[Healthcare-Associated Infection Control with Awareness of Patient Safety].

In order to provide safe and secure medical care for patients, health care-associated infections (HAI) must not occur. HAI should be considered as incidents, and countermeasures should be viewed as a patient safety management itself. Healthcare-associated infection control (HAIC) is practiced by the infection control team (ICT), which is based on multidisciplinary cooperation. Team members have to recognize that it is the most important to make use of the expertise of each discipline. In addition, all members must try to respond quickly, to help the clinic staff. Visualized rapid information provision and sharing, environmental improvement, outbreak factor analysis, hand hygiene compliance rate improvement, proper antibiotic use (Antimicrobial Stewardship Program: ASP), and regional cooperation & leadership comprise the role of the ICT in the flagship hospital. Regarding this role, we present our hospital's efforts and the outcomes. In conclusion, for medical practice quality improvement, healthcare-associated infection control should be conducted thoroughly along with an awareness of patient safety.

Nutritional screening with Subjective Global Assessment predicts hospital stay in patients with digestive diseases.

OBJECTIVE: Nutritional status is an important factor that determines hospital stay, and the Subjective Global Assessment (SGA) is a candidate tool for nutritional screening on admission. However, the significance of the SGA has not been evaluated well in the ward for digestive diseases. We conducted the present study to test whether the SGA predicts hospital stay of these patients. METHODS: Two hundred sixty-two patients with digestive diseases were consecutively enrolled between July 2004 and April 2005. They consisted of 145 males and 117 females and included 110 patients with cancer. Disease category was gastrointestinal in 94, hepatic in 111, and biliary/pancreatic in 57. The SGA was performed by a certified dietician. Effects of SGA and other nutritional parameters on hospital stay were examined by simple and multiple regression analysis. RESULTS: Among tested variables, simple regression analysis identified the SGA, disease category, presence of malignancy, serum albumin level, percent triceps skinfold thickness, and percent arm muscle circumference as significant predictive parameters for hospital stay. Multiple regression analysis revealed that the SGA had the best predictive power, followed by the presence of malignancy and disease category. CONCLUSION: The SGA is a simple and reliable predictor for hospital stay in patients with digestive diseases.