Applying Technology Acceptance Model to Explore the Determinants of Mobile Health Service: From the Perspective of Public User

With the rapid usage rate of mobile phone and advances in healthcare technology, as well as current concerns arise over public’s health, mobile health are attracting the attention of more and more people. Although previous studies on the adoption of mobile services are quite extensive, few focus on public users’ adoption of mobile health service (MHS). In this study, we examine the determinants of user adoption of MHS based on Technology acceptance model (TAM). The findings confirm that perceived usefulness positively affect users’ attitude toward MHS, perceived service availability significantly impact on perceived ease of use and perceived usefulness, perceived usefulness and attitude directly enhance intention

Determinants of Mobile Health Adoption in Burundi

Mobile health (or mHealth) can be broadly defined as the use of mobile devices and technologies to provide healthcare services. The potential of mHealth interventions to address healthcare issues, particularly in developing countries, is widely recognised. Although mHealth has yielded positive outcomes in various contexts, there is a need for designing mHealth interventions that are specifically tailored to the context of individual countries in order to increase the prospects of adoption. It is in this context that, using the Diffusion of Innovation (DOI) theory, this paper investigates the determinants for the adoption of mobile health by healthcare professionals in Burundi. From a sample of 212 primary healthcare professionals, this paper analyses what can influence Burundi’s primary healthcare workers to adopt mobile health. The results indicate that the relative advantages associated with mHealth interventions are perceived as predictors of mHealth adoption in Burundi. Moreover, work-related factors coupled with one’s experience with mobile devices are the DOI compatibility factors that influence the adoption of mHealth by Burundi’s healthcare professionals. mHealth being a new concept with the Burundi’s healthcare system, trialability and observability were found to have a significant influence on its adoption. However, mHealth complexity was found to have no influence on mHealth adoption. This paper advocates for education and awareness programs tailored specifically towards mHealth adoption by primary healthcare workers. It further recommends that the country leverage its East African Community (EAC) membership by forging partnerships with other EAC members in order to be acquainted with and learn from evidence-based outcomes of successful mHealth interventions within the region

Exploring the determinants of mobile health adoption by hospitals in China: Empirical study

Background:Although mobile health (mHealth) has the potential to transform health care by delivering better outcomes at a much lower cost than traditional health care services, little is known about mHealth adoption by hospitals.Objective:This study aims to explore the determinants of mHealth adoption by hospitals using the technology-organization-environment (TOE) framework.Methods:We conducted an interviewer-administered survey with 87 managers in Chinese public hospitals and analyzed the data using logistic regression.Results:The results of our survey indicate that perceived ease of use (β=.692; P< .002), system security (β=.473; P< .05), top management support (β=1.466; P< .002), hospital size (β=1.069; P< .004), and external pressure (β=.703; P< .005) are significantly related to hospitals’ adoption of mHealth. However, information technology infrastructure (β=.574; P< .02), system reliability (β=−1.291; P< .01), and government policy (β=2.010; P< .04) are significant but negatively related to hospitals’ adoption of mHealth.Conclusions:We found that TOE model works in the context of mHealth adoption by hospitals. In addition to technological predictors, organizational and environmental predictors are critical for explaining mHealth adoption by Chinese hospitals

Potential adoption of mobile health technologies for public healthcare in Burundi.

Doctor of Philosophy in Information Systems and Technology. University of KwaZulu-Natal, Pietermaritzburg 2016.Mobile health (or mHealth) describes the utilisation of wireless mobile communications devices in public and private healthcare. These include, but are not limited to, mobile telephones, personal digital assistants, and patient monitoring devices. Although the outcomes of mHealth interventions in developing countries have generally been assessed as positive, there is a need for designing mHealth interventions that are specifically tailored to the context of individual countries. It is in this context that this research investigates the potential adoption of mHealth technologies to provide healthcare services in Burundi from the institutional level point of view (Burundi’s Ministry of Health and Fight Against AIDS (MoH&A) and the Ministry of Communication (MoC)), users point of view (primary healthcare professionals) and mobile technology point of view (mobile technology providers). Using three theoretical frameworks i.e. the Capabilities Approach (CA) model, the Diffusion of Innovation (DOI) theory and the Unified Theory of Acceptance and Use of Technology (UTAUT), this research firstly identifies the determinants and impediments to mHealth adoption in Burundi. It further describes how mHealth could be used to address the current challenges that the Burundi’s Ministry of Health faces in terms of providing public healthcare services. It further proposes a framework for the adoption of mHealth in Burundi. At the institutional level and mobile technology point of view, semi-structured interviews were held with civil servants from the two Ministries and with mobile technology services providers. At the users’ level, a survey was conducted with primary healthcare professionals from 47 primary healthcare centres. Findings reveal that mHealth adoption can contribute to disease prevention, disease management and the provision of quality healthcare in Burundi. Although there is limited knowledge of mHealth capabilities within the Burundi’s public healthcare sector, there is a general willingness towards the adoption of mHealth notwithstanding challenges associated with its adoption. Although DOI construct-related factors such as relative advantage, compatibility, trialability and observability significantly influence the adoption of mHealth in Burundi, complexity does not. In addition, performance expectancy, effort expectancy and facilitating conditions are UTAUT constructs that significantly influence the adoption of mHealth adoption. The research advocates for an integrated and collaborative approach to addressthe impediments to mHealth adoption in Burundi

