• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国护士使用移动护理应用程序的行为意愿的决定因素。

Determinants of the behavioral intention to use a mobile nursing application by nurses in China.

机构信息

Medical College, Xinyang Normal University, Xinyang, China.

PICC Outpatient, Qilu Hospital of Shandong University, Jinan, China.

出版信息

BMC Health Serv Res. 2021 Mar 12;21(1):228. doi: 10.1186/s12913-021-06244-3.

DOI:10.1186/s12913-021-06244-3
PMID:33712012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7953719/
Abstract

BACKGROUND

Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses' behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses' acceptance of a mobile nursing application.

METHODS

A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model.

RESULTS

All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses' behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses' behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively.

CONCLUSION

With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

摘要

背景

尽管移动护理应用已经开始在护理领域得到采用,但很少有研究关注护士对其的行为意愿。本研究旨在深入了解未来中国护士对移动护理应用的使用意愿。本研究采用统一技术接受和使用理论的扩展模型来检验中国护士对移动护理应用的接受程度。

方法

共有 1207 名护士参与了横断面调查。护士大多数为女性(96.2%)。参与者的平均年龄为 34.18(SD 7.39)岁。使用 AMOS 结构方程模型检验了假设关系。

结果

所有构念均表现出可接受的信度和效度水平,Cα 和 CR>0.7,AVE>0.5。统一技术接受和使用理论模型的扩展对护士对移动护理应用的行为意愿具有良好的解释力。尽管努力期望和感知风险对护士使用移动护理应用的行为意愿的影响出乎意料地不显著,但绩效期望、社会影响、便利条件、自我效能感和感知激励对护士使用移动护理应用的行为意愿有显著影响,β=0.259,p<0.001,β=0.296,p<0.001,β=0.063,p=0.037,β=0.344,p<0.001,β=0.091,p=0.001。

结论

该模型解释了使用移动护理应用意愿的 70.2%的方差,可以为潜在的采用者提供帮助,进一步的研究应该测试移动护理应用的实际使用行为,并调查相关因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/15b0331bc179/12913_2021_6244_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/cd3c11f02772/12913_2021_6244_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/15b0331bc179/12913_2021_6244_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/cd3c11f02772/12913_2021_6244_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/15b0331bc179/12913_2021_6244_Fig2_HTML.jpg

相似文献

1
Determinants of the behavioral intention to use a mobile nursing application by nurses in China.中国护士使用移动护理应用程序的行为意愿的决定因素。
BMC Health Serv Res. 2021 Mar 12;21(1):228. doi: 10.1186/s12913-021-06244-3.
2
Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.接受临床决策支持系统以预防护士静脉血栓栓塞症:UTAUT 模型的扩展。
BMC Med Inform Decis Mak. 2022 Aug 19;22(1):221. doi: 10.1186/s12911-022-01958-8.
3
Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.基于扩展的技术接受与使用统一理论模型探讨影响患者使用糖尿病管理应用程序意愿的因素:网络调查
J Med Internet Res. 2019 Aug 13;21(8):e15023. doi: 10.2196/15023.
4
Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study.健身应用程序使用的决定因素,以及教育、动机和游戏化相关应用程序功能对身体活动意向的调节作用:横断面调查研究。
J Med Internet Res. 2021 Jul 13;23(7):e26063. doi: 10.2196/26063.
5
Health professionals' acceptance of mobile-based clinical guideline application in a resource-limited setting: using a modified UTAUT model.在资源有限的环境下,健康专业人员对基于移动的临床指南应用的接受程度:使用修正后的UTAUT 模型。
BMC Med Educ. 2024 Jun 25;24(1):689. doi: 10.1186/s12909-024-05680-z.
6
"Assessment of the social influence and facilitating conditions that support nurses' adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model".利用科技接受统一理论(UTAUT)模型评估加纳护士对医院电子信息管理系统(HEIMS)采用的社会影响和促进条件。
BMC Med Inform Decis Mak. 2019 Nov 21;19(1):230. doi: 10.1186/s12911-019-0956-z.
7
Analysis of the factors influencing healthcare professionals' adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital.在一家三级医院中,运用技术接受与使用统一理论(UTAUT)分析影响医疗保健专业人员采用移动电子病历(EMR)的因素。
BMC Med Inform Decis Mak. 2016 Jan 30;16:12. doi: 10.1186/s12911-016-0249-8.
8
Factors influencing nurses' acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology.影响伊朗护士接受医院信息系统的因素:技术接受与使用统一理论的应用
Health Inf Manag. 2014;43(3):23-8. doi: 10.1177/183335831404300303.
9
The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.统一科技接受与使用理论在内部控制健康源与移动医疗采纳关系中的中介作用:横断面研究。
J Med Internet Res. 2021 Dec 29;23(12):e28086. doi: 10.2196/28086.
10
Student nurses' attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study.护生对人工智能(AI)技术在护理实践中的态度、感知利用度和采用意愿:一项横断面研究。
Nurse Educ Pract. 2023 Nov;73:103815. doi: 10.1016/j.nepr.2023.103815. Epub 2023 Oct 19.

