Objective : To learn the preference and determinants for institute-based care of the elderly in Zhejiang Province. Methods : By multi-stage sampling and convenient sampling methods,three communities and three villages from Hangzhou,Jinhua and Yongkang as investigation spots,respondents who aged 60 years or above and lived for one year or more were selected for a questionnaire survey to learn their preference for institute-based care. Logistic regression analysis was used to explore the influencing factors for preference of institute-based care among the elderly. Results : A total of 390 valid questionnaires were collected,accounting for 91.76%. Among them,there were 219 men and 171 women, accounting for 56.15% and 43.85; 155 old people chose institute-based care,accounting for 39.74%. The results of multivariate logistic regression analysis illustrated that the elderly who had three children or more had less preference for institute-based care（OR=0.072,95%CI：0.007-0.742）;the elderly who lived with spouse（OR=0.395,95%CI：0.188-0.833）,with children（OR=0.323,95%CI：0.132-0.791）,with spouse and children（OR=0.305,95%CI：0.139-0.673）,compared with the elderly who lived alone,had less preference for institute-based care;the elderly who lived in rural areas,compard with the elderly who lived in urban areas had less preference for institute-based care（OR=0.404,95%CI：0.224-0.730）;the elderly without chronic diseases had less preference for institute-based care（OR=0.485,95%CI：0.292-0.805）. Conclusion Having three or more children,living with spouse,living with children,living with spouse and children,living in rural areas and living without chronic diseases are determinants for choosing institute-based care among the elderly.

Objective To establish an HPLC method for simultaneous determination of Quercetin , Luteolin, pigenin in Matricaria Chamomila L.. Methods HPLC analysis was performed on Agilent Zorbox SB-C18 column (4.6 mm×250 mm, 5 μm) with the methanol and phosphoric acid as mobile phase in equal degree model, and the column temperature was set at 25 ℃, and the flow rate was 1.0 ml.min-1 and the detecting wave length was at 350 nm. Results The linear response ranges were from 0.25-4.04 μg of Quercetin (r=1.000, n=6) and from 0.25-3.98 μg of Luteolin (r=1.000, n=6) and 0.25-4.02 μg of Apigenin (r=1.000, n=6);and the recoveries, the precision and the stability RSD of Quercetin, Luteolin and Apigenin meet the requirements. The average recovery rate of quercetin, luteolin and apigenin was 93.64%, 95.85% and 95.40%, respectively. Conclusions All 3 samples in Matricaria Chamomila.L were determined by HPLC. The method is simple, rapid, and reproducible. It can be used as reference for the quality control of Matricaria Chamomila L..

OBJECTIVE： To construct a collaborative relationship model between clinical pharmacists and physicians which is suitable for medical situations in China， and to provide guidance and reference for the relevant research. METHODS： Guided by theories relating to collaborative relationship， combined with the existing collaborative theories and practices of collaboration between pharmacists and physicians， the model was constructed through model synthesis， and was revised and improved on the basis of expert interview. Finally， the theory of the model was constructed. RESULTS： The collaborative relationship model of clinical pharmacists and physicians in China （CPPCR） was built， which was composed of five collaborative levels and three types of collaborative factors. Five collaborative levels included collaborative demand germination period， collaborative value identification period， collaborative relationship bonding period， collaborative mode strengthening period and collaborative relationship establishment period， while three types of collaborative factors included individual characteristics， work environment characteristics and interactive characteristics of clinical pharmacists and physicians. CONCLUSIONS： CPPCR is helpful to provide reference and basis for promoting their collaborative relationship and the development of related research.

Cerebral microbleeds (CMBs) is a imaging manifestation of cerebral small vessel disease. At present, more and more opinions believe that vascular endothelial injury plays an important role in the pathogenesis of CMBs. The destruction of the blood-brain barrier and inflammatory response caused by vascular endothelial dysfunction may promote the occurrence and development of CMBs. At the same time, the deposition of hemosiderin around the lesion of CMBs may also trigger an inflammatory response. However, the relevant mechanisms and causality have not yet been fully elucidated. This article reviews the vascular endothelial inflammatory factors related to CMBs and their mechanism in the pathogenesis of CMBs.