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Journal of Library and Information Science in Agriculture ›› 2024, Vol. 36 ›› Issue (7): 34-49.doi: 10.13998/j.cnki.issn1002-1248.24-0438

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A Review of Health Information Behaviors of Older People from the Perspective of Topic Differentiation

Guowei GAO1, Shanshan ZHANG1, Jialan YU2()   

  1. 1. Department of Management, LiaoNing Normal University, Dalian 116000
    2. The 967th Hospital of PLA Joint Logistic Support Force, Dalian 116000
  • Received:2024-05-31 Online:2024-07-05 Published:2024-11-26
  • Contact: Jialan YU

Abstract:

[Purpose/Significance] As China enters the threshold of an aging society, the health problem of the elderly group has become the focus of attention from all walks of life. The demand for health information among this group has increased dramatically, not only because of the physiological changes associated with aging, but also because they have high expectations of how health information can improve their quality of life. As a unique branch in the field of information behavior, the research on the health information behavior of the elderly presents specific complexity in its object, phenomenon and mechanism. The acquisition, processing and application of health information has a profound impact on the health behavior of older people, particularly the potential for inappropriate drug use and overuse of drugs, which is often closely linked to their health information behavior. Therefore, in-depth research in this area is urgent and important. [Methods/Process] Based on the topic differentiation perspective, this paper conducted a comprehensive and in-depth literature review on the occurrence mechanism, internal influencing factors (such as cognition, emotion, social support, etc.) and external environment (such as family, community, and medical system) of health information behavior of older people. This review aims to identify the status quo, hot spots and shortcomings of current research, and to provide a valuable reference frame of reference and inspirational direction for future research. [Results/Conclusions] The study found that there were significant differences between the concerns of the elderly and the young and middle-aged in health information behavior, mainly reflected in the preferences for types of health information and factors influencing health information behavior. There are also large differences between urban and rural areas, social backgrounds at different stages of development, different social characteristics (such as educational background, economic status), individual characteristics (such as age, gender, health status) and health information behaviors in different scenarios. In terms of study objects, future studies can design experiments with control groups to explore more precisely the specific differences in health information behaviors of older people at different stages of development and with different characteristics. In terms of research content, we should broaden our horizons and introduce a variety of theoretical models in combination with the trend of social development, so that the research field not only covers a wider area, but also improves the depth of research. In terms of research methods, future research should actively explore new perspectives, adopt innovative research methods, such as the survey experiment method, and try to combine modern technical means, such as big data analysis and artificial intelligence to obtain more comprehensive and accurate data resources, while exploring and developing new research methods and analysis tools to promote the continuous in-depth development of research in this field.

Key words: health information, older people's health information behavior, literature review

CLC Number: 

  • C913.6

Fig.1

Literature screening process"

Table 1

Factors influencing the health information behavior of older people"

研究主题 影响因素 相关参考文献
社会属性与个体特征对老年人健康信息行为的影响

社会属性:收入、工作与否、人格特质、爱好等

人口统计群体特征:性别、受教育程度等

老年人生活方式

AGYEMANG DUAH W[15]

PAIMRE M[16]

THEIS S[18]

TENNANT B[19]

CHOI W[20]

黄镇[17]

理论模型指导下的老年人健康信息行为影响因素研究

个体因素、需求因素、健康因素、信息因素、社会因素

文化程度、感知价值性、自我效能、主观规范

健康行为动机、自我效能感、健康行为转变

搜寻经验以及老年人未来使用此类服务的意图

苏航[21]

张铭鹪[22]

CHANG S J[23]

李启玉[24]

Table 2

Differences in health information behavior between urban and rural older people"

研究主题 差异方面 差异原因 相关参考文献
城乡老年人健康信息行为差异研究 受教育水平、收入水平、代际关系、智能设备的使用、自我感知老化、解决健康问题的经验、对健康信息的表达、获取健康信息的意愿 个人认知限制、客观条件限制、服务供给问题

陈佳佳[5]

王月莹[25]

感知易用性、社会影响、个体行为态度和自我效能 周凡姝[26]
依赖替代搜寻者 吴迪[27]

