Spatial response of urban land use intensity to ecological networks: a case study of Xi'an Metropolitan Region, China.

In the face of the persistent degradation of ecological environments and fragmentation of ecological networks brought about by rapid urbanization, this study focuses on examining the interaction between urban land use intensity and ecological networks in the Xi'an Metropolitan Region (XAMR), China, and their impact on ecological equilibrium and sustainable development. By comprehensively evaluating the changes in land use intensity in XAMR from 2010 to 2020, the aim is to underscore the pivotal role of ecological networks in maintaining urban ecological balance and promoting sustainable development. The findings indicate a transition in land use intensity in the XAMR from low to high concentration, reflecting an intensification in land resource utilization during urbanization. However, the establishment and management of ecological networks can significantly enhance urban ecological security and biodiversity. Notably, this research identified crucial ecological corridors and source areas, augmenting the connectivity of urban green infrastructure and providing vital support for urban biodiversity. Additionally, a significant finding of this study is the spatial spillover effects generated by socioeconomic factors such as the proportion of tertiary and secondary industries and per capita GDP through the ecological network, which have profound impacts on land use intensity in the surrounding areas. These insights offer a novel understanding of the complex interactions within urban ecosystems, emphasizing the importance of incorporating ecological network construction in urban planning. Overall, through a comprehensive analysis of the relationship between the ecological network and land use intensity in the XAMR, this study proposes new directions for urban ecosystem management and land use planning, highlighting the significance of scientific ecological network planning and management in achieving long-term sustainable development in urbanization processes.

The National Healthcare Safety Network's digital quality measures: CDC's automated measures for surveillance of patient safety.

OBJECTIVE: This article presents the National Healthcare Safety Network (NHSN)'s approach to automation for public health surveillance using digital quality measures (dQMs) via an open-source tool (NHSNLink) and piloting of this approach using real-world data in a newly established collaborative program (NHSNCoLab). The approach leverages Health Level Seven Fast Healthcare Interoperability Resources (FHIR) application programming interfaces to improve data collection and reporting for public health and patient safety beginning with common, clinically significant, and preventable patient harms, such as medication-related hypoglycemia, healthcare facility-onset Clostridioides difficile infection, and healthcare-associated venous thromboembolism. CONCLUSIONS: The NHSN's FHIR dQMs hold the promise of minimizing the burden of reporting, improving accuracy, quality, and validity of data collected by NHSN, and increasing speed and efficiency of public health surveillance.

An Update From the National Healthcare Safety Network on Hospital Antibiotic Stewardship Programs in the United States, 2014-2021.

Background: In 2014, the Centers for Disease Control and Prevention (CDC) released the Core Elements of Hospital Antibiotic Stewardship Programs (ASPs) and began monitoring uptake through the National Healthcare Safety Network (NHSN) Annual Hospital Survey. In 2019, CDC updated the Core Elements and in 2022 released the Priorities for Hospital Core Element Implementation. We describe Core Element uptake from 2014 to 2021, provide a snapshot of specific ASP practices in acute care hospitals in 2021, and describe how we plan to monitor stewardship moving forward. Methods: We used the NHSN Annual Hospital Survey to summarize facility demographics and ASP practices and to monitor uptake of Core Elements. Questions have been updated over time, so not all data could be compared across years. Results: Uptake of all 7 Core Elements increased from 41% in 2014 to 95% in 2021. Uptake of all 6 Priority Elements was 10% in 2021, though 46% of hospitals met 4 or 5 of the possible 6 elements. Antibiotic stewardship was specifically listed in a contract or job description for about 60% of program leaders. The percentage of physician-pharmacist co-led programs rose from 23% to 64%. Seventy-six percent of hospitals reported implementing audit with feedback interventions. Conclusions: With nearly all acute care hospitals reporting uptake of the 7 Core Elements in 2021, and with more evidence for which ASP practices are most effective, the Priorities for Hospital Core Element Implementation were released in 2022 to help enhance the quality and impact of existing ASPs.

Impact of the COVID-19 Pandemic on Inpatient Antibiotic Use in the United States, January 2019 Through July 2022.

