[The multi-level Meta analysis model combining individual level data with aggregative level data].

OBJECTIVE: To explore the multi-level Meta analysis model combining individual level data with aggregative level data and its application in medicine. METHODS: The difference in respect to "decreased hemoglobin A(1c)" between treatment with roglizatone and treatment without roglizatone was obtained by combining individual level data from clinical trial of roglizatone natrium with aggregative level data from literatures. This endeavor was regarded as an example to construct the multi-level Meta analysis model combining individual level data with aggregative level data. RESULTS: The baseline hemoglobin A(1c) was 9% and the dose of drug was 4 mg per day. The average difference in "decreased hemoglobin A(1c)" between treatment with and without roglizatone was 0. 464%, with a 95% CI from 0.168% to 0.760%. CONCLUSION: In case that individual data are available, the multi-level Meta analysis model combining individual level data with aggregative level data can utilize the data resources adequately and the results obtained should be more accurate.

[A Markov model to access long-term effects of rosiglitazone natrium on the treatment of type 2 diabetes].

OBJECTIVE: The aim of this study was to estimate the long-term treatment effects of Rosiglitazone-natrium in type 2 diabetes. METHODS: A Markov decision model was developed to predict, over 10 years, mortality with or without Rosiglitazone-natrium treatment. RESULTS: During 10 years research, 14.2% patients developed to complications of type 2 diabetes mellitus, 3.8% patients should be dead in Rosiglitazone-natrium treatment group. 22.7% patients developed to complications of type 2 diabetes, 6.6% patients should be dead in non-Rosiglitazone-natrium treatment group. CONCLUSION: Markov decision model should be useful in accessing the long-term effects of drug treatment. Evidence on long-term benefit of Rosiglitazone-natrium could be of importance for future decision making.

[A study of multi-factors on the utilization of dental services in Chinese residents].

PURPOSE: In this article, multi-factors on the utilization of dental services was assessed in Chinese residents by Logistic regression model. METHODS: A household oral health interview survey was conducted among Chinese residents. A study of multi-factors on the utilization of dental services in Chinese residents was analyzed by Logistic regression model. RESULTS: The data 1558 residents in 587 houses had been collected from 6 sampling spots by the household oral health interview survey. Significant difference was found in three hypothesis test of Logistic regression model over 15 year old of residents. CONCLUSIONS: The utilization of dental services was decided by multi-factors in Chinese residents. The main factors to influence residents visiting dentist were dental price, living area and dental caries.

[Analysis on the relative factors of trichomonal vaginitis in married childbearing age women in rural impoverished area].

OBJECTIVE: To investigate the status and relative factors of trichomonal vaginitis among married childbearing age women in rural impoverished area of the northwestern part of China and hence identify the risk factors and provide a basis for the prevention and treatment of trichomonal vaginitis. METHODS: Questionnaire investigation, gynecological and laboratory examination were carried out in 480 women who had been selected by multi-stage cluster sampling in rural impoverished area of Bao Ji in ShannXi province. A case-control study was conducted to analyze the relative factors of trichomonal vaginitis and other reproductive tract infection (RTI) complications. RESULTS: The prevalence rate of trichomonal vaginitis was 12.9%, and 64.5% of the cases were complicated with chronic cervicitis, 17.7% were complicated with adnexitis. Uni-variated and multi-variated logistic regression analyses revealed that lack of reproductive health knowledge, bath with polluted water, washing vulva or penis with polluted water before sexual intercourse, having intercourse during menstrual period, having past history of trichomonal vaginitis, as well as no-income woman's and husband's negative attitude towards wife's RTIs were risk factors of trichomonal vaginitis and complicating chronic cervicitis or adnexitis. And lack of reproductive health knowledge, bath with polluted water, washing penis with polluted water before sexual intercourse, past history of trichomonal vaginitis, husband's negative attitude to wife's RTIs were relative factors of trichomonal vaginitis and complicating chronic cervicitis or adnexitis revealed by the binary logistic regression analysis. The less score of reproductive health knowledge, the more risk of suffering from trichomonal vaginitis complicating chronic cervicitis. CONCLUSION: Compositive and successive prevention and treatment scheme should be used to control trichomonal vaginitis and other RTI complications in rural impoverished area of northwestern China. The scheme should be focused on four ways, including improving sanitation behaviors in couples, insisting on normative treatment, generalizing reproductive health knowledge and mobilizing husbands to pay attention.

[Designing dental manpower index to evaluate dental manpower resources].

OBJECTIVE: The purpose of this investigation is to find out a method to evaluate dental manpower resources. METHODS: We selected population, GDP, number of dentist and number of different oral health professionals from certain internet stations, published books and journals from 1996 to 2000 as our investigating data. RESULTS: Data was collected from 100 countries. Our investigation found that the design of dental manpower index to evaluate dental manpower resources was effective and convenient. CONCLUSION: Dental manpower index is a good method to evaluate dental manpower resources.