引用本文的文献

1
Intention to use mobile health in antenatal care service: Among primary health care unit workers, Bench-Sheko zone, southwest Ethiopia.在埃塞俄比亚西南部的本奇-谢科地区,基层医疗保健单位工作人员使用移动健康技术提供产前护理服务的意向。
PLOS Digit Health. 2025 Apr 22;4(4):e0000587. doi: 10.1371/journal.pdig.0000587. eCollection 2025 Apr.
2
Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.心理健康从业者对人工智能技术的认知与采用意愿:一项国际混合方法研究。
BMC Health Serv Res. 2025 Apr 16;25(1):556. doi: 10.1186/s12913-025-12715-8.
3
Enhancing digital readiness and capability in healthcare: a systematic review of interventions, barriers, and facilitators.

本文引用的文献

1
Navigational Needs and Preferences of Hospital Patients and Visitors: What Prospects for Smart Technologies?医院患者和访客的导航需求和偏好:智能技术有哪些前景?
Int J Environ Res Public Health. 2021 Jan 22;18(3):974. doi: 10.3390/ijerph18030974.
2
Adoption of telemedicine applications among Saudi citizens during COVID-19 pandemic: An alternative health delivery system.沙特公民在 COVID-19 大流行期间采用远程医疗应用:一种替代医疗服务系统。
J Infect Public Health. 2020 Dec;13(12):1845-1855. doi: 10.1016/j.jiph.2020.10.017. Epub 2020 Oct 23.
3
Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students.
提升医疗保健领域的数字准备度和能力:对干预措施、障碍及促进因素的系统评价
BMC Health Serv Res. 2025 Apr 4;25(1):500. doi: 10.1186/s12913-025-12663-3.
4
Intention to use telemonitoring for chronic illness management and its associated factors among nurses and physicians at public hospitals in Bahir Dar, northwest Ethiopia: using a modified UTAUT2 model.埃塞俄比亚西北部巴赫达尔市公立医院护士和医生使用远程监测进行慢性病管理的意愿及其相关因素:采用改良的UTAUT2模型
Front Health Serv. 2025 Mar 6;5:1460077. doi: 10.3389/frhs.2025.1460077. eCollection 2025.
5
Health workers' adoption of digital health technology in low- and middle-income countries: a systematic review and meta-analysis.低收入和中等收入国家卫生工作者对数字健康技术的采用:一项系统评价和荟萃分析。
Bull World Health Organ. 2025 Feb 1;103(2):126-135F. doi: 10.2471/BLT.24.292157. Epub 2024 Dec 3.
6
Intention to use patient portal and its predictors among patient with diabetes in Amhara region referral hospitals, Northwest Ethiopia, 2023: UTAUT-2 model.2023年埃塞俄比亚西北部阿姆哈拉地区转诊医院糖尿病患者使用患者门户网站的意愿及其预测因素:UTAUT-2模型
Digit Health. 2024 Sep 25;10:20552076241277177. doi: 10.1177/20552076241277177. eCollection 2024 Jan-Dec.
7
Analyzing health service employees' intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model.分析埃塞俄比亚西南部卫生服务员工使用电子健康系统的意愿:使用 UTAUT-2 模型。