Table 3

health information behavior of older people at different stages of life"

研究主题 低龄老年人行为特征 高龄老年人行为特征 相关参考文献
不同发展阶段下老年人健康信息行为研究 关注疾病预防与身心保健方面的健康信息 关注特定的疾病治疗或者社会提供的便利医疗服务等信息

苏航[21]

陈佳佳[5]

姚雨琪[28]

更频繁地使用互联网寻找健康信息 BROCKMEYER D[29]

Table 4

Offline health information behavior of older people"

研究主题 最受老年人信任的信息源 相关参考文献
线下老年人健康信息行为研究 医疗保健者、药剂师 刘嫣[30]
朋友、亲戚
生物信息源、医护人员

CHAUDHURI[31]

彭骏[32]

配偶、伴侣

CHOI W[20]

CHECTON M G[34]

Table 5

Online health information behavior of older people"

研究主题 影响因素 相关代表文献
线上老年人健康信息行为研究

正向影响因素:

科学技术自我效能感、科学技术创新意识、专业支持和社会支持

健康应用程序的使用

积极老龄化态度、自我能效感高、受到强烈主观规范影响、对网络健康信息感知有用性高、感知风险较低

生活在偏远地区、不方便出行

MA, XM, LIU[36]

THEIS S[18]

张晶[37]

POURRAZAVI S[38]

SHARIT J[8]

负向影响因素:

焦虑情绪

感知成本、信息过载、服务过载

高冰洁[39]

Table 6

References to research on health information behavior of older people in experimental settings"

研究主题 影响因素 相关参考文献
实验场景下老年人健康信息行为研究

缺乏健康知识和网络检索知识

处于改变或预防不良健康信息行为情境中

吴丹[40]

Table 7

References related to other research topics"

研究主题 相关参考文献
老年人盲目就医行为 许广梅[41]
老年人健康信息搜寻行为与成功老龄化 RD E M M[42]
老年人中医药信息行为 侯小妮[43]

Table 8

Summary of existing research objects and suggestions for future research objects"

比较视角 现有研究 未来研究
研究对象 一般老年人群体

1. 年龄对照组:低龄、中龄、高龄

2. 健康状况对照组:健康、患有慢性疾病、失能等

3. 社会经济特征对照组:教育程度、收入水平、居住地区等

4. 亚文化特征差异对照组

Table 9

Summary of existing research content and suggestions for future research content"

比较视角 现有研究 未来研究
研究内容

1. 老年人健康信息行为影响因素研究

2. 城乡老年人健康信息行为研究

3. 不同发展阶段下的老年人健康信息行为研究

4. 不同场景下的老年人健康信息行为研究

1. 老年人健康信息行为影响因素总体解释模型研究

2. 老年人健康信息需求、动机与体验

3. 老年人健康信息行为决策模型

4. 数智社会环境下老年人健康信息行为

5. 老年人健康数据安全和健康隐私保护

6. 个性化健康监管、健康信息系统和健康信息平台

Table10

Summary of existing research methods and suggestions for future research methods"

