Factors Affecting the Adoption of mHealth Services among Young Citizen: A Structural Equation Modeling (SEM) Approach

Abstract

In Bangladesh, nearly everyone has access to a mobile phone and it is increasingly affordable and widespread in all clusters of people have significant impact to extend social relations. The telecom is one of the rapidly growing industries in Bangladesh. Mobile phone is playing a vary significance role with pervasive services. Dissemination of health related information to the general people was a great challenge for this highly populated country, but this problem is going to be erased by application of mobile phone in this regards. In this study attempted to determine and measure the various usages of mobile phone in Bangladesh among the young age group (patients) how they use Mobile phones to solve health related problem. Technology Acceptance Model (TAM) is used as the theoretical underpin to conduct this study. A questionnaire survey method was used to collect data from respondents in different public and private universities of Bangladesh. The data were analyzed using the Partial Least Squire (PLS) method, a statistical analysis technique based on structural Equation Model (SEM). Findings revealed that perceived usefulness (p < 0.05) positively predicted the intention to use mHealth services, while perceived ease of use (p > 0.05) was identified as a less significant factor in the mHealth adoption in Bangladesh. The findings from the study can serve as input to promote citizen's use of mobile phone for better self-management of health.

The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation

“…Users who perceive the app as being more useful exhibit higher intentions to use this app. Our findings echo the previous finding of a separate survey study based on the TAM framework conducted across university students, which found that perceived usefulness predicts intention-to-use [ 68 ], as well as findings of another research, where perceived ease-of-use was a significant factor for medical wearable device users to adopt a wearable medical device [ 69 ]. These two variables, however, were found to produce no direct effect on usage behavior.…”

Understanding continuance usage intention of mHealth in a developing country

“…In addition, a considerable amount of research has also been conducted on different context of eHealth/mHealth in Bangladesh, i.e. community readiness in rural areas (Khatun et al , 2015), perceived services quality dynamics (Akter et al , 2010), eHealth and mHealth initiatives (Ahmed et al , 2014), mHealth adoption by young citizen (Hoque et al , 2015), moderating effect of gender on mHealth adoption (Hoque, 2016), demand-side perspective (Shareef et al , 2014), health information-seeking behaviour (Andaleeb, 2008), but no single study was found on the predictors influencing the CUI of mHealth among the rural elderly. However, this current study differs from the previously mentioned studies, as it expands the range of factors that might impact the CUI of mHealth services among the rural elderly in Bangladesh.…”

Telemedicine Healthcare Service Adoption Barriers in Rural Bangladesh

“…Hoque & Sorwar, 2017), have investigated the status of e-Health and m-Health initiatives in Bangladesh. For example, government and nongovernment sectors (i.e., profit, non-profit and NGOs) (M. R. Hoque, Karim, & Amin, 2015), contribute to e-Health and m-Health services but are embryonic and need substantial research to overcome the challenges of successful adoption (M. R. Hoque, 2016). In existing Bangladeshrelated literature that focuses on e-Health and m-Health adoption issues, no studies were found on telemedicine adoption, nor have correlations been identified between providerreported barriers and telemedicine adoption.…”