Background: Empirical evidence is limited that root cause analysis (RCA), an event analysis tool used in health care to evaluate the systemic factors that lead to adverse events, improves patient safety. A cross-sectional study was conducted to examine the relationship between RCA and patient safety.
Methods: RCA data were collected for the 139 Department of Veteran Affairs medical centers (VAMCs) in the National Center for Patient Safety database from 2004 through 2006. Participants were divided into three RCA utilization categories on the basis of their yearly RCA rate: (1) fewer than 4 RCAs, (2) 4 to 5 RCAs, and (3) 6 or more RCAs per year. An analysis of variance was conducted of each Agency for Healthcare Research and Quality Patient Safety Indicators (PSIs) across the three RCA utilization categories.
Results: Facilities completed between 3 and 59 RCAs in the three-year period (mean RCA utilization rate, 4.86 RCAs per year). In this period, RCA actions by facility ranged from 9 to 323 (mean, 28 actions per year per facility). Mean patient-days of care, facility budget, surgical volume, and the number of strong improvement actions were significantly different across RCA utilization categories. The mean rates of PSI 9 (Postoperative Hemorrhage or Hematoma), PSI 10 (Postoperative Physiologic and Metabolic Derangements), and PSI 13 (Postoperative Sepsis) were significantly different across RCA utilization categories.
Conclusions: Large, high-spending VAMCs conduct more RCAs per year than smaller, low-spending facilities. VAMCs that do more RCAs develop more corrective actions. VAMCs that complete fewer than four RCAs per year have higher rates of postoperative complications. It is unclear if RCAs are associated with a functional patient safety program or directly improve patient safety.
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http://dx.doi.org/10.1016/s1553-7250(13)39006-0 | DOI Listing |
Arq Bras Oftalmol
January 2025
Department of Ophthalmology and Visual Sciences, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Purpose: This study aimed to report the use, efficacy, and safety of intracameral voriconazole as an adjuvant treatment for deep fungal keratitis.
Methods: This was a prospective case series of seven eyes with fungal keratitis with anterior chamber involvement or a corneal ulcer refractory to conventional topical treatment. In addition to topical treatment with 0.
Sci Transl Med
January 2025
Department of Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Pancreatic ductal adenocarcinoma (PDAC) driven by the mutation presents a formidable health challenge because of limited treatment options. MRTX1133 is a highly selective and first-in-class KRAS-G12D inhibitor under clinical development. Here, we report that the advanced glycosylation end product-specific receptor (AGER) plays a key role in mediating MRTX1133 resistance in PDAC cells.
View Article and Find Full Text PDFPLoS One
January 2025
European IPF/ILD Registry and Biobank (eurIPFreg/bank, eurILDreg/bank), Giessen, Germany.
Background And Aims: Predicting progression and prognosis in Interstitial Lung Diseases (ILD), especially Idiopathic Pulmonary Fibrosis (IPF) and Progressive Pulmonary Fibrosis (PPF), remains a challenge. Integrating patient-centered measurements is essential for earlier and safer detection of disease progression. Home monitoring through e-health technologies, such as spirometry and oximetry connected to smartphone applications, holds promise for early detection of ILD progression or acute exacerbations, enabling timely therapeutic interventions.
View Article and Find Full Text PDFPLOS Digit Health
January 2025
ICES, Toronto, Ontario, Canada.
The objective was to compare specialty-specific 7- and 30-day outcomes between virtual care visits and in-person visits which occurred during the SARS-CoV-2 pandemic. Using administrative data from provincial databases in Ontario, ambulatory care visits occurring virtually and in-person during specific timeframes within the pandemic were analyzed. Virtual care visits were matched with corresponding in-person visits based on multiple baseline patient characteristics.
View Article and Find Full Text PDFBr J Radiol
January 2025
2nd Department of Radiology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, Greece.
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnostic techniques and personalised medicine. This is also seen in osseous biopsies. AI applications in radiomics, histopathology, predictive modelling, biopsy navigation, and interdisciplinary communication are reshaping how bone biopsies are conducted and interpreted.
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