Objective: To evaluate the situation for chronic disease management in China, and to seek the method for improving the collaborative management for chronic diseases in community. Methods: We searched literature between January 2008 and November 2013 from the Database, such as China Academic Journal Full-Text Database, and PubMed. The screening was strictly in accordance with the inclusion and exclusion criteria and a summary was made among the selected literature based on a collaboration model. Results: We got 698 articles atfer rough screen and ifnally selected 33. All studies were involved in patient’s self-management support, but only 9 studies mentioned the communication within the team, and 11 showed a clear team division of labor. Conclusion: Chronic disease community management in China displays some disadvantages. It really needs a general service team with clear roles and responsibilities for team members to improve the service ability of team members and provide patients with various forms of self-management services.

OBJECTIVE: To translate the English version of the assessment of chronic illness care (ACIC) to Chinese, to conduct a trial in Hunan province and to develop a Chinese version ACIC. METHODS: According to the WHO rules, we translated the English version of the ACIC to Chinese and took the culture factor into account. Three hundred and ninety persons, who engaged in the work of chronic disease management in primary medical and health services in Hunan province, were enrolled for this study. One hundred and eighty three valid questionnaires were randomly selected. Six methods including discrete tendency method, good-poor analysis, correlation analysis, stepwise regression analysis, Cronbach's alpha coefficient and factor analysis were used for evaluation the questionnaire items. RESULTS: The items in Chinese version ACIC showed as follows: 1) good sensitivity. The standard deviation of each item was more than 2 and the P value from the t test between the good and poor group was less than 0.001; 2) good representation. The correlation coefficients range of each item with the total score and each dimension score was 0.588-0.916; 3) high internal consistency. Cronbach's alpha coefficient for the total scale was 0.975, and for each dimension range was 0.854-0.936; 4) independent. Factor loadings were greater than 0.40 entries, and factor loadings ranged from 0.487-0.798; 5) importance. Stepwise regression analysis α(in)=0.01, α(out)=0.05) showed 34 items were kept in the equation. CONCLUSION Items of Chinese version ACIC retains ACIC 7 dimensions of 34 items in the original English version, which are sensitivity and typical with the internal consistency, independence and importance.
China ; Chronic Disease ; Factor Analysis, Statistical ; Humans ; Language ; Regression Analysis ; Surveys and Questionnaires

BACKGROUND: Use of antidepressant medications has been linked to detrimental impacts on bone mineral density and osteoporosis; however, the cellular basis behind these observations remains poorly understood. The effect does not appear to be homogeneous across the whole class of drugs and may be linked to affinity for the serotonin transporter system. In this study, we hypothesized that antidepressants have a class- and dose-dependent effect on mesenchymal stem cell (MSC) differentiation, which may affect bone metabolism. METHODS: Human MSCs (hMSCs) were committed to differentiate when either adipogenic or osteogenic media was added, supplemented with five increasing concentrations of amitriptyline (0.001–10 µM), venlafaxine (0.01–25 µM), or fluoxetine (0.001–10 µM). Alizarin red staining (mineralization), alkaline phosphatase (osteoblastogenesis), and oil red O (adipogenesis) assays were performed at timed intervals. In addition, cell viability was assessed using a MTT. RESULTS: We found that fluoxetine had a significant inhibitory effect on mineralization. Furthermore, adipogenic differentiation of hMSC was affected by the addition of amitriptyline, venlafaxine, and fluoxetine to the media. Finally, none of the tested medications significantly affected cell survival. CONCLUSIONS: This study showed a divergent effect of three antidepressants on hMSC differentiation, which appears to be independent of class and dose. As fluoxetine and amitriptyline, but not venlafaxine, affected both osteoblastogenesis and adipogenesis, this inhibitory effect could be associated to the high affinity of fluoxetine to the serotonin transporter system.
Adipogenesis ; Alkaline Phosphatase ; Amitriptyline ; Antidepressive Agents ; Bone Density ; Cell Survival ; Fluoxetine ; Humans ; Mesenchymal Stromal Cells ; Metabolism ; Miners ; Osteoblasts ; Osteoporosis ; Serotonin Plasma Membrane Transport Proteins ; Venlafaxine Hydrochloride