比较视角 现有研究 未来研究
研究方法

1. 访谈法

2. 问卷调查法

3. 访谈法和问卷调查法相结合

1. 融入观察法

2. 使用调查实验法

3. 利用现代技术手段,如大数据分析和人工智能

4. 设计老年人健康信息行为测量与量表

5. 结合多种理论模型,如社会认知理论、健康信念模型、信息行为理论等

6. 行为信息学视角

1
杨倩. 新医改下医药制造产业基金中项目投资策略的研究——以A公司为例[D]. 南京: 东南大学, 2020.
YANG Q. Research on project investment strategy of pharmaceutical manufacturing industry fund under the new medical reform - Take company a as an example[D]. Nanjing: Southeast University, 2020.
2
中华人民共和国中央人民政府. 《“十四五”健康老龄化规划》印发——推动老年健康服务高质量发展[EB/OL]. [2024-03-23].
3
新华网. 中国共产党第十九届中央委员会第五次全体会议公报[EB/OL]. [2020-10-29].
4
徐芳, 刘婉华, 牟小波. 国内外健康信息行为研究综述[J]. 图书馆研究与工作, 2021(8): 14-20, 45.
XU F, LIU W H, MOU X B. Review on health information behaviors in China and foreign countries[J]. Library science research & work, 2021(8): 14-20, 45.
5
中华人民共和国中央人民政府. 中华人民共和国老年人权益保障法[EB/OL]. [2024-03-23].
6
陈佳佳. 老年人对健康信息的认知获取和利用现状研究[D]. 贵州: 贵州财经大学, 2022.
CHEN J J. A study on the current status of cognitive access and use of health information in the elderly[D]. Guizhou: Guizhou University of Finance and Economics, 2022.
7
PÁLSDÓTTIR Á. Preferences in the use of social media for seeking and communicating health and lifestyle information[J]. Information research, 2014, 19(4): 16.
8
SHARIT J, HERNÁNDEZ M A, CZAJA S J, et al. Investigating the roles of knowledge and cognitive abilities in older adult information seeking on the web[J]. ACM transactions on computer-human interaction, 2008, 15(1): 3.
9
侯小妮, 孙静. 北京市三甲医院门诊患者互联网健康信息查寻行为研究[J]. 图书情报工作, 2015, 59(20): 126-131, 11.
HOU X N, SUN J. Research on Internet health information searching behaviors of outpatients from tertiary referral hospitals in Beijing[J]. Library and information service, 2015, 59(20): 126-131, 11.
10
王蔚. 微信老年用户的健康信息采纳行为研究[J]. 国际新闻界, 2020, 42(3): 91-107.
WANG W. Study on health information adoption behavior of elderly WeChat users[J]. Chinese journal of journalism & communication, 2020, 42(3): 91-107.
11
张鑫, 闫一晴. 面向老年人的国内健康信息学核心主题与研究进展[J]. 河北科技图苑, 2023, 36(3): 90-96.
ZHANG X, YAN Y Q. Core themes and research progress of health informatics for the elderly in China[J]. Hebei library journal of science and technology, 2023, 36(3): 90-96.
12
MOORE B B, YOUNG C C. Library/information services and the nation's elderly[J]. Journal of the American society for information science, 1985, 36(6): 364-368.
13
EK S. Gender differences in health information behaviour: A Finnish population-based survey[J]. Health promotion international, 2015, 30(3): 736-745.
14
高冰洁, 张宁. 老年人在线健康信息行为的研究现状与前沿展望[J]. 图书馆学研究, 2020(6): 9-16, 77.
GAO B J, ZHANG N. Research status and prospect of online health information behaviors of the elderly[J]. Research on library science, 2020(6): 9-16, 77.
15
AGYEMANG-DUAH W, ARTHUR-HOLMES F, PEPRAH C, et al. Dynamics of health information-seeking behaviour among older adults with very low incomes in Ghana: A qualitative study[J]. BMC public health, 2020, 20(1): 928.
16
PAIMRE M. Online health information seeking behaviour of working and non-working estonian older adults as compared to students[C]. Prague: ICT4AWE, 2020: 77-84.
17
黄镇, 王秋鹏, 陈平, 等. 北京市老年人社交媒体使用行为、健康信息分享行为与大五人格类型的关系[J]. 医学与社会, 2023, 36(11): 107-112.
HUANG Z, WANG Q P, CHEN P, et al. Association of big five personality types with social media use and health information sharing behavior in older adults in Beijing[J]. Medicine and society, 2023, 36(11): 107-112.
18
THEIS S, SCHÄFER D, SCHÄFER K, et al. What do you need to know to stay healthy? –Health information needs and seeking behaviour of older adults in Germany[M]//Advances in Intelligent Systems and Computing. Cham: Springer International Publishing, 2018: 516-525.
