to the stepped-wedge manner of assigning interventions over time. Standard and non-standard designs (i.e. so-called "hybrid designs" and designs with more, less, or no data collection when the clusters are all in the control or are all in the intervention condition) are covered. CONCLUSIONS: The formulas derived enable power and sample size calculations for multilevel stepped-wedge trials. For the two-, three-, and four-level case of the standard stepped wedge, we provide programs to facilitate these calculations.

Changing characteristics of livestock-associated meticillin-resistant Staphylococcus aureus isolated from humans - emergence of a subclade transmitted without livestock exposure, the Netherlands, 2003 to 2014.

Since 2007, livestock-associated meticillin-resistant Staphylococcus aureus (LA-MRSA) has become the predominant MRSA clade isolated from humans in the Netherlands. To assess possible temporal changes, we molecularly characterised over 9,000 LA-MRSA isolates submitted from 2003 to 2014 to the Dutch MRSA surveillance. After an initial rapid increase with a peak in 2009 (n = 1,368), the total number of submitted LA-MRSA isolates has been slowly decreasing to 968 in 2014 and over 80% of LA-MRSA belonged to one of three predominant MLVA/spa-types. Next generation sequencing (n=118) showed that MT569/t034 isolates were genetically more diverse than MT398/t011 and MT572/t108. Concurrent with the decrease in LA-MRSA, fewer people reported having contact with livestock and this was most prominent for people carrying MT569/t034 LA-MRSA. The proportion of LA-MRSA isolated from infection-related materials increased from 6% in 2009, to 13% in 2014 and most of these isolates originated from patients older than 50 years of age. Remarkably, 83% of these patients reported not having contact with livestock. The results reveal an ongoing change in the genotypic and epidemiological characteristics of Dutch LA-MRSA isolated from humans with the emergence of a LA-MRSA subclade independent of livestock exposure, suggesting LA-MRSA starts to resemble non-LA-MRSA in terms of transmissibility and pathogenicity.

Next-Generation Sequencing Confirms Presumed Nosocomial Transmission of Livestock-Associated Methicillin-Resistant Staphylococcus aureus in the Netherlands.

UNLABELLED: Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) was detected in 2003 and rapidly became the predominant MRSA clade in the Netherlands. Studies have shown that transmissions are difficult to identify, since this MRSA variant represents a genetically homogenous clade when current typing techniques are used. Here, next-generation sequencing was performed on 206 LA-MRSA isolates to assess the capability of LA-MRSA to be transmitted between humans. The usefulness of single nucleotide variants (SNVs), the composition of the SCCmec region, and the presence of plasmids to identify transmission of LA-MRSA were assessed. In total, 30 presumed putative nosocomial transmission events and 2 LA-MRSA outbreaks were studied; in most cases, SNV analysis revealed that the isolates of the index patient and the contact(s) clustered closely together. In three presumed events, the isolates did not cluster together, indicating that transmission was unlikely. The composition of the SCCmec region corroborated these findings. However, plasmid identification did not support our SNV analysis, since different plasmids were present in several cases where SNV and SCCmec analysis suggested that transmission was likely. Next-generation sequencing shows that transmission of LA-MRSA does occur in Dutch health care settings. Transmission was identified based on SNV analysis combined with epidemiological data and in the context of epidemiologically related and unrelated isolates. Analysis of the SCCmec region provided limited, albeit useful, information to corroborate conclusions on transmissions, but plasmid identification did not. IMPORTANCE: In 2003, a variant of methicillin-resistant Staphylococcus aureus (MRSA) isolated from pigs was also found in pig farmers in France and the Netherlands. Soon thereafter, this livestock-associated MRSA (LA-MRSA) was identified in many other countries. Transmission of LA-MRSA between humans, particularly in the health care setting, is regarded to occur sporadically. Moreover, studies that describe LA-MRSA transmission used molecular characterization of isolates with limited discriminatory power, making the validity of the conclusion that transmission occurred questionable. In our study, we sequenced the complete genomes of 206 LA-MRSA isolates, obtained from more than 30 presumed LA-MRSA transmission events. Analysis of the data showed that transmission of LA-MRSA between humans had indeed occurred in more than 90% of these events. We conclude that transmission of LA-MRSA between humans does occur in Dutch health care settings; therefore, a decision to discontinue the search and destroy policy for LA-MRSA should be taken with caution.

