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[应用技术接受模型II探讨影响中年患者使用基于智能监测器的移动健康服务意愿的因素]

[Factors Affecting the Intention to Use Smartmonitor-Based Mobile Health in Middle-Aged in Patients Applying the Technology Acceptance Model II].

作者信息

Joo Ol Eum, Ha Yi Kyung

机构信息

Nursing Department, Busan Korea Hospital, Busan, Korea.

Department of Nursing, Research Institute of Dong-eui Nursing Science, Dong-eui University, Busan, Korea.

出版信息

J Korean Acad Nurs. 2024 Nov;54(4):620-632. doi: 10.4040/jkan.24091.

Abstract

PURPOSE

This study aimed to identify factors that influence the intention to use smart monitor-based mobile health (SBM) technology among middle-aged inpatients, based on the technology acceptance model II (TAM II).

METHODS

A total of 222 participants were surveyed. Data were analyzed using SPSS Statistics 23.0 and IBM SPSS Amos 23. Seven exogenous variables-social influence (SI), personal self-efficacy, (PSE), environmental self-efficacy (ESE), health literacy, health concerns, resistance to innovative technology (RIT), accessibility (AC)-and three endogenous variables-perceived ease of use (PEOU), perceived usability (PU), and intention to use (ITU)-were investigated.

RESULTS

The hypothesized path model demonstrated a good fit for the data. SI (β = .13, = .042), PU (β = .46, < .001), and PEOU (β = .16, = .008) had significant direct effects on the ITU, which explained 39.5% of the variance. Additionally, SI (β = .27, < .001), ESE (β = .16, = .010), RIT (β = -.12, = .026), AC (β = .28, < .001), and PEOU (β = .20, = .001) indirectly affected ITU through PU, which explained 50.7% of the variance. Furthermore, PSE (β = .38, < .001) indirectly influenced ITU via PEOU, which explained 38.4% of the variance.

CONCLUSION

This study demonstrates that the TAM II can be used to effectively predict ITU in SBMs among middle-aged inpatients. To expand the intention to use SBMs, it is necessary to develop SBMs that include content and programs that promote PU, SI, and PEOU.

摘要

目的

本研究旨在基于技术接受模型II(TAM II),确定影响中年住院患者使用基于智能监测器的移动健康(SBM)技术意愿的因素。

方法

共对222名参与者进行了调查。使用SPSS Statistics 23.0和IBM SPSS Amos 23对数据进行分析。研究了七个外生变量——社会影响(SI)、个人自我效能感(PSE)、环境自我效能感(ESE)、健康素养、健康关注度、对创新技术的抵触情绪(RIT)、可及性(AC)——以及三个内生变量——感知易用性(PEOU)、感知可用性(PU)和使用意愿(ITU)。

结果

假设路径模型与数据拟合良好。SI(β = 0.13,p = 0.042)、PU(β = 0.46,p < 0.001)和PEOU(β = 0.16,p = 0.008)对ITU有显著直接影响,解释了39.5%的方差。此外,SI(β = 0.27,p < 0.001)、ESE(β = 0.16,p = 0.010)、RIT(β = -0.12,p = 0.026)、AC(β = 0.28,p < 0.001)和PEOU(β = 0.20,p = 0.001)通过PU间接影响ITU,解释了50.7%的方差。此外,PSE(β = 0.38,p < 0.001)通过PEOU间接影响ITU,解释了38.4%的方差。

结论

本研究表明,TAM II可用于有效预测中年住院患者对SBM的ITU。为了扩大对SBM的使用意愿,有必要开发包含促进PU、SI和PEOU的内容和程序的SBM。

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