麻醉医师对人工智能患者自控镇痛的知识、态度和实践：中国东部江苏省的一项横断面研究。
Knowledge, attitude and practice toward to artificial intelligent patient-controlled analgesia among anesthesiologists: a cross-sectional study in east China's Jiangsu Province.
机构信息
Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Jiangsu, China.
Department of Anesthesiology, Jiangsu Cancer Hospital, The Affricated Cancer Hospital of Nanjing Medical University, Jiangsu, China.
出版信息
BMC Anesthesiol. 2024 Sep 20;24(1):335. doi: 10.1186/s12871-024-02724-1.
BACKGROUND
Inadequate postoperative analgesia greatly affects the recovery of patients, can poses a substantial health and economic burden. Patient-controlled analgesia is the most commonly used method for postoperative pain relief. However, the situation of inadequate analgesia still exists. Artificial intelligent Patient-controlled analgesia (Ai-PCA) system can make it easier for medical staff to understand the pain level of patients in order to deal with it in time. So far, several studies have investigated anesthesiologists' knowledge and management of Ai-PCA.
OBJECTIVE
This study aimed to assess the degree of anesthesiologists' knowledge, attitude and their practice (KAP) towards Ai-PCA in east China's Jiangsu Province.
METHODS
This cross-sectional study was conducted among 396 anesthesiologists working in tertiary hospitals. The data were collected using a pretested, structured and self-administered KAP questionnaire. The data were analyzed using Independent t-test, analysis of variance, Pearson's correlation and multiple linear regression tests.
RESULTS
Five hundred twelve questionnaires were collected, 396 anesthesiologists (190 Male, and 206 Female) were included in our study for statistical analysis. The score of knowledge, attitude, practice was 5.49 ((SD = 1.65; range:0-8), 37.45 (SD = 4.46; range:9-45), and 26.41 (SD = 9.61; range:9-45), respectively. Among the participants, 309 (78%) and 264 (66.7%) had good knowledge and positive attitudes toward Ai-PCA, respectively. However, only 81 (20.5%) of the participants exhibited good practice regarding Ai-PCA. Participation in Ai-PCA training showed a significant correlation with knowledge, attitude and practice scores. Besides, age, years of experience and professional titles of anesthesiologists were correlated with knowledge scores. The title of the anesthesiologist was associated with attitude scores. And the marital status of anesthesiologists was correlated with practice scores.
CONCLUSION
Our findings revealed the score of practice regarding Ai-PCA are very poor among anesthesiologists in east China's Jiangsu Province. The utilization of Ai-PCA was found to be impacted by whether the individual had received training. This calls for a comprehensive approach should be conducted for raising the level of knowledge, attitude, and practice of anesthesiologist on using Ai-PCA and more Ai-PCA training to be included in the daily learning.
TRIAL REGISTRATION
Chinese Clinical Trial Registry ( www.chictr.org.cn ; 27/10/2023; ChiCTR2300077070).
背景
术后镇痛不足会极大地影响患者的恢复，给患者带来沉重的健康和经济负担。患者自控镇痛是术后缓解疼痛最常用的方法。然而，镇痛不足的情况仍然存在。人工智能患者自控镇痛（Ai-PCA）系统可以使医务人员更容易了解患者的疼痛程度，以便及时进行处理。迄今为止，已有多项研究调查了麻醉医师对 Ai-PCA 的知识和管理情况。
目的
本研究旨在评估中国东部江苏省麻醉医师对 Ai-PCA 的知识、态度和实践程度（KAP）。
方法
本横断面研究纳入了 396 名在三级医院工作的麻醉医师。使用经过预测试的、结构化的和自我管理的 KAP 问卷收集数据。使用独立 t 检验、方差分析、Pearson 相关和多元线性回归检验对数据进行分析。
结果
共收集了 512 份问卷，其中 396 名麻醉医师（190 名男性，206 名女性）纳入本研究进行统计学分析。知识、态度、实践得分分别为 5.49（SD=1.65；范围：0-8）、37.45（SD=4.46；范围：9-45）和 26.41（SD=9.61；范围：9-45）。在参与者中，分别有 309 名（78%）和 264 名（66.7%）对 Ai-PCA 具有良好的知识和积极的态度。然而，只有 81 名（20.5%）参与者在 Ai-PCA 实践方面表现良好。参加 Ai-PCA 培训与知识、态度和实践得分呈显著相关。此外，麻醉医师的年龄、工作年限和职称与知识得分相关。麻醉医师的职称与态度得分相关。麻醉医师的婚姻状况与实践得分相关。
结论
我们的研究结果表明，中国东部江苏省的麻醉医师在使用 Ai-PCA 方面的实践得分非常低。Ai-PCA 的使用受到个体是否接受培训的影响。因此，需要采取综合方法提高麻醉医师使用 Ai-PCA 的知识、态度和实践水平，并将更多的 Ai-PCA 培训纳入日常学习中。
试验注册
中国临床试验注册中心（ www.chictr.org.cn ；2023 年 10 月 27 日；ChiCTR2300077070）。
Zotero 插件