Patients tested for Clostridioides difficile infection (CDI) using a 2-step algorithm with a nucleic acid amplification test (NAAT) followed by toxin assay are not reported to the National Healthcare Safety Network as a laboratory-identified CDI event if they are NAAT positive (+)/toxin negative (−). We compared NAAT+/toxin− and NAAT+/toxin+ patients and identified factors associated with CDI treatment among NAAT+/toxin− patients.

Retrospective observational study.

The study was conducted across 36 laboratories at 5 Emerging Infections Program sites.

We defined a CDI case as a positive test detected by this 2-step algorithm during 2018–2020 in a patient aged ≥1 year with no positive test in the previous 8 weeks.

We used multivariable logistic regression to compare CDI-related complications and recurrence between NAAT+/toxin− and NAAT+/toxin+ cases. We used a mixed-effects logistic model to identify factors associated with treatment in NAAT+/toxin− cases.

Of 1,801 cases, 1,252 were NAAT+/toxin−, and 549 were NAAT+/toxin+. CDI treatment was given to 866 (71.5%) of 1,212 NAAT+/toxin− cases versus 510 (95.9%) of 532 NAAT+/toxin+ cases (P < .0001). NAAT+/toxin− status was protective for recurrence (adjusted odds ratio [aOR], 0.65; 95% CI, 0.55–0.77) but not CDI-related complications (aOR, 1.05; 95% CI, 0.87–1.28). Among NAAT+/toxin− cases, white blood cell count ≥15,000/µL (aOR, 1.87; 95% CI, 1.28–2.74), ≥3 unformed stools for ≥1 day (aOR, 1.90; 95% CI, 1.40–2.59), and diagnosis by a laboratory that provided no or neutral interpretive comments (aOR, 3.23; 95% CI, 2.23–4.68) were predictors of CDI treatment.

Use of this 2-step algorithm likely results in underreporting of some NAAT+/toxin− cases with clinically relevant CDI. Disease severity and laboratory interpretive comments influence treatment decisions for NAAT+/toxin− cases.

Patient hands’ contribution to disease transmission in healthcare settings is an important, understudied topic. We assessed correlation between patient functional dependence and hand contamination with multi-drug resistant organisms (MDROs) in acute-care settings.

Secondary, cross-sectional analyses of 399 general medicine patients enrolled in two tertiary-care hospitals over a six-month period. Our predictor was patient functional status evaluated using Katz Activities of Daily Living scale, scored as follows: functionally independent (scored 0), moderately dependent (score 1–3), and severely dependent (score of 4 or more). Our outcome was patient hand contamination with MDROs, including methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus, and resistant gram-negative bacteria.

Of 399 patients, 298 were functionally independent, 45 were moderately dependent, and 56 were severely dependent. Odds of MDRO hand contamination were 2.63 (95% CI, 1.21–5.72) times higher in the severely dependent category compared to the independent category. Patients with feeding dependence had the highest odds of hand contamination with MDROs (OR 4.76, 95% CI, 1.54–14.71), followed by continence, dressing, and toileting. In addition to patient colonization, environmental contamination with MRSA was associated with patient function, with odds 2.60 (95% CI, 1.16–5.82) times higher in severely dependent patients.

Patients with severe functional dependence are more likely to harbor MDROs on their hands and less likely to be able to cleanse them independently. Functionally dependent patients have high room contamination with MDROs. Patient hand hygiene interventions in the hospital should target this high-risk group.

The 2014 US National Strategy for Combating Antibiotic-Resistant Bacteria (CARB) aimed to reduce inappropriate inpatient antibiotic use by 20% for monitored conditions, such as community-acquired pneumonia (CAP), by 2020. We evaluated annual trends in length of therapy (LOT) in adults hospitalized with uncomplicated CAP from 2013 through 2020.

We conducted a retrospective cohort study among adults with a primary diagnosis of bacterial or unspecified pneumonia using International Classification of Diseases Ninth and Tenth Revision codes in MarketScan and the Centers for Medicare & Medicaid Services databases. We included patients with length of stay (LOS) of 2–10 days, discharged home with self-care, and not rehospitalized in the 3 days following discharge. We estimated inpatient LOT based on LOS from the PINC AI Healthcare Database. The total LOT was calculated by summing estimated inpatient LOT and actual postdischarge LOT. We examined trends from 2013 to 2020 in patients with total LOT >7 days, which was considered an indicator of likely excessive LOT.

