Evidence Based Analysis Enhances Surgical Outcomes of Novice Resident Surgeons.

IF 1.8 Q2 Medicine
Neel K Patel, Kenneth L Cohen
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引用次数: 0

Abstract

Evidence based practice enhances healthcare delivery and prevents unsafe procedures. While competency based assessments of resident cataract surgery are standard, evidence based analysis of refractive outcomes remains underutilized in educational curricula. This retrospective single center study evaluated refractive outcomes from 21 novice ophthalmology resident surgeons. Three independent groups were compared based on formal constant optimization for intraocular lens (IOL) calculation: non-optimized Haigis (n = 216), a0-optimized (n = 94), and a0/a1/a2-optimized (n = 121). All surgeries were supervised by a single attending surgeon. Mean absolute error (MAE) and the percentage of eyes within ±0.25 D and ±0.50 D of predicted spherical equivalent (SEQ) were calculated. Also, systematic bias in effective lens position (ELP) was analyzed to update manufacturer IOL constants. MAE improved from 0.44 D (non-optimized) to 0.35 D (a0-optimized p = 0.009) and 0.19 D (a0/a1/a2-optimized p < 0.001). The percentage within ±0.50 D increased from 65.7% to 74.4% to 95.0%, respectively. With ELP bias correction, updated A constant and ACD were 119.266 and 5.755 mm. a0/a1/a2-optimized outcomes were comparable to ELP bias correction for the Barrett UII, Kane, and Hill-RBF formulas. Evidence based optimization of IOL constants significantly enhances novice resident surgical outcomes, achieving parity with prediction models. A formal curriculum on IOL calculation and optimization is warranted.

循证分析提高住院医师新手手术效果。
循证实践可加强医疗保健服务并防止不安全程序。虽然基于能力的住院医师白内障手术评估是标准的,但屈光结果的基于证据的分析在教育课程中仍未得到充分利用。本回顾性单中心研究评估了21位眼科住院医师的屈光结果。根据人工晶状体(IOL)计算的形式常数优化,比较三个独立组:非优化Haigis组(n = 216)、a0-优化组(n = 94)和a0/a1/a2-优化组(n = 121)。所有手术均由一名主治医生监督。计算平均绝对误差(MAE)和在预测球等效(SEQ)±0.25 D和±0.50 D范围内的眼睛百分比。此外,还分析了有效晶状体位置(ELP)的系统偏差,以更新制造商的IOL常数。MAE从0.44 D(非优化)改善到0.35 D (a0-优化p = 0.009)和0.19 D (a0/a1/a2-优化p < 0.001)。在±0.50 D范围内的比例分别从65.7%上升到74.4%和95.0%。经ELP偏倚校正后,更新后的A常数和ACD分别为119.266和5.755 mm。a0/a1/a2优化后的结果与Barrett ii、Kane和Hill-RBF公式的ELP偏倚校正结果相当。基于证据的优化IOL常数显着提高了新手住院手术的结果,实现了与预测模型的平价。一个关于人工晶体计算和优化的正式课程是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Vision (Switzerland)
Vision (Switzerland) Health Professions-Optometry
CiteScore
2.30
自引率
0.00%
发文量
62
审稿时长
11 weeks
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