Antimicrobial use data reported to the National Healthcare Safety Network's Antimicrobial Use and Resistance Module between January 2019 and July 2022 were analyzed to assess the impact of the COVID-19 pandemic on inpatient antimicrobial use.

Etiology and utility of hospital-onset bacteremia as a safety metric for targeted harm reduction.

BACKGROUND: Hospital acquired infections (HAIs) are a major driver of morbidity and cost in health systems. Central line-associated bloodstream infections (CLABSIs) require intensive surveillance and review. All-cause hospital-onset bacteremia (HOB) may be a simpler reporting metric, correlates with CLABSI, and is viewed positively by HAI experts. Despite the ease in the collection, the proportion of HOBs that are actionable and preventable is unknown. Moreover, quality improvement strategies targeting it may be more challenging. In this study, we describe the bedside provider-perceived sources of HOB in order to provide insight into this new metric as a target for HAI prevention. METHODS: All cases of HOBs in 2019 from an academic tertiary care hospital were retrospectively reviewed. Information was collected to assess provider-perceived etiology and associated clinical factors (microbiology, severity, mortality, and management). HOB was categorized as preventable or not preventable based on the perceived source from the care team and management decisions. Preventable causes included device-associated bacteremias, pneumonias, surgical complications, and contaminated blood cultures. RESULTS: Of the 392 instances of HOB, 56.0% (n = 220) had episodes that were determined not preventable by providers. Excluding blood culture contaminates, the most common cause of preventable HOB was secondary to CLABSIs (9.9%, n = 39). Of the HOBs that were not preventable, the most common sources were gastrointestinal and abdominal (n = 62), neutropenic translocation (n = 37), and endocarditis (n = 23). Patients with HOB were generally medically complex with an average Charlson comorbidity index of 4.97. This translated into a higher average length of stay (29.23 vs 7.56, P < .001) and higher inpatient mortality (odds ratio 8.3, confidence interval [6.32-10.77]) when compared to admissions without HOB. CONCLUSIONS: The majority of HOBs were not preventable and the HOB metric may be a marker of a sicker patient population making it a less actionable target for quality improvement. Standardization across the patient mix is important if the metric becomes linked to reimbursement. If the HOB metric were to be used in lieu of CLABSI, large tertiary care health systems that house sicker patients may be unfairly financially penalized for caring for more medically complex patients.

How do we use the National Healthcare Safety Network for Hemovigilance in Massachusetts?

BACKGROUND: Use of the National Healthcare Safety Network (NHSN) has been essential to the success of the Massachusetts Hemovigilance Program and has allowed for the timely identification of signals and trends over a defined population that correlate with national and international hemovigilance (HV) data. Here, we outline how the NHSN system is used for monitoring HV data in Massachusetts and encourage adoption of NHSN for nationwide HV surveillance. STUDY DESIGN AND METHODS: A collaboration that grew over time between local HV stakeholders and the Massachusetts Department of Public Health (MDPH) resulted in the change from a paper-based method of reporting adverse reactions and monthly transfusion activity for compliance with state requirements to replacement with statewide adoption of reporting via NHSN. RESULTS: Over 1.5 million blood products were transfused in Massachusetts between 2017 and 2021, with 3000 adverse reactions among 10 defined types reported. Using NHSN, MDPH has been able to produce numerous reports, publications, and presentations that have made previously non-obtainable HV and blood utilization data available. DISCUSSION: Although limitations to these self-reported data exist, such as lack of external validation, successful statewide implementation of NHSN for hospital blood bank reporting is possible and has benefits beyond those for regulatory oversight. It results in standardized, actionable data at both the hospital and state level, enabling inter-facility comparisons, benchmarking, and opportunities for practice improvement.

Inter-Hospital Transfer Is an Independent Risk Factor for Hospital-Associated Infection.

