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Failure to rescue events, or events involving preventable deaths from complications, are a significant contributor to inpatient mortality. While many interventions have been designed and implemented over several decades, this patient safety issue remains at the forefront of concern for most hospitals. In the first part of this study, the development and implementation of one type of highly studied and widely adopted rescue intervention, algorithm-based patient assessment tools, is examined. The analysis summarizes how a lack of systems-oriented approaches in the design and implementation of these tools has resulted in suboptimal understanding of patient risk of mortality and complications and the early recognition of patient deterioration. The gaps identified impact several critical aspects of excellent patient care, including information-sharing across care settings, support for the development of shared mental models within care teams, and access to timely and accurate patient information.

This chapter describes the use of several system-oriented design and implementation activities to establish design objectives, model clinical processes and workflows, and create an extensible information system model to maximize the benefits of patient state and risk assessment tools in the inpatient setting. A prototype based on the product of the design activities is discussed along with system-level considerations for implementation. This study also demonstrates the effectiveness and impact of applying systems design principles and practices to real-world clinical applications.

Several job characteristics have been suggested to influence workers’ well-being. For example, Herzberg (1968) differentiated job characteristics that offset dissatisfaction such as social relations from job aspects that foster job satisfaction such as opportunities for advancement. While Hackman and Oldham (1976) focused on the motivational potential of job characteristics such as task identity and feedback, Karasek (1979) accentuated time pressure as a pivotal job demand. Together these models point out that various job characteristics may influence workers’ functioning.

This chapter examines employee learning behavior as a function of work characteristics. Karasek’s Demand-Control (DC) model proposes that high job demands and high job control are conducive to employee learning behavior. A review of 18 studies revealed that whereas most of these supported these predictions, methodological and conceptual shortcomings necessitate further study. Perhaps the most important weakness of the DC-based research on learning is that the conceptual foundations of the DC model regarding employee learning behavior are quite rudimentary, while the role of interpersonal differences in the learning process is largely neglected. The second part of this chapter explores the relationship between work characteristics and learning behavior from the perspective of German Action Theory (AT). AT explicitly discusses how work characteristics affect learning behavior and assigns a role to interpersonal differences. We conclude by presenting a model that integrates action-theoretical insights on learning with DC-based empirical results.

Purpose – This chapter traces the development of cycling in several European countries over the period from the 1880s to the present, with special focus on the two cycling nations, Denmark and The Netherlands.

Methodology – Drawing on a wide array of research on bicycle use in Europe in the twentieth century as well as primary sources, the chapter pays particular attention to the users of the bicycle, their organisations and the mixture of male and female, young and old, and rich and poor, because these users were the people who actually shaped cycling cultures.

Findings – While acknowledging that geographical conditions cannot be fully ruled out as contributing factors, the authors point out that political, social and cultural aspects were all woven together into what would become increasingly distinctive national cycling cultures.

Value – This study provides historical context for recent efforts to increase cycling participation by identifying relevant cultural, social and political factors, and providing insights into the trajectories of Dutch and Danish cycling cultures.