Influence of Factors on the Adoption and <i>Use</i> of ICT-Based eHealth Technology by Urban Corporate People

Abstract

The aim of this study is to investigate the influence of the factors that affect the use of a PHC system (portable health clinic, an eHealth technology) by urban corporate people in Bangladesh. This study uses the first and second versions of the technology acceptance model and the unified theory of acceptance and use of technology model as the foundation. Additionally, health awareness factors are incorporated to develop the research model. Structural equation modeling was used to analyze a sample size of 264 urban corporate people in Bangladesh. Based on the total effects, the key to promoting the future use of a PHC system lies in the three most important factors: perceived usefulness (0.659), intention to use (0.454), and health awareness (0.447). These factors have a positive and direct influence on use. The findings offer proactively important and practical guidelines to service providers, implementers, and policymakers to promote the use of eHealth technology for regular health checkups.

An empirical study of factors influencing e-health services adoption among public in Saudi Arabia

“…These findings are confirmed by many TAM-based studies. 24,[59][60][61][62][63][64] Therefore, the authors stress that overall, Perceived Ease of Use influences the Perceived Usefulness which significantly affects the Behavioral Intention of citizen in the Saudi Arabia to use eHealth services. Besides, considering Privacy as an external factor to the original TAM, the related hypothesis is supported in this study.…”

Impacts of Anthropometric, Biochemical, Socio-Demographic, and Dietary Habits Factors on the Health Status of Urban Corporate People in a Developing Country

“…People who usually work in urban areas of Bangladesh lack health insurance and high health awareness, do not get routine mandatory health checkups and are not habituated to using ICT-based healthcare services [ 9 ]. It is also necessary to examine the specific role of each risk factor on the health status of a specific group of people or a given setting to consider in-depth planning, implementation, and evaluation of health programs by using good policies to prevent and control diseases [ 10 , 11 , 12 , 13 ].…”

eHealth - In or out of our daily lives? Measuring the (non-)use of eHealth in summative evaluations

“…This is in contrast with previous studies on eHealth in general (e.g. Hardiker & Grant, 2011;Hoogenbosch et al, 2018;Sampa et al, 2020)), and studies on the use of technology and games among older adults in general (e.g. (Kaufman et al, 2020;Roberts et al, 2019;Sauvé et al, 2015;Schutter & Malliet, 2014;Wagner et al, 2010)).…”