综合移动医疗技术接受度的荟萃分析

IF 3.8 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Lean Six Sigma Pub Date : 2023-04-06 DOI:10.1108/ijlss-01-2023-0012

Luiz Philipi Calegari, Barkokebas R.D., D. Fettermann

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引用次数: 1

摘要

目的电子健康技术的发展为卓越的医疗保健提供了有前景的替代方案。尽管移动电子健康（m-health）和可穿戴设备技术带来了好处，但关于用户如何接受和参与使用这些技术，文献中存在许多矛盾迹象。本研究旨在综合对移动健康用户接受技术的估计。设计/方法/方法使用100项先前研究估计的778个关系进行元分析结构方程建模。这些估计遵循UTAUT2技术接受模型中提出的关系和结构。研究结果表明，绩效预期、努力预期、社会影响和习惯结构对预测移动健康技术的使用行为意图最为重要。文献中仍然低估了拉丁美洲电子健康技术的用户。独创性/价值该研究为理解移动健康技术的接受过程提供了指南，并为开发新的移动健康设备提供了一个总体方向，考虑到用户的接受程度。

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A meta-analysis of a comprehensive m-health technology acceptance

Purpose The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies. Design/methodology/approach A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model. Findings The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature. Originality/value The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

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来源期刊

International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering

CiteScore

8.90

自引率

15.00%

发文量

期刊介绍： Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.