Three-year prevalence of healthcare-associated infections in Dutch nursing homes

Eikelenboom-Boskamp, A.; Cox-Claessens, J.H.M.; Boom-Poels, P.G.M.; Drabbe, Miranda; Koopmans, Raymond T.C.M.; Voß, Andreas

doi:10.1016/j.jhin.2011.01.024

Cited by 35 publications

(33 citation statements)

References 14 publications

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“…In a three -year prevalence study carried out in nursing homes of a specific region in the Netherlands from 2007 to 2009, the prevalence of HAIs increased from 6.7% in 2007 to 7.6% in 2009 [29]. Although no information was provided on the HIV status of the patients in that study, HIV prevalence in that region is very low [29]. Similar to our findings, UTIs were also the most common infections diagnosed in those nursing home residents [29].…”

Section: Discussionmentioning

confidence: 99%

Risk Factors and Temporal Trends of Hospital-Acquired Infections (HAIs) Among HIV Positive Patients in Urban New York City Hospitals: 2006 to 2014

Tchakoute¹,

Liu²,

Cohen³

et al. 2017

RRCT

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Background HIV-infected patients may be at a greater risk of Hospital-Acquired Infections (HAIs) but risks factors for HAIs have not been well described in this population. Objective The aim of this study was to examine the incidence, temporal trends and risk factors of HAIs among adult HIV positive patients. Methods This was a retrospective cohort study carried out in an academic health system in New York City which included four hospitals over a 9-year period from 2006 to 2014. Simple and multiple logistic regression models were built to determine risk factors associated with site-specific HAIs such as Urinary Tract Infections (UTIs), Pneumonia (PNUs) and Bloodstream Infections (BSIs). Findings There were 10,575 HIV positive discharges and 1,328 had HAIs: 697 UTIs, 555 BSIs and 192 PNUs. The incidence rate of HAIs decreased from 19.8 to 15.1 new infections per 1000 person-days between 2006 and 2014 (p value<0.001). In addition to the expected risk factors of urinary catheter use for UTI and central venous line use for BSI, symptomatic HIV and renal failure were significant risk factors for both UTIs (95% CI OR: (1.24, 2.27) and (1.46, 2.11) respectively) and BSIs (95% CIs OR: (2.28, 4.18) and (1.81, 2.71) respectively). Conclusion HIV-infected patients had similar risk factors for HAIs as HIV-uninfected patients. Further research is required to address how patients’ CD4 counts and viral loads affect their susceptibility to HAIs.

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Section: Discussionmentioning

confidence: 99%

Risk Factors and Temporal Trends of Hospital-Acquired Infections (HAIs) Among HIV Positive Patients in Urban New York City Hospitals: 2006 to 2014

Tchakoute¹,

Liu²,

Cohen³

et al. 2017

RRCT

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“…9 All over, we see that UTI are the most common infections found in SNIV, which is in accordance to the results of a recent prevalence study in the Netherlands. 10 There are national guidelines for infection control in the Netherlands but given the variability in incidence of infectious disease, it becomes clear that every nursing home should tailor their approach, based on the national guidelines, 11 to the local situation.…”

Section: Discussionmentioning

confidence: 99%

Surveillance of infections in nursing homes in the Netherlands, how to come from information to action

