Objective: To determine the factors affecting the antimicrobial effect of VCM on MRSA.
Study Design: Case series study.
Methods: This study was conducted on pneumonia patients admitted to a university-affiliated hospital between January 2000 and December 2008 and had MRSA in their sputum culture.  From seven days prior to the starting VCM administration through the end of the administration, detailed information such as underlying diseases, VCM serum concentration and quantity of MRSA were recorded.  Logistic regression analysis was carried out on current diseases, trough concentration, surgery experience, and the detection of Gram-negative bacteria to verify the antimicrobial effect of VCM.
Results: The number of subjects investigated this study was 55 subjects.  Multiple logistic regression analysis did not yield any significant factors when carried out using the factors affecting the antimicrobial effect of VCM on MRSA as independent variables.
Conclusions: Multivariable analysis yielded no factors as being significant in affecting the antimicrobial effect of VCM, but did indicate in that patients aged 70 and older, the antimicrobial effect of VCM was poor for MRSA.  This suggests that when pharmacists intervene in antimicrobial treatment for improved effects, it is important to consider not only the serum concentration of VCM, but also the background of the patient.

　　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.

BACKGROUND: Preventing the need for long-term care (LTC) by identifying physical function risk factors are important to decrease the LTC burden. The objective of this study was to investigate whether grip strength and/or walking speed, which are components of the frailty definition, are associated with LTC in community-dwelling older and oldest people. METHODS: The participants were 1098 community-dwelling older and oldest people who had not received LTC at the baseline. The endpoint was receiving LTC after the baseline survey. The independent variables were grip strength and walking speed, and participants were divided into two groups based on these variables. The confounding factors were age, sex, the Japanese version of the Montreal Cognitive Assessment (MoCA-J), hypertension, diabetes mellitus, stroke, joint diseases, living alone, body mass index, and serum albumin. We calculated the hazard ratio of receiving LTC using the Cox proportional hazard model. RESULTS: Among the 1098 participants, 107 (9.7%) newly received LTC during the follow-up. Regarding the physical function, only slow walking speed was significantly correlated with LTC after adjusting for all confounding factors except the MoCA-J score (HR = 1.74, 95% CI = 1.10-2.75, P = .018). However, slow walking speed was still a risk factor for LTC after adjusting for the MoCA-J score and other confounding factors (HR = 1.64, 95% CI = 1.03-2.60, P = .037). CONCLUSIONS The findings from this study may contribute to a better understanding of slow walking speed as a factor related to LTC, which might be a criterion for disability prevention and could serve as an outcome measure for physical function in older people.
Aged ; Aged, 80 and over ; Exercise ; Female ; Humans ; Independent Living ; statistics & numerical data ; Japan ; Long-Term Care ; statistics & numerical data ; Male ; Proportional Hazards Models