Background: Regionalization of surgical care shifts higher acuity patients to larger centers. Hospital-associated infections (HAIs) are important quality measures with financial implications. In our ongoing efforts to eliminate HAIs, we examined the potential role for inter-hospital transfer in our cases of HAI across a multihospital system. Hypothesis: Surgical patients transferred to a regional multihospital system have a higher risk of National Healthcare Safety Network (NHSN)-labeled HAIs. Patients and Methods: The analysis cohort of adult surgical inpatients was filtered from a five-hospital health system administration registry containing encounters from 2014 to 2021. The dataset contained demographics, health characteristics, and acuity variables, along with the NHSN defined HAIs of central line-associated blood stream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), and Clostridioides difficile infection (CDI). Univariable and multivariable statistics were performed. Results: The surgical cohort identified 92,832 patients of whom 3,232 (3.5%) were transfers. The overall HAI rate was 0.6% (528): 86 (0.09%) CLABSI, 133 (0.14%) CAUTI, and 325 (0.35%) CDI. Across the three HAIs, the rate was higher in transfer patients compared with non-transfer patients (CLABSI: n = 18 (1.3%); odds ratio [OR], 4.79; CAUTI: n = 25 (1.8%); OR, 4.20; CDI: n = 37 (1.1%); OR, 3.59); p < 0.001 for all. Multivariable analysis found transfer patients had an increased rate of HAIs (OR, 1.56; p < 0.001). Conclusions: There is an increased risk-adjusted rate of HAIs in transferred surgical patients as reflected in the NHSN metrics. This phenomenon places a burden on regional centers that accept high-risk surgical transfers, in part because of the downstream effects of healthcare reimbursement programs.

Surveillance and epidemiology of Clostridioides difficile infection using the national health surveillance network criteria: A 7-year study from Mumbai, India.

INTRODUCTION: Clostridioides difficile (CD) is a significant cause of morbidity and mortality. While considerable data is available in the developed world regarding Clostridioides difficile infection (CDI), Indian data is sparse especially using the standardized surveillance systems. AIM AND OBJECTIVES OF THE STUDY: To identify the incidence, risk factors, and mortality rate associated with CDI in a tertiary care hospital based on the Laboratory-Identified (LabID) event criteria of the Centers for Disease Control and Prevention (CDC) National Health Surveillance Network (NHSN). MATERIALS AND METHODS: During a 7- year prospective observational study, CDI was diagnosed using CD polymerase chain reaction (PCR). CDI Laboratory-Identified (LabID) events were classified using the CDC NHSN surveillance definition, and CDI incidence was calculated per 10,000 Patient Days (PDs). Clinical details were collected as part of healthcare-associated infection (HCAI) surveillance. Healthcare Facility-Onset (HO) and Community-Onset Healthcare Facility-Associated (CO-HCFA) incident CDI events were analyzed further. RESULTS: Among 898 tested stool samples, 77 CDI LabID events were observed, with 68 being Incident events. Of 68 events, 76.5% (52/68), 19.1% (13/68), and 4.4% (3/68) were HO, Community-Onset (CO), and CO-HCFA CDI events respectively. The overall incidence of CDI events was 1.66 per 10,000 PDs. Risk factors observed were antibiotics exposure (100%), comorbidities (87.3%), antacids exposure (87.3%), age over 60 years (80%), and hospitalization within the past 6 months (67.3%). The crude mortality rate was 25.5% (14/55). CONCLUSION: These findings highlight the predominance of HO-CDI and the need for further investigation into CO-CDI in the Indian context to identify at-risk populations. Utilizing standardized surveillance methods such as NHSN definitions can facilitate accurate disease burden estimation, trend monitoring, and meaningful comparisons with global data.

Infection-Related Ventilator-Associated Complication and Possible Ventilator-Associated Pneumonia among Mechanically Ventilated Patients of Adult Medical and Surgical Intensive Care Units.

