Guest Editorial: The Ethics of Reviewing

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67095/2/10.1177_00220345760550050201.pd

What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants

©Tim Shaw, Deborah McGregor, Melissa Brunner, Melanie Keep, Anna Janssen, Stewart Barnet. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.10.2017. BACKGROUND: Despite rapid growth in eHealth research, there remains a lack of consistency in defining and using terms related to eHealth. More widely cited definitions provide broad understanding of eHealth but lack sufficient conceptual clarity to operationalize eHealth and enable its implementation in health care practice, research, education, and policy. Definitions that are more detailed are often context or discipline specific, limiting ease of translation of these definitions across the breadth of eHealth perspectives and situations. A conceptual model of eHealth that adequately captures its complexity and potential overlaps is required. This model must also be sufficiently detailed to enable eHealth operationalization and hypothesis testing.OBJECTIVE: This study aimed to develop a conceptual practice-based model of eHealth to support health professionals in applying eHealth to their particular professional or discipline contexts.METHODS: We conducted semistructured interviews with key informants (N=25) from organizations involved in health care delivery, research, education, practice, governance, and policy to explore their perspectives on and experiences with eHealth. We used purposeful sampling for maximum diversity. Interviews were coded and thematically analyzed for emergent domains.RESULTS: Thematic analyses revealed 3 prominent but overlapping domains of eHealth: (1) health in our hands (using eHealth technologies to monitor, track, and inform health), (2) interacting for health (using digital technologies to enable health communication among practitioners and between health professionals and clients or patients), and (3) data enabling health (collecting, managing, and using health data). These domains formed a model of eHealth that addresses the need for clear definitions and a taxonomy of eHealth while acknowledging the fluidity of this area and the strengths of initiatives that span multiple eHealth domains.CONCLUSIONS: This model extends current understanding of eHealth by providing clearly defined domains of eHealth while highlighting the benefits of using digital technologies in ways that cross several domains. It provides the depth of perspectives and examples of eHealth use that are lacking in previous research. On the basis of this model, we suggest that eHealth initiatives that are most impactful would include elements from all 3 domains

Vertical structure models of the 1990 equatorial disturbance on Saturn

In September 1990, an atmospheric disturbance in the form of an abnormally high albedo area developed in the equatorial region of Saturn. Events of this nature are exceedingly rare for this planet as they have been detected in the equatorial region on only two other occasions in over a century. In ongoing monitoring of the atmospheres of the outer planets, CCD imaging observations of Saturn by New Mexico State University's Tortugas Mountain Station were made before, during, and after the disturbance's formation through both broad-band filters and narrow-band visible/near-IR filters centered in methane absorption bands. Also, multispectral Hubble Space Telescope observations were made within weeks of the event and later in 1991. These observations were calibrated and scans of reflectivity at constant latitude are being modeled with a vertically inhomogeneous, multiple scattering model previously used to model Jupiter's South Equatorial Belt brightening event in 1989. In addition, the reflectivity of the disturbance as a function of the scattering angles is being obtained so as to model this feature's vertical structure in particular. A preliminary report of the modeling results will be presented

Employer Perceptions about Addiction Recovery and Hiring Decisions

Drug and alcohol addiction is a nationwide epidemic with an increasing number of Americans being affected. Individuals who seek treatment for their addiction often face barriers, such as costs, waiting time, and available support, and those who are able to receive treatment are likely to experience or anticipate stigma from others. Existing literature has found that many employers have negative perceptions of individuals in addiction recovery. However, there is limited research that has analyzed whether these negative perceptions affect hiring decisions. We predicted that employers would have negative perceptions of those in recovery, would be less likely to hire individuals in recovery, and that those with previous substance misuse would perceive stigma from employers. A survey was completed by 53 employers using the REDCap web platform. There were 23 respondents who had a history of substance misuse. The survey contained items from the Addiction Attitudes and Beliefs Scale (AABS) and the Tobacco, Alcohol, Prescription medication, and other Substance use Tool (TAPS). The AABS contained modified items from the Substance Use Stigma Mechanisms Scale (SU-SMS) and the Perceived Stigma Addiction Scale (PSAS). Results indicated that the majority of employers had negative perceptions of people in addiction recovery, but employers were willing to hire those individuals. Results suggested that those with a history of addiction perceived stigma from their employers. Limitations of this study include lack of generalizability due to the small sample size and limited geographic area. Participants may have reported in a way that would make them appear socially desirable