Medical errors are the third-leading cause of death in the United States. One of the problems is timely recognition and management of inappropriate health care worker behaviors that lead to intimidation and loss of staff focus, eventually leading to errors. The purpose of this qualitative modified Delphi study was to seek consensus among a panel of experts in hospital risk management practices on the practical methods for early detection of inappropriate behaviors among hospital staff, which may be used by hospital managers to considerably mitigate the risk of medical mishaps. High reliability theory guided the research process, utilizing the conceptual framework of the fair and just culture patient safety model. A single research question asked what level of consensus exists among hospital risk management experts as to the practical methods for early detection of inappropriate behavior among hospital staff, which managers may use to ultimately mitigate the risk of preventable medical mishaps. This study included nonprobability purposive sampling (n = 34) and three rounds of questionnaires. Consensus was reached on 8 factors: setting expectations, developing a culture of respect, holding staff accountable, enforcing a zero-tolerance policy, confidentiality of reporting, communicating expected behavior, open communication, and investigating inappropriate behaviors.
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http://dx.doi.org/10.1002/jhrm.21349 | DOI Listing |
Lancet Reg Health West Pac
January 2025
Oxford University Clinical Research Unit (OUCRU), National Hospital for Tropical Diseases, 78 Giai Phong, Dong Da District, Hanoi, Viet Nam.
Background: Beta-lactams remain the first-line treatment of infections despite the increasing global prevalence of penicillin-resistant/non-susceptible strains. We conducted a cross-sectional household survey in a rural community in northern Vietnam in 2018-2019 to provide prevalence estimates of penicillin non-susceptible (PNSP) carriage and to investigate behavioural and environmental factors associated with PNSP colonization. The data presented will inform the design of a large trial of population-based interventions targeting inappropriate antibiotic use.
View Article and Find Full Text PDFCurr Pharm Des
January 2025
Director Operations and Medical Writing, RYT Lifesciences Pvt Ltd, Ahmedabad, Gujrat, India.
Objective: This study aimed to evaluate the effectiveness and safety of Altibrain® in combination with standard Autism Spectrum Disorder (ASD) treatment compared to standard ASD treatment alone in individuals diagnosed with ASD.
Method: A randomized, open-label trial was conducted involving 120 participants aged 3 to 17 years, randomly assigned to either the Standard ASD Treatment group or the Altibrain® + Standard ASD Treatment group. Sixty patients were randomly allocated to each Standard ASD Treatment group or the Altibrain® + Standard ASD Treatment group.
Sci Rep
January 2025
Department of Computer Science and Engineering, Engineering College Ajmer, Ajmer, Rajasthan, India.
To combat dynamically loaded code in anti-emulated environments, DLCDroid is an Android app analysis framework. DL-CDroid uses the reflection API to effectively identify information leaks due to dynamically loaded code within malicious apps, incorporating static and dynamic analysis techniques. The Dynamically Loaded Code (DLC) technique employs Java features to allow Android apps to dynamically expand their functionality at runtime.
View Article and Find Full Text PDFBrain Lang
January 2025
School of Psychological and Cognitive Sciences, Peking University, Beijing 100871 China; Beijing Key Laboratory of Behavior and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871 China. Electronic address:
An ERP experiment was conducted to investigate the common and distinct neurocognitive mechanisms underlying the on-line processing of two types of politeness maxims (self-depreciation and other-elevation) and the individual differences during sentence reading. Electroencephalograms were recorded while participants read sentences containing pragmatically appropriate or inappropriate honorific or humble terms. When collapsing all participants' data, inappropriate humble and honorific terms elicited N400 and P600 effects, respectively, which could reflect semantic processing costs and rechecking processes, respectively.
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