The Role of Nursing Homes in the Spread of Antimicrobial Resistance Over the Healthcare Network.

OBJECTIVE Recerntly, the role of the healthcare network, defined as a set of hospitals linked by patient transfers, has been increasingly considered in the control of antimicrobial resistance. Here, we investigate the potential impact of nursing homes on the spread of antimicrobial-resistant pathogens across the healthcare network and its importance for control strategies. METHODS Based on patient transfer data, we designed a network model representing the Dutch healthcare system of hospitals and nursing homes. We simulated the spread of an antimicrobial-resistant pathogen across the healthcare network, and we modeled transmission within institutions using a stochastic susceptible-infected-susceptible (SIS) epidemic model. Transmission between institutions followed transfers. We identified the contribution of nursing homes to the dispersal of the pathogen by comparing simulations of the network with and without nursing homes. RESULTS Our results strongly suggest that nursing homes in the Netherlands have the potential to drive and sustain epidemics across the healthcare network. Even when the daily probability of transmission in nursing homes is much lower than in hospitals, transmission of resistance can be more effective because of the much longer length of stay of patients in nursing homes. CONCLUSIONS If an antimicrobial-resistant pathogen emerges that spreads easily within nursing homes, control efforts aimed at hospitals may no longer be effective in preventing nationwide outbreaks. It is important to consider nursing homes in planning regional and national infection control and in implementing surveillance systems that monitor the spread of antimicrobial resistance. Infect Control Hosp Epidemiol 2016;37:761-767.

Methicillin-resistant Staphylococcus aureus and extended-spectrum and AmpC ß-lactamase-producing Escherichia coli in broilers and in people living and/or working on organic broiler farms.

The aim of this study was to estimate the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and extended-spectrum and AmpC ß-lactamase (ESBL/AmpC)-producing Escherichia coli among broilers, and humans living and/or working on organic broiler farms; further characterise isolates; and compare these results with those from conventional farms. In the Netherlands, only 9 certified organic broiler farms were present. On 8 of these farms, 60 throat swabs and 20 cloacal swabs were taken per farm for MRSA and ESBL/AmpC-E. coli detection, respectively, at an average age of both 34 (T1) and 68 (T2) days. Faecal swabs and questionnaires were returned by 27 out of 36 humans. For selected ESBL/AmpC-producing E. coli isolates, phylogenetic groups, ß-lactamase genes, plasmid families, and sequence types were determined. MRSA was not detected in broiler and human samples. ESBL/AmpC-producing E. coli were isolated from broilers on 7/8 farms at T1 and on all farms at T2. Furthermore, 3 farmers at T1, and 2 farmers and 1 family member at T2 were positive. Genes found in broilers and humans were almost exclusively blaCTX-M-1 and blaCMY-2. Given the high overall human ESBL/AmpC-prevalence (18.5%), which is similar to conventional farms, contact with live broilers is assumed a risk factor for carriage. Farm and sample-level prevalence at T1 are consistent with those from conventional farms. At T2, just before slaughter, sample-level prevalence of ESBL/AmpC-E. coli appears to have decreased (94.3% vs. 80%), which could have important consequences for contamination of retail meat.

Low incidence of livestock-associated methicillin-resistant Staphylococcus aureus bacteraemia in The Netherlands in 2009.

Methicillin-resistant Staphylococcus aureus (MRSA) is a worldwide problem in both hospitals and communities all over the world. In 2003, a new MRSA clade emerged with a reservoir in pigs and veal calves: livestock-associated MRSA (LA-MRSA). We wanted to estimate the incidence of bacteraemias due to LA-MRSA using national surveillance data from 2009 in the Netherlands. We found a low incidence of LA-MRSA and MRSA bacteraemia episodes, compared to bacteraemias caused by all S. aureus (0.04, 0.18 and 19.3 episodes of bacteraemia per 100,000 inhabitants per year, respectively). LA-MRSA and MRSA were uncommon compared to numbers from other countries as well. MRSA in general and LA-MRSA in specific does not appear to be a public health problem in the Netherlands now. The low incidence of LA-MRSA bacteraemia episodes may best be explained by differences in the populations affected by LA-MRSA versus other MRSA. However, reduced virulence of the strain involved, and the effectiveness of the search and destroy policy might play a role as well.

