数字素养对社区老年人智慧养老接受度的影响研究

Research on the Impact of Digital Literacy on the Acceptance of Smart Elderly Care among Community

摘要: 目的：了解社区老年人数字素养与智慧养老服务接受度现状，探讨数字素养对接受度的影响。方法：便利抽取南京市5个社区512名老年人，采用一般资料问卷、数字素养量表和接受度量表调查。结果：老年人数字素养总均分(52.38 ± 13.57)分，接受度总均分(46.75 ± 11.83)分，均处于中等偏低水平。年龄、受教育程度、月收入、数字设备及子女支持是数字素养的主要影响因素(P < 0.05)。数字素养与接受度呈正相关(r = 0.514, P < 0.01)。分层回归显示，控制人口学变量后数字素养独立解释接受度18.6%的变异(P < 0.001)，其中操作技能(β = 0.312)、9信息评估能力(β = 0.247)和社交沟通能力(β = 0.189)显著正向预测接受度。结论：社区老年人数字素养与智慧养老服务接受度亟待提升，数字素养是关键预测因素，尤以操作技能作用最突出。建议通过社区教育、代际反哺和适老化设计系统提升老年人数字素养。

Abstract: To understand the current status of digital literacy and acceptance of smart elderly care services among community-dwelling seniors, and to explore the impact of digital literacy on acceptance. Methods: A convenience sampling approach was employed to select 512 elderly individuals from five communities in Nanjing City. Surveys included general demographic questionnaires, digital literacy scales, and acceptance scales. Results: The mean total scores for elderly digital literacy (52.38 ± 13.57) and acceptance (46.75 ± 11.83) were both at moderately low levels. Age, education level, monthly income, digital device ownership, and parental support were identified as primary influencing factors of digital literacy (P < 0.05). Digital literacy showed a positive correlation with acceptance (r = 0.514, P < 0.01). Stratified regression analysis revealed that digital literacy independently accounted for 18.6% of acceptance variance after controlling for demographic variables (P < 0.001), with operational skills (β = 0.312), information evaluation ability (β = 0.247), and social communication skills (β = 0.189) demonstrating significant positive predictive effects on acceptance. Conclusion: Both digital literacy and acceptance of smart elderly care services among community-dwelling seniors require urgent improvement, with digital literacy serving as a key predictive factor—particularly operational skills.