19
TENNANT B, STELLEFSON M, DODD V, et al. eHealth literacy and web 2.0 health information seeking behaviors among baby boomers and older adults[J]. Journal of medical Internet research, 2015, 17(3): e70.
20
CHOI W. Older adults' health information behavior in everyday life settings[J]. Library & information science research, 2019, 41(4): 100983.
21
苏航. 老年人健康信息获取行为研究——以河南省为例[D]. 郑州: 郑州大学, 2021.
SU H. Research on health information acquisition behavior of the elderly - Take Henan province as an example[D]. Zhengzhou: Zhengzhou University, 2021.
22
张铭鹪, 苟玉莹, 雷一鹏, 等. 基于技术接受模型的老年人使用微信获取健康信息行为意愿及影响因素研究[J]. 成都医学院学报, 2022, 17(2): 226-230.
ZHANG M J, GOU Y Y, LEI Y P, et al. WeChat's health information acquisition willingness in the elderly and its influencing factors: A study based on technology acceptance model[J]. Journal of Chengdu medical college, 2022, 17(2): 226-230.
23
CHANG S J, IM E O. A path analysis of Internet health information seeking behaviors among older adults[J]. Geriatric nursing, 2014, 35(2): 137-141.
24
李启玉. 基于信息-动机-行为技巧模型的健康教育对社区动脉硬化老年人心血管健康的影响[D]. 蚌埠: 蚌埠医学院, 2023.
LI Q Y. Effect of health education based on the information motivation behavioral skills model on the cardiovascular health of atherosclerotic older adults in the community[D]. Bangbu: Bengbu Medical College, 2023.
25
王月莹. 农村中老年人健康信息素养偏低的原因探析及其提升策略[J]. 农业图书情报学报, 2024, 36(2): 81-93.
WANG Y Y. Exploring the causes of low health information literacy among rural middle-aged and elderly adults and its improvement strategies[J]. Journal of library and information science in agriculture, 2024, 36(2): 81-93.
26
周凡姝. 湖北省农村地区老年人健康信息使用意愿及其影响因素的研究[D]. 武汉: 华中科技大学, 2022.
ZHOU F S. Study on the intention of the elderly to use health information and its influencing factors in rural areas of Hubei province[D]. Wuhan: Huazhong University of Science and Technology, 2022.
27
吴迪, 向菲, 彭咏杰. 农村老年人在线健康信息替代搜寻者行为特征及影响因素研究[J]. 医学信息学杂志, 2024, 45(2): 14-19, 25.
WU D, XIANG F, PENG Y J. Study on the behavioral characteristics and influencing factors of online health information surrogate seeker of rural elderly[J]. Journal of medical informatics, 2024, 45(2): 14-19, 25.
28
姚雨琪. 信息生态视角下老年人健康知识获取行为影响机制研究[D]. 南昌: 江西财经大学, 2023.
YAO Y Q. Research on the influencing mechanism of elderly health knowledge acquisition behavior based on the perspective of information ecology[D]. Nanchang: Jiangxi University of Finance and Economics, 2023.
29
BROCKMEYER D. The clans' men: German free-TV channels are consolidating to challenge the public channel "clan" formed by ARD and ZDF: Meanwhile Kirch's pay-TV platform premiere world is struggling against stagnation[J].Television Europe, 2001(1): 23-29.
30
刘嫣. 移动端老年用户健康信息参与行为及应用适老化改造策略研究[D]. 长春: 吉林大学, 2023.
LIU Y. Research on health information participation behavior and health apps suitable aging transformation strategy of mobile elderly users[D]. Changchun: Jilin University, 2023.
31
CHAUDHURI S, LE T, WHITE C, et al. Examining health information-seeking behaviors of older adults[J]. Computers, informatics, nursing, 2013, 31(11): 547-553.
32
彭骏, 惠朝阳, 万辉. 老年人健康信息行为调查研究[J]. 医学信息学杂志, 2020, 41(5): 49-52.
PENG J, HUI Z Y, WAN H. Investigation and study on the health information behavior of the elderly[J]. Journal of medical informatics, 2020, 41(5): 49-52.
33
彭骏, 惠朝阳, 万辉. 老年人健康信息服务主体研究[J]. 中华医学图书情报杂志, 2018, 27(11): 60-63.
PENG J, HUI Z Y, WAN H. The main body of health information service for the elderly[J]. Chinese journal of medical library and information science, 2018, 27(11): 60-63.
34