Objective An observational study was conducted to evaluate (1) the incidence rates of infection-related ventilator-associated complication (IVAC) and possible ventilator-associated pneumonia (PVAP) among mechanically ventilated patients of adult medical and surgical intensive care units (ICUs) and (2) the pathogen distribution in patients with PVAP. Materials and Methods The IVAC and PVAP rates of medical and surgical ICUs, between July 1, 2017, and June 30, 2021, per 1,000 mechanical ventilator (MV) days were calculated. The significance of difference in IVAC and PVAP rates between medical and surgical ICUs was calculated. The level of significance was set at less than 0.05. Results MV utilization ratios of adult medical and surgical ICUs were 0.32 and 0.26, respectively ( p < 0.001). About 8 and 7 episodes of IVAC and 14 and 6 episodes of PVAP were reported from adult medical and surgical ICUs, accounting for IVAC rates of 3.17 and 1.8 per 1,000 MV ( p > 0.05) and PVAP rates of 2.46 and 1.59 per 1,000 MV days in medical and surgical ICUs, respectively ( p > 0.05). Acinetobacter baumannii complex either singly or in combination was isolated in 11/20 PVAP cases. Conclusion IVAC and PVAP were more in medical compared with surgical ICUs. The most common pathogen in patients with PVAP was A. baumannii complex. More studies are warranted to monitor the significance of ventilator-associated event on patient outcomes.

Decreasing Catheter-Associated Urinary Tract Infection (CAUTI) at a community academic medical center using a multidisciplinary team employing a multi-pronged approach during the COVID-19 pandemic.

In the midst of the COVID - 19 pandemic, a multidisciplinary team implemented evidence-based strategies to eliminate catheter associated urinary tract infections (CAUTI), as defined by the National Healthcare Safety Network (NHSN) surveillance definition for those units included in the NHSN standardized infection ratio. The team evaluated indwelling urinary catheters daily for indication, implemented a urinary catheter order set, established a urinary catheter insertion checklist, and promoted use of external urinary diversion devices. The facility NHSN standardized infection ratio for CAUTI was 0.37 in 2019, 0.23 in 2020, and 0.00 in 2021. A collaborative approach decreasing hospital acquired infections may be effective even in a climate of increased acuity, increased length of stay, and staffing challenges.

Surgical site infections during the COVID-19 era: A retrospective, multicenter analysis.

BACKGROUND: Surgical site infections (SSIs) are an undesired perioperative outcome. Recent studies have shown increases in hospital acquired infections during the coronavirus disease 2019 (COVID-19) pandemic. The objective of this study was to evaluate postoperative SSIs in the COVID-19-era compared to a historical cohort at a large, multicenter, academic institution. METHODS: A retrospective review of all patients who underwent National Health and Safety Network (NHSN) inpatient surgical procedures between January 1, 2018 and December 31, 2020. Patients from the COVID-19-era (March-December 2020) were compared and matched 1:1 with historical controls (2018/2019) utilizing the standardized infection ratio (SIR) to detect difference. RESULTS/DISCUSSION: During the study period, 29,904 patients underwent NHSN procedures at our institution. When patients from the matched cohort (2018/2019) were compared to the COVID-19-era cohort (2020), a decreased risk of SSI was observed following colorectal surgery (RR = 0.94, 95% CI [0.65, 1.37], P = .76), hysterectomy (RR = 0.88, 95% CI [0.39, 1.99], P = .75), and knee prothesis surgery (RR = 0.95, 95% CI [0.52, 1.74], P = .88), though not statistically significant. An increased risk of SSI was observed following hip prosthesis surgery (RR 1.09, 95% CI [0.68, 1.75], P = .72), though not statistically significant. CONCLUSIONS: The risk of SSI in patients who underwent NHSN inpatient surgical procedures in 2020 with perioperative COVID-19 precautions was not significantly different when compared to matched controls at our large, multicenter, academic institution.

Association between prevalence of laboratory-identified Clostridioides difficile infection (CDI) and antibiotic treatment for CDI in US acute-care hospitals, 2019.

