Consumer PHIM Going Beyond Paper and Computer Anxiety

Personal health information management (PHIM) refers to an individual’s use of various tools (i.e., email, paper, sticky notes, calendars, health portals) to manage their healthcare information (Jones 2008). With advances in technology, it becomes even more imperative that the healthcare community understand the factors that may influence consumers’ intentions to use various PHIM tools to manage his/her healthcare information. The Theory of Planned Behavior (TPB) and constructs from the Technology Acceptance Model (TAM), and the Computer Anxiety Rating Scale (CARS) guide this investigation into how consumers might use patient health portals to manage their healthcare information

Retrieving e-Health Research: The Challenge of Accessing the Knowledge

The Internet has increasingly become a viable tool for delivering interventions to promote better health behaviors and manage diseases. As an information and communication tool, it leverages the broad reach of mass media with the interactive features of interpersonal channels. As such, the past 10 years has seen a proliferation of pilot studies, evaluative studies and randomized controlled trials designed to test the efficacy of web-based interventions on health outcomes. These efficacy studies look at a variety of ways Internet-based interventions (e-health) can be used across a number of health conditions and in different contexts. In particular, the last two to three years has seen a significant increase in efficacy studies of web-based interventions published in the literature across different disciplines. The challenge of this from a scholarly perspective is that the sheer number of different ways the literature has been described and indexed has made it increasingly difficult for scholars to locate relevant articles and draw clear conclusions about the efficacy of web-based interventions across disparate fields of interest. This study explores how this field of inquiry has grown and matured in the past 10 years by examining the growth of the literature specific to Internet-based health interventions and to explore the changes in terminologies used to describe this field. A frequency analysis of keywords used to describe web-based health intervention studies was conducted on over 150 peer-reviewed journal articles and a listing of high-value keywords were generated. A large number of unique keywords were discovered to be associated with the body of publications located according to the methodology described. The results of this study will be of specific use to researchers interested in web-based health interventions and will be of practical value in aiding their literature searches. This keyword analysis also reveals interesting insights into the development of an emerging interdisciplinary field of inquiry based on how scholarly activities are being described and/or represented across disciplines and specializations

Predictors of Online Information Seeking by International Students when Disaster Strikes Their Countries

This study explores factors influencing international students\u27 likelihood of using the Internet to seek disaster-related information should a disaster affect their countries. A cross-sectional survey was conducted in two universities in America between August 1 and September 30, 2005. Two hundred twenty-nine (n = 229) students completed the self-administered questionnaires. ANOVA analyses found that respondents\u27 Internet self-efficacy had no significant impact on their intentions to seek disaster-related information on the Internet. However, respondents\u27 Internet dependency and attitude toward seeking information online were found to have a significant effect on such intentions

sj-docx-1-ggm-10.1177_23337214231224571 – Supplemental material for Adherence Promotion With Tailored Motivational Messages: Proof of Concept and Message Preferences in Older Adults

Supplemental material, sj-docx-1-ggm-10.1177_23337214231224571 for Adherence Promotion With Tailored Motivational Messages: Proof of Concept and Message Preferences in Older Adults by Shenghao Zhang, Michael Dieciuc, Andrew Dilanchian, Mia Liza A. Lustria, Dawn Carr, Neil Charness, Zhe He and Walter R. Boot in Gerontology and Geriatric Medicine</p