5 research outputs found
Hospital management support for patient safety
Get PDFINTRODUCTION: Hospital management support can play an important role in addressing the issue of patient safety. There is increasing concern about patient safety, as it is often linked to a lack of effective managers who can use their influence to change health professionals’ behavior, leading to a decrease in work pressure and medical errors and enhancing patient safety.
MATERIAL AND METHODS: A cross-sectional study was conducted at three private hospitals. The sample (n = 315) consisted of health professionals from different private hospitals in Jeddah, Saudi Arabia. A 40-item questionnaire addressed patient safety, teamwork, collaboration, hospital management support, supervisor support, work pressure, and communication. The quantitative data were analyzed using the Statistical Package for Social Sciences (SPSS) version 23 and the standard multiple regression analysis was the method used to test hypotheses in this study.
RESULTS: The results of this investigation indicate that a significant amount of variance in perceived patient safety (R2 = 0.41) is accounted for by the predictor variables. The most significant predictor of patient safety is teamwork with a β weight of 0.33, followed by work pressure, with a β weight of 0.31, and hospital management support, with a β weight of 0.30.
CONCLUSIONS: This study has shown that patient safety can be improved by enhancing teamwork, collaboration, and communication among health professionals within hospitals. Patient safety can be improved when heads of units or clinical supervisors use their influence to change behavior and implement procedures that support health professionals working together as a team
A Scientometric Analysis and Systematic Literature Review for Construction Project Complexity
No full textThe construction industry has been experiencing a rapid increase in complex projects for the last two decades. Simultaneously, project complexity has received more attention from academics and practitioners worldwide. Many studies suggest that perceiving complexity is critical for successful construction project management. This study investigates the current status and future trends in construction project complexity (CPC) literature from the Scopus database. This review systematically uses bibliometric and scientometric methods through co-occurrence and co-citation analysis. First, 644 academic documents were retrieved from the Scopus database. Then, co-occurrence and co-citation analysis were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant keywords, productive authors, and important journals have been highlighted. The prominent research topics within the literature on construction project complexity focus on the following topics: identifying and measuring project complexity, schedule performance and cost estimation, system integration and dynamic capabilities, and risk assessment and uncertainty. Finally, the potential research directions are developing towards safety performance, organizational resilience, and integrated project delivery (IPD). The study still has a limitation. The review focuses only on the academic documents retrieved from the Scopus database, thus restricting the coverage of the reviewed literature relating to construction project complexity. To the best of the author’s knowledge, this study is the first study that provides a systematic review of the literature from the Scopus database on construction project complexity
Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
Get PDFSoftware Defect Prediction (SDP) plays a vital role in the software development life cycle as it helps identify and fix software defects. However, predicting software defects with irrelevant features and overlapping classes is challenging and can lead to lengthy training and low model accuracy. To address these challenges, this research introduces a novel Depth Linear Discrimination-Oriented Feature Selection Method based on Adaptive Sine Cosine Algorithm, named Depth Adaptive Sine Cosine Feature Selection (DASC-FS). DASC-FS integrates the Adaptive Sine Cosine Algorithm (ASCA) as a search algorithm to determine the relevant features and adopts Depth Linear Discriminant Analysis (D-LDA) to identify the discriminative features that maximize class separation. The paper proposes ASCA which is a metaheuristic algorithm meticulously designed to enhance the search capabilities of the standard Sine Cosine Algorithm (SCA). Combining the simplicity of the SCA with the efficiency of multiple mutation operators inspired by Genetic