Findings provide information for nursing and health policymakers to develop policies to improve quality of work life among nurses that can contribute to quality of nursing care. This includes the working environment, commitment to the organization and measures to reduce job stress.
Our findings add to increasing international evidence that nurses' poor working conditions result in negative outcomes for professionals, patients and health systems. Policymakers need to be aware of the issues regarding nurses' extended work hours, which has been found to contribute to burnout. Urgently, nurse and health administrators need to develop and implement appropriate nursing overtime policies and strategies to help reduce this phenomenon, including measures to overcome the nursing shortage.
The purpose of this descriptive study was to explain the levels of knowledge about and involvement in national health policy development by nurses in Thailand. The study used quantitative and qualitative means to gather data about the topic from two groups of professional nurses: 2121 nurses who worked in hospitals around the country and 26 nurse leaders who were members of steering committees in nursing professional organizations. A self-administered questionnaire and an interview guide regarding knowledge and involvement in national health policy were used for collecting the data. The content validity and reliability of the questionnaire were assured. The results showed that almost two-thirds of the sample had a high level of knowledge about national health policy development but that almost three-quarters of the sample had no involvement in national health policy development. The interviews of the nurse leaders showed that some of them had been involved directly in formulating health policy but most of them thought that they had not been involved directly. The results demonstrated that it is essential that nurses understand and be actively involved in national health policy development.
It is a challenge to nurses when taking collaborative action to meet patients' expectations and needs, however, it will move nursing practice in Chinese hospitals forward.
Aim To provide an updated definition of the concept of nurses’ workplace social capital that addresses changes in the contemporary nursing workforce. Background Social capital explains the components of a constructive work environment. Advancements in psychology of workplace and changes in the demographic structure of nursing workforce call for a revised version of nurses’ workplace social capital. Method Walker and Avant's approach was implemented. Data were compiled from ‘Medline’ and ‘CINAHL’, ‘Google’ search engine, book chapters and expertise of nursing academicians. Results Nurses’ workplace social capital is a relational network that is configured by interactions among healthcare professionals. Although, various attributes influence these interactions, Relational Network, Trust, Shared Understanding, Reciprocity and Social Cohesion are considered as the major attributes. A healthy relational network creates a healthy workplace which can be further fortified by effective communication, active group engagements and a supportive leadership. Conclusions Results of our concept analysis should establish a theoretical groundwork for nurse leaders to better build and more effectively lead the contemporary nursing workforce. Implication for Nursing Management Leaders’ dedication to workplace social capital is the tenet of a constructive workplace, which in return can support nurses to flourish in their clinical and the other professional responsibilities.
Background An increasing nursing shortage, high workloads and poor working environments are affecting the quality of nursing care in many countries including Mongolia. Aim To explore the level of quality of nursing care, nursing competency and nursing practice environment, as well as the predictability of nurses’ personal factors, nursing competency and nursing practice environment on quality of nursing care as perceived by nurses in Mongolia. Methods We collected data from 346 registered nurses, randomly selected and working in seven general public tertiary care hospitals in the capital city of Ulaanbaatar, and four regions of Mongolia. Instruments used were the Good Nursing Care Scale, the Competency Inventory for Registered Nurses and the Practice Environment Scale of Nursing Work Index. Data were analysed using descriptive statistics and multiple regression analysis. Results The overall quality of nursing care and nursing competency was perceived to be at a high level, whereas nursing practice environment was at a favourable level. Nursing competency and nursing practice environment were found as significant predictors of nursing care quality, while personal factors were found as non‐significant predictors. Discussion Improving nursing competency and practice environment enhances the quality of nursing care. However, a study limitation is that self‐reporting may not have reflected the accuracy of variables. Conclusion Findings provide important evidence for the use of measures and strategies to enhance the quality of nursing care by improving nursing competency and the nursing practice environment. Implications for nursing and health policy Policymakers, administrators and nurses need to work together to develop and implement policies to enhance and support the competency and practice environments of the Mongolian nurses.
Nurse shortages and nurse attrition are high in many countries, and there is also a dearth of male nurses in the profession. This study aimed to examine the level of intention to stay and ten predictors of this among male nurses in China. A descriptive, predictive study was administered to 480 registered male nurses. Eight research instruments were used to collect data. Descriptive statistics and binary logistic regression were employed to analyze the data. The overall intention to stay in the nursing profession as perceived by male nurses was at a moderate level. Binary logistic regression demonstrated that work group cohesion, transformational leadership, career growth, and job satisfaction were significant predictors, explaining 32.2% of the total variance for intention to stay. The findings of this study provide suggestions for nursing administrators and policymakers to develop appropriate strategies or interventions to increase the intention to stay for male nurses to stay in the profession, based on the four predictors.
The present study explored nurses' and patients' expectations of nursing service quality, their perception of performance of nursing service quality performed by nurses, and compared nursing service quality, as perceived by nurses and patients. The sample consisted of 162 nurses and 383 patients from 11 inpatient wards/units in a tertiary care hospital in the Maldives. Data were collected using the Service Quality scale, and analyzed using descriptive statistics and the Mann-Whitney U-test. The results indicated that the highest expected dimension and perceived dimension for nursing service quality was Reliability. The Responsiveness dimension was the least expected dimension and the lowest performing dimension for nursing service quality as perceived by nurses and patients. There was a statistically significant difference between nursing service quality perceived by nurses and patients. The study results could be used by nurse administrators to develop strategies for improving nursing service quality so that nursing service delivery process can be formulated in such a way as to reduce differences of perception between nurses and patients regarding nursing service quality.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.