A Current State Assessment on Nursing Work Activities: An Observational Study.

BACKGROUND: Nationwide nursing shortages have led to higher patient-to-nurse ratios, nursing burnout, and decreased quality of care. LOCAL PROBLEM: Staffing challenges and nursing burnout were becoming growing concerns and success was contingent upon efficient use of existing resources. METHODS: Direct observation current state assessment was completed on medical-surgical specialty units to better understand work activities of registered nurses (RNs) and unlicensed assistive personnel (UAPs). RESULTS: RNs spent more time performing indirect care (eg, documentation) than direct patient care. Interruptions and problems consumed 17.4% and 5.6% of their time, respectively. UAPs performed more direct patient care but had a higher proportion of downtime. RNs underdelegated nonclinical tasks. CONCLUSIONS: Direct observation current state assessment offers a better understanding of workflow and workload inefficiencies. This information is critical to provide informed, evidence-based recommendations to develop future patient care models with more capacity to deliver high-quality care with greater efficiency and lessen nursing burden and burnout during the nursing shortage crisis.

Smoking-induced CXCL14 expression in the human airway epithelium links chronic obstructive pulmonary disease to lung cancer.

CXCL14, a recently described epithelial cytokine, plays putative multiple roles in inflammation and carcinogenesis. In the context that chronic obstructive pulmonary disease (COPD) and lung cancer are both smoking-related disorders associated with airway epithelial disorder and inflammation, we hypothesized that the airway epithelium responds to cigarette smoking with altered CXCL14 gene expression, contributing to the disease-relevant phenotype. Using genome-wide microarrays with subsequent immunohistochemical analysis, the data demonstrate that the expression of CXCL14 is up-regulated in the airway epithelium of healthy smokers and further increased in COPD smokers, especially within hyperplastic/metaplastic lesions, in association with multiple genes relevant to epithelial structural integrity and cancer. In vitro experiments revealed that the expression of CXCL14 is induced in the differentiated airway epithelium by cigarette smoke extract, and that epidermal growth factor mediates CXCL14 up-regulation in the airway epithelium through its effects on the basal stem/progenitor cell population. Analyses of two independent lung cancer cohorts revealed a dramatic up-regulation of CXCL14 expression in adenocarcinoma and squamous-cell carcinoma. High expression of the COPD-associated CXCL14-correlating cluster of genes was linked in lung adenocarcinoma with poor survival. These data suggest that the smoking-induced expression of CXCL14 in the airway epithelium represents a novel potential molecular link between smoking-associated airway epithelial injury, COPD, and lung cancer.

Circulating endothelial microparticles as a measure of early lung destruction in cigarette smokers.

RATIONALE: There is increasing evidence that emphysema is associated with primary loss of pulmonary capillary endothelium. Plasma levels of endothelial microparticles (EMPs), small vesicles released from activated or apoptotic endothelial cells, are elevated in vascular-related disorders. OBJECTIVES: To evaluate whether plasma EMP levels are elevated in smokers with early lung destruction as assessed by normal spirometry but reduced diffusing capacity of the lung for carbon monoxide (Dl(co)). METHODS: Lung health was assessed by pulmonary function tests (PFTs: spirometry, total lung capacity, Dl(co)) and chest X-ray; smoking status was assessed by urine nicotine and cotinine. EMP levels (CD42b(-)CD31(+) microparticles) were quantified as activated or apoptotic. The initial cohort (n = 92) included healthy nonsmokers (normal PFTs), healthy smokers (normal PFTs), and smokers with early evidence of lung destruction (normal spirometry, low Dl(co)). Two prospective cohorts were then tested: a group similar to the initial cohort and an HIV1(+) cohort. MEASUREMENTS AND MAIN RESULTS: Healthy smokers had mildly increased levels of EMPs. Strikingly, 95% of smokers with normal spirometry, low Dl(co) had increased EMPs, with reduced CD62(+)/CD31(+) ratios (P < 10(-4)) and elevated CD42b(-)CD31(+) annexin V(+) EMPs (P < 10(-4)), suggesting derivation from endothelial apoptosis. Most elevated EMPs were angiotensin-converting enzyme positive, suggesting derivation from pulmonary capillaries. Both prospective cohorts confirmed the initial cohort data. CONCLUSIONS: Plasma EMPs with apoptotic characteristics are elevated in smokers with normal spirometry but reduced Dl(co), consistent with the concept that emphysema is associated, in part, with capillary endothelium apoptosis, suggesting that the early development of emphysema might be monitored with plasma EMP levels.