Algorithms (GA), ASCA enhances the diversity of the solutions and imparts remarkable adaptability to various situations. Furthermore, this study introduces a novel linear discriminant method, called Depth Linear Discriminant Analysis (D-LDA) to enhance the robustness of the original LDA. D-LDA systematically integrates the matrix depth concept into LDA, offering a systematic approach to address the challenges associated with scatter matrix estimation. As matrix depth measures how central or deep a particular matrix is within a distribution with respect to different directions, it is an efficient tool for computing a robust scatter matrix estimator that can handle outliers and complex data structures. The experimental results showed that DASC-FS consistently obtains the highest accuracy compared to most existing methods by integrating ASCA and D-LDA, thereby considering both accuracy optimization and class separation. The results also show that the use of multiple mutation operators in ASCA improves the search process capabilities. The results also show that the capacity of D-LDA to reduce data dimensionality and increase class separation yields highly competitive results compared to other LDAs. Finally, features related to code size and complexity have emerged as key factors for SDP because they consistently rank as important features across different classifiers and datasets. DASC-FS offers a valuable solution in domain knowledge for enhancing predictive accuracy and understanding factors contributing to software defects through enhanced search capabilities, robust scatter matrix estimation, and the ability to reduce data dimensionality.© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed
a descriptive analysis of the Eurobact II study
Get PDFFunding Information: The Eurobact 2 study group, National coordinators, scientific committee and participating intensive care units: East Asia and Pacific: Australia —National Coordinator: A/Prof. Alexis Tabah; Scientific Committee: Prof. Jeffrey Lipman; Participating ICUs: The Prince Charles Hospital, Adult Intensive Care Services: Dr. Mahesh Ramanan. Fiona Stanley Hospital, Intensive Care Unit: Dr. Edward Litton, Ms Anna Maria Palermo, Mr Timothy Yap, Mr Ege Eroglu. Japan —National Coordinator: Dr. Yoshiro Hayashi; Participating ICUs: Hiroshima University Hospital, ICU: Dr. Koji Hosokawa. St. Marianna University School of Medicine Hospital, Mixed ICU: Dr. Hideki Yoshida, Prof. Shigeki Fujitani. Middle East and North Africa: Iran —National Coordinator: Prof. Farid Zand; Participating ICUs: Imam-Reza, General Icu: Prof Ata Mahmoodpoor. Zahedan University of Medical Sciences, Clinical Immunology Research Center: Dr. Seyed Mohammad Nasirodin (S.M.N.) Tabatabaei. Saudi Arabia —Participating ICUs: Prince Sultan Medical Military Center, Intensive Care Unit: Dr. Omar Elrabi, Dr. Ghaleb A Almekhlafi. Latin America and The Caribbean: Argentina —National Coordinator: Dr. Gabriela Vidal; Participating ICUs: Hospital Zatti, Ucia: Dra Marta Aparicio, Microbiologa Irene Alonzo. Mexico —National Coordinator: Dr. Silvio A. Namendys-Silva; Participating ICUs: Centenario Hospital Miguel Hidalgo: Dr. Mariana Hermosillo, Dr. Roberto Alejandro Castillo. Europe And Central Asia: Belgium —National Coordinator: Dr. Liesbet De Bus; Scientific Committee: Jan De Waele; Participating ICUs: A.S.Z., Iz: Dr. Isabelle Hollevoet. Clinique Saint-Pierre, Intensive Care Unit: Dr. Nicolas De Schryver, Dr. Nicolas Serck. Bosnia And Herzegovina —National Coordinator: Dr. Pedja Kovacevic; Participating ICUs: University Clinical Centre of The Republic Of Srpska, Medical Intensive Care Unit: Dr. Pedja Kovacevic, Dr. Biljana Zlojutro. France —National Coordinator: Prof. Marc Leone; Scientific Committee: Prof. Jean-François Timsit, Prof. Etienne Ruppe, Mr. Stephane Ruckly, Prof. Philippe Montravers; Participating ICUs: Centre Hospitalier De Bigorre, Service De Réanimation Polyvalente: Dr. Thierry Dulac, Dr. Jérémy Castanera. Centre Hospitalier De Pau, Réanimation Polyvalente: Dr. Alexandre Massri, Dr. Charlotte Guesdon. Ghef Site De Marne-La-Vallée, Réanimation Polyvalente: Dr. Pierre Garcon, Dr. Matthieu Duprey. Groupe Hospitalier Paris Saint Joseph, Médecine Intensive et Réanimation: Dr. François Philippart, Dr. Marc Tran, Dr. Cédric Bruel. Hôpital De La Source, Centre Hospitalier Régional D'orléans, Médecine Intensive & Réanimation (Medical Icu): Dr. François Barbier. Hôpital Louis Pasteur, Réanimation: Dr. Pierre Kalfon, Mr Gaëtan Badre. Sorbonne Universite Pitie Salpetriere, Médecine Intensive Et Réanimation Neurologique: Dr. Sophie Demeret, Dr. Loïc