Comparison of Conventional Anesthesia Nurse Education and an Artificial Intelligence Chatbot (ChatGPT) Intervention on Preoperative Anxiety: A Randomized Controlled Trial

焦虑 随机对照试验 聊天机器人 医学 物理疗法 干预(咨询) 理解力 护理部 外科 精神科 人工智能 计算机科学 语言学 哲学
作者
Musashi Yahagi,Rie Hiruta,C M Miyauchi,Shoko Tanaka,A. Taguchi,Yuichi Yaguchi
出处
期刊:Journal of PeriAnesthesia Nursing [Elsevier BV]
卷期号:39 (5): 767-771 被引量:34
标识
DOI:10.1016/j.jopan.2023.12.005
摘要

ABSTRACT

Purpose

This study aimed to evaluate the effects of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety reduction and patient satisfaction in adult patients undergoing surgery under general anesthesia.

Design

The study used a single-blind, randomized controlled trial design.

Methods

In this study, 100 adult patients were enrolled and divided into two groups: 50 in the control group, in which patients received standard preoperative information from anesthesia nurses, and 50 in the intervention group, in which patients interacted with ChatGPT. The primary outcome, preoperative anxiety reduction, was measured using the Japanese State-Trait Anxiety Inventory (STAI) self-report questionnaire. The secondary endpoints included participant satisfaction (Q1), comprehension of the treatment process (Q2), and the perception of the AI chatbot's responses as more relevant than those of the nurses (Q3).

Findings

Of the 85 participants who completed the study, the STAI scores in the control group remained stable, whereas those in the intervention group decreased. The mixed-effects model showed significant effects of time and group-time interaction on the STAI scores; however, no main group effect was observed. The secondary endpoints revealed mixed results; some patients found that the chatbot's responses were more relevant, whereas others were dissatisfied or experienced difficulties.

Conclusions

The ChatGPT intervention significantly reduced preoperative anxiety compared with the control group; however, no overall difference in the STAI scores was observed. The mixed secondary endpoint results highlight the need for refining chatbot algorithms and knowledge bases to improve performance and satisfaction. AI chatbots should complement, rather than replace, human health care providers. Seamless integration and effective communication among AI chatbots, patients, and health care providers are essential for optimizing patient outcomes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
我是老大应助典雅的悟空采纳,获得10
刚刚
刚刚
刚刚
zyueyun发布了新的文献求助10
1秒前
喵喵女士发布了新的文献求助10
1秒前
liyuqi61148完成签到,获得积分10
1秒前
石化的海报完成签到,获得积分10
1秒前
赵酬海完成签到,获得积分10
2秒前
微笑萝完成签到,获得积分10
3秒前
TRACEY发布了新的文献求助10
4秒前
4秒前
xuan21发布了新的文献求助10
4秒前
露露发布了新的文献求助10
5秒前
yx完成签到,获得积分10
5秒前
脑洞疼应助xielunwen采纳,获得10
6秒前
HY完成签到 ,获得积分10
6秒前
8秒前
8秒前
8秒前
9秒前
10秒前
10秒前
张琪发布了新的文献求助10
11秒前
zyueyun完成签到,获得积分10
11秒前
他芯通完成签到,获得积分10
11秒前
11秒前
Song完成签到 ,获得积分0
12秒前
12秒前
13秒前
14秒前
lsnu_wsq发布了新的文献求助10
14秒前
听流沙完成签到 ,获得积分10
15秒前
15秒前
酷波er应助酥脆小鱼采纳,获得10
16秒前
科目三应助陈开心采纳,获得10
16秒前
16秒前
李华完成签到,获得积分10
17秒前
zhang完成签到,获得积分10
17秒前
17秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Markov Chain Monte Carlo 5000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Lengua e imagen en la comunicación digital 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7485065
求助须知:如何正确求助?哪些是违规求助? 9077352
关于积分的说明 19357975
捐赠科研通 7099869
什么是DOI,文献DOI怎么找? 3248222
关于科研通互助平台的介绍 2417476
邀请新用户注册赠送积分活动 2233622