老年住院患者对智慧护理服务体验的质性研究

doi:10.3761/j.issn.0254-1769.2025.12.009

摘要/Abstract

摘要： 目的分析和理解老年住院患者在接受智慧护理服务过程中的体验与感受，为推进智慧护理服务模式的发展提供参考。方法采用描述现象学研究方法，应用目的抽样法于2024年10月—12月选取北京市某三级甲等综合医院的14例老年住院患者进行半结构式访谈，运用主题分析法进行资料分析。结果共归纳出3个主题，包括智慧护理服务的接纳挑战与便利性感知双轨并行、智慧护理服务的适老化革新应与人文关怀融合、智慧护理服务的健康导向与隐私安全顾虑。结论老年住院患者普遍认可智慧护理服务在提升便利性及自身健康中的效果，但仍面临挑战，并提出了明确的适老化需求，同时也表达了对隐私安全的担忧。医护人员需设计多方面的适老化革新或干预策略，以拓展智慧护理的可及性，确保老年患者受益。

关键词: 智慧护理, 老年护理, 护理信息化, 质性研究

Abstract:

Objective To analyze and understand the experiences and feelings of elderly inpatients during the use of intelligent nursing services，providing a scientific basis for the development of intelligent nursing models in intelligent ward systems. Methods Adopting the phenomenological research method，purposive sampling was used to select 14 elderly inpatients from a tertiary hospital in Beijing between October and December 2024 for semi-structured interviews. Thematic analysis was applied for data analysis. Results The experiences of elderly inpatients with intelligent nursing services were mainly summarized into 3 themes，including the dual track of acceptance challenges and convenience perception of intelligent nursing services，the integration of aging-appropriate innovation and humanistic care in intelligent nursing services，and the health orientation and privacy security concerns of intelligent nursing services. Conclusion Elderly inpatients can generally recognize the utility of intelligent nursing services in enhancing convenience and their health，but they still face challenges，and have clear aging-appropriate needs，while expressing concerns about privacy security. Managers and healthcare professionals need to design multi-faceted aging-appropriate innovations or intervention strategies to expand the accessibility of intelligent nursing，ensuring that elderly patients can truly benefit from these.

Key words: Intelligent Nursing, Elderly Care, Nursing Informatization, Qualitative Research

徐耀峥, 骆金铠, 毛文平, 易祖玲, 郭金玉. 老年住院患者对智慧护理服务体验的质性研究[J]. 中华护理杂志, 2025, 60(12): 1468-1473.

XU Yaozheng, LUO Jinkai, MAO Wenping, YI Zuling, GUO Jinyu. A qualitative study on elderly inpatients' experiences with intelligent nursing services[J]. Chinese Journal of Nursing, 2025, 60(12): 1468-1473.