CHECTON M G, GREENE K, CARPENTER A, et al. Perceptions of health information seeking and partner advocacy in the context of a cardiology office visit: Connections with health outcomes[J]. Health communication, 2017, 32(5): 587-595.
35
ZHAO Y C, ZHAO M Y, SONG S J. Online health information seeking behaviors among older adults: Systematic scoping review[J]. Journal of medical Internet research, 2022, 24(2): e34790.
36
MA X M, LIU Y X, ZHANG P F, et al. Understanding online health information seeking behavior of older adults: A social cognitive perspective[J]. Frontiers in public health, 2023, 11: 1147789.
37
张晶. 老年人网络健康信息行为意向影响因素研究[D]. 大连: 大连理工大学, 2019.
ZHANG J. A study on investigating the determinants of older adults' intention to use online health information[D]. Dalian: Dalian University of Technology, 2019.
38
POURRAZAVI S, KOUZEKANANI K, ASGHARI JAFARABADI M, et al. Correlates of older adults' E-health information-seeking behaviors[J]. Gerontology, 2022, 68(8): 935-942.
39
高冰洁. 老年人在线健康信息服务消极使用行为研究[D]. 贵阳: 贵州财经大学, 2021.
GAO B J. A study on the negative use behavior of online health information services for the elderly[D]. Guiyang: Guizhou University of Finance and Economics, 2021.
40
吴丹, 李一喆. 不同情境下老年人网络健康信息检索行为与认知研究[J]. 图书馆论坛, 2015, 35(2): 38-43.
WU D, LI Y Z. Older adults' online health information searching behavior and cognition under different contexts[J]. Library tribune, 2015, 35(2): 38-43.
41
许广梅. 老有所虑: 城市老年人健康信息行为与疑病症研究[D]. 深圳: 深圳大学, 2022.
XU G M. Anxiety in the elderly:A study of health information behavior and hypochondria in the urban elderly[D]. Shenzhen: Shenzhen University, 2022.
42
MANAFO E, WONG S. Exploring older adults' health information seeking behaviors[J]. Journal of nutrition education and behavior, 2012, 44(1): 85-89.
43
侯小妮, 陈建龙, 王建冬, 等. 老年人中医药信息行为整体过程研究[J]. 信息资源管理学报, 2021, 11(4): 100-111, 132.
HOU X N, CHEN J L, WANG J D, et al. The overall process of the traditional Chinese medicine information behavior of the elderly[J]. Journal of information resources management, 2021, 11(4): 100-111, 132.
44
PAPA A, MITAL M, PISANO P, et al. E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation[J]. Technological forecasting and social change, 2020, 153: 119226.
45
LIU L L, STROULIA E, NIKOLAIDIS I, et al. Smart homes and home health monitoring technologies for older adults: A systematic review[J]. International journal of medical informatics, 2016, 91: 44-59.
46
NWEKE H F, TEH Y W, MUJTABA G, et al. Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions[J]. Information fusion, 2019, 46: 147-170.
47
SHAIK T, TAO X H, HIGGINS N, et al. Remote patient monitoring using artificial intelligence: Current state, applications, and challenges[J]. Wiley interdisciplinary reviews: Data mining and knowledge discovery, 2023, 13(2): e1485.
48
SHAREEF M A, KUMAR V, DWIVEDI Y K, et al. A new health care system enabled by machine intelligence: Elderly people's trust or losing self control[J]. Technological forecasting and social change, 2021, 162: 120334.
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[13] Zhou Rong, Yu Dengke, Liu Xianqiu. Literature Review of Knowledge Sharing and Collaborative Decision-making in Demand Supply Chain of Agricultural Products [J]. , 2018, 30(2): 51-58.
[14] FAN Chao, CHEN An. Literature Review on Emergency Management Based on Feature Analysis [J]. Agricultural Library and Information, 2018, 30(12): 5-17.
[15] LI Hui. Research on User-oriented Health Information Service Model of Library [J]. , 2017, 29(11): 176-179.
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