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In an attempt to enhance their effectiveness, public health institutions are making a great effort to develop online health care services targeted to all citizens. The initial acceptance of these services by patients is important but their success depends on its continued use, that is, on patients' electronic loyalty (eLoyalty). In this research, an integrated model combining the Technology Acceptance Model (TAM) and the Seddon's Model is developed to test online health care services success from a sample of 256 healthcare end users. The results obtained suggest that quality perception dimensions (i.e. information quality and system quality) are antecedents of perceptual dimensions of individual benefits (i.e., perceived usefulness and satisfaction) and of organizational impact dimensions (i.e. eLoyalty). In other words, by promoting the idea that citizens can become more aware of health care services success and respond to them, they will benefit themselves and others. [ABSTRACT FROM AUTHOR]

Background With the passing of time, knowledge like other resources can become obsolete. Thus, people in a healthcare system need to update their knowledge in order to keep pace with the ongoing changes in their operational environment. Information technology continually provides a great amount of new knowledge which can lead to healthcare professionals becoming overloaded with knowledge. This overloading can be alleviated by a process of unlearning which enables the professional to retain just the relevant and critical knowledge required to improve the quality of service provided by them. Objective This paper shows some of the tools and methods that Hospital-in-the-Home Units (HHUs) have used to update the physician–patient knowledge and the technology knowledge of the HHUs' personnel. Design A survey study was carried out in the HHU in Spanish health system in 2010. Setting Fifty-five doctors and 62 nurses belonging to 44 HHUs. Interventions None. Results Three hypotheses are presented and supported, which suggest that technology and physician–patient knowledge is related to the unlearning context and the unlearning context impacts positively on the quality of health services provided. Conclusion The key benefits of the unlearning context for the quality of service provided in HHUs are clear: it enables them to identify and replace poor practices and also avoids the reinvention of the wheel (e.g.: by minimizing unnecessary work caused by the use of poor methods) and it reduces costs through better productivity and efficiency (improving services to patients). [ABSTRACT FROM PUBLISHER]