Search results

The purpose of this paper was to assess a health communication campaign designed to reduce distracted driving among college students within the USA.

Utilizing central interviewing techniques, participants were asked qualitative and quantitative items soliciting feedback concerning the efficacy of the messages.

The findings indicated students understood, believed, found the messages appealing, and thought the campaign discouraged distracted driving. Several themes emerged from the qualitative analysis, including the prominence of the logo, recommendation to use bright colors, and the suggestion to use more intense graphics.

First, the data were collected by conducting interviews, potentially leading to some shortcomings associated with self-reported data. Second, while the results indicated that participants perceived that the messages discouraged distracted driving, none of the central intercept interview items assessed participants’ intentions to change their behavior. Third, a convenience sample was used, and thus the generalizability of the results are limited and warrant further research. Finally, because multiple researchers conducted the interviews, it is possible that data were interpreted differently, which could pose a threat to inter-rater reliability.

Message testing provides practitioners with invaluable feedback in designing effective messages. However, suggestions from the target audience need to be carefully considered before revising messages, as the lay public are not experts in prevention.

Message testing provides health educators with a specific method to receive feedback from the target audience to ensure they understand and are motivated by the message, resulting in a more effective health communication campaign.

In this chapter, we identify three distinct transformational performance improvement (TPI) approaches commonly used to redesign work processes in health care organizations. We describe the unique components or tools that each approach uses to improve the delivery of health services. We also summarize what is empirically known about the effectiveness of each TPI approach according to systematic reviews and recent studies published in the peer-reviewed literature. Based on examination of this research, we discuss what knowledge is still needed to strengthen the evidence for whole system transformation. This involves the use of conceptual frameworks to assess and guide implementation efforts, and facilitators and barriers to change as revealed in a recent evaluation of one major initiative, the Lean Enterprise Transformation (LET) at the Veterans Health Administration. The analysis suggests ways in which TPI facilitators can be developed and barriers reduced to improve the effectiveness and sustainability of quality initiatives. Finally, we discuss appropriate study designs to evaluate TPI interventions that may strengthen the evidence for their effectiveness in real world practice settings.