ORIGINAL ARTICLES

A Qualitative Study on the Influencing Factors of Using Digital Diagnosis and Treatment Products Among the Elderly

  • JI Yinyin ,
  • SHEN Changyi ,
  • BAI Li ,
  • GAO Yining ,
  • FANG Yuan ,
  • FENG Ying ,
  • LI Xia
Expand
  • 1Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China;
    2Shanghai Pengpu Middle School, Shanghai 200443, China;
    3Mental Health Center, Tongji University, Shanghai 200092, China
* SANG Zhiqin, zqsang@nju.edu.cn

Online published: 2024-06-13

Abstract

Objective: To explore the influencing factors of using digital diagnosis and treatment products in the elderly.
Methods: Phenomenological research method was used to conduct semi-structured interviews on the acceptance and use of digital diagnosis and treatment products among 15 elderly people in the community, and the interview data were analyzed by the Colaizzi seven-step analysis method.
Result: The three stages of the elderly using digital medical products mainly include motivation generation, action generation, and action maintenance. Demand is the basis of motivation. In the transition from motivation to action, personal resources (including the dependency of offline medical channels and self-efficacy) and environmental factors (including recommendation from children or relatives, external publicity and introduction, and help from others) are important influencing factors. The elderly use experience (including the feelings of the product function and operation difficulty) will affect the subsequent motivation and behavior.
Conclusion: In order to promote the use of digital diagnosis and treatment products by the elderly, it is necessary to understand the needs and motivation of the elderly. Subsequently, we need to provide them with targeted promotion strategies, strengthen publicity as well as help and guidance, and promote the transition from motivation into action. In order to maintain the usage behavior of the elderly, it is necessary to develop more suitable products for them so that they will have a good user experience.

Cite this article

JI Yinyin , SHEN Changyi , BAI Li , GAO Yining , FANG Yuan , FENG Ying , LI Xia . A Qualitative Study on the Influencing Factors of Using Digital Diagnosis and Treatment Products Among the Elderly[J]. Psychological Communications, 2023 , 6(1) : 17 -24 . DOI: 10.12100/j.issn.2096-5494.223005

