Burden of five healthcare associated infections in Australia

Oral care practices and hospital-acquired pneumonia prevention: A national survey of Australian nurses

BACKGROUND

Hospital-acquired pneumonia (HAP) also known as non-ventilator associated pneumonia, is one of the most common infections acquired in hospitalised patients. Improving oral hygiene appears to reduce the incidence of HAP. This study aimed to describe current practices, barriers and facilitators, knowledge and educational preferences of registered nurses performing oral health care in the Australian hospital setting, with a focus on the prevention of HAP. We present this as a short research report.

METHODS

We undertook a cross sectional online anonymous survey of Australian registered nurses. Participants were recruited via electronic distribution through existing professional networks and social media. The survey used was modified from an existing survey on oral care practice.

RESULTS

The survey was completed by 179 participants. Hand hygiene was considered a very important strategy to prevent pneumonia (n = 90, 58%), while 45% (n = 71) felt that oral care was very important. The most highly reported barriers for providing oral care included: an uncooperative patient; inadequate staffing; and a lack of oral hygiene requisite. Patients' reminders, prompts and the provision of toothbrushes were common ways believed to help facilitate improvements in oral care.

CONCLUSION

Findings from this survey will be used in conjunction with consumer feedback, to help inform a planned multi-centre randomised trial, the Hospital Acquired Pneumonia PrEveNtion (HAPPEN) study, aimed at reducing the incidence of HAP. Findings may also be useful for informing studies and quality improvement initiatives aimed at improving oral care to reduce the incidence of HAP.

The burden of healthcare-associated infections in New Zealand public hospitals 2021

BACKGROUND

There are no contemporary data on the burden of healthcare-associated infections (HAIs) in New Zealand.

OBJECTIVES

To estimate the economic burden of HAIs in adults in New Zealand public hospitals by number and monetary value of bed days lost; number of deaths, number of life years lost, and the monetary value (in NZ dollars); Accident Compensation Commission (ACC) HAI treatment injury payments; and disability-adjusted life years (DALYs).

METHODS

The annual incidence rate was calculated from the observed prevalence of HAIs in New Zealand, and length of patient stays. Total HAIs for 2021 were estimated by multiplying adult admissions by incidence rates. The excess length of stay and mortality risk attributed to those with HAI was calculated using a multistate model. Payments for treatment injuries were obtained from the ACC. DALYs for HAIs were estimated from the literature.

RESULTS

The incidence rate of HAI was 4.74%, predicting 24,191 HAIs for 2021, resulting in 76,861 lost bed days, 699 deaths, with 9,371 years of life lost (YoLL). The annual economic burden was estimated to be $955m comprised of $121m for lost bed days, $792m for cost of YoLL, and $43m ACC claims. There were 24,165 DALY which is greater than many other measured injuries in New Zealand, eg motor vehicle traffic crashes with 20,328 DALY.

CONCLUSIONS

HAIs are a significant burden for patients, their families, and the public health system. Preventive guidelines for many HAIs exist and a strategic plan is needed to reduce HAIs in New Zealand.

Economic burden attributable to hospital-acquired infections among tumor patients from a large regional cancer center in Southern China

BACKGROUND

To evaluate the economic loss of hospital-acquired infections (HAIs) among tumor patients so as to help policymakers to allocate health care resources and address the issue.

METHODS

We conducted a retrospective, 1:1 matched case-control study in a large region cancer hospital between January 1 and December 31, 2022. The economic burden was estimated as the median of the 1:1 pair differences of various hospitalization fees and hospital length of stay (LOS).

RESULTS

In this study of 329 matched pairs, the patients with HAIs incurred higher hospitalization cost (ie, $16,927) and experienced longer hospital LOS (ie, 22 days), compared to the non-HAI groups. The extra hospitalization cost and the prolonged hospital LOS caused by HAIs were $4,919 and 9 days, respectively. Accordingly, the direct nonmedical economic loss attributable to HAI was approximately $478 to 835 per case. Furthermore, the increment of hospitalization costs varied by sites of infection, types of tumors, and stratum of age.

CONCLUSIONS

HAIs lead to the increment of direct economic burden and hospital LOS in tumor patients. Our findings highlight the importance of implementing effective infection control measures in hospitals to reduce the financial burden on tumor patients.

