Getting Connected to M-Health Technologies through a Meta-Analysis

Author:

Calegari Luiz Philipi1ORCID,Tortorella Guilherme Luz2ORCID,Fettermann Diego Castro1ORCID

Affiliation:

1. Department of Industrial Engineering, Federal University of Santa Catarina, Florianópolis 8040-900, SC, Brazil

2. Department of Mechanical Engineering, University of Melbourne, Melbourne, VIC 3010, Australia

Abstract

The demand for mobile e-health technologies (m-health) continues with constant growth, stimulating the technological advancement of such devices. However, the customer needs to perceive the utility of these devices to incorporate them into their daily lives. Hence, this study aims to identify users’ perceptions regarding the acceptance of m-health technologies based on a synthesis of meta-analysis studies on the subject in the literature. Using the relations and constructs proposed in the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) technology acceptance model, the methodological approach utilized a meta-analysis to raise the effect of the main factors on the Behavioral Intention to Use m-health technologies. Furthermore, the model proposed also estimated the moderation effect of gender, age, and timeline variables on the UTAUT2 relations. In total, the meta-analysis utilized 84 different articles, which presented 376 estimations based on a sample of 31,609 respondents. The results indicate an overall compilation of the relations, as well as the primary factors and moderating variables that determine users’ acceptance of the studied m-health systems.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference219 articles.

1. Smart Technology for Healthcare: Exploring the Antecedents of Adoption Intention of Healthcare Wearable Technology;Chau;Health Psychol. Res.,2019

2. What Do Clinicians Derive from Partnering with Their Patients?: A Reliable and Valid Measure of “Personal Meaning in Patient Care”;Geller;Patient Educ. Couns.,2008

3. Nanomedicine for Respiratory Diseases;Pison;Nanomed. Respir. Dis. Eur. J. Pharmacol.,2006

4. Can a Program of Food and Diabetes Education Improve the Quality of the Lives of Diabetic Patients with a Previous Myocardial Infarction?;Tantucci;Ann. Ig.,2018

5. Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study;Safi;JMIR Hum. Factors,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3