OBJECTIVE: To evaluate hospital-level variation in using first-line antibiotics for Clostridioides difficile infection (CDI) based on the burden of laboratory-identified (LabID) CDI. METHODS: Using data on hospital-level LabID CDI events and antimicrobial use (AU) for CDI (oral/rectal vancomycin or fidaxomicin) submitted to the National Healthcare Safety Network in 2019, we assessed the association between hospital-level CDI prevalence (per 100 patient admissions) and rate of CDI AU (days of therapy per 1,000 days present) to generate a predicted value of AU based on CDI prevalence and CDI test type using negative binomial regression. The ratio of the observed to predicted AU was then used to identify hospitals with extreme discordance between CDI prevalence and CDI AU, defined as hospitals with a ratio outside of the intervigintile range. RESULTS: Among 963 acute-care hospitals, rate of CDI prevalence demonstrated a positive dose-response relationship with rate of CDI AU. Compared with hospitals without extreme discordance (n = 902), hospitals with lower-than-expected CDI AU (n = 31) had, on average, fewer beds (median, 106 vs 208), shorter length of stay (median, 3.8 vs 4.2 days), and higher proportion of undergraduate or nonteaching medical school affiliation (48% vs 39%). Hospitals with higher-than-expected CDI AU (n = 30) were similar overall to hospitals without extreme discordance. CONCLUSIONS: The prevalence rate of LabID CDI had a significant dose-response association with first-line antibiotics for treating CDI. We identified hospitals with extreme discordance between CDI prevalence and CDI AU, highlighting potential opportunities for data validation and improvements in diagnostic and treatment practices for CDI.

Factors related to the accurate application of NHSN surveillance definitions for CAUTI and CLABSI in Texas hospitals: A cross-sectional survey.

Previous studies indicate variability in the accurate application of National Healthcare Safety Network surveillance criteria with limited data on possible contributing factors. In this cross-sectional, convenience sampled web-based survey sent to members of Texas infection prevention and control organizations, training, experience, and time spent on surveillance was collected and assessed including 2 case studies. Our results indicate correct identification of catheter-associated urinary tract infection (CAUTI) and central line-associated bloodstream infection (CLABSI) criteria may be associated with 2019 National Healthcare Safety Network training (CAUTI: aOR = 0.17, 95% CI: 0.04, 0.80; CLABSI: aOR = 0.45, 95% CI: 0.045, 4.56) and increased years of infection prevention experience (CAUTI: aOR = 1.35, 95% CI: 0.42, 4.33; CLABSI: aOR = 1.23, 95% CI: 0.24, 6.38). Routinely performing more hours of surveillance may increase accuracy of CLABSI identification, but not CAUTI.

The Path of More Resistance: a Comparison of National Healthcare Safety Network and Clinical Laboratory Standards Institute Criteria in Developing Cumulative Antimicrobial Susceptibility Test Reports and Institutional Antibiograms.

In the absence of antimicrobial susceptibility data, the institutional antibiogram is a valuable tool to guide clinicians in the empirical treatment of infections. However, there is a misunderstanding about how best to prepare cumulative antimicrobial susceptibility testing reports (CASTRs) to guide empirical therapy (e.g., routine antibiogram) versus monitoring antimicrobial resistance, with the former following guidance from the Clinical and Laboratory Standards Institute (CLSI) and the latter from the Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN). These criteria vary markedly in their exclusion or inclusion of isolates cultured repeatedly from the same patient. We compared rates of nonsusceptibility (NS) using annual data from a large teaching health care system subset to isolates eligible by either NHSN criteria or CLSI criteria. For a panel of the three most prevalent Gram-negative pathogens in combination with clinically relevant antimicrobial agents (or priority pathogen-agent combinations [PPACs]), we found that the inclusion of duplicate isolates by NHSN criteria yielded higher NS rates than when CLSI criteria (for which duplicate isolates are not included) were applied. Patients with duplicate isolates may not be representative of antimicrobial resistance within a population. For this reason, users of CASTR data should carefully consider that the criteria used to generate these reports can impact resulting NS rates and, therefore, maintain the distinction between CASTRs created for different purposes.

Concordance between the National Healthcare Safety Network (NHSN) Surveillance Criteria and Clinical Pulmonary Infection Score (CPIS) Criteria for Diagnosis of Ventilator-associated Pneumonia (VAP).