Photobiocidal Activity of TiO2/UHMWPE Composite Activated by Reduced Graphene Oxide under White Light

Herein, we introduce a photobiocidal surface activated by white light. The photobiocidal surface was produced through thermocompressing a mixture of titanium dioxide (TiO2), ultra-high-molecular-weight polyethylene (UHMWPE), and reduced graphene oxide (rGO) powders. A photobiocidal activity was not observed on UHMWPE-TiO2. However, UHMWPE-TiO2@rGO exhibited potent photobiocidal activity (>3-log reduction) against Staphylococcus epidermidis and Escherichia coli bacteria after a 12 h exposure to white light. The activity was even more potent against the phage phi 6 virus, a SARS-CoV-2 surrogate, with a >5-log reduction after 6 h exposure to white light. Our mechanistic studies showed that the UHMWPE-TiO2@rGO was activated only by UV light, which accounts for 0.31% of the light emitted by the white LED lamp, producing reactive oxygen species that are lethal to microbes. This indicates that adding rGO to UHMWPE-TiO2 triggered intense photobiocidal activity even at shallow UV flux levels.

Development and validation a nomogram prediction model for early diagnosis of bloodstream infections in the intensive care unit

Purpose

This study aims to develop and validate a nomogram for predicting the risk of bloodstream infections (BSI) in critically ill patients based on their admission status to the Intensive Care Unit (ICU).

Patients and methods

Patients' data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database (training set), the Beijing Friendship Hospital (BFH) database (validation set) and the eICU Collaborative Research Database (eICU-CRD) (validation set). Univariate logistic regression analyses were used to analyze the influencing factors, and lasso regression was used to select the predictive factors. Model performance was assessed using area under receiver operating characteristic curve (AUROC) and Presented as a Nomogram. Various aspects of the established predictive nomogram were evaluated, including discrimination, calibration, and clinical utility.

Results

The model dataset consisted of 14930 patients (1444 BSI patients) from the MIMIC-IV database, divided into the training and internal validation datasets in a 7:3 ratio. The eICU dataset included 2100 patients (100 with BSI) as the eICU validation dataset, and the BFH dataset included 419 patients (21 with BSI) as the BFH validation dataset. The nomogram was constructed based on Glasgow Coma Scale (GCS), sepsis related organ failure assessment (SOFA) score, temperature, heart rate, respiratory rate, white blood cell (WBC), red width of distribution (RDW), renal replacement therapy and presence of liver disease on their admission status to the ICU. The AUROCs were 0.83 (CI 95%:0.81-0.84) in the training dataset, 0.88 (CI 95%:0.88-0.96) in the BFH validation dataset, and 0.75 (95%CI 0.70-0.79) in the eICU validation dataset. The clinical effect curve and decision curve showed that most areas of the decision curve of this model were greater than 0, indicating that this model has a certain clinical effectiveness.

Conclusion

The nomogram developed in this study provides a valuable tool for clinicians and nurses to assess individual risk, enabling them to identify patients at a high risk of bloodstream infections in the ICU.

Multimodal environmental cleaning strategies to prevent healthcare-associated infections

Infection transmission in healthcare is multifaceted and by in large involves the complex interplay between a pathogen, a host and their environment. To prevent transmission, infection prevention strategies must also consider these complexities and incorporate targeted interventions aimed at all possible transmission pathways. One strategy to prevent and control infection is environmental cleaning. There are many aspects to an environmental cleaning strategy. We believe the key to successfully reducing the risk of healthcare-associated infections through the environment, is to design and implement a multimodal intervention. This paper aims to provide an overview of important considerations for designing a meaningful and sustainable environmental program for healthcare facilities.

Incremental costs of hospital-acquired infections in COVID-19 patients in an adult intensive care unit of a tertiary hospital from a low-resource setting

BACKGROUND

Hospital-acquired infections (HAIs) are a global public health problem and put patients at risk of complications, including death. HAIs increase treatment costs, but their financial impact on Serbia's healthcare system is unknown. Our goal was to assess incremental costs of HAIs in a tertiary care adult intensive care unit (ICU) that managed COVID-19 patients.

