国际麻醉学与复苏杂志   2023, Issue (1): 0-0
    
麻醉手术后随访指标体系与结构化随访系统的构建
朱易豪, 朱涛, 郝学超1()
1.四川大学华西医院
Construction of a follow‑up indicator system and a structured information system after anesthesia for surgery
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摘要:

目的 构建麻醉手术不同时间点随访指标体系,研发建立结构化的随访信息系统,以满足麻醉医疗质控和科研需求。 方法 通过查阅文献和咨询专家构建完备的随访指标体系,向全国多家医院麻醉科医师发送电子问卷,对构建的随访指标体系进行信度分析及效度分析,并形成推荐的术后7 d、术后30 d、术后1年随访指标体系;运用互联网、标注化语义定义、人工智能等技术,构建结构化的随访信息系统。 结果 2021年6月1日至2021年6月30日,通过问卷星发放随访指标集调查问卷,共回收来自24个省94家医院的有效匿名回复问卷185份,随访体系肯德尔和谐系数为0.525~0.566,条目水平内容效度指数为0.30~0.98。推荐的术后7 d随访体系包含8个系统30个条目;术后30 d随访体系包含2个系统,共计2个条目;术后1年随访体系无推荐条目。成功研发建立基于上述随访指标体系的结构化、智能化随访信息系统。目前,可通过院内电脑或移动设备访问该随访系统,已完成临床试用并常规用于随访。试运行期间结果表明,随访人员对该系统满意度较高,随访平均准确率提高了16%,随访时间降低10~15 min/例。 结论 依据与麻醉相关性的不同,在麻醉手术后不同时间需重点关注的结局指标存在差异,结构化随访信息系统可提高随访效率及准确率,为相关研究提供新的工具和方法,增加不同临床研究的可比性。

关键词: 麻醉; 随访; 指标体系; 信息系统
Abstract:

Objective To establish a follow‑up indicator system at different time points after anesthesia for surgery and develop a structured follow‑up information system to meet the needs for quality control and scientific research in anesthesiology. Methods Through literature review and expert consultation, a complete follow‑up indicator system was constructed. Then, an electric questionnaire was sent to anesthesiologists in hospitals across the country. The established follow‑up indicator system was evaluated through reliability analysis and validity analysis and a recommended follow‑up indicator system at postoperative 7 days, 30 days and 1 year was constructed. Through internet technology, marking semantic definition, and artificial intelligence technology, a structured follow‑up information system was established. Results From June 1 to 30, 2021, the questionnaire was distributed through the internet, and a total of 185 effective anonymous responses were collected from 94 hospitals in 24 provinces, with the Kendall coefficient of 0.525‒0.566 and the item‑level content validity index of 0.30‒0.98, respectively. The recommended follow‑up indicator system at postoperative 7 days included 30 items in 8 systems. The follow‑up indicator system at postoperative 30 days included 2 items in 2 systems. The follow‑up indicator system at postoperative 1 year did not have any recommended item. Based on the above follow‑up indicator system, a structured and intelligent follow‑up information system was successfully developed. The follow‑up system was able to be accessed through hospital computers or mobile devices, and have been routinely applied in follow‑up visits after clinical trials. The results of the trial run showed that the follow‑up system had high satisfaction from those followed‑up, with 16 % increase in average follow‑up accuracy, and 10‒15 min decrease in follow‑up time per case. Conclusions In light of their correlation with anesthesia, the overcome indicators that should be paid attention to at different time points after anesthesia for surgery are different. The structured follow‑up information system can improve the efficiency and accuracy of follow‑up visits, provide a new tool and method for related studies and increase the comparability of different clinical studies.

Key words: Anesthesia; Follow‑up visits; Indicator system; Information system