Background: Ventilator-associated pneumonia (VAP) is one of the most common hospital-acquired infections among mechanically ventilated patients and the incidence rates are widely used as an index of quality of care given in an ICU. Since there is no gold standard method available to diagnose VAP, the incidence rate varies based on different criteria used for calculation. Therefore, we conducted a study to determine the concordance between the National Healthcare Safety Network (NHSN) surveillance criteria and clinical pulmonary infection score (CPIS) criteria for the diagnosis of VAP. Materials and methods: This was a prospective study that evaluated patients in the medical intensive care units (MICUs) of a tertiary care hospital, India, who were intubated for >48 hours between October 2018 and September 2019. All the patients (n = 273) were followed up daily and assessed using both CPIS and NHSN surveillance criteria for diagnosing VAP. Results: Of these 273 patients, 93 patients (34.1%) had VAP according to CPIS criteria as compared with 33 patients (12.1%) using the NHSN criteria. The corresponding rates of VAP were 39.59 vs 11.53 cases per 1,000 ventilator days, respectively. The agreement of the two sets of criteria was fairly good (kappa statistics, 0.42) Conclusion: The NHSN surveillance criteria have a lower sensitivity in detecting VAP cases and have to be modified to achieve better results. How to cite this article: Gunalan A, Sistla S, Sastry AS, Venkateswaran R. Concordance between the National Healthcare Safety Network (NHSN) Surveillance Criteria and Clinical Pulmonary Infection Score (CPIS) Criteria for Diagnosis of Ventilator-associated Pneumonia (VAP). Indian J Crit Care Med 2021;25(3):296-298.

Facilitators and challenges experienced by nursing homes enrolling in the CDC national health care safety network.

BACKGROUND: Standardized measurement of health care-associated infections is essential to improving nursing home (NH) resident safety, however voluntary enrollment of NHs in Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN) requires several steps. We sought to prospectively identify NH structural, process or staff characteristics that affect enrollment and data submission among a cohort of NHs receiving facilitated implementation. METHODS: The evaluation employed a mixed methods approach. The meta-theoretical Consolidated Framework for Implementation Research was used to analyze reported facilitators and challenges. Primary and secondary outcomes were time to NHSN enrollment and data submission, respectively. RESULTS: Of 36 participating NHs, 27 (75%) completed NHSN enrollment and 21 (58%) submitted 1 or more months of infection data during the 8-month study period. Mean days to complete enrollment was 82 (standard deviation [SD] = 24, range = 51-139) and days to first data submission was 112 (SD = 45, range = 71-245). Characteristics of NH staff liaisons associated with shorter time to enrollment included infection prevention and control knowledge, personal confidence, and responsibility for infection prevention and control activities. Facility characteristics were not associated with outcomes. DISCUSSION: Time to NHSN enrollment and submission related more to characteristics of the person leading the process than to characteristics of the NH. CONCLUSIONS: External partnerships that provide real-time support and resources are important assets in promoting successful NH participation in NHSN.

Emergency Communications Based on Throughput-Aware D2D Multicasting in 5G Public Safety Networks.

Emergency communications need to meet the developing demand of equipment and the complex scenarios of network in public safety networks (PSNs). Heterogeneous Cloud Radio Access Network (H-CRAN), an important technology of the 5th generation wireless systems (5G), plays an important role in PSN. H-CRAN has the features of resource sharing and centralized allocation which can make up for resource shortage in emergency communications. Therefore, an emergency communications strategy based on Device-to-device (D2D) multicast is proposed to make PSN more flexible and rapid. Nearby users can communicate directly without a base station through D2D. This strategy may guarantee high speed data transmission and stable continuous real-time communications. It is divided into three steps. Firstly, according to the distance between users, the alternative cluster head is divided. Secondly, two kinds of cluster head user selection schemes are developed. One is based on terminal power and the other is based on the number of extended users. Last but not least, the Hungarian Algorithm based on throughput-aware is used to channel multiplexing. The numerical results show that the proposed scheme can effectively extend the coverage of PSN and optimize the utilization of resources.

Implementation of the Targeted Assessment for Prevention Strategy in a healthcare system to reduce Clostridioides difficile infection rates.

