Suchergebnisse

Background: Shared governance of employees is crucial in building trust within healthcare organizations. Control over practice, ownership of actions, feeling of independence and involvement in work decisions significantly increase employees' intent to stay, whereas exclusion from the decision-making process leads to a higher rate of turnover. Improving decision-making and enhancing collaboration among nursing staff and nurse leaders pave the way for greater autonomy and management of healthcare delivery. Purpose: The study aims to examine shared governance perceptions among Jordanian registered nurses in different clinical areas. Methods: A descriptive, cross-sectional design was used using the RN-focused index of professional nursing governance survey. A convenient sample consisting of 261 nurses was recruited from three hospitals in Jordan between 2017 and 2018. Results: The total shared governance score ranged between 86 and 344 with a mean of 175.6. There were slight differences in the total shared governance scores among the hospitals under study. However, when the sub-scales were compared across the three hospitals, some differences emerged, specifically in nurses' total perceived personnel and total perceived goal and conflict. The median age of the sample members was 28 years and about a half of them (54%) were males. Conclusion: Our results demonstrated that there is a room to increase the level of nurses' control and influence in decision-making, particularly in those departments that scored lower on the index of professional nursing governance. Implications for Nursing: The study results have implications in nursing administration, policy development and decision-making when choosing/adopting a model of organizational SG to cultivate excellence in the workplace. Keywords: Shared governance, Registered nurses, Work environment.

Background Many countries adopt eHealth applications to support patient-centered care. Through information exchange, these eHealth applications may overcome institutional data silos and support holistic and ubiquitous (regional or national) information logistics. Available eHealth indicators mostly describe usage and acceptance of eHealth in a country. The eHealth indicators focusing on the cross-institutional availability of patient-related information for health care professionals, patients, and care givers are rare. Objectives This study aims to present eHealth indicators on cross-institutional availability of relevant patient data for health care professionals, as well as for patients and their caregivers across 14 countries (Argentina, Australia, Austria, Finland, Germany, Hong Kong as a special administrative region of China, Israel, Japan, Jordan, Kenya, South Korea, Sweden, Turkey, and the United States) to compare our indicators and the resulting data for the examined countries with other eHealth benchmarks and to extend and explore changes to a comparable survey in 2017. We defined "availability of patient data" as the ability to access data in and to add data to the patient record in the respective country. Methods The invited experts from each of the 14 countries provided the indicator data for their country to reflect the situation on August 1, 2019, as date of reference. Overall, 60 items were aggregated to six eHealth indicators. Results Availability of patient-related information varies strongly by country. Health care professionals can access patients most relevant cross-institutional health record data fully in only four countries. Patients and their caregivers can access their health record data fully in only two countries. Patients are able to fully add relevant data only in one country. Finland showed the best outcome of all eHealth indicators, followed by South Korea, Japan, and Sweden. Conclusion Advancement in eHealth depends on contextual factors such as health care organization, national health politics, privacy laws, and health care financing. Improvements in eHealth indicators are thus often slow. However, our survey shows that some countries were able to improve on at least some indicators between 2017 and 2019. We anticipate further improvements in the future.