机械通气患者智能沟通模式的构建及可用性评价

doi:10.3761/j.issn.2096-7446.2025.06.004

摘要/Abstract

摘要：

目的设计并开发基于微信小程序的ICU机械通气患者智能沟通模式，并评价该模式的可用性。方法在现况调查和质性访谈的基础上，构建智能沟通模式模块内容初稿，2021年12月进行专家咨询，由多领域团队共同设计，结合微信小程序，开发智能沟通模式。2022年8月—2023年2月，使用方便抽样法选取北京市4所三级甲等医院7个ICU的103例患者和103名护士为调查对象，采用基于技术接受模型改编的调查问卷，对智能沟通模式的可用性进行评价。结果该小程序主要包含沟通交流、微信用户、使用记录、意见反馈、设置文字大小5大模块。103例受试患者对智能沟通模式的可用性评分为（99.89±3.73）分（满分为105分）。103名受试护士对智能沟通模式的可用性评分为（169.35±4.65）分（满分为175分）。结论基于微信小程序开发的智能沟通模式，能满足ICU护士与机械通气患者的有效沟通，可应用于临床。

关键词: 机械通气, 沟通, 智能, 可用性评价, 重症监护室

Abstract:

Objective To design and develop an intelligent communication mode for mechanically ventilated patients in Intensive Care Unit（ICU） based on WeChat applet，and evaluate its usability. Methods On the basis of the current situation investigation and qualitative interviews，the first draft of the content of the intelligent communication model module was constructed，and expert consultation was conducted in December 2021. A multi-field team combined with WeChat applet to design and develop an intelligent communication model. From August 2022 to February 2023，103 patients and 103 nurses from a tertiary hospital in Beijing were selected using convenience sampling method，and a questionnaire adapted from the technology acceptance model was used to evaluate the usability of the intelligent communication mode. Results The small program mainly included five modules：communication，WeChat users，usage records，feedback and text size setting. The usability score of the 103 patients was（99.89±3.73） out of 105. The usability score of the 103 tested nurses was（169.35±4.65） out of 175.Conclusion The intelligent communication mode developed based on WeChat applet can meet the effective communication between ICU nurses and mechanically ventilated patients，and can be applied to clinical practice.

Key words: Mechanical Ventilation, Communication, Intelligence, Usability Evaluation, Intensive Care Unit

李淑杰, 高文慧, 孙雪莲, 梁潇, 肖倩. 机械通气患者智能沟通模式的构建及可用性评价[J]. 中华急危重症护理杂志, 2025, 6(6): 665-670.

LI Shujie, GAO Wenhui, SUN Xuelian, LIANG Xiao, XIAO Qian. Construction and usability evaluation of intelligent communication mode for patients with mechanical ventilation[J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 665-670.

