Interdisciplinary Research and Publication Opportunites in Information Systems and Health Care

Healthcare is a large and growing industry that is experiencing major transformation in its information technology base. IS confronted similar transformations in other industries and developed theories and methods that should prove useful in healthcare applications. In turn, IS may benefit from incorporating knowledge from health informatics, a discipline that studies IT within medical and healthcare contexts. Despite the benefits, it is often a struggle for interdisciplinary researchers in IS and healthcare to publish their work, especially in journals directed toward IS audiences. In this paper, we outline strategies and resources to help ease this publication bottleneck. As a part of our discussion, we identify and categorize journal outlets for interdisciplinary research in IS and healthcare

An Integrative Model of IT Continuance: Applying Measures of Intention, Prior IT Use, and Habit Strength Across Conditions of Sporadic and Frequent IT Use

This paper is motivated by the desire to integrate and expand two recent literature streams, one that models effects of prior IT use and habit strength on continued IT use and another that studies how to apply such models to IT that are used in a characteristically sporadic manner. We find joint predictions of continuance intention, prior IT use, and habit strength within our research model are superior to subsets of the model across the range of frequency we studied. However, subsets of the model are able to provide reasonable predictions where all measures are not available

Predicting Patients’ Use of Provider-Delivered E-Health: The Role of Facilitating Conditions

This chapter presents a new rational-objective (R-O) model of e-health use that accounts for effects of facilitating conditions as well as patients’ behavioral intention. An online questionnaire measured patients’ behavioral intention to use a new e-health application as well as proxy measures of facilitating conditions that assess prior use of and structural need for health services. A second questionnaire administered three months later collected patients’ self-reported use of e-health during the intervening period. The new model increased predictions of patients’ e-health use (measured in R2) by more than 300% over predictions based upon behavioral intention alone, and all measured factors contributed significantly to prediction of use during the three-month assessment period

Effects of Prior Use, Intention, and Habit on IT Continuance Across Sporadic Use and Frequent Use Conditions

This article is motivated by the desire to integrate and expand two literature streams, one that models effects of prior information technology (IT) use and habit strength on continued IT use and another that studies how to apply such models to IT that are used in a characteristically sporadic manner. We find that joint predictions of continuance intention, prior IT use, and habit strength within our research model are superior to subsets of the model across the extended range of usage frequency we studied. However, subsets of the model can also provide reasonable predictions where all measures are not available

Trends in U.S. Consumers’ Use of E-Health Services: Fine-Grained Results from a Longitudinal, Demographic Survey

Although growth in U.S. consumers’ overall use of e-health is strong, it is being driven by only a portion of the e-health services that are offered through online health portals. Fine-grained, longitudinal analysis of three representative e-health services shows that, while online communication with medical personnel has grown consistently between 2003 and 2012, the purchase of health supplies online plateaued by 2007, and participation in online support groups has been flat since 2003. Socio-economic factors of income and education level continue to have an impact on consumers’ use of e-health; however, differences based on age, sex, and race/ethnicity are trending lower during this period. The findings caution against the common practice of studying e-health adoption principally at the level of online health portals, which can mask substantial variation in adoption trends among the underlying e-health services, and suggest that it is important to update trend studies on a regular basis to maintain currency

Predicting Continuing Acceptance of IT in Conditions of Sporadic Use

This paper tests a new predictive model of IT acceptance in conditions where use is characteristically sporadic. The model utilizes cognitive constructs from the well-known technology acceptance model (TAM) [8] in combination with habit and a new construct measuring perceived regularity of use. Initial tests indicate that the model explains several important effects of regularity and predicts substantially more of the variance in continuing acceptance than alternative models

The Distinct Roles of Prior IT Use and Habit Strength in Predicting Continued Sporadic Use of IT

This article studies prediction of continued IT use in conditions where individuals use the technology sporadically. Our study augments the unified theory of acceptance and use of technology (UTAUT) model [Venkatesh et al., 2003] with measures of prior IT use frequency and habit strength. We find these two factors provide distinct predictions which explain most of the effects that occur within the model under sporadic use conditions

Prevalence of extreme detergent resistance among the \u3ci\u3eEnterobacteriaceae\u3c/i\u3e

The detergent-resistance properties of 208 independent isolates of the Enterobacteriaceae have been examined. Of these bacterial strains, 200 were able to grow in the presence of ≥5% sodium dodecyl sulfate, including all members of the Klebsielleae tribe. This resistance does not appear to be plasmid encoded. It is proposed that detergent-resistant organisms he termed saponotolerant or saponophilic, by analogy with other microorganisms occupying harsh ecological niches. In contrast to their prevalent resistance to anionic detergents, not one of the 208 strains tested was found to grow in the presence of three different cationic detergents. This sensitivity to cationic detergents may be of significance in combating nosocomial infections. La resistance it I\u27 action de detergents a ete evaluee chez 208 souches non-apparentees d\u27 Enterobacteriaceae. Deux cents de ces souches bacteriennes incluant tous les membres de la tribu des Klebsielleae ont ete capables de pousser en presence d\u27une concentration ≥5% de dodecyl sulfate de sodium. Cette resistance ne semble pas de nature plasmidique. Pour designer ces organismes resistants aux detergents, il est propose d\u27utiliser les termes saponotolerants ou saponophiles par analogie avec d\u27autres microorganismes qui occupent aussi des niches ecologiques hostiles. Contrastant avec la forte prevalence des souches resistantes aux detergents anioniques, on constate qu\u27aucune des 208 souches n\u27etait capable de pousser en presence de trois detergents cationiques differents. Cette sensibilite aux detergents cationiques pourrait s\u27averer interessante it exploiter dans la lutte aux infections nosocomiales