{"title":"[应用技术接受模型ⅱ:影响中年患者使用智能监护移动医疗意愿的因素]。","authors":"Ol Eum Joo, Yi Kyung Ha","doi":"10.4040/jkan.24091","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>The hypothesized path model demonstrated a good fit for the data. SI (β = .13, <i>p</i> = .042), PU (β = .46, <i>p</i> < .001), and PEOU (β = .16, <i>p</i> = .008) had significant direct effects on the ITU, which explained 39.5% of the variance. Additionally, SI (β = .27, <i>p</i> < .001), ESE (β = .16, <i>p</i> = .010), RIT (β = -.12, <i>p</i> = .026), AC (β = .28, <i>p</i> < .001), and PEOU (β = .20, <i>p</i> = .001) indirectly affected ITU through PU, which explained 50.7% of the variance. Furthermore, PSE (β = .38, <i>p</i> < .001) indirectly influenced ITU via PEOU, which explained 38.4% of the variance.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":54789,"journal":{"name":"Journal of Korean Academy of Nursing","volume":"54 4","pages":"620-632"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Factors Affecting the Intention to Use Smartmonitor-Based Mobile Health in Middle-Aged in Patients Applying the Technology Acceptance Model II].\",\"authors\":\"Ol Eum Joo, Yi Kyung Ha\",\"doi\":\"10.4040/jkan.24091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>The hypothesized path model demonstrated a good fit for the data. SI (β = .13, <i>p</i> = .042), PU (β = .46, <i>p</i> < .001), and PEOU (β = .16, <i>p</i> = .008) had significant direct effects on the ITU, which explained 39.5% of the variance. Additionally, SI (β = .27, <i>p</i> < .001), ESE (β = .16, <i>p</i> = .010), RIT (β = -.12, <i>p</i> = .026), AC (β = .28, <i>p</i> < .001), and PEOU (β = .20, <i>p</i> = .001) indirectly affected ITU through PU, which explained 50.7% of the variance. Furthermore, PSE (β = .38, <i>p</i> < .001) indirectly influenced ITU via PEOU, which explained 38.4% of the variance.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":54789,\"journal\":{\"name\":\"Journal of Korean Academy of Nursing\",\"volume\":\"54 4\",\"pages\":\"620-632\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Academy of Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4040/jkan.24091\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Academy of Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4040/jkan.24091","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
摘要
目的:基于技术接受模型II (TAM II),探讨影响中年住院患者使用基于智能监护的移动医疗(SBM)技术意愿的因素。方法:对222名被调查者进行问卷调查。数据分析采用SPSS Statistics 23.0和IBM SPSS Amos 23。七个外生变量——社会影响(SI)、个人自我效能(PSE)、环境自我效能(ESE)、健康素养、健康关注、对创新技术的抵制(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)和使用意图(ITU)——进行了调查。结果:假设路径模型与数据拟合良好。SI (β = .13, p = .042)、PU (β = .46, p < .001)和PEOU (β = .16, p = .008)对ITU有显著的直接影响,解释了39.5%的方差。另外,如果(β= 10,p <措施),ESE台端面应(β= 16,p =),放射免疫(β= -。12, p = 0.026), AC (β = 0.28, p < .001)和PEOU (β = 0.20, p = .001)通过PU间接影响ITU,这解释了50.7%的方差。此外,PSE (β = .38, p < .001)通过PEOU间接影响ITU,这解释了38.4%的方差。结论:本研究表明,TAM II可以有效预测中年住院SBMs患者的ITU。为了扩大使用SBMs的意向,有必要开发包含促进PU, SI和PEOU的内容和程序的SBMs。
[Factors Affecting the Intention to Use Smartmonitor-Based Mobile Health in Middle-Aged in Patients Applying the Technology Acceptance Model II].
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, p = .042), PU (β = .46, p < .001), and PEOU (β = .16, p = .008) had significant direct effects on the ITU, which explained 39.5% of the variance. Additionally, SI (β = .27, p < .001), ESE (β = .16, p = .010), RIT (β = -.12, p = .026), AC (β = .28, p < .001), and PEOU (β = .20, p = .001) indirectly affected ITU through PU, which explained 50.7% of the variance. Furthermore, PSE (β = .38, p < .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.
期刊介绍:
Journal of Korean Academy of Nursing is published using an open access publication model. The journal welcomes original research on nursing intervention and health policies using appropriate research methods. Comprehensive review, concept analysis, and methodological papers are also welcome. The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad international coverage.