Haenen

Alblas²,

Greeff³

et al. 2014

Int. j. infect. control

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The SNIV network is a national surveillance system involving nursing homes on a voluntary base. The aim of the SNIV network is to provide systematic year-round surveillance data on the incidence of infections in nursing homes for local interventions and national policymaking and for the development of infection control guidelines.The network was designed as a sentinel active surveillance network involving nurse practitioners and/or elderly care physicians who report weekly on incident infectious diseases (gastro-enteritis, influenza-like illness, probable pneumonia and the addition of urinary tract infections in 2011) in their nursing home based on clinical definitions.The average weekly incidence per 1000 residents in the years 2009 till 2012 varied by year: gastro-enteritis: 3.8, 4.6, 3.7, 2.5; influenza-like illness: 1.6, 0.4, 0.5, 1.8; probable pneumonia: 3.6, 3.7, 2.9, 3.5; urinary tract infections: 8.0, 9.6 per 1000 resident weeks in 2011 and 2012. Gastro-enteritis most frequently occurred in local outbreaks and incidence peaked in winter. Incidence of influenza-like illness only showed a seasonal pattern in 2009 due to absence of infections with A(H1N1) influenza virus in nursing home residents.Int J Infect Control 2014, v10:i4 doi: 10.3396/IJIC.v10i4.026.14 Page 2 of 7 not for citation purposes Surveillance of infections in nursing homesHaenen et al.The results from our nationwide on-going weekly surveillance into the incidence of infections in nursing homes show that systematic surveillance in nursing homes is feasible. These data provides insight into seasonal patterns and risk factors for infection needed to guide infection control efforts and form the basis for comparisons between institutions and within regions. Furthermore, these data provide a solid baseline when studying the effectiveness of intervention strategies in the nursing home setting.

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“…The breakpoints, for the classification in low, intermediate and high, are based on national prevalence surveys, scientific publications and if no data was available on expert opinion (Additional file 1) [6,7,9]. …”

Section: Methodsmentioning

confidence: 99%

“…The breakpoints, for the classification in low, intermediate and high, of prevalence of medical devices were based on data from the Dutch prevalence surveys for NH [6,7,9]. …”

Section: Methodsmentioning

confidence: 99%

“…These surveys typically only include patient-related variables, such as, gender, age, use of medical devices or antimicrobial use [6-8]. However, the concept of infection control is multifaceted and little is known of the importance of ward- or institution specific risk factors for HAI, such as environmental contamination, the availability of local infection prevention guidelines and constraints in infection prevention [9].…”

Section: Introductionmentioning

confidence: 99%

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Measuring the quality of infection control in Dutch nursing homes using a standardized method; the Infection prevention RIsk Scan (IRIS)

Willemsen

Nelson-Melching

Hendriks

et al. 2014

Antimicrob Resist Infect Control

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BackgroundWe developed a standardised method to assess the quality of infection control in Dutch Nursing Home (NH), based on a cross-sectional survey that visualises the results. The method was called the Infection control RIsk Infection Scan (IRIS). We tested the applicability of this new tool in a multicentre surveillance executed June and July 2012.MethodsThe IRIS includes two patient outcome-variables, i.e. the prevalence of healthcare associated infections (HAI) and rectal carriage of Extended-Spectrum Beta-Lactamase (ESBL) producing Enterobacteriaceae (ESBL-E); two patient-related risk factors, i.e. use of medical devices, and antimicrobial therapy; and three ward-related risk factors, i.e. environmental contamination, availability of local guidelines, and shortcomings in infection prevention preconditions. Results were categorised as low-, intermediate- and high risk, presented in an easy-to-read graphic risk spider-plot. This plot was given as feedback to management and healthcare workers of the NH.ResultsLarge differences were found among most the variables in the different NH. Common shortcomings were the availability of infection control guidelines and the level of environmental cleaning. Most striking differences were observed in the prevalence of ESBL carriage, ranged from zero to 20.6% (p < 0.001).ConclusionsThe IRIS provided a rapid and easy to understand assessment of the infection control situation of the participating NH. The results can be used to improve the quality of infection control based on the specific needs of a NH but needs further validation in future studies. Repeated measurement can determine the effectiveness of the interventions. This makes the IRIS a useful tool for quality systems.

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Three-year prevalence of healthcare-associated infections in Dutch nursing homes

Cited by 35 publications

References 14 publications

Risk Factors and Temporal Trends of Hospital-Acquired Infections (HAIs) Among HIV Positive Patients in Urban New York City Hospitals: 2006 to 2014

Risk Factors and Temporal Trends of Hospital-Acquired Infections (HAIs) Among HIV Positive Patients in Urban New York City Hospitals: 2006 to 2014

Surveillance of infections in nursing homes in the Netherlands, how to come from information to action

Measuring the quality of infection control in Dutch nursing homes using a standardized method; the Infection prevention RIsk Scan (IRIS)

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