In the guidance of technical aspects in the “new nursing staff training guidelines” prepared by the Ministry of Health, Labor and Welfare in December 2009, We were using an e-learning method. We evaluated the achievement of nursing technology item 69 and examined the problems to be solved for the future basic nursing technical guidance. The subjects in the present study were 53 persons who joined the of rookie nursing staff of our hospital in April 2013 (new nurses are all fresh from college). Of the goals indicated in the guidelines, nursing technology item 69 was prepared for the group training course using e-learning. The trainees learned with a focus on simulation. After that each department carried out OJT and evaluation. 　　We aggregated achievement evaluations and carried out questionnaire surveys on the use of e-learning in June, September and March of the following year. We compared and examined the evaluations of achievement in comparison with the previous year evaluations. In March 2014 when the new nursing staff training program ended, it was found that those who attained “a measure of reach 1: can” or “2: as possible under the guidance” accounted for 36.5% of the total number of recruits in 2013, compared to 34.9% in 2012. The ratio of those who highly evaluated “a measure of reach 4: have knowledge” remarkably increased from4.5% to23.4%, and that of inexperienced persons or people who did not evaluate decreased from 29.2% to 4.2%. This showed that the self-learning and utilizing e-learning at their own pace proactively helped them to acquire basic nursing skills. However, a problem remained that too much time was required for evaluation, because it has been actually evaluated over 100 fields due to detailed e-learning items, the limited number of desk-top computers.

Five years have passed since the Japan Nursing Association started the Diagnostic Service for Improving Labor and Nursing Quality (DiNQL). We have participated in DiNQL data input support analysis activities since 2013, and the DiNQL Promotion Committee was launched in 2015. Here, we report on the activities of the DiNQL Promotion Committee and evaluate the results of these activities. The DiNQL Promotion Committee's four main activities involve being in charge of the floor at meetings, clarifying the input method aimed at shortening data collection time, supporting analysis of the DiNQL data input, and holding workshops for analysis and utilization. A self-administered questionnaire was administered to 43 ward nursing managers (including section chiefs and managers) to evaluate these committee activities. Both section chiefs and clerical staff responded that DiNQL data input time was shortened by more than 90%. Section chiefs comprised 64% and managers 79% of those who responded that DiNQL data could be utilized for determining annual departmental goals. In total, 71% of managers and 50% of section chiefs responded that DiNQL data is useful for nursing management. Based on these results, we confirmed that setting up the DiNQL Promotion Committee and its activities has led to nursing management support.