图/表 1

参考文献 24

[1]	国家统计局. 王萍萍:人口总量降幅缩窄,人口素质持续提升[EB/OL].(2025-01-17)[2025-02-16]. https://www.stats.gov.cn/sj/sjjd/202501/t20250117_1958337.html.
	National Bureau of Statistics. Wang Pingping: the decline in total population has narrowed,and the quality of the population continues to improve[EB/OL]. (2025-01-17)[2025-02-16]. https://www.stats.gov.cn/sj/sjjd/202501/t20250117_1958337.html.
[2]	吴钰, 陈霞, 张叶, 等. 国内外智慧护理研究热点及发展趋势的可视化分析[J]. 军事护理, 2024, 41(5):85-89.
	Wu Y, Chen X, Zhang Y, et al. Research hotspots and trends of smart nursing in China and abroad:a visualized analysis[J]. Mil Nurs, 2024, 41(5):85-89.
[3]	陈沁, 张军, 杨冰香, 等. 国内外智慧护理服务模式的研究进展[J]. 护理学报, 2024, 31(17):17-21. DOI
	Chen Q, Zhang J, Yang BX, et al. Research progress on smart nursing service models at home and abroad[J]. J Nurs(China), 2024, 31(17):17-21.
[4]	张奕, 陈香萍, 高卿卿, 等. 护理信息系统有效性评价及相关理论模型的研究进展[J]. 中华护理杂志, 2021, 56(11):1736-1740. DOI URL
	Zhang Y, Chen XP, Gao QQ, et al. Research progress of effectiveness evaluation of nursing information system and related theoretical models[J]. Chin J Nurs, 2021, 56(11):1736-1740. DOI URL
[5]	Koebe P, Bohnet-Joschko S. The impact of digital transformation on inpatient care:mixed methods study[J]. JMIR Public Health Surveill, 2023,9:e40622.
[6]	王红云, 高维杰, 胡燕. 智慧养老护理背景下我国老年人新媒介素养现状及启示[J]. 护理学杂志, 2018, 33(8):97-100.
	Wang HY, Gao WJ, Hu Y. A review of older adults' literacy in new media in the context of smart elderly care in China[J]. J Nurs Sci, 2018, 33(8):97-100.
[7]	蒲可心, 张红, 宋洁, 等. 智慧护理在老年护理中应用的研究进展[J]. 护理研究, 2023, 37(21):3899-3902.
	Pu KX, Zhang H, Song J, et al. Research progress on application of intelligent nursing in geriatric nursing[J]. Chin Nurs Res, 2023, 37(21):3899-3902.
[8]	孙超, 弓少华, 胡慧秀. 护理信息化在老年患者健康管理中的应用进展[J]. 中国护理管理, 2022, 22(10):1446-1452.
	Sun C, Gong SH, Hu HX. Research progress of nursing informatization in the health management for elderly patients[J]. Chin Nurs Manag, 2022, 22(10):1446-1452.
[9]	Neubauer BE, Witkop CT, Varpio L. How phenomenology can help us learn from the experiences of others[J]. Perspect Med Educ, 2019, 8(2):90-97.
[10]	Braun V, Clarke V. Using thematic analysis in psychology[J]. Qual Res Psychol, 2006, 3(2):77-101.
[11]	Neves BB, Petersen A, Vered M, et al. Artificial intelligence in long-term care:technological promise,aging anxieties,and sociotechnical ageism[J]. J Appl Gerontol, 2023, 42(6):1274-1282.
[12]	Holden RJ, Karsh BT. The technology acceptance model:its past and its future in health care[J]. J Biomed Inform, 2010, 43(1):159-172.
[13]	Zhu JT, Weng HT, Ou P, et al. Use and acceptance of smart elderly care apps among Chinese medical staff and older individuals:web-based hybrid survey study[J]. JMIR Form Res, 2023,7:e41919.
[14]	Ryu B, Kim S, Lee KH, et al. Inpatient satisfaction and usage patterns of personalized smart bedside station system for patient-centered service at a tertiary university hospital[J]. Int J Med Inform, 2016,95:35-42.
[15]	Elavsky S, Knapova L, Janiš K, et al. Multiple perspectives on the adoption of SMART technologies for improving care of older people:mixed methods study[J]. J Med Internet Res, 2024, 26:e45492.
[16]	Lou SY, Liu H. Awareness,use,and need of smart care for older adults:a comparative study based on a survey in Macao,China[J]. Front Public Health, 2023,11:1135164.
[17]	潘爱红, 于卫华, 吴玉艳, 等. 智慧护理策略在老年病区的应用与效果评价[J]. 中国护理管理, 2020, 20(11):1621-1624.
	Pan AH, Yu WH, Wu YY, et al. Effects of intellectual technology-based nursing strategy in geriatric ward[J]. Chin Nurs Manag, 2020, 20(11):1621-1624.
[18]	Jian WS, Wang JY, Rahmanti AR, et al. Voice-based control system for smart hospital wards:a pilot study of patient acceptance[J]. BMC Health Serv Res, 2022, 22(1):287.
[19]	Anghel I, Cioara T, Moldovan D, et al. Smart environments and social robots for age-friendly integrated care services[J]. Int J Environ Res Public Health, 2020, 17(11):3801.
[20]	郭永真, 彭若彤, 李晓阳, 等. 移动医疗准备度的概念分析及启示[J]. 中华护理杂志, 2024, 59(23):2940-2945. DOI URL
	Guo YZ, Peng RT, Li XY, et al. Concept analysis and enligh-tenment of mobile health readiness[J]. Chin J Nurs, 2024, 59(23):2940-2945.
[21]	Shaban-Nejad A, Michalowski M, Buckeridge DL. Health inte-lligence:how artificial intelligence transforms population and personalized health[J]. NPJ Digit Med, 2018,1:53.
[22]	孙雪, 王丽娜, 沈鑫华, 等. 信息化评估与监测技术在老年认知障碍人群筛查中的应用进展[J]. 中华护理杂志, 2021, 56(5):699-704. DOI URL
	Sun X, Wang LN, Shen XH, et al. Progress in the application of information-based assessment and monitoring technology in the screening of old adults with cognitive impairment[J]. Chin J Nurs, 2021, 56(5):699-704. DOI URL
[23]	Galambos C, Rantz M, Craver A, et al. Living with intelligent sensors:older adult and family member perceptions[J]. Comput Inform Nurs, 2019, 37(12):615-627. DOI PMID
[24]	Coahran M, Hillier LM, Van Bussel L, et al. Automated fall detection technology in inpatient geriatric psychiatry:nurses' perceptions and lessons learned[J]. Can J Aging, 2018, 37(3):245-260. DOI PMID