BACKGROUND: Prevention of Clostridioides difficile infection (CDI) is a national priority and may be facilitated by deployment of the Targeted Assessment for Prevention (TAP) Strategy, a quality improvement framework providing a focused approach to infection prevention. This article describes the process and outcomes of TAP Strategy implementation for CDI prevention in a healthcare system. METHODS: Hospital A was identified based on CDI surveillance data indicating an excess burden of infections above the national goal; hospitals B and C participated as part of systemwide deployment. TAP facility assessments were administered to staff to identify infection control gaps and inform CDI prevention interventions. Retrospective analysis was performed using negative-binomial, interrupted time series (ITS) regression to assess overall effect of targeted CDI prevention efforts. Analysis included hospital-onset, laboratory-identified C. difficile event data for 18 months before and after implementation of the TAP facility assessments. RESULTS: The systemwide monthly CDI rate significantly decreased at the intervention (ß2, -44%; P = .017), and the postintervention CDI rate trend showed a sustained decrease (ß1 + ß3; -12% per month; P = .008). At an individual hospital level, the CDI rate trend significantly decreased in the postintervention period at hospital A only (ß1 + ß3, -26% per month; P = .003). CONCLUSIONS: This project demonstrates TAP Strategy implementation in a healthcare system, yielding significant decrease in the laboratory-identified C. difficile rate trend in the postintervention period at the system level and in hospital A. This project highlights the potential benefit of directing prevention efforts to facilities with the highest burden of excess infections to more efficiently reduce CDI rates.

Problematic Risk Adjustment in National Healthcare Safety Network Measures.

This article reviews the risk-adjustment models underpinning the National Healthcare Safety Network (NHSN) standardized infection ratios. After first describing the models, the authors focus on hospital intensive care unit (ICU) designation as a variable employed across the various risk models. The risk-adjusted frequency with which ICU services are reported in Medicare fee-for-service claims data was compared as a proxy for determining whether reporting of ICU days is similar across hospitals. Extreme variation was found in the reporting of ICU utilization among admissions for congestive heart failure, ranging from 25% in the lowest admission hospital quartile to 95% in the highest. The across-hospital variation in reported ICU utilization was found to be unrelated to patient severity. Given that such extreme variation appears in a designation of ICU versus non-ICU utilization, the NHSN risk-adjustment models' dependence on nursing unit designation should be a cause for concern.

Scrubbing technique and surgical site infections: an analysis of 14,200 neurosurgical cases.

OBJECTIVE: The preoperative scrub has been shown to lower the incidence of surgical site infections (SSIs). Various scrubbing and gloving techniques exist; however, it is unknown how specific scrubbing technique influences SSI rates in neurosurgery. The authors aimed to assess whether the range of scrubbing practice in neurosurgery is associated with the incidence of SSIs. METHODS: The authors conducted a retrospective review of a prospectively maintained database to identify all 90-day SSIs for neurosurgical procedures between 2012 and 2017 at one of their teaching hospitals. SSIs were classified by procedure type (craniotomy, shunt, fusion, or laminectomy). Surveys were administered to attending and resident physicians to understand the variation in scrubbing methods (wet vs dry, iodine vs chlorhexidine, single vs double glove). The chi-square followed by multivariate logistic regression analyses were utilized to identify independent predictors of SSI. RESULTS: Forty-two operating physicians were included in the study (18 attending physicians, 24 resident physicians), who performed 14,200 total cases. Overall, SSI rates were 2.1% (296 SSIs of 14,200 total cases) and 2.0% (192 of 9,669 cases) for attending physicians and residents, respectively. Shunts were independently associated with an increased risk of SSI (OR 1.7 [95% CI 1.3-2.1]), whereas laminectomies were associated with a decreased SSI risk (OR 0.4 [95% CI 0.2-0.8]). Wet versus dry scrub (OR 0.9 [95% CI 0.6-1.4]), iodine versus chlorhexidine (OR 0.6 [95% CI 0.4-1.1]), and single- versus double-gloving (OR 1.1 [95% CI 0.8-1.4]) preferences were not associated with SSIs. CONCLUSIONS: There is no evidence to suggest that perioperative infection is associated with personal scrubbing or gloving preference in neurosurgical procedures.