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一小时教育能否纠正外科医生的ASA评分错误:一项概念验证性初步研究

Can one hour of education fix the surgeon's ASA scoring errors: A proof-of-concept pilot study.

临床研究咽喉科IF 3Q1

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中文摘要

背景: 美国麻醉医师协会(ASA)身体状况分级是围手术期风险管理和外科患者安全的基石。在临床实践中,初始评估常由外科团队记录,导致跨学科差异。本研究评估了执业外科医生基线ASA评分准确性,并评价一个简短、聚焦的教育模块对预防记录错误的即时影响。
方法: 在这项于一家三级学术医院开展的前瞻性、前后对照干预研究中,50名来自不同专业的执业外科医生评估了10个经过验证的临界临床病例情景,以建立基线评分准确性。随后由一名资深麻醉科医师进行了一小时的聚焦互动讲座,内容涉及更新的ASA定义、主观边界、常见陷阱以及急诊(“E”)修饰符。讲座结束后立即进行了一次情景顺序随机化的后测。准确率采用McNemar检验和Fisher精确检验进行分析。
结果: 一小时教育课程使所有类别均出现显著且具有统计学意义的改善。ASA II的正确分类从67.3%升至81.2%(p < 0.05)。改善最显著的是ASA III情景(例如病态肥胖合并重度阻塞性睡眠呼吸暂停),其基线错误率从24.5%降至5.0%,最终准确率达95.0%(p < 0.001)。ASA IV的准确性从61.2%提高至88.3%(p < 0.001),“E”修饰符的正确应用从77.6%提高至88.6%(p < 0.05)。初级专科医生与高级学术教员的基线评分准确性无显著差异(p > 0.05)。
结论: 仅一小时的教育投入即可大幅减少外科医生在高风险类别中的记录错误。将结构化的围手术期风险模块纳入外科住院医师培训,是一种低成本、高收益的策略,可建立可靠的跨学科语言并保护机构数据完整性。

英文摘要

BACKGROUND: The American Society of Anesthesiologists (ASA) physical status classification is a cornerstone of perioperative risk management and surgical patient safety. In clinical practice, the initial assessment is frequently documented by surgical teams, leading to interdisciplinary variability. This study evaluated baseline ASA scoring accuracy among practicing surgeons and assessed the immediate impact of a brief, focused educational module on preventing documentation errors.
METHODS: In this prospective, pre-post interventional study conducted at a tertiary academic hospital, 50 practicing surgeons from various specialties evaluated ten validated, borderline clinical case scenarios to establish baseline scoring accuracy. A senior anesthesiologist then delivered a focused, one-hour interactive lecture addressing the updated ASA definitions, subjective boundaries, common pitfalls, and the emergency ("E") modifier. Immediately following the session, a post-test with randomized scenario orders was administered. Accuracy rates were analyzed using the McNemar and Fisher's exact tests.
RESULTS: The one-hour educational session led to substantial, statistically significant improvements across all categories. Correct classifications for ASA II rose from 67.3% to 81.2% (p < 0.05). The most dramatic improvement occurred in ASA III scenarios (e.g., morbid obesity combined with severe obstructive sleep apnea), where baseline error rates dropped from 24.5% to 5.0%, yielding a final accuracy of 95.0% (p < 0.001). Accuracy for ASA IV improved from 61.2% to 88.3% (p < 0.001), and correct application of the "E" modifier increased from 77.6% to 88.6% (p < 0.05). Baseline scoring accuracy did not differ significantly between junior specialists and senior academic faculty (p > 0.05).
CONCLUSION: A minimal, one-hour educational investment can drastically reduce surgeon documentation errors in high-risk categories. Incorporating structured perioperative risk modules into surgical residency training represents a low-cost, high-yield strategy to establish a reliable cross-disciplinary language and protect institutional data integrity.