The purpose of this study was to construct and test a structural equation model on nursing work outcomes based on Youssef and Luthans’ positive psychological capital and integrated conceptual framework of work performance.

This study used a structured questionnaire administered to 340 nurses. Data were analyzed using structural equation modeling.

Positive psychological capital showed indirect and direct effects on job satisfaction, retention intention, organizational citizenship behavior, and nursing performance. While, the nursing work environment had direct and indirect effects on job satisfaction and nursing performance, it only had indirect effects on intention to work and organizational citizenship behavior. Additionally, a mediating effect on retention intention and organizational citizenship behavior was found between job satisfaction and nursing performance variables.

The nursing organization needs to build a supportive work environment and reinforce positive psychological capital to improve nursing performance. Additionally, it needs to actively manage the necessary parameters involved in the stages of job satisfaction, retention intention, nursing performance, and organizational citizenship behavior of nurses. The findings propose the continuous management of nursing personnel based on nurses’ attitude outcome, behavioral intention, behavioral outcome, and stage of role performance.

The purpose of this study was to develop an instrument of task performance evaluation for clinical nurses, thus testing the validity and the reliability of the scale.

Data was collected from 84 Head Nurses and 255 General Nurses. A conceptual framework, composed of 4 factors of meaning in task performance evaluation, was identified through review of the relevant literature. A total of 78 items were developed and were used on a five-point likert scale. Through factor analysis, items whose factor loading was below 0.50 were deleted, thus 35 items remained. To test the validity and reliability of the instrument, the SPSS 11.0 windows program was used.

The results of the factor analysis indicated that 4 factors were classified and the cumulative percent of variance was 67.54%. The results of the reliability test indicated that Cronbach's coefficient of the total 35 items was over 0.9176. The results of the factor analysis indicated that factor loadings of all items was over 0.50. Conclusively, the validity and the reliability of the scale were proven.

This study was identified as a tool with a high degree of reliability and validity.

The purpose of this study was to examine correlations between nurses' self-leadership and individual work role performance and correlations between self-leadership in nursing units and team members' work role performance.

Participants were 202 conveniently selected general nurses from 5 general hospitals in Korea. The study was carried out on 35 nursing units. Data were collected during February 2015 with self-report questionnaires.

For factors affecting individual work role performance, self-expectation, self-goal setting, constructive thought, clinical career in the present nursing unit and marital status accounted for 44.0% of proficiency, while self-expectation, self-goal setting, constructive thought, and marital status accounted for 42.3% of adaptivity. Self-expectation, self-goal setting, constructive thought, self-reward, clinical career in the present nursing unit and position accounted for 26.4% of proactivity. In terms of team members' work role performance, self-reward and self-expectation in nursing units explained 29.0% of team members' proficiency. Self-reward and self-expectation in nursing units explained 31.6% of team members' adaptivity, and self-reward in nursing units explained 16.8% of team members' proactivity.

The results confirm that nurses' self-leadership affects not only individual self-leadership but also team members' work role performance. Accordingly, to improve nurses' work role performance in nursing units of nursing organizations, improvement in nursing environment based on self-leadership education is necessary and nurses' tasks rearranged so they can appreciate work-autonomy and challenges of work.

The purpose of this study was to examine the current status of home care nursing services provided by community health nurses and to identify barriers to the services.

A cross-sectional survey was conducted with three types of community health care nurses. Participants were 257 nurses, 46 of whom were hospital based home care nurses, 176 were community based visiting nurses, and 35 were long term care insurance based visiting nurses. A structured questionnaire on 7 domains of home care nursing services with a 4-point Likert scale was used to measure activities and barriers to care. Data were analyzed using SPSS WIN 21.0 program.

Hospital based home care nurses showed a high level of service performance activity in the domain of clinical laboratory tests, medications and injections, therapeutic nursing, and education. Community based visiting nurses had a high level of service performance in the reference domain. Long term care insurance based visiting nurses showed a high level of performance in the service domains of fundamental nursing and counseling.

The results show that although health care service provided by the three types of community health nurse overlapped, the focus of the service is differentiated. Therefore, these results suggest that existing home care services will need to be utilized efficiently in the development of a new nursing care service for patients living in the community after hospital discharge.

This study was conducted to develop key performance indicators (KPIs) for home care nursing (HCN) based on a balanced scorecard, and to construct a performance prediction model of strategic objectives using the Bayesian Belief Network (BBN).

This methodological study included four steps: establishment of KPIs, performance prediction modeling, development of a performance prediction model using BBN, and simulation of a suggested nursing management strategy. An HCN expert group and a staff group participated. The content validity index was analyzed using STATA 13.0, and BBN was analyzed using HUGIN 8.0.

We generated a list of KPIs composed of 4 perspectives, 10 strategic objectives, and 31 KPIs. In the validity test of the performance prediction model, the factor with the greatest variance for increasing profit was maximum cost reduction of HCN services. The factor with the smallest variance for increasing profit was a minimum image improvement for HCN. During sensitivity analysis, the probability of the expert group did not affect the sensitivity. Furthermore, simulation of a 10% image improvement predicted the most effective way to increase profit.

KPIs of HCN can estimate financial and non-financial performance. The performance prediction model for HCN will be useful to improve performance.