Purpose: To develop a structured tool to assess strabismus surgical skills and to determine the face and content validity of this tool.
Design: Development of a surgical assessment tool and its validation by an expert panel.
Methods: A structured subjective evaluation form was developed to evaluate a trainee's technique and skill in strabismus surgery. The tool consists of strabismus surgery-specific components, such as conjunctival incision, muscle exposure, and suture placement, and global indices, such as hemostasis, tissue control, and knowledge of instruments. Each of these components was evaluated on a 5-point Likert scale. A survey of experienced strabismus surgeons was performed to establish the face and content validity of the tool. The results of the survey were used to amend the tool.
Results: The final tool comprises 10 strabismus surgery-specific competencies and 7 global indices. The final version of the tool was deemed to address the vital aspects of a strabismus surgical procedure (face validity), and the components of the assessment tool were deemed to assess appropriate competencies and skills associated with the procedure (content validity).
Conclusions: The strabismus surgery skill assessment tool is a structured quantitative instrument designed to aid surgical evaluation and training of ophthalmic surgical trainees. The Strabismus Surgical Skill Assessment Tool is a paper-based tool that is easy to use, provides the trainee with detailed feedback and a measure of progression of their surgical skills, and stimulates discussion between trainee and trainer to direct further training.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ajo.2010.03.007 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFSustainability study and SWOT analysis of mixed biofuel blends in engine at various injection pressure analysed by experimentally and statistically.
Sci Rep
December 2024
Faculty of Education, Shinawatra University, Bangkok, Thailand.
This study aims to reduce engine emissions while maintaining engine performance and providing a sustainable fuel source for long-term use. It introduces a novel approach by combining pine oil (PO) and lemon grass oil (LGO) with diesel fuel in a specific ratio (10% PO + 10% LGO + 80% Diesel). This work is innovative in that it employs these two distinct low-viscosity biofuel blends in conjunction with diesel fuel in an agricultural engine, resulting in reduced carbon footprints in the tailpipe.
View Article and Find Full Text PDFGeriatric Nutritional Risk Index and Postoperative Outcomes Following Head and Neck Cancer Surgery.
Head Neck
December 2024
Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: The geriatric nutritional risk index (GNRI) is a tool to assess preoperative nutritional status that can be calculated simply based on height, weight, and serum albumin. This study assesses the utility of GNRI in predicting postoperative complications in patients undergoing major head and neck cancer (HNC) surgery.
Methods: Retrospective review of the 2016-2020 National Surgical Quality Improvement Program database.
laparoscopy has emerged as a pivotal tool for the management of acute abdominal pathologies. It provides diagnostic and therapeutic advantages, enabling surgeons to evaluate and address diverse acute abdominal conditions using minimally invasive techniques. The aim of this consensus was to obtain evidence-based guidance for surgeons regarding the utilization of laparoscopy in emergency medical settings, and has been divided into trauma and non-trauma emergencies.
View Article and Find Full Text PDFcutaneous melanoma has often unpredictable lymphatic drainage patterns, especially at the level of the trunk, head and neck regions. Sentinel lymph node biopsy (SLNB) is an important prognostic tool that accurately assesses regional lymph node involvement and guides therapeutic decisions. Material and this prospective study involved 104 patients diagnosed with cutaneous melanoma who underwent SLNB using a radioactive tracer.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!