There were 44,976 and 400,928 uncomplicated CAP hospitalizations among patients aged 18–64 years and ≥65 years, respectively. From 2013 to 2020, the proportion of patients with total LOT >7 days decreased by 25% (68% to 51%) among patients aged 18–64 years and by 27% (68%–50%) among patients aged ≥65 years.

Although likely excessive LOT for uncomplicated CAP patients decreased since 2013, the proportion of patients treated with LOT >7 days still exceeded 50% in 2020. Antibiotic stewardship programs should continue to pursue interventions to reduce likely excessive LOT for common infections.

To evaluate the comparative epidemiology of hospital-onset bloodstream infection (HOBSI) and central line-associated bloodstream infection (CLABSI)

Retrospective observational study of HOBSI and CLABSI across a three-hospital healthcare system from 01/01/2017 to 12/31/2021

HOBSIs were identified as any non-commensal positive blood culture event on or after hospital day 3. CLABSIs were identified based on National Healthcare Safety Network (NHSN) criteria. We performed a time-series analysis to assess comparative temporal trends among HOBSI and CLABSI incidence. Using univariable and multivariable regression analyses, we compared demographics, risk factors, and outcomes between non-CLABSI HOBSI and CLABSI, as HOBSI and CLABSI are not exclusive entities.

HOBSI incidence increased over the study period (IRR 1.006 HOBSI/1,000 patient days; 95% CI 1.001–1.012; P = .03), while no change in CLABSI incidence was observed (IRR .997 CLABSIs/1,000 central line days, 95% CI .992–1.002, P = .22). Differing demographic, microbiologic, and risk factor profiles were observed between CLABSIs and non-CLABSI HOBSIs. Multivariable analysis found lower odds of mortality among patients with CLABSIs when adjusted for covariates that approximate severity of illness (OR .27; 95% CI .11–.64; P < .01).

HOBSI incidence increased over the study period without a concurrent increase in CLABSI in our study population. Furthermore, risk factor and outcome profiles varied between CLABSI and non-CLABSI HOBSI, which suggest that these metrics differ in important ways worth considering if HOBSI is adopted as a quality metric.

We sought to validate available tools for predicting recurrent C. difficile infection (CDI) including recurrence risk scores (by Larrainzar-Coghen, Reveles, D’Agostino, Cobo, and Eyre et al) alongside consensus guidelines risk criteria, the leading severity score (ATLAS), and PCR cycle threshold (as marker of fecal organism burden) using electronic medical records.

Retrospective cohort study validating previously described tools.

Tertiary care academic hospital.

Hospitalized adult patients with CDI at University of Virginia Medical Center.

Risk scores were calculated within ±48 hours of index CDI diagnosis using a large retrospective cohort of 1,519 inpatient infections spanning 7 years and compared using area under the receiver operating characteristic curve (AUROC) and the DeLong test. Recurrent CDI events (defined as a repeat positive test or symptom relapse within 60 days requiring retreatment) were confirmed by clinician chart review.

Reveles et al tool achieved the highest AUROC of 0.523 (and 0.537 among a subcohort of 1,230 patients with their first occurrence of CDI), which was not substantially better than other tools including the current IDSA/SHEA C. difficile guidelines or PCR cycle threshold (AUROC: 0.564), regardless of prior infection history.

All tools performed poorly for predicting recurrent C. difficile infection (AUROC range: 0.488–0.564), especially among patients with a prior history of infection (AUROC range: 0.436–0.591). Future studies may benefit from considering novel biomarkers and/or higher-dimensional models that could augment or replace existing tools that underperform.

To examine time trends of hospital-associated infections (HAIs) in people living in the Brussels–Capital Region, and to evaluate the consequences for hospitals and long-term care facilities (LTCFs).

Cross-sectional analyses of yearly hospital administrative data.

All Belgian hospitals and discharge destinations, focusing on LTCFs.

All individuals from the Brussels–Capital Region hospitalized for >1 day throughout Belgium between 2008 and 2020 (N = 1,915,572).

We calculated HAI prevalences and then, adjusting for confounders, the odds of being discharged to a LTCF or being readmitted within 30 days postdischarge after an HAI. HAIs included hospital-associated bloodstream infections, hospital-associated urinary tract infections, hospital-associated pneumonia, ventilator-associated pneumonia, and surgical-site infections.

