MoHTAM: A Technology Acceptance Model for Mobile Health Applications

Abstract

In spite of the advancement and variety of available mobile based applications, there is an eminent need to investigate the current position of the acceptance of those mobile health applications that are tailored towards the patients' medical information management and access. This paper explores and analysis the technology acceptance of the use of smart mobile phones from users' perceptions, viewpoint, and experience. The paper will focus on studies of the factors affecting the intention to use the smart mobile phone in the medical domain. Our proposed Mobile Technology Acceptance Model (Mo-HTAM) assessed the significance of the correlation between technology design, perceived ease of use, perceived usefulness as independent factors and the intention to use m-Health services as the dependent factor.The correlation coefficient analysis indicated that there is a significant relationship between the major constructs. Rigorous analytical testing confirmed that there is a direct relationship between social, cultural and technological constructs with intention to use m-Health applications. The model indicated that a well-informed technology design will increase the intention to use m-Health application, and perceived usefulness is more significant to the intention to use m-health applications than the perceived ease of use.These findings indicated that intention to use mobile health informatics is formed by the perceptions of the user of m-Health technology design approach, especially in relation to the navigation and the data presentation on the mobile device.

Mobile Healthcare Adoption among Patients in a Developing Country Environment: Exploring the Influence of Age and Gender Differences

“…Also, this study empirically shows that PEOU is significantly correlated with PU (H3: β=0.409, p<0.001). This result conforms with prior findings (Mohamed, 2011;Wu et al, 2011;Hung and Jen, 2012;Xue et al, 2012). The current result implies that if the individuals feel that the m-healthcare is easy to use and effortless to manage they will tend to perceive it as useful.…”

“…8, No. 9; Similar findings were reported by information technology adoption studies implemented in the context of different healthcare domains (Lin, 2011;Mohamed, 2011;Hung & Jen, 2012;Xue et al, 2012;Jaradat & Smadi, 2013;Kuo et al, 2013). In fact, the strength of PU and BI relationship is obviously comparable to prior studies in the field, however the strength of the relationship between PEOU and BI is much stronger than what concluded by previous studies.…”

“…A study conducted in the context of e-healthcare by Mohamed et al (2011) has comprehensively confirmed that www.ccsenet.org/ibr…”

“…However, trust in relation to m-healthcare environment can be defined as the belief that m-healthcare technology has the characteristics required to function as anticipated in a given circumstances (McKnight et al, 2011). The trust aspect has been incorporated in a wide variety of healthcare-based research studies and found to influence significantly the adoption behavior of e-healthcare (Fogel et al, 2008;Bansal et al, 2010;Mohamed et al, 2011). In the context of m-healthcare, formation of positive trust perceptions in utilizing m-healthcare technologies can be considered as one of the most critical parameters that requires to be accounted for in the design of the technology to improve consumers" adoption of mobile services in healthcare domains (Sorber et al, 2012;Akter et al, 2013).…”

Technology Acceptance Model for the Use of M-Health Services among Health Related Users in UAE

“…Three identified features of TPB mainly focused on investigating beliefs related to each situation, beliefs that may generalize to other situations and other beliefs that may not [12]. The combined TAM and TPB (C-TAM-TPB) developed by [23] as a hybrid model integrated to include perceived behavioral control and subjective norms into the TAM demonstrated thru empirical study that revealed results of high corresponding in describing the behaviors of users on using new technology [13]. The Decomposed Theory of Planned Behavior (DTPB) was developed by [23] with the aims on explaining the users' behaviors based on the relationship between intention, attitude, behavior and beliefs.…”