老年群体就医技术焦虑的潜在剖面分析及其影响因素-现代医学

老年群体就医技术焦虑的潜在剖面分析及其影响因素

单位：1. 西安外事学院医学院, 陕西西安 710077;
2. 遵义医科大学第三附属医院/遵义市第一人民医院临床教学部, 贵州遵义 563000;
3. 遵义医科大学第三附属医院/遵义市第一人民医院护理部, 贵州遵义 563000

分类号：R473

出版年·卷·期（页码）：2024·52·第二期（215-222）

摘要：

目的：分析老年群体就医技术焦虑的潜在类别及其影响因素。方法：使用一般资料调查表、技术焦虑量表、一般自我效能感量表及数字健康素养评估量表于2022年9月至2023年2月对遵义市某三甲医院的257例老年患者进行问卷调查。采用潜在剖面分析建立老年群体就医技术焦虑的潜在类别模型，并使用有序Logistic回归研究高龄人群就医技术焦虑的影响原因。结果：患者一般自我效能感量表总分为(26.23±7.495)分，数字健康素养评估量表的信息获取和评估能力维度得(25.65±9.915)分、互动能力维度得(8.38±3.594)分、应用能力维度得(8.11±3.504)分。老年群体就医技术焦虑可分为低就医技术焦虑组(33.85%)、高就医技术紧张组(18.68%)、高就医技术焦虑组(8.95%)、中就医技术焦虑组(38.52%)4个潜在类别。有序Logistic回归显示，文化程度、职业、一般自我效能感及信息获取和评估能力是老年群体就医技术焦虑的影响因素。结论：老年群体就医技术焦虑存在4个潜在类别，具有明显的分类特征，医护人员应注重不同老年群体就医的技术焦虑特征，实施针对性的干预措施，降低其技术焦虑水平。

Objective: To analyze the potential categories of technology anxiety of seeking medical care and its influencing factors in the elderly population. Methods: A questionnaire survey was conducted on 257 cases of elderly people in a tertiary hospital in Zunyi City using General Information Questionnaire, Technophobia Scale, General Self-efficacy Scale and Digital Health Literacy Assessment Scale from September 2022 to February 2023. Potential profile analysis was used to establish a potential category model of technology anxiety of seeking medical care in elderly groups, and ordered Logistic regression analysis was used to explore the influencing factors of technology anxiety in elderly group. Results: The score of General Self-efficacy Scale was(26.23±7.495) points. The information acquisition and evaluation ability dimension score of Digital Health Literacy Assessment Scale was(25.65±9.915) points, the interaction ability dimension score was(8.38±3.594) points, and the application ability dimension score was(8.11±3.504) points.The elderly groups technology anxiety of seeking medical care could be divided into four potential categories: low technology anxiety of seeking medical care group(33.85%), high technology tension of seeking medical care group(18.68%), high technology anxiety of seeking medical care group(8.95%), and medium technology anxiety of seeking medical care group(38.52%). Ordered Logistic regression showed that literacy, occupation, general self-efficacy, and ability to obtain and evaluate information were factors influencing technology anxiety of seeking medical care in the elderly group. Conclusion: There are four potential categories of technology anxiety in the elderly group, with obvious classification characteristics. Health care professionals should focus on the technology anxiety characteristics of different elderly groups and implement targeted interventions to reduce their technology anxiety levels.

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