Background: Little is known about strategies to implement new critical care practices in response to COVID-19. Moreover, the association between differing implementation climates and COVID-19 clinical outcomes has not been examined. The purpose of this study was to evaluate the relationship between implementation determinants and COVID-19 mortality rates.
Methods: We used mixed methods guided by the Consolidated Framework for Implementation Research (CFIR). Semi-structured qualitative interviews were conducted with critical care leaders and analyzed to rate the influence of CFIR constructs on the implementation of new care practices. Qualitative and quantitative comparisons of CFIR construct ratings were performed between hospital groups with low- versus high-mortality rates.
Results: We found associations between various implementation factors and clinical outcomes of critically ill COVID-19 patients. Three CFIR constructs (implementation climate, leadership engagement, and engaging staff) had both qualitative and statistically significant quantitative correlations with mortality outcomes. An implementation climate governed by a trial-and-error approach was correlated with high COVID-19 mortality, while leadership engagement and engaging staff were correlated with low mortality. Another three constructs (needs of patient; organizational incentives and rewards; and engaging implementation leaders) were qualitatively different across mortality outcome groups, but these differences were not statistically significant.
Conclusions: Improving clinical outcomes during future public health emergencies will require reducing identified barriers associated with high mortality and harnessing salient facilitators associated with low mortality. Our findings suggest that collaborative and engaged leadership styles that promote the integration of new yet evidence-based critical care practices best support COVID-19 patients and contribute to lower mortality.
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http://dx.doi.org/10.1017/cts.2023.22 | DOI Listing |
Pediatr Cardiol
January 2025
Division of Cardiac Critical Care, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Neonates with congenital heart disease (CHD) who undergo cardiopulmonary bypass (CPB) are at high-risk for unfavorable neurodevelopmental (ND) outcomes and are recommended for ND evaluation (NDE); however, poor rates have been reported. We aimed to identify risk factors associated with lack of NDE. This single-center retrospective observational study included neonates < 30 days old who underwent CPB and survived to discharge between 2012 and 2018.
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January 2025
Department of Respiratory and Critical Care Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Guangzhou, 510120, China.
Berberine (BBR) has been proved to inhibit the malignant progression of non-small cell lung cancer (NSCLC), but the underlying molecular mechanism still needs to be further revealed. NSCLC cells (A549 and H1299) were treated with BBR. CCK8 assay, colony formation assay, flow cytometry, TUNEL staining and transwell assay were used to examine cell proliferation, apoptosis and invasion.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Critical Care Medicine, Tongde Hospital of Zhejiang Province, #234 Gucui Road, Hangzhou, 310012, Zhejiang, People's Republic of China.
The intestinal barrier function is a critical defense mechanism in the human body, serving as both the primary target and initiating organ in cases of sepsis. Preserving the integrity of this barrier is essential for preventing complications and diseases, including sepsis and mortality. Despite this importance, the impact of resveratrol on intestinal barrier function remains unclear.
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January 2025
Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China.
China has implemented the "tiered medical services" policy since 2015, while there is a paucity of data evaluating the the current status of chronic obstructive pulmonary disease (COPD) management under the system. Characteristics and treatments from 11,905 COPD patients in 88 hospitals across different tiers in China were included and analyzed. We assessed the statistical significance of differences by one way analysis of variance (ANOVA) for continuous variables and with the chi-squared test for categorical variables.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.
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