Le Guennec. Italy —National Coordinator: Prof. Matteo Bassetti and Dr. Daniele Giacobbe; Participating ICUs: Città Della Salute E Della Scienza - Molinette, Anestesia E Rianimazione Universitaria: Dr. Giorgia Montrucchio, Dr. Gabriele Sales. Irccs Sacro Cuore Don Calabria, Terapia Intensiva: Dr. Ivan Daroui, Dr. Giovanni Lodi. Policlino Paolo Giaccone, Università Degli Studi Di Palermo, Terapia Intensiva Polivalente: Dr. Andrea Cortegiani, Dr. Mariachiara Ippolito, Dr. Davide Bellina, Dr. Andrea Di Guardo. Sant'andrea Hospital Sapienza University of Rome, Department of Medical And Surgical Science And Translational Medicine Intensive Care Unit: Dr. Monica Rocco, Dr. Silvia Fiorelli. Poland —National Coordinator: Dr. Adam Mikstacki; Participating ICUs: Wss Im. Wl. Bieganskiego, Oddzial Anestezjologii I Intensywnej Terapii - Osrodek Pozaustrojowych Technik Wspomagania Czynnosci Nerek I Wątroby: Prof Assoc Mariusz Peichota, Dr. Iwona Pietraszek-Grzywaczewska. Portugal —National Coordinator: Prof. José-Artur Paiva; Scientific Committee: Prof. Pedro Póvoa; Participating ICUs: CHUA Faro, Smi-1: Dr. Andriy Krystopchuk, Dr. Ana Teresa. Hospital De Cascais Dr Jose De Almeida, Unidade de Cuidados Intensivos: Dr. António Manuel Pereira de Figueiredo, Dr. Isabel Botelho. Hospital Sao Francisco Xavier, CHLO, Unidade De Cuidados Intensivos Polivalente: Dr. Vasco Costa, Dr. Rui Pedro Cunha. Russian Federation —National Coordinator: Prof Alexey Gritsan; Participating ICUs: Privolzhskiy District Medical Center, Department Anesthesiology and Intensive Care: Dr. Vladislav Belskiy, Dr. Mikhail Furman. Spain —National Coordinator: Dr. Ricard Ferrer; Participating ICUs: Vall D'herbon, Intensive Care Medicine: Dr. Ricard Ferrer, Dr. Maria Martinez, Dr. Vanessa Casares. Hospital Del Mar, Critical Care Unit: Dr. Maria Pilar Gracia Arnillas, Dr. Rosana Munoz Bermudez. Hospital Punta De Europa, Intensive Care Unit: Dr. Alejandro Ubeda, Dra Maria Salgado. Hospital Universitario La Paz, Surgical Critical Care Unit: Dr. Emilio Maseda, Dr. Alejandro Suarez De La Rica. University Hospital Severo Ochoa, Intensive Care Unit: Dr. Miguel Angel Blasco-Navalpotro, Dr. Alberto Orejas Gallego. Switzerland —National Coordinator: Dr. Josef Prazak; Scientific Committee: Dr. Niccolò Buetti; Participating ICUs: Chuv, Service De Médecine Intensive Adulte: Dr. Jl Pagani, Mrs S Abed-Maillard. Turkey —National Coordinator: Prof. Akova Murat, Dr. Abdullah Tarık Aslan; Participating ICUs: Hacettepe University of Faculty of Medicine, Intensive Care Unit(ICU): Dr. Akova Murat, Dr. Abdullah Tarik Aslan, Dr. Arzu Topeli Iskit. Acibadem Kadikoy Hospital, ICU: Dr. Selcuk Mehtap, Dr. Solakoğlu Ceyhun. Ankara Yildirim Beyazit University, Ankara City Hospital, Infectious Diseases and Clinical Microbiology: Dr. Bircan Kayaaslan, Dr. Ayşe Kaya Kalem. Aydin Adnan Menderes University Research Hospital, Anesthesia and Reanimation ICU: Prof. Dr. Ibrahim Kurt, Dr. (Professor) Murat Telli, Dr. (Associate Professor) Barcin Ozturk. Hitit University Erol Olcok Education and Research Hospital, Infectious Diseases and Clinical Microbiology: Prof. Dr. Nurcan (N) Baykam, Assistant Prof. Dr. Özlem (O) Akdoğan. Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Sadi Sun ICU: Prof.Dr. Nese Saltoglu, Ass Prof.Dr. Ridvan Karaali. Karadeniz Technical University Faculty of Medicine, Infectious Disease and Clinical Microbiology: Prof Dr. Iftihar Koksal, Assist. Prof. Firdevs Aksoy. Kartal Dr. Lutfi Kirdar Training and Research Hospital, ICU: Dr. Kemal Tolga Saracoglu, Dr. Yeliz Bilir. Kayseri City Hospital, ICU: Dr. Seda Guzeldag. Mersin University Hospital, Department of Infectious Diseases and Clinical Microbiology: Dr. Gulden Ersoz, Dr. Guliz Evik. School Of Medicine, Medipol Mega University Hospitals Complex, Department of Anesthesiology and Reanimation: Dr. Cem Erdogan. Turgut Ozal Medical Center, Department of Infectious Diseases and Clinical Microbiology: Dr. Yasar Bayindir, Dr. Yasemin Ersoy. The United Kingdom —National Coordinator: Dr. Andrew Conway Morris; Participating ICUs: Addenbrookes Hospital, John V Farman Intensive Care Unit: Dr. Andrew Conway Morris, Dr. Matthew Routledge. Addenbrookes Hospital, Neurocritical Care Unit (NCCU): Dr. Andrew Conway Morris, Dr. Ari Ercole. Croydon University Hospital, Critical Care Unit: Dr. Ashok Raj, Dr. Artemis Zormpa, Dr. George Tinaslanidis, Mrs Reena Khade. Queen Elizabeth Hospital, Lewisham and Greenwich NHS Trust, Critical Care Unit: Dr. Ashraf Roshdy Sandwell And West Birmingham Hospitals NHS Trust, Intensive Care Unit: Dr. Santhana Kannan, Dr. Supriya Antrolikar, Dr. Nicholas