International Journal of Electronic Healthcare (5 papers in press)
Factors Affecting Mobile Immunization Notification System Adoption in Uganda
by Jackson Abandu, Florence Kivunike
Abstract: Objective: The aim of this study was to assess factors that affect the adoption of mobile immunization notification system in Uganda.
Methods: Descriptive survey design and structured questionnaires were employed for the study that was carried out in Northern part of Uganda. A total of 51 health workers and mothers were purposively sampled from Gulu Referral and Independent hospitals. Statistical package for social sciences was used to evaluate the impact of the identified factors on the adoption of the proposed system.
Results: The findings showed that e-health knowledge; trust; ICT skills; accessibility; support; awareness; knowledge sharing and compatibility affect the adoption of the proposed system. Conclusions: The study provides informative directions to adopt the proposed system. Government needs to improve ICT infrastructure and support user training on e-health to promote the adoption of the system.
Keywords: Mobile; e-health; Immunization; Infrastructure; Process; Contextual and Content.
Analysis and Development of Mobile Perinatal Mental Health System
by Mohammad I. Merhi, Naima Islam, Greg Hintz
Abstract: Perinatal depression includes major and minor depressive episodes during pregnancy or in the first twelve months after birth. The American College of Obstetricians and Gynecologists recommends that clinicians screen patients at least once during pregnancy for depression and anxiety symptoms using a standardized tool. This paper attempts to consolidate current depression screening tools into an electronic application that can be accessed from a computer, tablet or cell phone and can be sent directly to the primary care physicians office for review. The object-oriented approach was used to analysis and design the system. The systems requirements are first gathered using questionnaire and interviews with practitioners; then, analyzed based on unified modeling language techniques such as use case, class, and sequence diagrams. This system will aid healthcare providers in identifying patients who are at risk of perinatal depression.
Keywords: Mental health system; perinatal mental health; depression system; health systems; perinatal system.
User-centered design and assessment of a prescription prior authorization processing system
by Ramandeep Kaur, Patricia Morreale
Abstract: Electronic Prior Authorization (ePA) is an efficient way to ensure prior authorization completion for delivery of patient medications. Benefits include time savings for prescribers as well as cost-saving and quality-assurance solutions for insurers. Existing ePA systems have a gap in knowledge among medical professionals using the ePA systems and the IT solution providers designing the ePA systems. As a result, standard ePA designs lack components to facilitate the workflow. The research study presented here interviewed key stakeholders, including prescribers, care nurses, and call center agents, and used that information for development. Focusing on Case Create and Case Search functions, a new user-centered ePA system was designed. Assessment outcomes of the new system, SmartPA, include advocacy for secure centralized portals, with cross-checking search fields and integration with major formulary vendors. SmartPA proved to be more efficient in usability testing with stakeholders and provided a clean UI, supporting faster, secure case creation and searching, on a stable platform.
Keywords: human computer interaction (HCI); user centered design (UCD); electronic prior authorization (ePA); pharmacy benefit management (PBM); digital healthcare systems.
TsP-SA: usage of time series techniques on healthcare data
by Soheila Mehrmolaei, Mohammad Reza Keyvanpour
Abstract: Abstract: In the recent years, there has been an increase in the usage of time series techniques on healthcare data. Although much effort has been made to develop techniques of time series to reach a more accurate outcome in the healthcare, there is a lack of comprehensive categorization of such techniques to make the possibility of exact study, comparison and assessment of techniques in terms of the ability predicting and specified evaluation criteria. We proposed TsP-SA, a systematic framework which consists of the three main components. First, categorization of time series prediction techniques based on the strategy ahead during the last decade in the context of healthcare. Besides, main characteristics of each category are highlighted for further research in this field. Second, defining general evaluation criteria to analyze proposed categorization. Third, analytical evaluation to illustrate a qualitative comparison between each category of techniques which is a proof of the understanding of their supremacy to one another. It is hoped that proposed framework can be used as a guideline in an appropriate selecting of time series prediction technique and provide a helpful platform for the comparative study in the field of healthcare. We believe that using this as a stimulus can help in the proper selecting technique, efficiency improvement, and development of techniques in researcher's future activities.
Keywords: time series prediction; TsP-SA; categorization of techniques; analytical evaluation; healthcare.
The Transformative Influence of Social Media: An Exploratory Case Study of Empowerment in Repressive Society
by Guruprasad Gadgil, Gayle Prybutok, Victor Prybutok
Abstract: The literature and the theoretical foundation in this discipline shows that little
research has explored the complex decisions faced by transgender entrepreneurs in
India. Popular media in India report on the entrepreneurial success of stalwart
transgender female entrepreneurs there. Our work describes a case study that serves as
a first step in addressing this research gap and investigates the factors that influence
entrepreneurism among transgender individuals in this restrictive culture.
Based on existing research, we construct a model to explain the relationships
between factors that affect entrepreneurial behavior among trans genders, and then
modify the model based on interview data collected from our key informant. We
introduce new constructs to describe the relationships that influence entrepreneurial
behavior among transgender entrepreneurs in India.
A key finding points out the important role that social networking plays in
entrepreneurial success when the transgender entrepreneurs skill set is an integral part
of a small scale or family business endeavor. We also identified challenges that
influence autonomy, achievement, and perceived transgender behavioral control among
transgender entrepreneurs. This study uses a qualitative research methodology and
suggests future research directed at understanding the unique aspects of
entrepreneurism in the transgender community in India. This study informs academic
literature on entrepreneurism and public policy in India about this population of entrepreneurs. Public sectors in India can learn how to create the required infrastructure
for transgender entrepreneurs who seek to improve their standard of living, reclaim
their rightful place as responsible, productive citizens, and reduce the burden of
responsibility for the community to which they belong in India.
Keywords: Transsexual Entrepreneurs; Challenges; Autonomy; Achievement; Social networking Site influence; Perceived behavioral control.