Between 2008 and 2020, we identified 77,004 HAIs. Changes in time trends occurred. We observed a decrease of all HAIs from 2012 to 2014 from 5.17% to 2.19% (P < .001) and an increase from 2019 to 2020 from 3.38% to 4.06% (P < .001). Among patients with HAIs, 24.36% were discharged to LTCFs and 13.51% underwent early readmission. For stays ≥4 days, HAIs were associated with higher odds of LTCF discharge (adjusted odds ratio [aOR], 1.25; 95% confidence interval [CI], 1.22–1.28), but with lesser odds of early readmission (aOR, 0.88; 95% CI, 0.85–0.90).

Administrative data can be useful to detect HAIs trends, but they seem to underestimate the burden compared to surveillance systems. Risk factors of readmission should be identified during hospital stays to ensure continuity of care. Considering the results from 2020 coinciding with the COVID-19 pandemic, monitoring the impact of HAIs should continue.

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

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).

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.

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.

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.

To examine differences in risk factors and outcomes of patients undergoing colon surgery in level 1 trauma centers versus other hospitals and to investigate the potential financial impact of these reportable infections.

Retrospective cohort study between 2015 and 2022.

Large public healthcare system in New York City.

All patients undergoing colon surgery; comparisons were made between (1) all patients undergoing colon surgery at the level 1 trauma centers versus patients at the other hospitals and (2) the nontrauma and trauma patients at the level 1 trauma centers versus the nontrauma patients at other hospitals.

Of 5,217 colon surgeries reported, 3,531 were at level 1 trauma centers and 1686 at other hospitals. Patients at level 1 trauma centers had significantly increased American Society of Anesthesiology (ASA) scores, durations of surgery, rates of delayed wound closure, and rates of class 4 wounds, resulting in higher SIRs (1.1 ± 0.15 vs 0.75 ± 0.18; P = .0007) compared to the other hospitals. Compared to the nontrauma patients at the other hospitals, both the nontrauma and trauma patients at the level 1 trauma centers had higher ASA scores, rates of delayed wound closure, and of class 4 wounds. The SIRs of the nontrauma patients (1.16 ± 1.29; P = .008) and trauma patients (1.26 ± 2.69; P = .066) at the level 1 trauma center were higher than the SIRs of nontrauma patients in the other hospitals (0.65 ± 1.18).

Patients undergoing colon surgery at level 1 trauma centers had increased complexity of surgery compared to the patients in other hospitals. Until there is appropriate adjustment for these risk factors, the use of infections following colon surgery as a reportable quality measure should be re-evaluated.

National validation of claims-based surveillance for surgical-site infections (SSIs) following colon surgery and abdominal hysterectomy.

Retrospective cohort study.

US hospitals selected for data validation by Centers for Medicare & Medicaid Services (CMS).

The study included 550 hospitals performing colon surgery and 458 hospitals performing abdominal hysterectomy in federal fiscal year 2013.

We requested 1,200 medical records from hospitals selected for validation as part of the CMS Hospital Inpatient Quality Reporting program. For colon surgery, we sampled 60% with a billing code suggestive of SSI during their index admission and/or readmission within 30 days and 40% who were readmitted without one of these codes. For abdominal hysterectomy, we included all patients with an SSI code during their index admission, all patients readmitted within 30 days, and a sample of those with a prolonged surgical admission (length of stay > 7 days). We calculated sensitivity and positive predictive value for the different groups.

We identified 142 colon-surgery SSIs (46 superficial SSIs and 96 deep and organ-space SSIs) and 127 abdominal-hysterectomy SSIs (58 superficial SSIs and 69 deep and organ-space SSIs). Extrapolating to the full CMS data validation cohort, we estimated an SSI rate of 8.3% for colon surgery and 3.0% for abdominal hysterectomy. Our colon-surgery surveillance codes identified 93% of SSIs, with 1 SSI identified for every 2.6 patients reviewed. Our abdominal-hysterectomy surveillance codes identified 73% of SSIs, with 1 SSI identified for every 1.6 patients reviewed.

Using claims to target record review for SSI validation performed well in a national sample.

To explore infection preventionists’ perceptions of hospital leadership support for infection prevention and control programs during the coronavirus disease 2019 (COVID-19) pandemic and relationships with individual perceptions of burnout, psychological safety, and safety climate.

Cross-sectional survey, administered April through December 2021.

Random sample of non-federal acute-care hospitals in the United States.

Lead infection preventionists.