Marsden. Warwick Hospital, Intensive Care Unit: Dr. Ben Attwood, Dr. Jamie Patel. South Asia: India —National Coordinator: Prof. Mohan Gurjar; Participating ICUs: St Johns Medical College Hospital, Department of Critical Care Medicine, Micu: Dr. Carol Dsilva, Dr. Jagadish Chandran. Sub-Saharan Africa: Sudan —National Coordinator: Dr. Bashir El Sanousi; Participating ICUs: East Nile Hospital, Intensive Care Unit: Dr. Elfayadh Saidahmed, Dr. Hytham K.S. Hamid. Funding Information: The authors have disclosed that they do not have conflict of interest. Dr. Buetti received a grant from the Swiss National Science Foundation (Grant Number: P4P4PM_194449). Prof. Timsit received fees for lectures to 3M, MSD, Pfizer, and BioMérieux; he received research grants from Astellas, 3M, MSD, and Pfizer; and he participated to advisory boards of 3M, MSD, Bayer Pharma, Nabriva, and Pfizer. Dr. Barbier received consulting and lecture fees from MSD and BioMérieux. Prof. Cortegiani received fees for lectures from Gilead, MSD, Pfizer; and he participated to advisory boards of MSD, Gilead, Pfizer. Dr. Montrucchio received fees for lectures from Gilead, Pfizer, Thermofisher; and she participated to advisory boards of Gilead. Dr. Conway Morris sits on the scientific advisory board of Cambridge Infection Diagnostics. Prof. Akova received grants from Pfizer and Gilead, had lecture fees paid to the institution by Pfizer and Sanofi. Dr. Ramanan acknowledges support from the Metro North Hospital and Health Services Clinician-Researcher Fellowship. Dr. Conway Morris sits on the scientific advisory board of Cambridge Infection Diagnostics. Dr. Conway Morris is supported by a Clinician Scientist Fellowship from the Medical Research Council (MR/V006118/1). Prof. José-Artur Paiva received fees for consulting, advisory boards or lectures from MSD, Pfizer, Astra-Zeneca, Gilead, Jansen, Cepheid, AOP Orphan Pharmaceuticals. Funding Information: Research grants were obtained from the European society of Intensive Care Medicine (ESICM) and the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) study Group for Infections in Critically Ill Patients (ESGCIP), the Norva Dahlia foundation and the Redcliffe Hospital Private Practice Trust Fund. Dr. Buetti received a grant from the Swiss National Science Foundation (Grant Number: P4P4PM_194449). The study was endorsed by the critically ill group of the ESCMID (ESGCIP) and by the infection group of the ESICM with scientific input of the OUTCOMEREA network. Publisher Copyright: © 2022, The Author(s).Background: The study aimed to describe the epidemiology and outcomes of hospital-acquired bloodstream infections (HABSIs) between COVID-19 and non-COVID-19 critically ill patients. Methods: We used data from the Eurobact II study, a prospective observational multicontinental cohort study on HABSI treated in ICU. For the current analysis, we selected centers that included both COVID-19 and non-COVID-19 critically ill patients. We performed descriptive statistics between COVID-19 and non-COVID-19 in terms of patients’ characteristics, source of infection and microorganism distribution. We studied the association between COVID-19 status and mortality using multivariable fragility Cox models. Results: A total of 53 centers from 19 countries over the 5 continents were eligible. Overall, 829 patients (median age 65 years [IQR 55; 74]; male, n = 538 [64.9%]) were treated for a HABSI. Included patients comprised 252 (30.4%) COVID-19 and 577 (69.6%) non-COVID-19 patients. The time interval between hospital admission and HABSI was similar between both groups. Respiratory sources (40.1 vs. 26.0%, p < 0.0001) and primary HABSI (25.4% vs. 17.2%, p = 0.006) were more frequent in COVID-19 patients. COVID-19 patients had more often enterococcal (20.5% vs. 9%) and Acinetobacter spp. (18.8% vs. 13.6%) HABSIs. Bacteremic COVID-19 patients had an increased mortality hazard ratio (HR) versus non-COVID-19 patients (HR 1.91, 95% CI 1.49–2.45). Conclusions: We showed that the epidemiology of HABSI differed between COVID-19 and non-COVID-19 patients. Enterococcal HABSI predominated in COVID-19 patients. COVID-19 patients with HABSI had elevated risk of mortality. Trial registration ClinicalTrials.org number NCT03937245. Registered 3 May 2019.publishersversionpublishe
SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
No full textBackground: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling.
Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty.
Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year.
Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population
