Protocol for a systematic review with meta-analysis and trial sequential analysis of preventive interventions versus any control intervention for parents with a mental disorder on... by Emilie Hestbaek, Jeanne Kofoed, Jane Barlow, Anne Amalie Elgaard Thorup, Michelle Sleed, Sebastian Simonsen, Anna K. Georg, Mette Skovgaard Væver, Sophie Juul

“…Abstract Background Offspring of parents with a mental disorder are at high risk of a range of adverse outcomes, highlighting the need for preventive interventions. However, a comprehensive overview of the beneficial and harmful effects of preventive interventions for parents with mental disorders on offspring outcomes are uncertain. …”
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Impact of burnout on turnover, medical errors, medical leave and a cross-sectional study of contributing factors among Chilean physicians by Rodrigo Guiloff, Francisco Villalón López, Adrian P Mundt, Alejandro Hirmas, Rita M Rivera

“…Background During the COVID-19 pandemic, many physicians experienced burnout, underscoring the need to identify factors associated with this condition to develop effective prevention and treatment strategies.Objective To examine the relationship between physician burnout and individual factors, medical errors, medical leave and the work environment.Design A cross-sectional online survey conducted from November 2020 to December 2020.Participants Physicians registered with the Medical College of Chile.Setting Registered physicians working in Chile across primary, secondary and tertiary levels of healthcare.Primary outcomes Burnout was assessed using the Maslach Burnout Inventory for Human Services.Secondary outcomes Self-reported medical errors, medical leave and turnover.Independent variables Sociodemographic characteristics, personality factors, psychological well-being, mindfulness factors, self-compassion and work environment factors. …”
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Exploring the influence of nurses’ demographics and hospital work environment on medical error reporting practices in Jordan: a cross-sectional study by Anas Husam Khalifeh, Ala’a Dalky, Islam Ali Oweidat, Sajeda Ramadan Abuzaid, Mohammed AlBashtawy

“…Also, differences were assessed among demographic characteristics and investigated the factors for medical error reporting practices.Results Jordanian nurses had low medical error reporting practices (M=2.34; SD=0.57) and nursing work environment (M=2.4; SD=0.56). …”
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Altered model-based prediction error signaling in the lateral orbitofrontal cortex in patients with obsessive-compulsive disorder: An fMRI study by Pritha Sen, Kathrin Koch, Benita Schmitz-Koep, Deniz Gürsel, Franziska Knolle

“…Importantly, our group comparison of neural reward prediction error responses showed greater activation for model-based reward prediction error in the lateral orbitofrontal cortex (lateral OFC) in OCD patients compared to controls, but no differences for model-free reward prediction error processing. …”
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Harnessing GeoGebra as a modelling tool to mitigate undergraduate engineering mathematics students’ misconceptions and errors associated with complex numbers by Majane P. Seloane, Sam Ramaila, Mdutshekelwa Ndlovu

“…Contribution: The study’s key findings strongly suggest that GeoGebra-facilitated intervention effectively mitigates undergraduate engineering mathematics students’ total misconceptions and errors associated with complex numbers more than the traditional intervention. …”
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Examiner experience moderates reliability of human lower extremity muscle ultrasound measurement – a double blinded measurement error study by Konstantin Warneke, Stanislav D. Siegel, Jonas Drabow, Lars H. Lohmann, Daniel Jochum, Sandro R. Freitas, José Afonso, Andreas Konrad

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Personnel’s Experiences of Phlebotomy Practices after Participating in an Educational Intervention Programme by Karin Bölenius, Christine Brulin, Ulla H. Graneheim

“…Blood specimen collection is a common procedure in health care, and the results from specimen analysis have essential influence on clinical decisions. Errors in phlebotomy may lead to repeated sampling and delay in diagnosis and may jeopardise patient safety. …”
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Availability of eye health interventions in basic schools in a Ghanaian municipality by Christopher Senyo Adzaho, Christopher Senyo Adzaho, Emmanuel Appiah-Brempong, Princess Ruhama Acheampong, Ernest Ekutor

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Raya: A Bio-Inspired AUV for Inspection and Intervention of Underwater Structures by Pedro Pereira, Renato Silva, Joao V. Amorim Marques, Raul Campilho, Anibal Matos, Andry Maykol Pinto

“…This work presents a bio-inspired Autonomous Underwater Vehicle (AUV) concept called Raya that enables high manoeuvrability required for close-range inspection and intervention tasks, while fostering endurance for long-range operations by enabling efficient navigation. …”
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‘Navigating my way through trial and error’ … resilience of newly qualified teachers in special educational needs schools for learners with physical disabilities by Samukelisiwe Kuboni, Daphney Mawila-Chauke