图/表 3

参考文献 18

[1]	周丹, 杨青敏, 唐建国,等. 基于eCASH理念的舒适化浅镇静方案在机械通气患者中的应用效果研究[J]. 护士进修杂志, 2020, 35(11):1033-1036.
	Zhou D, Yang QM, Tang JG,et al. Study on the application effect of comfortable shallow sedation scheme based on eCASH concept in patients with mechanical ventilation[J]. J Nurses Train, 2020, 35(11):1033-1036.
[2]	李淑杰, 侯丽敏, 孙雪莲,等. ICU机械通气患者沟通需求的质性研究[J]. 中华现代护理杂志, 2024, 30(9):1137-1142.
	Li SJ, Hou LM, Sun XL,et al. A qualitative study on communication needs of ICU mechanical ventilation patients[J]. Chin J Mod Nurs, 2024, 30(9):1137-1142.
[3]	刘艳平, 熊杰, 黄素芳,等. ICU清醒患者住院体验现状及影响因素分析[J]. 中华急危重症护理杂志, 2024, 5(6):519-524.
	Liu YP, Xiong J, Huang SF,et al. Analysis of the current situation and influencing factors of hospitalization experience among ICU awake patients[J]. Chin J Emerg Crit Care Nurs, 2024, 5(6):519-524.
[4]	Ashkenazy S, Weissman C, DeKeyser Ganz F. Perception of discomfort by mechanical ventilation patients in the Intensive Care Unit:a qualitative study[J]. Intensive Crit Care Nurs, 2021, 64:103016.
[5]	胡爱萍, 向明芳, 张萱,等. 机械通气清醒患者沟通障碍及应对策略研究进展[J]. 实用医院临床杂志, 2022, 19(3):206-209.
	Hu AP, Xiang MF, Zhang X,et al. Research progress on communication difficulties and coping strategies for mechanically ventilated conscious patients[J]. Pract J Clin Med, 2022, 19(3):206-209.
[6]	Ju XX, Yang J, Liu XX. A systematic review on voiceless patients’ willingness to adopt high-technology augmentative and alternative communication in intensive care units[J]. Intensive Crit Care Nurs, 2021, 63:102948.
[7]	Istanboulian L, Rose L, Gorospe F,et al. Barriers to and facilitators for the use of augmentative and alternative communication and voice restorative strategies for adults with an advanced airway in the intensive care unit:a scoping review[J]. J Crit Care, 2020, 57:168-176. doi: S0883-9441(19)31737-X pmid: 32163752
[8]	孙霁雯, 钱彧, 罗雯懿,等. 基于使用者自建理念的儿科静脉维持药物计算小程序的研发及可用性研究[J]. 中华现代护理杂志, 2021, 27(9):1171-1175.
	Sun JW, Qian Y, Luo WY,et al. Development and usability of a pediatric intravenous maintenance drug calculation small program based on user-built concept[J]. Chin J Mod Nurs, 2021, 27(9):1171-1175.
[9]	倪延延, 张晋昕. 假设检验时样本含量估计中容许误差δ的合理选取[J]. 循证医学, 2011, 11(6):370-372.
	Ni YY, Zhang JX. How to determine permissible error δ value properly when computing sample sizes in hypothesis tests[J]. J Evid Based Med, 2011, 11(6):370-372.
[10]	Cheng C, Schommer L, Tarver M,et al. Exploring communication needs and challenges in the intensive care unit:a survey study from providers’ and patients’ perspectives[J]. Am J Speech Lang Pathol, 2024, 33(5):2311-2326.
[11]	毛文娟, 杜娟, 江明珠,等. 智能盆底康复APP的开发及在老年女性压力性尿失禁患者中的应用[J]. 中国护理管理, 2022, 22(8):1159-1164.
	Mao WJ, Du J, Jiang MZ,et al. Development of intelligent pelvic floor rehabilitation APP and its application in elderly female patients with Stress Urinary Incontinence[J]. Chin Nurs Manag, 2022, 22(8):1159-1164.
[12]	Söderberg A, Veronika K, Beth M A,et al. From fear to fight:Patients experiences of early mobilization in intensive care. A qualitative interview study[J]. Physiother Theory Pract, 2022, 38(6):750-758.
[13]	王映印, 张萱, 向明芳,等. 护士与ICU机械通气患者沟通行为观察研究[J]. 护理学杂志, 2022, 37(15):1-4.
	Wang YY, Zhang X, Xiang MF,et al. Nurses’ communication behavior with mechanically ventilated patients in the ICU:an observational study[J]. J Nurs Sci, 2022, 37(15):1-4.
[14]	居馨星, 蒋莉, 陆燕娜,等. ICU机械通气患者辅助沟通系统的构建与应用[J]. 护理学杂志, 2022, 37(18):8-11.
	Ju XX, Jiang L, Lu YN,et al. Construction and application of the augmentative and alternative communication for mechanically ventilated patients in the ICU[J]. J Nurs Sci, 2022, 37(18):8-11.
[15]	胡爱萍, 向明芳, 杨双,等. ICU气管插管病人带管期间真实体验与需求质性研究的Meta整合[J]. 循证护理, 2022, 8(10):1287-1296.
	Hu AP, Xiang MF, Yang S,et al. Qualitative researches on the real experience and needs of patients with tracheal intubation during mechanical ventilation in intensive care unit:a Meta integration[J]. Chin Evid Based Nurs, 2022, 8(10):1287-1296.
[16]	杨婷婷. 基于微信小程序的肺癌术后患者居家肺康复模式研究[D]. 长春: 吉林大学, 2022.
	Yang TT. Research on home lung rehabilitation model of patients with lung cancer after operation based on WeChat applet[D]. Changchun: Jilin University, 2022.
[17]	李慧. 基于微信小程序的直肠癌保肛术后患者肠道症状远程干预方案的构建及适用性评价[D]. 合肥: 安徽医科大学, 2023.
	Li H. Construction and applicability evaluation of remote intervention scheme for intestinal symptoms of rectal cancer patients after anus-preserving surgery based on WeChat applet[D]. Hefei: Anhui Medical University, 2023.
[18]	汪张毅, 庞晓丽, 王月,等. 基于CNKI数据库国内“互联网+” 护理服务研究的文献计量及可视化分析[J]. 护士进修杂志, 2021, 36(11):961-966,972.
	Wang ZY, Pang XL, Wang Y,et al. Bibliometrics and visualization analysis of research on “Internet+” nursing services based on CNKI database[J]. J Nurses Train, 2021, 36(11):961-966,972.