Factors forecasting the relationship with respect to the organization of the nursing staff at Songklanagarind Hospital
Abstract
Objectives: 1) To study the level of the relationship with respect to the organization of the Division of nursing staff and Songklanagarind Hospital; and 2) To study factors that impact on the relationship with the organization of nursing staff at Songklanagarind Hospital.
Methods: The factors studied were: personal, motivational and working factors. The resources for the research were all nurses working in Songklanagarind Hospital and assistant nurses who have worked in the hospital for at least six months. The total population size was 999 nursing personnel of which 286 were selected for the research by systematic random sampling. Questionnaires were used to gather the data which was analysed descriptively. The data were processed using Stepwise Multiple Regression Analysis, and Pearson Product Moment Correlation Coefficient was used to forecast the relationship between the organization of Division of nursing staff at Songklanagarind Hospital. Statistical analysis was by percentage, average and standard deviation for hypothesis testing of the relationship between factors that impacted on the relationship with the organization of nurses and assistant nurses.
Results: Stepwise Multiple Regression Analysis found that: 1) Age was positively correlated with the period of time they had worked: (P < 0.01). 2) Future Orientation had a negative correlation to working factors (P < 0.01). 3) Attitude to organization had a positive correlation with working factors and relationship to organization (P < 0.01). 4) Working factors were positively correlated with the relationship with the organization (P < 0.01). 5) For the forecast of the relationship with the organization of the Division of nursing service's staff and Songklanagarind Hospital it was found that the variable that could be used for forecasting was their attitude to the organization, which had a Multiple Correlation Coefficient (R) of 0. (P < 0.01) and Stepwise Multiple Regression (R) was 0.113.
Conclusion: From this research, it is apparent that only those that are between 23 and 31 years old and who have been employed for at least five years should be studied because this group has high future expectations giving a good forecast for the causes of why they work longer. This group is the most important resource, based on administrative principles especially those who work and give extensive benefits to the organization. Those who are older than 32 years and have more than 10 years work experience need to be further studied for ways to promote them.
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