Purpose: To investigate the learning curve in four basic surgical skills in laparoscopic and robotic surgeries, and evaluate the approximate time needed to reach sufficient expertise in performing these tasks with the avatera® system.
Methods: Twenty urology residents with no previous experience in dry-lab and robotic surgery were asked to complete four basic laparoscopic tasks (peg transfer, circle cutting, needle guidance, and suturing) laparoscopically and robotically. All participants were asked to complete the tasks first after watching the Uroweb educational material and, second, after undertaking a 2-hour training in robotic and laparoscopic dry-lab. Thereafter, all trainees continued to undertake 2-hour training programs until being able to complete the tasks with the avatera® robot at the desired time. Paired t test and one-way ANOVA test were used to analyze time differences between the groups.
Results: Time needed to complete all tasks either robotically or laparoscopically was significantly less in the second compared to the first attempt for all Groups in each Task. In the robotic dry-lab, time needed to complete the tasks was significantly less than in the laparoscopic dry-lab. A significant effect of previous laparoscopic experience of the participants on the training time needed to achieve most of the goal times was detected.
Conclusion: The results of the study highlight the role of previous laparoscopic experience in the training time needed to achieve the performance time goals and demonstrate that the learning curve of basic surgical skills using the avatera® system is steeper than the laparoscopic one.
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http://dx.doi.org/10.1007/s11255-023-03914-5 | DOI Listing |
Glob Ment Health (Camb)
January 2025
Department of Psychology, University of Jaen, Jaen, Spain.
The European Union receives thousands of unaccompanied irregular migrant minors every year, but little is known about their life experiences during the migration process. The aim of this study is to describe their experiences as minors when they arrived in Spain in small boats, which will help to understand their psychosocial and health needs. A descriptive qualitative study was undertaken.
View Article and Find Full Text PDFPEC Innov
December 2024
Stoneygate Centre for Empathic Healthcare, Leicester Medical School, University of Leicester, George Davies Centre, Lancaster Rd, Leicester LE1 7HA, UK.
Objective: To examine whether medical student empathy changes throughout the five years of a UK medical school.
Methods: Students completed an online version of the Jefferson Scale of Empathy (JSE-S) during the 2022-2023 academic year. Comparisons of empathy scores were made using analysis of variance (ANOVA), and independent -tests.
Cureus
December 2024
Cardiology, Wexham Park Hospital, Frimley Health NHS Foundation Trust, Slough, GBR.
Introduction Surgical inpatients frequently require peripherally inserted central catheters (PICCs) for parenteral feeding and administration of medication. PICCs may cause upper limb deep venous thrombosis (ULDVT), which impacts patient morbidity. We investigated the risk and prevention of PICC-ULDVT in hospitalised surgical inpatients.
View Article and Find Full Text PDFCureus
December 2024
Obstetrics and Gynecology, Duhok Obstetrics and Gynecology Teaching Hospital, Duhok, IRQ.
Aims: To determine the effectiveness of tranexamic acid (TXA) in reducing vaginal bleeding, extending pregnancy duration, and enhancing perinatal outcomes in pregnant women with placenta previa.
Methods: A multicenter, randomized, double-blind clinical trial was conducted at three maternity teaching hospitals in Iraq's Kurdistan region, Azadi Hospital in the north of Iraq, and Al-Azhar University Hospital in Egypt on 146 women with placenta previa. Participants were randomly assigned to two interventional groups in a 1:1 ratio to receive either TXA or Dextrose 5% water (D5W).
Ecol Evol
January 2025
Département de Biologie, Chimie et Géographie Université du Québec à Rimouski Rimouski Quebec Canada.
This study presents the first movement analysis of snow leopards () using satellite telemetry data, focusing on the northeastern Himalayas of Nepal. By examining GPS-based satellite collar data between 2013 and 2017 from five collared snow leopards (effectively three individuals), the research uncovered distinct movement patterns, activity budgeting and home range utilisation from one adult male and two sub adult females. Hidden Markov models (HMMs) revealed three behavioural states based on the movement patterns-slow (indicative of resting), moderate and fast (associated with travelling) and demonstrated that the time of day influenced their behavioural state.
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