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Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data. by Ali Golestani, Nazila Rezaei, Mohammad-Reza Malekpour, Naser Ahmadi, Seyed Mohammad-Navid Ataei, Sepehr Khosravi, Ayyoob Jafari, Saeid Shahraz, Farshad Farzadfar

“…SHAP values highlighted spatial-related variables, particularly the province of error and road type, as the most critical features for predicting errors in accident hotspots in Iran. …”
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Assessing Knowledge, Attitudes, and Practices Regarding Refractive Errors and Spectacle Wear among Children in Sana’a: A Cross-Sectional Study by Tariek Aldoais, Zakarya Rageh, Khaled Al-Hemyari, Saleh Altheeb, Abdulmogni Al-barrag, Mahfouth Bamashmus

“…Conclusions: Despite moderate knowledge and practices, misconceptions about refractive errors persist, underscoring the need for educational interventions. …”
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Changes in medication administration error rates associated with the introduction of electronic medication systems in hospitals: a multisite controlled before and after study by Ling Li, Johanna I Westbrook, Peter Gates, Amanda Woods, Magdalena Z Raban, Neroli S Sunderland

“…Post-EMS, MAEs decreased on intervention wards relative to control wards by 4.2 errors per 100 administrations (95% CI 0.2 to 8.3; p=0.04). …”
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Clinical pharmacist-led anticoagulation stewardship program: improve physician adherence to evidence-based guidelines and reduce anticoagulant-related medication errors by Heba M. El-Bosily, Khaled R. Abd El Meguid, Nagwa A. Sabri, Marwa Adel Ahmed

“…Abstract Background Due to their high risk of medication errors (MEs) and the potentially devastating thrombotic and bleeding events, anticoagulants are a class of high-risk medications that require regular monitoring by healthcare professionals. …”
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Multi-Section Magnetic Soft Robot with Multirobot Navigation System for Vasculature Intervention by Zhengyang Li, Qingsong Xu

“…Experimental results demonstrate that the proposed magnetic soft robot can be successfully navigated within the multi-bifurcation intravascular environment with a shape modeling error [Formula: see text] and a tip error of [Formula: see text] under the actuation of a CMNS through in vitro ultrasound-guided vasculature interventional tests.…”
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FBG‐driven simulation for virtual augmentation of fluoroscopic images during endovascular interventions by Valentina Scarponi, Juan Verde, Nazim Haouchine, Michel Duprez, Florent Nageotte, Stéphane Cotin

“…Abstract Endovascular interventions are procedures designed to diagnose and treat vascular diseases, using catheters to navigate inside arteries and veins. …”
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Design and Evaluation of a Leader–Follower Isomorphic Vascular Interventional Surgical Robot by Pengfei Chen, Yutang Wang, Dapeng Tian

“…The leader–follower delivery error of the catheter/guidewire is less than 1 mm, and the leader–follower rotation error of the guidewire is less than 0.3° in an actual intervention task based on a human vascular model. …”
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Exploration of heterogeneity of treatment effects across exercise-based interventions for knee osteoarthritis by Paul A. Dennis, Livia Anderson, Cynthia J. Coffman, Sara Webb, Kelli D. Allen

“…Fit was evaluated with holdout/validation data using root mean square error and mean absolute error. Results: The regression tree model outperformed all 9 metalearner models. …”
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MODELING THE IDX30 STOCK INDEX USING STEP FUNCTION INTERVENTION ANALYSIS by Rais Rais, Dini Aprilia Afriza, Iman Setiawan, Hartayuni Sain, Fadjryani Fadjryani, Junaidi Junaidi

“…The best model identified is ARIMA (1,2,1) with intervention parameters b = 0, s = 0, and r = 1. The forecasting results range from Rp. 488 to Rp. 505, with a Mean Absolute Percentage Error (MAPE) of 1.9404%, which shows the forecasting results are very good, indicating high forecasting accuracy. …”
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Prevalence and Associated Risk Factors of Visual Impairment among Children at Ibn Al-Haitham Eye Hospital in Baghdad,Iraq: A Cross-sectional Study by Baydaa Jaber Shamran, Zainora Mohammed, Hassenien Shuber, Mohd Harimi Abd Rahman, Norliza Mohamad Fadzil

“…Filling this gap is essential for developing effective health interventions that can enhance outcomes for affected children. …”
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