METHODS

A retrospective study from March 6th to December 31st, 2020 included patients with microbiologically confirmed COVID-19 (positive rapid antigen test or real-time polymerase chain reaction) treated in the ICU of the Teaching Hospital for Infectious and Tropical Diseases, University Clinical Centre of Serbia. Demographic and HAI-specific data acquired in our ICU were collected, including total and stratified medical costs (services, materials, laboratory testing, medicines, occupancy costs). Median total and stratified costs were compared in relation to HAI acquisition. Linear regression modelling was used to assess incremental costs of HAIs, adjusted for age, biological sex, prior hospitalisation, Charlson Comorbidity Index (CCI), and Glasgow Coma Scale (GCS) on admission. Outcome variables were length of stay (LOS) in days and mortality.

RESULTS

During the study period, 299 patients were treated for COVID-19, of which 214 were included. HAIs were diagnosed in 56 (26.2%) patients. Acinetobacter spp. was the main pathogen in respiratory (38, 45.8%) and bloodstream infections (35, 42.2%), the two main HAI types. Median total costs were significantly greater in patients with HAIs (€1650.4 vs. €4203.2, p < 0.001). Longer LOS (10.0 vs. 18.5 days, p < 0.001) and higher ICU mortality (51.3% vs. 89.3%, p < 0.001) were seen if HAIs were acquired. Patients with ≥ 2 HAIs had the highest median total costs compared to those without HAIs or with a single HAI (€1650.4 vs. €3343.4 vs. €7336.9, p < 0.001). Incremental costs in patients with 1 and ≥ 2 HAIs were €1837.8 (95% CI 1257.8-2417.7, p < 0.001) and €5142.5 (95% CI 4262.3-6022.7, p < 0.001), respectively.

CONCLUSIONS

This is the first economic evaluation of HAIs in Serbia, showing significant additional costs to our healthcare system. HAIs prolong LOS and influence ICU mortality rates. Larger economic assessments are needed to enhance infection control practices.

The burden of surgical site infections in Australia: A cost-of-illness study

OBJECTIVE

To estimate the cost of surgical site infections in Australian public hospitals in 2018-19, to demonstrate the economic burden of hospital-associated infection in a well-resourced health system.

METHODS

A cost-of-illness analysis was conducted over a 1-year time horizon based on data from published literature extrapolated using simulation techniques. The direct and indirect costs of SSI were estimated for Australia and each of its states and territories.

RESULTS

An estimated 16,541 cases of SSI occurred in Australian public hospitals in 2018-19, resulting in a total direct cost of A$323.5 million. The average cost per case was A$18,814, which was 2.5 times the average per capita spending on health. The indirect costs of absenteeism and premature death were valued at A$23.0 million and A$2 948.1 million per annum, respectively.

CONCLUSION

SSI is a significant but preventable cost with most of the financial burden coming from premature deaths but underreporting means our costs are likely underestimated.

A randomised controlled trial investigating the effect of improving the cleaning and disinfection of shared medical equipment on healthcare-associated infections: the CLEaning and Enhanced disiNfection (CLEEN) study

BACKGROUND

Healthcare-associated infections (HAIs) are a common, costly, yet largely preventable complication impacting patients in healthcare settings globally. Improving routine cleaning and disinfection of the hospital environment has been shown to reduce the risk of HAI. Contaminated shared medical equipment presents a primary transmission route for infectious pathogens, yet is rarely studied. The CLEEN study will assess how enhanced cleaning and disinfection of shared medical equipment affects the rate of HAIs in a tertiary hospital setting. The initiative is an evidence-based approach combining staff training, auditing and feedback to environmental services staff to enhance cleaning and disinfection practices.

METHODS

The CLEEN study will use a stepped wedge randomised controlled design in 10 wards of one large Australian hospital over 36 weeks. The intervention will consist of 3 additional hours per weekday for the dedicated cleaning and disinfection of shared medical equipment on each ward. The primary outcome is to demonstrate the effectiveness of improving the quality and frequency of cleaning shared medical equipment in reducing HAIs, as measured by a HAI point prevalence study (PPS). The secondary outcomes include the thoroughness of equipment cleaning assessed using fluorescent marker technology and the cost-effectiveness of the intervention.

DISCUSSION

Evidence from the CLEEN study will contribute to future policy and practice guidelines about the cleaning and disinfection of shared medical equipment. It will be used by healthcare leaders and clinicians to inform decision-making and implementation of best-practice infection prevention strategies to reduce HAIs in healthcare facilities.

TRIAL REGISTRATION

Australia New Zealand Clinical Trial Registry ACTRN12622001143718.

