Suchergebnisse

Medical cannabis is a topic of increasing debate. To investigate this issue, we conducted a content analysis of Israeli news coverage of medical cannabis from 2007 to 2013. A deductive framing analysis examined three elite issue frames—medical, policy, and law enforcement. Additionally, inductive analysis revealed a a fourth, nonelite patients' frame. Each frame was associated with a distinct pattern of textual elements, including portrayal of patients, references to cannabis, opinion about medical cannabis, and salience of scientific research. The most common and most stable frame was the policy frame. Implications for framing theory are discussed.

eHEALS is one of the most prevalent scales used to measure eHealth literacy. However, significant criticism toward its conceptualization had raised. This study tests the effects of eHEALS alongside constructs from the elaboration likelihood model and information seeking processes, within a multidimensional model to predict medical decision-making quality. We test this model using a sample of 56 participants who completed a 45-minute online simulation task, requiring them to offer recommendation for a hypothetical medical scenario. Findings revealed that neither eHealth literacy nor elaboration likelihood independently predicted decision quality. However, eHEALS was positively associated with higher decision quality, but only among participants who had greater motivation and ability to process health information, and who used more complex information seeking strategies. Findings suggest that the eHEALS measure can be examined using a multidimensional theoretical approach to illustrate the ways in which patients obtain and utilize health information to make informed decisions.