Competency-Based Education Assessment Tools for Laser Capsulotomy, Peripheral Iridotomy, and Selective Laser Trabeculoplasty

Ophthalmology Glaucoma(2019)

引用 4|浏览4
暂无评分
摘要
PURPOSE:To produce Competency-Based Education Assessment Tools (C-BEAT) for performance of neodymium-doped yttrium aluminum garnet (Nd:YAG) laser capsulotomy, laser peripheral iridotomy (LPI), and selective laser trabeculoplasty (SLT) on an artificial eye model that can be used in competency-based medical education (CBME) of ophthalmology residents. DESIGN:Survey. PARTICIPANTS:Eight content experts (residency program director and faculty members involved in ophthalmology resident training). METHODS:Task-specific checklists were created to assess the performance of Nd:YAG capsulotomy, LPI, and SLT on artificial eye models designed for each of these procedures, as well as a global rating scale (GRS). A modified Delphi process was used to establish face and content validity of the C-BEAT for lasers. Eight content experts participated in the Delphi process, and the consensus was achieved after 4 rounds. MAIN OUTCOME MEASURE:Survey responses. RESULTS:Final versions of checklists for Nd:YAG capsulotomy, LPI, and SLT, and a GRS for these laser procedures were produced with face and content validity. Modifications to the energy settings and the number of applications in the capsulotomy and peripheral iridotomy were implemented into the checklist and instructions, because the artificial models were not identical in their responses to the laser applications compared with real tissue. CONCLUSIONS:The C-BEAT for lasers can be used in an examination setting within ophthalmology residency training programs to establish competency in these procedures before performing them on real patients. These tools help to meet the demand for assessment modalities within a CBME model that is being implemented into residency training worldwide. To establish interrater and construct validities, further studies are required.
更多
查看译文
关键词
ACGME,CBD,C-BEAT,CBME,GRS,LPI,Nd:YAG,RCPSC,SLT
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要