Clinical Implementation of Routine Whole-genome Sequencing for Hospital Infection Control of Multi-drug Resistant Pathogens

BACKGROUND

Prospective whole-genome sequencing (WGS)-based surveillance may be the optimal approach to rapidly identify transmission of multi-drug resistant (MDR) bacteria in the healthcare setting.

METHODS

We prospectively collected methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), carbapenem-resistant Acinetobacter baumannii (CRAB), extended-spectrum beta-lactamase (ESBL-E), and carbapenemase-producing Enterobacterales (CPE) isolated from blood cultures, sterile sites, or screening specimens across three large tertiary referral hospitals (2 adult, 1 paediatric) in Brisbane, Australia. WGS was used to determine in silico multi-locus sequence typing (MLST) and resistance gene profiling via a bespoke genomic analysis pipeline. Putative transmission events were identified by comparison of core genome single nucleotide polymorphisms (SNPs). Relevant clinical meta-data were combined with genomic analyses via customised automation, collated into hospital-specific reports regularly distributed to infection control teams.

RESULTS

Over 4 years (April 2017 to July 2021) 2660 isolates were sequenced. This included MDR gram-negative bacilli (n = 293 CPE, n = 1309 ESBL), MRSA (n = 620), and VRE (n = 433). A total of 379 clinical reports were issued. Core genome SNP data identified that 33% of isolates formed 76 distinct clusters. Of the 76 clusters, 43 were contained to the 3 target hospitals, suggesting ongoing transmission within the clinical environment. The remaining 33 clusters represented possible inter-hospital transmission events or strains circulating in the community. In 1 hospital, proven negligible transmission of non-multi-resistant MRSA enabled changes to infection control policy.

CONCLUSIONS

Implementation of routine WGS for MDR pathogens in clinical laboratories is feasible and can enable targeted infection prevention and control interventions.

Prevalence of healthcare-associated infections in public hospitals in New Zealand, 2021

BACKGROUND

There are no contemporary data on healthcare-associated infections (HAIs) in New Zealand.

AIMS

To determine the epidemiology of HAIs, prevalence of medical devices, and microbiology of HAIs in adults in public hospitals in New Zealand.

METHODS

Point prevalence survey. Surveyors reviewed patients aged ≥18 years using the HAI definitions of the European Centres for Disease Prevention and Control. Device use and microbiology of HAIs were recorded.

FINDINGS

In total, 5468 patients were surveyed; 361 patients (6.6%) had 423 HAIs (7.7 HAIs per 100 patients). The most common HAIs were: surgical site infections (N=104, 25%), urinary tract infections (N=80, 19%), pneumonia (N=75, 18%) and bloodstream infections (N=55, 13%). Overall, 3585 patients (66%) had at least one device, with 2922 (53%) patients having a peripheral intravenous catheter. Sixty-nine (16%) HAIs were device-associated. On multi-variable analysis, independent risk factors for HAIs included the presence of a peripheral [odds ratio (OR) 2.0] or central (OR 5.7) intravenous catheter and clinical service. HAI rates were higher in surgical patients (OR 1.8), intensive care unit patients (OR 2.6) and rehabilitation/older persons' health patients (OR 2.4) compared with general medicine patients (P≤0.01 for all groups). In total, 301 organisms were identified. Clostridioides difficile infection was uncommon, accounting for 1.7% of all HAIs. Forty-two isolates (14%) were drug-resistant, and most (N=33, 79%) were Enterobacterales.

CONCLUSION

This study established the most common HAIs and their risk factors in New Zealand. The high prevalence of device use underscores the need to ensure that proven multi-modal prevention interventions are in place. However, as less than half of HAIs are device- or surgery-associated, other intervention strategies will be required to reduce their burden.

Clinical documentation requirements for the accurate coding of hospital-acquired urinary tract infections in Australia

Aims We evaluated the accuracy of medical coders in distinguishing the aetiology of urinary tract infection according to clinical documentation. Methods The clinical documentation of patients coded as having had a hospital-acquired urinary tract infection from January to June 2020 at two Melbourne hospitals were assessed for community or hospital acquisition. Results We found that 48.89% of cases were inaccurately categorised as hospital-acquired, due to insufficient detail in clinical documentation. Risk factors for hospital-acquired urinary tract infection were present in at least 30% of correctly categorised cases. Conclusions Clinical documentation is not filled out with sufficient detail or in a timely enough manner for clinical coders to distinguish between hospital or community origin.