Cross border comparison of MRSA bacteraemia between The Netherlands and North Rhine-Westphalia (Germany): a cross-sectional study.

BACKGROUND: We describe the impact of methicillin-resistant Staphylococcus aureus (MRSA) in two neighbouring regions in Europe with a comparable population size, North Rhine-Westphalia (NRW) in Germany and the Netherlands. METHODOLOGY/PRINCIPAL FINDINGS: We compared the occurrence of MRSA in blood cultures from surveillance systems. In the Netherlands in 2009, 14 of 1,510 (0.9%) Staphylococcus aureus bacteraemia episodes under surveillance were MRSA. Extrapolation using the number of clinical admissions results in a total of 29 MRSA bacteraemia episodes in the Netherlands or 1.8 episodes per 1,000,000 inhabitants. In 2010 in NRW, 1,029 MRSA bacteraemias were reported, resulting in 57.6 episodes of MRSA bacteraemia per 1,000,000 inhabitants: a 32-fold higher incidence than in the Netherlands. CONCLUSION/SIGNIFICANCE: Based on an estimated attributable mortality of 15%, the Dutch approach would save approximately 150 lives per year by the prevention of bacteraemia only.

Absence of influenza A(H1N1) during seasonal and pandemic seasons in a sentinel nursing home surveillance network in the Netherlands.

OBJECTIVES: To describe the epidemiological, virological, and institutional characteristics of influenza-like illness (ILI) in nursing homes (NHs). DESIGN: Continuous clinical surveillance of ILI and virological surveillance of ILI and other acute respiratory infections (ARIs) during four influenza seasons. SETTING: National sentinel NH surveillance network. PARTICIPANTS: National sentinel residents. MEASUREMENTS: Weekly registration of ILI cases (influenza seasons 2008/09-2009/10), influenza virus detection (influenza seasons 2006/07-2009/10), and collection of institutional characteristics of NHs at start of participation. RESULTS: During the 2008/09 influenza season, ILI incidence started to rise in Week 49 of 2008, peaked in Week 3 of 2009 (158 cases per 10,000 resident weeks), and flattened out by Week 16 of 2009 (mean ILI incidence during epidemic: 73 cases per 10,000 resident weeks). During the 2009/10 influenza pandemic, there was no epidemic peak. Influenza virus type and subtype varied throughout virological surveillance but was limited to influenza A(H3N2) and B viruses. Higher staff vaccination coverage (>15%) was associated with lower ILI-incidence in the 2008/09 influenza season in a univariate negative binomial regression analysis (incidence rate ratio = 0.3, 95% confidence interval = 0.1-0.8)). CONCLUSION: Neither seasonal nor pandemic influenza A(H1N1) viruses were detected in the network, despite widespread community transmission of seasonal and influenza A(H1N1) virus. ILI incidence trends corresponded to virological trends. Sentinel surveillance of ILI combining clinical and virological data in NHs increases understanding of transmission risks in this specific vulnerable population.

Persistence of livestock-associated methicillin-resistant Staphylococcus aureus in field workers after short-term occupational exposure to pigs and veal calves.

The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) carriage in pig and veal calf farmers in the Netherlands is estimated at 25 to 35%. However, no information is available about MRSA carriage in humans after short-term occupational exposure to pigs or veal calves. This study examines the prevalence and duration of MRSA acquisition after short-term intensive exposure to pigs or veal calves for persons not exposed to livestock on a daily basis. The study was performed with field workers who took samples from the animals or the animal houses in studies on MRSA prevalence in pig and veal farms. They were tested for MRSA by taking nasal samples before, directly after, and 24 h after they visited the farms. There were 199 sampling moments from visits to 118 MRSA-positive farms. Thirty-four of these visits (17%) resulted in the acquisition of MRSA. Thirty-one persons (94%) appeared negative again after 24 h. There were 62 visits to 34 MRSA-negative farms; none of the field workers acquired MRSA during these visits. Except for that from one person, all spa types found in the field workers were identical to those found in the animals or in the dust in animal houses and belonged to the livestock-associated clone. In conclusion, MRSA is frequently present after short-term occupational exposure, but in most cases the strain is lost again after 24 h.