We received responses from 415 of 881 infection preventionists, representing a response rate of 47%. Among respondents, 64% reported very good to excellent hospital leadership support for their infection prevention and control program. However, 49% reported feeling burned out from their work. Also, ∼30% responded positively for all 7 psychological safety questions and were deemed to have “high psychological safety,” and 76% responded positively to the 2 safety climate questions and were deemed to have a “high safety climate.” Our results indicate an association between strong hospital leadership support and lower burnout (IRR, 0.61; 95% CI, 0.50–0.74), higher perceptions of psychological safety (IRR, 3.20; 95% CI, 2.00–5.10), and a corresponding 1.2 increase in safety climate on an ascending Likert scale from 1 to 10 (β, 1.21; 95% CI, 0.93–1.49).

Our national survey provides evidence that hospital leadership support may have helped infection preventionists avoid burnout and increase perceptions of psychological safety and safety climate during the COVID-19 pandemic. These findings aid in identifying factors that promote the well-being of infection preventionists and enhance the quality and safety of patient care.

Universal masking within healthcare settings was adopted to combat the spread of coronavirus disease 2019 (COVID-19). In addition to mitigating the risk for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, it also had an added benefit of preventing the nosocomial transmission of other respiratory viral diseases.

This study examines the impact of the masking intervention on nosocomial respiratory viral infections (RVI) in vulnerable sub-populations of people with cancer at a tertiary care hospital.

Interrupted time series analysis.

We reviewed non-SARS-CoV-2 nosocomial RVI between January 1, 2017 and December 31, 2023 and compared its quarterly trends before (January 2017 to March 2020) and after (April 2020 to December 2023) the universal masking intervention was implemented.

Prior to the masking policy, there was no significant change in the quarterly rate of non-SARS-CoV-2 nosocomial RVI (baseline trend: P = 0.662). Crude infection rates decreased from 5.6% preintervention to 4.3% after the masking policy was implemented (P < 0.001). Quarterly trends continued to steadily decline post-intervention (β = −0.10, SE = 0.04, P < 0.007).

Our results suggest that universal face masking is associated with reduced non-SARS-CoV-2 nosocomial RVI, providing further evidence to support the continued use of face masks in healthcare settings to protect the health of immunocompromised patients.

To evaluate the performance of a comorbidity-based risk-adjustment model for surgical-site infection (SSI) reporting and benchmarking using a panel of variables extracted from the hospital discharge database (HDD), including comorbidities, compared to other models that use variables from different data sources.

The French national surveillance program for SSI (SPICMI) has collected data from voluntary hospitals in the first 6 months of 2020 and 2021, for 16 selected surgery procedures, using a semiautomated algorithm for detection. Four risk-adjustment models were selected with logistic regression analysis, combining the different patterns of variables: National Nosocomial Infections Surveillance System (NNIS) risk-index components, individual operative data, and 6 individual comorbidities according to International Classification of Disease, Tenth Revision (ICD-10) diagnosis: obesity, diabetes, malnutrition, hypertension, cancer, or immunosuppression. Areas under the curve (AUCs) were calculated and compared.

Overall, 294 SSI were detected among 11,975 procedures included. All 6 comorbidities were related to SSI in the univariate analysis. The AUC of the selected model including comorbidities (0.675; 95% confidence interval [CI], 0.642–0.707), was significantly higher than the AUC of the model without comorbidities (0.641; 95% CI, 0.609–0.672; P = .016) or the AUC using the NNIS-index components (0.598; 95% CI, 0.564–0.630; P < .001). The HDD-based model AUC (0.659; 95% CI, 0.625–0.692) did not differ significantly from the selected model without comorbidities (P = .23).

Including HDD-based comorbidities as patient case-mix variables instead of NNIS risk index factors could be an effective approach for risk-adjustment of automated SSI surveillance more widely accessible to hospitals.

Candida auris is an emerging fungal pathogen increasingly recognized as a cause of healthcare-associated infections including outbreaks.

We performed a mixed-methods study to characterize the emergence of C. auris in the state of Maryland from 2019 to 2022, with a focus on socioeconomic vulnerability and infection prevention opportunities. We describe all case-patients of C. auris among Maryland residents from June 2019 to December 2021 detected by Maryland Department of Health. We compared neighborhood socioeconomic characteristics of skilled nursing facilities (SNFs) with and without C. auris transmission outbreaks using both the social vulnerability index (SVI) and the area deprivation index (ADI). The SVI and the ADI were obtained at the state level, with an SVI ≥ 75th percentile or an ADI ≥ 80th percentile considered severely disadvantaged. We summarized infection control assessments at SNFs with outbreaks using a qualitative analysis.