References

[1] Hall, B. J., 李根. (2022). 中国的数字化心理健康服务: 促进健康公平的机遇与挑战. 心理学通讯, 5(1), 5-8. doi: 10.12100/j.issn.2096- 5494.222004.
[2] 曹博林. (2021). 互联网医疗: 线上医患交流模式、效果及影响机制. 深圳大学学报(人文社会科学版), 38(1), 119-130.
[3] 方驰华, 胡浩宇, 刘允怡, 钟世镇. (2019). 数字智能化诊疗技术在解剖性肝切除中应用价值.中国实用外科杂志,39(6), 545-551. doi: 10.19538/j.cjps.issn1005-2208.2019.06.06 .
[4] 刘入豪, 邱乾. (2020). 老年人数字鸿沟中被忽视的朋辈影响. 青年记者, (36), 31-32. doi: 10.15997/j.cnki.qnjz.2020.36.017
[5] 刘滢, 李孟轩. (2018). 基于老年人群体使用的医疗产品情感化设计探析. 工业设计, (12), 31-32.
[6] 陆亨. (2011). 使用与满足: 一个标签化的理论. 国际新闻界,33(2), 11-18. doi: 10.13495/j.cnki.cjjc.2011.02.012
[7] 罗晓兰, 樊卫国. (2017). 基于医疗健康可穿戴设备的城市智能养老服务模式研究. 兰州学刊, (10), 199-208.
[8] 王红云, 高维杰, 胡燕. (2018). 智慧养老护理背景下我国老年人新媒介素养现状及启示. 护理学杂志,33(8), 97-100. doi: 10.3870/j.issn.1001-4152.2018.08.097
[9] 杨凯. (2021). 互联网医院在线问诊服务效用影响因素的实证研究. 中国卫生信息管理杂志,18(5), 701-707. doi: 10.3969/j.issn. 1672-5166.2021.05.025
[10] 杨秋霞. (2021). 基于UTAUT模型的老年人健康管理系统接受度的影响因素研究 (硕士学位论文). 甘肃中医药大学, 兰州.
[11] 杨怡. (2022). 中医健脑云平台在社区轻度认知障碍老年人群中的可用性调查研究 (硕士学位论文). 湖北中医药大学, 武汉.
[12] 杨朝晖, 兰晓霞. (2018). 老年人电子健康素养研究进展及思考. 中国健康教育, 34(11), 1023-1026. doi: 10.16168/j.cnki.issn.1002-9982. 2018.11.014
[13] 于潇, 刘澍. (2021). 老年人数字鸿沟与家庭支持: 基于2018年中国家庭追踪调查的研究. 吉林大学社会科学学报, 61(6), 67-82. doi: 10.15939/j.jujsse.2021.06.sh1.
[14] 于小雪, 杨巧红. (2020). 计算机认知训练在家庭康复中应用的研究进展. 中国护理管理,20(9), 1340-1343. doi: 10.3969/j.issn.1672- 1756.2020.09.012.
[15] 周裕琼, 林枫. (2018). 数字代沟的概念化与操作化:基于全国家庭祖孙三代问卷调查的初次尝试. 国际新闻界,40(9), 6-28. doi: 10.13495/j.cnki.cjjc.2018.09.001.
[16] Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. New Jersey: Prentice Hall.
[17] Baumeister H., Seifferth H., Lin J., Nowoczin L., Lüking M., & Ebert D. (2015). Impact of an acceptance facilitating intervention on patients' acceptance of internet-based pain interventions: A randomized controlled trial.Clin J Pain, 31(6), 528-535. doi: 10.1097/ajp.00000 00000000118.
[18] Barnes, J. (2015). Qualitative research from start to finish (2nd ed.).Neuropsychol Rehabil, 27(8), 1156-1158. doi: 10.1080/09602011. 2015.1126911.
[19] Burns, N., & Grove, S. K. (1998). The practice of nursing research 3rd ed. Philadelphia: W.B. Saunders Company.
[20] Cruz-Jesus F., Oliveira T., & Bacao F. (2012). Digital divide across the European Union.Inf Manag, 49(6), 278-291. doi: 10.1016/j.im.2012.09.003.
[21] Kauffman, R. J., & Riggins, F. J. (2012). Information and communication technology and the sustainability of microfinance.Electron Commer Res Appl, 11(5), 450-468. doi: 10.1016/j.elerap.2012.03.001.
[22] Moshe I., Terhorst Y., Philippi P., Domhardt M., Cuijpers P., Cristea I., .. Sander L.B. (2021). Digital interventions for the treatment of depression: A meta-analytic review.Psychol Bull, 147(8), 749-786. doi: 10.1037/bul0000334.
[23] Neves, B. B, Waycott, J., Malta, S. (2018). Old and afraid of new communication technologies? Reconceptualising and contesting the ‘age-based digital divide'. J Sociol, 54(2), 236-248. doi: 10.1177/ 144078331876611
[24] Norman, C. D., & Skinner, H. A. (2006). Ehealth literacy: essential skills for consumer health in a networked world. J Med Internet Res, 8(2), e9. doi: 10.2196/jmir.8.2.e9.
[25] Saunders B., Sim J., Kingstone T., Baker S., Waterfield J., Bartlam B., .. Jinks C. (2018). Saturation in qualitative research: Exploring its conceptualization and operationalization.Qual Quant, 52(4), 1893-1907. doi: 10.1007/s11135-017-0574-8.
[26] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies.Manage Sci, 46(2), 186-204. doi: 10.1287/mnsc.46.2.186.11926.
[27] Wong, D. K., Cheung, M. (2019). Online health information seeking and eHealth literacy among patients attending a primary care clinic in Hong Kong: Across-sectional survey.J Med Internet Res, 21(3), e10831. doi: 10.2196/10831.
Outlines

/

〈 〉