用户画像在老年慢性病患者健康管理中应用的范围综述

doi:10.3761/j.issn.0254-1769.2025.02.018

摘要/Abstract

摘要：

目的对用户画像在老年慢性病患者健康管理中应用的相关研究进行范围综述，为老年慢性病患者的健康管理提供参考。方法按照范围综述方法学，系统检索万方数据库、中国知网、维普数据库、中国生物医学文献服务系统、PubMed、Embase、Web of Science、CINAHL、Cochrane Library共9个数据库，检索时限为建库至2024年1月，根据纳入和排除标准筛选文献，由2名研究者独立提取并归纳文献中的信息。结果共纳入10篇文献。构建用户画像的过程主要包括数据采集、用户特征提取及画像生成与可视化。用户画像在老年慢性病健康管理中应用范围较为广泛，常用于糖尿病、心力衰竭等老年慢性病患者的健康管理，包括制订个性化干预计划、提供个性化健康教育和信息、调整健康管理策略等内容。在老年慢性病患者中应用用户画像，可提升健康信息传递和健康服务的精准度、优化用户使用体验、提高老年慢性病患者自我管理能力和生活质量，优化医疗服务的可及性。结论用户画像作为一种新兴的健康信息整合手段，可以分析多维度的健康数据，为老年慢性病患者提供个性化、精准的健康管理，改善健康管理效果，降低医疗成本，提高其满意度和参与度，在老年慢性病患者健康管理中具有较好的应用前景。

关键词: 用户画像, 慢性病, 老年人, 范围综述, 健康管理, 护理

Abstract:

Objective To review the application of user profiles in the health management of elderly patients with chronic diseases，and to provide references for nursing staff to apply this technology to manage chronic diseases in the elderly. Methods According to the scoping review methodology，a systematic search was conducted across 9 databases including Wanfang Database，CNKI，VIP，Chinese Biomedical Abstracted Database，PubMed，Embase，Web of Science，CINAHL and Cochrane Library. The search time was from the establishment of the database to January 2024. The literature was screened according to inclusion and exclusion criteria，and the information in the literature was independently extracted and summarized by 2 researchers. Results A total of 10 pieces of the literature were included in the study. The results showed that the process of constructing user profiles mainly includes data collection，user feature extraction，and profiles generation and visualization. User profiles are widely used in the health management of chronic diseases in the elderly，commonly used in the management of diabetes，heart failure and other chronic diseases in the elderly，including the formulation of personalised intervention plans，the provision of personalised health education and information，and the adjustment of health management strategies. User profiles significantly enhanced the accuracy of health information delivery and health services，improved user experience，enhanced patients’ self-management ability and quality of life. Conclusion As an emerging health information integration tool，user profiles can merge and analyze multidimensional health data to provide personalized and precise health management for elderly patients with chronic diseases. This approach enhances remote monitoring，prevents and manages complications，improves treatment outcomes，and reduces medical costs，thereby demonstrating significant potential in the health management of elderly patients with chronic conditions.

Key words: User Profiles, Chronic Diseases, Aged, Scoping Review, Health Management, Nursing Care

施艳鸿, 颜缘娇, 林榕, 黄晨杉, 李红. 用户画像在老年慢性病患者健康管理中应用的范围综述[J]. 中华护理杂志, 2025, 60(2): 244-250.

SHI Yanhong, YAN Yuanjiao, LIN Rong, HUANG Chenshan, LI Hong. The application of user profiles in the health management of elderly patients with chronic diseases：a scoping review[J]. Chinese Journal of Nursing, 2025, 60(2): 244-250.