A learning health system approach to the COVID-19 pandemic: System-wide changes in clinical practice and 30-day mortality among hospitalized patients.

Introduction: Rapid, continuous implementation of credible scientific findings and regulatory approvals is often slow in large, diverse health systems. The coronavirus disease 2019 (COVID-19) pandemic created a new threat to this common "slow to learn and adapt" model in healthcare. We describe how the University of Pittsburgh Medical Center (UPMC) committed to a rapid learning health system (LHS) model to respond to the COVID-19 pandemic. Methods: A treatment cohort study was conducted among 11 429 hospitalized patients (pediatric/adult) from 22 hospitals (PA, NY) with a primary diagnosis of COVID-19 infection (March 19, 2020 - June 6, 2021). Sociodemographic and clinical data were captured from UPMC electronic medical record (EMR) systems. Patients were grouped into four time-defined patient "waves" based on nadir of daily hospital admissions, with wave 3 (September 20, 2020 - March 10, 2021) split at its zenith due to high volume with steep acceleration and deceleration. Outcomes included changes in clinical practice (eg, use of corticosteroids, antivirals, and other therapies) in relation to timing of internal system analyses, scientific publications, and regulatory approvals, along with 30-day rate of mortality over time. Results: The mean (SD) daily number of admissions across hospitals was 26 (29) with a maximum 7-day moving average of 107 patients. System-wide implementation of the use of dexamethasone, remdesivir, and tocilizumab occurred within days of release of corresponding seminal publications and regulatory actions. After adjustment for differences in patient clinical profiles over time, each month of hospital admission was associated with an estimated 5% lower odds of 30-day mortality (adjusted odds ratio [OR] = 0.95, 95% confidence interval: 0.93-0.97, P < .001). Conclusions: In our large LHS, near real-time changes in clinical management of COVID-19 patients happened promptly as scientific publications and regulatory approvals occurred throughout the pandemic. Alongside these changes, patients with COVID-19 experienced lower adjusted 30-day mortality following hospital admission over time.

Design for Implementation of a System-Level ICU Pandemic Surge Staffing Plan.

BACKGROUND: The current coronavirus disease 2019 pandemic is causing significant strain on ICUs worldwide. Initial and subsequent regional surges are expected to persist for months and potentially beyond. As a result of this, as well as the fact that ICU provider staffing throughout the United States currently operate at or near capacity, the risk for severe and augmented disruption in delivery of care is very real. Thus, there is a pressing need for proactive planning for ICU staffing augmentation, which can be implemented in response to a local surge in ICU volumes. METHODS: We provide a description of the design, dissemination, and implementation of an ICU surge provider staffing algorithm, focusing on physicians, advanced practice providers, and certified registered nurse anesthetists at a system-wide level. RESULTS: The protocol was designed and implemented by the University of Pittsburgh Medical Center's Integrated ICU Service Center and was rolled out to the entire health system, a 40-hospital system spanning Pennsylvania, New York, and Maryland. Surge staffing models were developed using this framework to assure that local needs were balanced with system resource supply, with rapid enhancement and expansion of tele-ICU capabilities. CONCLUSIONS: The ICU pandemic surge staffing algorithm, using a tiered-provider strategy, was able to be used by hospitals ranging from rural community to tertiary/quaternary academic medical centers and adapted to meet specific needs rapidly. The concepts and general steps described herein may serve as a framework for hospital and other hospital systems to maintain staffing preparedness in the face of any form of acute patient volume surge.