Wireless technology and clinical influences in healthcare setting: an Indian case study

This chapter argues that current techniques used in the domain of Information Systems is not adequate for establishing determinants of wireless technology in a clinical setting. Using data collected from India, this chapter conducted a first order regrssion modeling (factor analysis) and then a second order regression modeling (SEM) to establish the determinants of clinical influences as a result of using wireless technology in healthcare settings. As information systems professionals, the authors conducted a qualitative data collection to understand the domain prior to employing a quantitative technique, thus providing rigour as well as personal relevance. The outcomes of this study has clearly established that there are a number of influences such as the organisational factors in determining the technology acceptance and provides evidence that trivial factors such as perceived ease of use and perceived usefulness are no longer acceptable as the factors of technology acceptance

Public Health and Epidemiology Informatics: Recent Research and Trends in the United States

Objectives To survey advances in public health and epidemiology informatics over the past three years. Methods We conducted a review of English-language research works conducted in the domain of public health informatics (PHI), and published in MEDLINE between January 2012 and December 2014, where information and communication technology (ICT) was a primary subject, or a main component of the study methodology. Selected articles were synthesized using a thematic analysis using the Essential Services of Public Health as a typology. Results Based on themes that emerged, we organized the advances into a model where applications that support the Essential Services are, in turn, supported by a socio-technical infrastructure that relies on government policies and ethical principles. That infrastructure, in turn, depends upon education and training of the public health workforce, development that creates novel or adapts existing infrastructure, and research that evaluates the success of the infrastructure. Finally, the persistence and growth of infrastructure depends on financial sustainability. Conclusions Public health informatics is a field that is growing in breadth, depth, and complexity. Several Essential Services have benefited from informatics, notably, “Monitor Health,” “Diagnose & Investigate,” and “Evaluate.” Yet many Essential Services still have not yet benefited from advances such as maturing electronic health record systems, interoperability amongst health information systems, analytics for population health management, use of social media among consumers, and educational certification in clinical informatics. There is much work to be done to further advance the science of PHI as well as its impact on public health practice

Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology

© The Author(s), 2019. Technological advancement and personalized health information has led to an increase in people using and responding to wearable technology in the last decade. These changes are often perceived to be beneficial, providing greater information and insights about health for users, organizations and healthcare and government. However, to date, understanding the antecedents of its adoption is limited. Seeking to address this gap, this cross-sectional study examined what factors influence users’ adoption intention of healthcare wearable technology. We used self-administrated online survey to explore adoption intentions of healthcare wearable devices in 171 adults residing in Hong Kong. We analyzed the data by Partial least squares – structural equation modelling (PLS-SEM). The results reveal that perceived convenience and perceived irreplaceability are key predictors of perceived useful ness, which in turn strengthens users’ adoption intention. Additionally, the results also reveal that health belief is one of the key predictors of adoption intention. This paper contributes to the extant literature by providing understanding of how to strengthen users’ intention to adopt healthcare wearable technology. This includes the strengthening of perceived convenience and perceived irreplaceability to enhance the perceived usefulness, incorporating the extensive communication in the area of healthcare messages, which is useful in strengthening consumers’ adoption intention in healthcare wearable technology

Adoption of New Technology

The contribution of new technology to economic growth can only be realized when and if the new technology is widely diffused and used. Diffusion itself results from a series of individual decisions to begin using the new technology, decisions which are often the result of a comparison of the uncertain benefits of the new invention with the uncertain costs of adopting it. An understanding of the factors affecting this choice is essential both for economists studying the determinants of growth and for the creators and producers of such technologies. Section II of this article discusses the modeling of diffusion and Sections III to V explore the determinants of diffusion and the evidence for their importance.

Developing a model of the behavioural intentions of older adults towards internet service providers : a UK perspective

Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersCountries around the globe have an ageing population that faces problems such as cognition, memory and visual difficulties. Mobile devices and products are part of daily life and to utilise them the role of internet service providers is essential. This research-in-progress paper aims to identify and evaluate factors that influence the older population’s (over 50 years) selection of an internet service provider (ISP) as well as their continuous intention and behaviour to remain with the ISP. The outcomes of this research study are aimed at policymakers, academia and industryFinal Published versio

Adoption of New Technology

The contribution of new technology to economic growth can only be realized when and if the new technology is widely diffused and used. Diffusion itself results from a series of individual decisions to begin using the new technology, decisions which are often the result of a comparison of the uncertain benefits of the new invention with the uncertain costs of adopting it. An understanding of the factors affecting this choice is essential both for economists studying the determinants of growth and for the creators and producers of such technologies. Section II of this article discusses the modeling of diffusion and Sections III to V explore the determinants of diffusion and the evidence for their importance.