A total of 140 individuals tested positive for C. auris in the study period in Maryland; 46 (33%) had a positive clinical culture. Sixty (43%) were associated with a SNF, 37 (26%) were ventilated, and 87 (62%) had a documented wound. Separate facility-level neighborhood analysis showed SNFs with likely C. auris transmission were disproportionately located in neighborhoods in the top quartile of deprivation by the SVI, characterized by low socioeconomic status and high proportion of racial/ethnic minorities. Multiple infection control deficiencies were noted at these SNFs.

Neighborhood socioeconomic vulnerability may contribute to the emergence and transmission of C. auris in a community.

Estimate the risk for household transmission of Methicillin-Resistant Staphylococcus aureus (MRSA) following exposure to infected family members or family members recently discharged from a hospital.

Analysis of monthly MRSA incidence from longitudinal insurance claims using the Merative MarketScan Commercial and Medicare (2001–2021) databases.

Visits to inpatient, emergency department, and outpatient settings.

Households with ≥2 family members enrolled in the same insurance plan for the entire month.

We estimated a monthly incidence model, where enrollees were binned into monthly enrollment strata defined by demographic, patient, and exposure characteristics. Monthly incidence within each stratum was computed, and a regression analysis was used to estimate the incidence rate ratio (IRR) associated with household exposures of interest while accounting for potential confounding factors.

A total of 157,944,708 enrollees were included and 424,512 cases of MRSA were identified. Across all included enrollees, exposure to a family member with MRSA in the prior 30 days was associated with significantly increased risk of infection (IRR: 71.03 [95% CI, 67.73–74.50]). After removing enrollees who were hospitalized or exposed to a family member with MRSA, exposure to a family member who was recently discharged from the hospital was associated with increased risk of infection (IRR: 1.44 [95% CI, 1.39–1.49]) and the risk of infection increased with the duration of the family member’s hospital stay (P value < .001).

Exposure to a recently hospitalized and discharged family member increased the risk of MRSA infection in a household even when the hospitalized family member was not diagnosed with MRSA.

To determine whether residing in a hospital bed that previously held an occupant with Clostridioides difficile increases the risk of hospital-onset C. difficile infection (HO-CDI).

In this retrospective cohort study, we used a real-time location system to track the movement of hospital beds in 2 academic hospitals from April 2018 to August 2019. We abstracted patient demographics, clinical characteristics, and C. difficile polymerase chain reaction (PCR) results from the medical record. We defined patients as being exposed to a potentially “contaminated” bed or room if, within the preceding 7 days from their HO-CDI diagnosis, they resided in a bed or room respectively, that held an occupant with C. difficile in the previous 90 days. We used multivariable logistic regression to determine whether residing in a contaminated bed was associated with HO-CDI after controlling for time at risk and requiring intensive care. We assessed mediation and interaction from a contaminated hospital room.

Of 25,032 hospital encounters with 18,860 unique patients, we identified 237 cases of HO-CDI. Exposure to a contaminated bed was associated with HO-CDI in unadjusted analyses (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.4–2.31) and adjusted analyses (OR, 1.5; 95% CI, 1.2–2.0). Most of this effect was due to both mediation from and interaction with a contaminated hospital room.

Residing in a hospital bed or room that previously had a patient with C. difficile increases the risk of HO-CDI. Increased attention to cleaning and disinfecting the healthcare environment may reduce hospital transmission of C. difficile.

Develop and implement a system in the Veterans Health Administration (VA) to alert local medical center personnel in real time when an acute- or long-term care patient/resident is admitted to their facility with a history of colonization or infection with a multidrug-resistant organism (MDRO) previously identified at any VA facility across the nation.

An algorithm was developed to extract clinical microbiology and local facility census data from the VA Corporate Data Warehouse initially targeting carbapenem-resistant Enterobacterales (CRE) and methicillin-resistant Staphylococcus aureus (MRSA). The algorithm was validated with chart review of CRE cases from 2010-2018, trialed and refined in 24 VA healthcare systems over two years, expanded to other MDROs and implemented nationwide on 4/2022 as “VA Bug Alert” (VABA). Use through 8/2023 was assessed.

VABA performed well for CRE with recall of 96.3%, precision of 99.8%, and F1 score of 98.0%. At the 24 trial sites, feedback was recorded for 1,011 admissions with a history of CRE (130), MRSA (814), or both (67). Among Infection Preventionists and MDRO Prevention Coordinators, 338 (33%) reported being previously unaware of the information, and of these, 271 (80%) reported they would not have otherwise known this information. By fourteen months after nationwide implementation, 113/130 (87%) VA healthcare systems had at least one VABA subscriber.

