Nursing management should change management rules and establish systems so that nurses work in a blame-free culture, which examines system factors as causes of error rather than individuals.

Data-based feedback as a management tool has been associated with improved organizational functioning. However, systematic use of this intervention within Greek hospitals has been limited. Therefore, the next phase of the project will be used as feedback to the Governing Board and the personnel of the hospital. Finally, a study will be planned to investigate the effects of implementing changes based on parents' ratings of staff performance.

The study provides an understanding why physicians fail to report adverse events so that systems can be introduced and cultures developed, which make this easier.

The growing literature relating to job satisfaction among nurses concludes that more research is required to understand the organizational, professional, and personal variables that improve nurse satisfaction and retention. This study developed and psychometrically tested a nurse satisfaction questionnaire, suitable for the nurses' working conditions in Greece. A cross-sectional survey, in Greek, was conducted in three public hospitals. Two-hundred and twenty-five Greek nurses evaluated the psychometric properties of the Greek Nurses' Job Satisfaction Scale (GNJSS). The 18-item questionnaire showed a high degree of internal consistency (Cronbach's alpha = 0.907) and revealed four factors that are consistent with the predetermined subscales and the conceptual base of the GNJSS. The factors, which explain 62.420% of variance, are associated with interaction and recognition, leadership style and organizational policies, self-growth and responsibility, and remuneration and work itself. Although it would be useful to carry out further analyses to assess time-based properties of reliability, the GNJSS questionnaire is a reliable and valid instrument to assess nurses' job satisfaction.

Emerging M-Health technologies provide fundamentally different ways of looking at tailored communication technology. As a result, tailored communications research is poised at a crossroads. It needs to both build on and break away from existing frameworks into new territory, realizing the necessary commitment to theory-driven research at basic, methodological, clinical, and applied levels. In this context, the revolution of M-Health holds great promise in both health care and public health. The chapter envisions tailored M-Health communication in the context of patient-centered care, as it remains to be seen whether the revolution in M-Health will provide the tools to engineer sufficient impact on patient-centered care and tailored communication.