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医疗保健消费者对电子健康记录患者门户的采用:一种接受模型与调查

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey.

作者信息

Tavares Jorge, Oliveira Tiago

机构信息

NOVA Information Management School (IMS), Universidade Nova de Lisboa, Lisboa, Portugal.

出版信息

J Med Internet Res. 2016 Mar 2;18(3):e49. doi: 10.2196/jmir.5069.

DOI:10.2196/jmir.5069
PMID:26935646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4795321/
Abstract

BACKGROUND

The future of health care delivery is becoming more citizen centered, as today's user is more active, better informed, and more demanding. Worldwide governments are promoting online health services, such as electronic health record (EHR) patient portals and, as a result, the deployment and use of these services. Overall, this makes the adoption of patient-accessible EHR portals an important field to study and understand.

OBJECTIVE

The aim of this study is to understand the factors that drive individuals to adopt EHR portals.

METHODS

We applied a new adoption model using, as a starting point, Ventkatesh's Unified Theory of Acceptance and Use of Technology in a consumer context (UTAUT2) by integrating a new construct specific to health care, a new moderator, and new relationships. To test the research model, we used the partial least squares (PLS) causal modelling approach. An online questionnaire was administrated. We collected 360 valid responses.

RESULTS

The statistically significant drivers of behavioral intention are performance expectancy (beta=.200; t=3.619), effort expectancy (beta=.185; t=2.907), habit (beta=.388; t=7.320), and self-perception (beta=.098; t=2.285). The predictors of use behavior are habit (beta=0.206; t=2.752) and behavioral intention (beta=0.258; t=4.036). The model explained 49.7% of the variance in behavioral intention and 26.8% of the variance in use behavior.

CONCLUSIONS

Our research helps to understand the desired technology characteristics of EHR portals. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not. The inclusion of specific constructs and relationships related to the health care consumer area also had a significant impact on understanding the adoption of EHR portals.

摘要

背景

随着当今的医疗服务使用者更加积极、信息更灵通且要求更高,医疗服务的未来正变得更加以公民为中心。全球各国政府都在推广在线健康服务,如电子健康记录(EHR)患者门户,因此这些服务的部署和使用也在增加。总体而言,这使得采用患者可访问的EHR门户成为一个重要的研究和理解领域。

目的

本研究的目的是了解促使个人采用EHR门户的因素。

方法

我们应用了一种新的采用模型,该模型以Venkatesh的技术接受与使用统一理论(UTAUT2)在消费者背景下为起点,通过整合一个特定于医疗保健的新结构、一个新的调节变量和新的关系。为了测试研究模型,我们使用了偏最小二乘法(PLS)因果建模方法。进行了在线问卷调查。我们收集了360份有效回复。

结果

行为意向的统计学显著驱动因素是绩效期望(β = 0.200;t = 3.619)、努力期望(β = 0.185;t = 2.907)、习惯(β = 0.388;t = 7.320)和自我认知(β = 0.098;t = 2.285)。使用行为的预测因素是习惯(β = 0.206;t = 2.752)和行为意向(β = 0.258;t = 4.036)。该模型解释了行为意向中49.7%的方差和使用行为中26.8%的方差。

结论

我们的研究有助于了解EHR门户所需的技术特征。通过测试信息技术接受模型,我们能够确定患者在决定是否采用EHR门户时更看重什么。纳入与医疗保健消费者领域相关的特定结构和关系也对理解EHR门户的采用产生了重大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/3722037be7eb/jmir_v18i3e49_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/42d3e34fc636/jmir_v18i3e49_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/971b431175d5/jmir_v18i3e49_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/3b961955821f/jmir_v18i3e49_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/7718a1a43bdf/jmir_v18i3e49_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/2b045bfbe957/jmir_v18i3e49_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/3722037be7eb/jmir_v18i3e49_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/42d3e34fc636/jmir_v18i3e49_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/971b431175d5/jmir_v18i3e49_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/3b961955821f/jmir_v18i3e49_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/7718a1a43bdf/jmir_v18i3e49_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/2b045bfbe957/jmir_v18i3e49_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8144/4795321/3722037be7eb/jmir_v18i3e49_fig6.jpg

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