Global mHealth policy arena: status check and future directions.

In this review, we examine an important piece of the mHealth puzzle that has received scant attention-health policy. The question is whether health policy ultimately will serve to unite nations in advancing global mHealth or, as Mars and Scott suggested in 2010, keep nations isolated and ultimately making their policy decisions in "eHealth silos". Such a non-collaborative approach seriously hampers the potential for using mobile health technologies to deliver health care across borders, assuring individuals access to affordable, convenient, and quality healthcare in underserved regions. From a global perspective, mHealth policy review is difficult as some important policies may be subsumed in comprehensive planning and strategy documents. Political, environmental, economic, organizational, and technology disparities across nations represent a significant impediment to developing mHealth products and services that can be deployed globally. To date, there is modest evidence that such challenges are being addressed. Even though payers can encourage adoption of mHealth with financial incentives for use, it appears that payment or reimbursement tends to be a roadblock for almost all nations, whether they are emerging or developed. If payment for mHealth services is not guaranteed, business models will not be sustainable and providers will have fewer opportunities for scalability. Furthermore, because mHealth policies typically are subject to some type of government scrutiny and oversight, many product developers and entrepreneurs may turn elsewhere for their investments. Global resource scarcity also challenges optimal mHealth deployment, and governments seek to ensure improved population health outcomes as return on their mHealth investments. Unfortunately, such justification is difficult as evaluation methods simply have not kept pace with mHealth technology capability. Requisite measurement tools are sorely lacking when it comes to evaluating efficacy of mHealth interventions, due in part to insufficient research to inform development of needed measurement tools. Because most robust mHealth research trials have been conducted in the developed world with its impressive technology infrastructure and not in developing nations where the health needs are greatest, evaluation of mobile technology intervention from a global perspective tends to be insufficient to inform policy decisions.

A model for mHealth skills training for clinicians: meeting the future now.

We describe the current state of mHealth skills acquisition, education, and training available to clinical professionals in educational programs. We discuss how telemedicine experienced exponential growth due in large part to the ubiquity of the mobile phone. An outcome of this unprecedented growth has been the emergence of the need for technology skills training programs for clinicians that address extant curricula gaps. We propose a model to guide the development of future training programs that incorporate effective training strategies across five domains: (I) digital communication skills; (II) technology literacy and usage skills; (III) deploying telehealth products and services; (VI) regulatory and compliance issues; and (V) telehealth business case. These domains are discussed within the context of interprofessional teams and broader organizational factors.

Developing a measure of engagement with telehealth systems: The mHealth Technology Engagement Index.

Introduction Telehealth systems and mobile health (mHealth) devices allow for the exchange of both physical and mental healthcare data, as well as information from a patient to a practitioner, or care recipient to caregiver; but there has been little research on why users are motivated to engage with telehealth systems. Given this, we sought to create a measure that satisfactorily assesses human motivation to use telehealth devices. Methods 532 survey responses were used in an exploratory factor analysis and confirmatory factor analysis, which tested and retested the feasibility of this new measure. Convergent and divergent validity analyses indicated that the mHealth Technology Engagement Index (mTEI) is a unique measure of motivation. Results The results indicated that autonomy, competence, relatedness, goal attainment, and goal setting underpin motivation to use telehealth systems. Discussion The mTEI shows promise in indexing human motivation to use telehealth technologies. We also discuss the importance of developing measurement tools based on theory and how practitioners can best utilize the mTEI.

Considerations for the Telehealth Systems of Tomorrow: An Analysis of Student Perceptions of Telehealth Technologies.

BACKGROUND: While much is known about factors that facilitate telehealth adoption, less is known about why adoption does or does not occur in specific populations, such as students. OBJECTIVE: This study aims to examine the perceptions of telehealth systems within a large student sample. METHODS: Undergraduate students (N=315) participated in a survey of the perceived advantages and disadvantages of telehealth technologies. The responses to the survey were analyzed using thematic analysis. RESULTS: We found that students were likely to adopt telehealth systems for the following reasons: (1) the system worked efficiently, (2) the convenience of telehealth, and (3) to gain access to health services. Students also perceived several disadvantages to telehealth systems, such as issues of trust (ie, security, privacy), the impersonal nature of telehealth systems, and they were concerned about the potential for major system errors. CONCLUSION: By understanding the current barriers to telehealth adoption in a cohort of students, we can not only better anticipate the future needs of this group, but also incorporate such needs into the design of future telehealth systems.

E-service learning: A pedagogic innovation for healthcare management education.

This paper proposes an innovation in service learning that we identify as e-service learning. By adding the "e" to service learning, we create a service learning model that is dynamic, mediated by technology, and delivered online. This paper begins by examining service learning, which is a distinct learning concept. Service learning furnishes students with opportunities for applied learning through participation in projects and activities in community organizations. The authors then define and conceptualize e-service learning, including the anticipated outcomes of implementation such as enhanced access, quality, and cost effectiveness of healthcare management education. Because e-service learning is mediated by technology, we identify state of the art technologies that support e-service learning activities. In addition, possible e-service learning projects and activities that may be included in healthcare management courses such as finance, human resources, quality, service management/marketing and strategy are identified. Finally, opportunities for future research are suggested.