Conceptualizing Mobile Health Application Use Intention and Adoption Among Iraqian Older Adults: From the Perspective of Expanded Technology Acceptance Model

Murtaja Ali Saare,Wong Seng Yue,Azham Hussain

doi:10.3991/ijim.v13i10.11285

Abstract

<p>The aim of this article is to discuss how different factors affect the decision of intention to use and adopt mobile health applications using the extended technology acceptance model (TAM) among older adults in Iraq. “Perceived usefulness (PU), perceived ease of use (PEU), subjective norm (SN), and facilitating conditions (FC)” were four key predictors. Gender and age were included as factors for moderating the impact of two key TAM components in the proposed model (PU and PEU) on intention to use and adoption behaviors. The results of the past studies indicated that PU, PEU and SN were important predictors of adoption of mobile health applications among older adults in Iraq, While PU, SN, and FC were important predictors of the intention to use mobile health applications. Previous studies highlighted a strong impact of PEU on the intention to use mobile health applications on older adults than for younger adults. Implications are discussed for future research and practices.</p>

Highlights

Technological development such as a smartphone has been witnessed in healthcare (Bujnowska-Fedak & Pirogowicz, 2014)
The present study considers expanding technology acceptance model which is an improvement of the original technology acceptance model (TAM)
This study reviewed previous literature to understand the intention and adoption of mobile health application among older adults in Iraq

Summary

Introduction

Technological development such as a smartphone has been witnessed in healthcare (Bujnowska-Fedak & Pirogowicz, 2014). According to World Health Organization, mobile health (mHealth) technology is the use of mobile device into a medical profession. In terms of smartphone ownership, many studies indicate an increase in mobile health adoption as a result of increase in ownership, among younger adults rather than older adults. Literature found that 18% of older adults has adopted to smartphone (Anderson & Perrin, 2017; Smith, 2014). Smartphone penetration rate is 17% in Iraq (Ameen & Willis, 2018). The age group adopting technology was younger adults

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