BMC Health Serv Res. 2024 Sep 27;24(1):1136. doi: 10.1186/s12913-024-11567-y.
8
How to promote telemedicine in underdeveloped cities in central China? Qualitative interviews with medical personnel in tertiary A-level hospital of Xinyang City.如何在中国中部欠发达城市推广远程医疗?对信阳市三级甲等医院医务人员的定性访谈。
Digit Health. 2024 Sep 5;10:20552076241277670. doi: 10.1177/20552076241277670. eCollection 2024 Jan-Dec.
9
Acceptance of mobile application-based clinical guidelines among health professionals in Northwestern Ethiopia: A mixed-methods study.埃塞俄比亚西北部卫生专业人员对基于移动应用程序的临床指南的接受度:一项混合方法研究。
Digit Health. 2024 Jul 21;10:20552076241261930. doi: 10.1177/20552076241261930. eCollection 2024 Jan-Dec.
10
Analyzing Preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool.分析影响将通信人工智能作为教育工具的行为意向的先前因素。
Heliyon. 2024 Feb 6;10(3):e25896. doi: 10.1016/j.heliyon.2024.e25896. eCollection 2024 Feb 15.
测量新技术接受程度的心理计量学分析(UTAUT),应用于牙科学生使用触觉虚拟模拟器。
Eur J Dent Educ. 2020 Nov;24(4):706-714. doi: 10.1111/eje.12559. Epub 2020 Jul 9.
4
Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF.理解消费者对可穿戴医疗设备的接受度:UTAUT 和 TTF 的综合模型。
Int J Med Inform. 2020 Jul;139:104156. doi: 10.1016/j.ijmedinf.2020.104156. Epub 2020 Apr 24.
5
A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature.基于元分析的修正通用技术接受和使用理论(meta-UTAUT):新兴文献综述。
Curr Opin Psychol. 2020 Dec;36:13-18. doi: 10.1016/j.copsyc.2020.03.008. Epub 2020 Apr 3.
6
MHealth and perceived quality of care delivery: a conceptual model and validation.移动医疗与感知的医疗服务质量:概念模型与验证。
BMC Med Inform Decis Mak. 2020 Feb 27;20(1):41. doi: 10.1186/s12911-020-1049-8.
7
Exploring Family Nurse Practitioners' Practices in Recommending mHealth Apps to Patients.探索家庭执业护士向患者推荐移动健康应用程序的实践情况。
Comput Inform Nurs. 2020 Feb;38(2):71-79. doi: 10.1097/CIN.0000000000000580.
8
Use of Health Apps by Nurses for Professional Purposes: Web-Based Survey Study.护士出于专业目的使用健康类应用程序:基于网络的调查研究。
JMIR Mhealth Uhealth. 2019 Nov 1;7(11):e15195. doi: 10.2196/15195.
9
Beyond TAM and UTAUT: Future directions for HIT implementation research.超越 TAM 和 UTAUT:HIT 实施研究的未来方向。
J Biomed Inform. 2019 Dec;100:103315. doi: 10.1016/j.jbi.2019.103315. Epub 2019 Oct 17.
10
A comparison study of methods for estimation of a burn surface area: Lund and Browder, e-burn and Mersey Burns.烧伤面积估算方法的比较研究:Lund 和 Browder、e-burn 和 Mersey Burns。
Burns. 2020 Mar;46(2):483-489. doi: 10.1016/j.burns.2019.08.014. Epub 2019 Sep 24.