首页|Universidad Central de Venezuela Reports Findings in Hernias (Is YouTube a reliable tool for approaching robotic assisted transabdominal preperitoneal surgery? A critical review of the available resources)

Universidad Central de Venezuela Reports Findings in Hernias (Is YouTube a reliable tool for approaching robotic assisted transabdominal preperitoneal surgery? A critical review of the available resources)

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New research on Gastroenterology - Hernias is the subject of a report. According to news reporting from Caracas, Venezuela, by NewsRx journalists, research stated, “The robotic transabdominal preperitoneal approach (rTAPP) is a relatively recent technique for the treatment of inguinal hernia. To achieve optimal results, the 10 golden rules described must be followed.” The news correspondents obtained a quote from the research from Universidad Central de Venezuela, “Surgeons in training often review videos to familiarize themselves with new techniques, YouTube being one of the most used platforms. The objective of this study is to carry out an evaluation of the 10 most viewed videos on YouTube of inguinal hernia repair by transabdominal preperitoneal approach (rTAPP) to determine if the 10 golden rules are met. Identify and evaluate the 10 videos with the highest number of views related to rTAPP. Three experienced Surgeons evaluated compliance with the 10 golden rules using a Likert scale. Data were analyzed in Excel (Microsoft) and plotted with Tableau (Tableau Inc). The consistency between evaluators was determined using Cronbach's alpha, considering a value >0.7 acceptable. The average overall evaluation was 3.63 with a range of 2.6 to 4.9. The scores related to compliance with the rules 1, 2, 9, 10 were satisfactory; on the other hand, rules 3, 4, 5, 7 and 8 were weak, particularly rule number 7. Internal consistency was observed between raters with a Cronbach's alpha of 0.98.”

CaracasVenezuelaSouth AmericaEmerging TechnologiesGastroenterologyHealth and MedicineHerniasInguinal HerniaMachine LearningRoboticsRobotsSurgery

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.8)