A national system for alerting facilities in real-time of patients admitted with an MDRO history was successfully developed and implemented in VA. Next steps include understanding facilitators and barriers to use and coordination with non-VA facilities nationwide.

To determine whether removal of default duration, embedded in electronic prescription (e-script), influenced antibiotic days of therapy.

Interrupted time-series analysis.

The study was conducted across 2 community hospitals, 1 academic hospital, 3 emergency departments, and 86 ambulatory clinics.

Adults prescribed a fluoroquinolone with a duration <31 days.

Removal of standard 10-day fluoroquinolone default duration and addition of literature-based duration guidance in the order entry on December 19, 2017. The study period included data for 12 months before and after the intervention.

The study included 35,609 fluoroquinolone e-scripts from the preintervention period and 31,303 fluoroquinolone e-scripts from the postintervention period, accounting for 520,388 cumulative fluoroquinolone DOT. Mean durations before and after the intervention were 7.8 (SD, 4.3) and 7.7 (SD, 4.5), a nonsignificant change. E-scripts with a 10-day duration decreased prior to and after the default removal. The inpatient setting showed a significant 8% drop in 10-day e-scripts after default removal and a reduced median duration by 1 day; 10-day scripts declined nonsignificantly in ED and ambulatory settings. In the ambulatory settings, both 7- and 14-day e-script durations increased after default removal.

Removal of default 10-day antibiotic durations did not affect overall mean duration but did shift patterns in prescribing, depending on practice setting. Stewardship interventions must be studied in the context of practice setting. Ambulatory stewardship efforts separate from inpatient programs are needed because interventions cannot be assumed to have similar effects.

Assess healthcare workers’ (HCW) attitudes toward universal masking, and gowns and gloves used as part of transmission-based precautions.

Cross-sectional survey.

Academic, tertiary care medical center in Baltimore, Maryland.

HCW who work in patient care areas and have contact with patients.

In May 2023, a 15-question web-based survey was distributed by the hospital’s communications team via email. The survey contained questions to assess HCW perceptions of universal masking policies prior to the availability of COVID-19 vaccines and at the time of the survey, and the use of gowns and gloves for transmission-based precautions. Descriptive statistics were used to summarize data. Differences in agreement with universal masking over time, level of agreement with gown and glove policies, and with all PPE types across respondent characteristics were assessed.

257 eligible respondents completed the survey. Nurses and patient care technicians (43%) and providers (17%) were the most commonly reported roles. Agreement with universal mask use decreased from 84% early in the pandemic to 55% at the time of the survey. 70% and 72% of HCW agreed masks protect themselves and others, respectively. 63% expressed any level of annoyance with mask wearing, the most often due to communication challenges or physical discomfort. 75% agreed with gown use for antibiotic-resistant bacteria compared with 90% for glove use.

The majority of HCW agree with the use of PPE to prevent pathogen transmission in the healthcare setting. Agreement with universal mask use for patient care shifted during the COVID-19 pandemic.

Patient safety organizations and researchers describe hospital-acquired pneumonia (HAP) as a largely preventable hospital-acquired infection that affects patient safety and quality of care. We provide evidence regarding the consequences of HAP among 2019 Medicare beneficiaries.

Retrospective case–control study.

Calendar year 2019 Medicare beneficiaries with HAP during an initial hospitalization, defined by International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding on inpatient claims (n = 2,457). Beneficiaries with HAP were matched using diagnosis-related group (DRG) codes with beneficiaries who did not experience HAP (n = 2,457).

The 2019 calendar year Medicare 5% Standard Analytic Files (SAF), for inpatient, outpatient, physician, and all postacute hospital settings. The case group (HAP) and control group (non-HAP) were matched on disease severity, age, sex, and race and were compared for hospital length of stay, costs, and mortality during the initial hospitalization and across settings for 30, 60, and 90 days after discharge. The 2019 fiscal year MedPAR Claims data were used to determine Medicare costs.

Medicare beneficiaries with HAP were 2.8 times more likely to die within 90 days compared with matched beneficiaries who did not develop HAP. Among those who survived, beneficiaries with HAP spent 6.6 more days in the hospital (69%) and cost the Medicare program an average of $14,487 (24%) more per episode of care across initial inpatient and postdischarge services.

The findings of higher mortality and cost among Medicare beneficiaries who develop HAP suggest that HAP prevention should be prioritized as a patient safety and quality initiative for the Medicare program.