参考文献 24

[1]	国务院. “十四五”国民健康规划[EB/OL].(2022-04-27)[2024-03-21]. https://www.gov.cn/gongbao/content/2022/content_56950-39.htm.
	The State Council. The 14th five year national health plan[EB/OL].(2022-04-27)[2024-03-21]. https://www.gov.cn/gongbao/content/2022/content_56950-39.htm.
[2]	Lin L, Wang HH, Lu CY, et al. Adverse childhood experiences and subsequent chronic diseases among middle-aged or older adults in China and associations with demographic and socioe-conomic characteristics[J]. JAMA Netw Open, 2021, 4(10):e2130143.
[3]	Bernard RM, Seijas V, Davis M, et al. Mobile health self-mana-gement support for spinal cord injury:systematic literature review[J]. JMIR Mhealth Uhealth, 2023, 11:e42679.
[4]	Özer Ö, Ceyhan AA, Struijs SY. User profile of an online cog-nitive behavioral therapy self-help platform in Turkey[J]. Curr Psychol, 2024, 43(7):6022-6032.
[5]	Cai Y, Yu F, Kumar M, et al. Health recommender systems development,usage,and evaluation from 2010 to 2022:a scoping review[J]. Int J Environ Res Public Health, 2022, 19(22):15115.
[6]	张小艳, 李学靖, 杨丹, 等. 老年人久坐行为干预策略的范围综述[J]. 中华护理杂志, 2024, 59(8):1012-1020. DOI URL
	Zhang XY, Li XJ, Yang D, et al. Intervention strategies for reducing sedentary behavior among older adults:a scoping review[J]. Chin J Nurs, 2024, 59(8):1012-1020.
[7]	赵喜娟, 杨明莹, 边燕, 等. 健康推荐系统在癌症患者照护中应用的范围综述[J]. 中华护理杂志, 2023, 58(14):1780-1786. DOI URL
	Zhao XJ, Yang MY, Bian Y, et al. Application of Health Recommender System in nursing care of cancer patients:a scoping review[J]. Chin J Nurs, 2023, 58(14):1780-1786.
[8]	段甲存. 基于用户画像的在线健康社区老年用户精准推荐服务研究[D]. 哈尔滨: 黑龙江大学, 2023.
	Duan JC. Research on accurate recommendation service for elderly users in online health community based on user portrait[D]. Harbin: Heilongjiang University, 2023.
[9]	殷允杰, 朱媛媛. 智能推荐情境下老年在线健康社区的用户信息需求模型构建及其应用研究[J]. 情报科学, 2023, 41(8):155-161.
	Yin YJ, Zhu YY. The construction and application of user information demand model in the elderly online health community in the context of intelligent recommendation[J]. Inf Sci, 2023, 41(8):155-161.
[10]	Ten Klooster I, Wentzel J, Sieverink F, et al. Personas for better targeted eHealth technologies:user-centered design approach[J]. JMIR Hum Factors, 2022, 9(1):e24172.
[11]	Galliford N, Yin K, Blandford A, et al. Patient work personas of type 2 diabetes:a data-driven approach to persona develo-pment and validation[J]. Front Digit Health, 2022, 4:838651.
[12]	何振宇, 朱庆华, 白玫. 养老服务视角下城市老年人用户画像构建[J]. 情报杂志, 2021, 40(9):154-160.
	He ZY, Zhu QH, Bai M. The construction of urban elderly user portrait from the perspective of pension service[J]. J Intell, 2021, 40(9):154-160.
[13]	田镇豪. 基于目标导向视角的中老年住院患者用户原型建构研究[J]. 设计, 2020, 33(3):40-42.
	Tian ZH. Goal-directed perspective user archetype construc-tion of elderly inpatients[J]. Design, 2020, 33(3):40-42.
[14]	Haldane V, Koh JJK, Srivastava A, et al. User preferences and persona design for an mHealth intervention to support adherence to cardiovascular disease medication in Singapore:a multi-method study[J]. JMIR Mhealth Uhealth, 2019, 7(5):e10465.
[15]	Holden RJ, Kulanthaivel A, Purkayastha S, et al. Know thy eHealth user:development of biopsychosocial personas from a study of older adults with heart failure[J]. Int J Med Inform, 2017, 108:158-167.
[16]	LeRouge C, Ma J, Sneha S, et al. User profiles and personas in the design and development of consumer health techno-logies[J]. Int J Med Inform, 2013, 82(11):e251-e268.
[17]	Casas R, Blasco Marín R, Robinet A, et al. User modelling in ambient intelligence for elderly and disabled people[M]. Berlin,Heidelberg: Springer Berlin Heidelberg, 2008:114-122.
[18]	LeFevre A, Welte O, Moopelo K, et al. Preferences for onward health data use in the electronic age among maternity patients and providers in South Africa:a qualitative study[J]. Sex Reprod Health Matters, 2023, 31(4):2274667.
[19]	Shahid A, Nguyen TN, Kechadi MT. Big data warehouse for healthcare-sensitive data applications[J]. Sensors, 2021, 21(7):2353.
[20]	Helic D, Gadiraju U, Tkalcic M. Editorial:user modeling and recommendations[J]. Front Big Data, 2022, 5:923397.
[21]	Vansimaeys C, Benamar L, Balagué C. Digital health and ma-nagement of chronic disease:a multimodal technologies typology[J]. Int J Health Plann Manage, 2021, 36(4):1107-1125.
[22]	Li SJ, Tang YC. A simple framework of smart geriatric nurs-ing considering health big data and user profile[J]. Comput Math Methods Med, 2020, 2020:5013249.
[23]	Burton L, Rush KL, Seaton CL, et al. Generating user-driven patient personas to support preventive health care activities of rural-living unattached patients[J]. PEC Innov, 2024, 4:100274.
[24]	Fico G, Martinez-Millana A, Leuteritz JP, et al. User centered design to improve information exchange in diabetes care through eHealth:results from a small scale exploratory study[J]. J Med Syst, 2019, 44(1):2.