Access to Information ; China ; Humans ; Information Centers ; organization & administration ; Information Management ; organization & administration ; Management Information Systems ; standards ; Severe Acute Respiratory Syndrome ; diagnosis ; therapy

Information Services ; Information Systems ; standards ; Public Health ; statistics & numerical data ; Public Health Informatics

OBJECTIVETo improve data unified descriptions, identification, query and management in public health service by means of establishing public health information classification framework and coding system.

METHODSData sets created from all fields in public health, scientific research, health management were classified into four layers of frameworks primary class, sub-class, main class and subject areas by means of integration of vertical with horizontal classifications. All these classes were further abstracted, merged and coded by individual characteristics in public health systems.

RESULTS(1) 4 subject areas in diseases control and prevention, public health service, public health management and sanitation surveillance were established including a total of 18 main classes, 49 sub-classes and 205 primary classes. (2) 7 digits and 4 segments (area code, code, disease classification code) were designed including a total of 30 digits multi-classification codes. The purpose of data effectively classifying and coding by application of 50 basic data sets in 9 areas fo public health has been realized.

CONCLUSIONWe believe that this method is of efficiency in data classification and code for public health information communication.

Healthcare Common Procedure Coding System ; Public Health Informatics ; classification ; statistics & numerical data

0.37).Meanwhile a good correlation (Y=0.99X-0.18,r=0.987) was obtained. Though Westergren method correlated preferably with MICROTEST 1 (Y=0.86X+1.27,r=0.906),there was a markedly different (t=3.174,P=0.001).At last different references values were collected, according to sex and age.Male,32.5 mm/1 h(60 years old);Female, 34.03 mm/1 h(50 years old).Conclusions MICROTEST 1 correlated preferably with Westergren method.The examination by MICROTEST 1 needs small quantity of sample and fewer time.Furthermore,it has good repeatability and stability.The factors such as temperature and Hct have little influence on the results.The result suggested that it is suitable to apply MICROTEST 1 to large- scale clinical laboratory or other labs.But the reference value of ESR was influenced by age,which should be considered in clinical usage.

OBJECTIVETo identify and generalize classes of public health laboratory detection activities and to discuss the method of identification and generalization of classes of Public Health Conceptual Information Model.

METHODSAt first, materials should be collected from consulting literatures and experts, referring to the existing system. Then, identification and generalization of classes are got for business process analysis, writing description documents, summing up important conceptions and activities, By use-case analysis, use-case diagram and tabulation of important conception and activities and reference to PHCDM, a structural diagram of classes is constructed.

RESULTSA structure diagram of classes of public health laboratory detection activity is given.

CONCLUSIONSThis is a feasible method in identification and generalization of classes of public health laboratory detection activities.

Laboratories ; classification ; Models, Organizational ; Public Health

The study investigated the burden of smear-positive pulmonary TB and its infectivity, using DALY (Disability-Adjusted Life Year) as an indicator. An assumed cohort of 2000 cases was set up based on the age-specific incidence of 794 newly registered smear positive cases of TB in Beijing in 1994. Prognostic trees and model diagrams of infectivity under natural history and DOTS (Direct Observed Treatment, Short-course) strategy were established according to the epidemiological evidence. The results show that 29.6% of DALYs would be neglected if the burden caused by the infectivity was not considered. The results also show that DOTS strategy may reduce 97.3% of the number of potential cases infected, 92.9% of DALYs related to TB-patients themselves, and 99.9% of DALYs caused by TB's infectivity as well.

The cost-effectiveness of DOTS (Directly Observed Treatment, short course) and non-DOTS strategies for smear-positive pulmonary tuberculosis in Beijing was evaluated. Cost calculation was based on the expenses of drugs, chest X-ray films, sputum smears and cultures for the patients. Effectiveness of the intervention was assessed in two aspects: direct benefits to the patients treated and indirect benefits to the others through reduced transmission of tuberculosis; disability adjusted life of year (DALY) was used as an index. The results showed that one DALY could be saved with 45.7 Yuan by DOTS and 471.4 Yuan by non-DOTS. DOTS is a good control strategy for smear-positive tuberculosis.

OBJECTIVETo overview the contribution of diabetes in the burden of diseases.

METHODSBased on the data published by MOH, prevalence rate, mortality rate, cause eliminated life year were used to calculate the health burden of disease. Meanwhile, direct economic burden of diseases was presented.

RESULTSAccording the calculation, about 23 million of people suffered from diabetes and 90,000 died from diabetes. The cause eliminated life year attributed to diabetes is different between urban and rural, 0.21 years for urban and 0.08 years for rural. Moreover, the direct economic burden reached 1.071 billion RMB, about 1.88% of national health expenditure at the same period.

CONCLUSIONThe burden of diabetes, based on calculation of both health and economic burden, and will give a heavy pressure to the government and society.

China ; epidemiology ; Cost of Illness ; Diabetes Mellitus ; economics ; mortality ; Humans ; Prevalence ; Rural Population ; statistics & numerical data ; Survival Rate ; Urban Population ; statistics & numerical data ; Vital Statistics

Since May 8th, Beijing's severe acute respiratory syndrome (SARS) epidemic is on a continuous decline. Indicating and verifying measures taken since the end of April to be effective. Three stages of SARS have been distinguished in Beijing since late April, they are described in this article as rapid growth stage beginning late April until early May, decline and stable stage throughout the first week of May, and rapid decline stage since May 9th until present. These three stages depict the effectiveness of interventive measures against SARS in Beijing since late April. Information transparency towards the public is an import part among all measures taken, enhancing public awareness and understanding of the current situation and government action as well as introduce public action. Public awareness is an important factor, forming active support for government interventions.
China ; epidemiology ; Female ; Humans ; Incidence ; Information Dissemination ; Male ; Severe Acute Respiratory Syndrome ; epidemiology ; prevention & control

OBJECTIVETo indicate the deficiency of the classical method for analyzing data on individual matching case-control study in consideration of the interaction between the study factor (exposure) and the matching factor, and to find out a proper method for handling this deficiency.

METHODFirst, experimental data with 50 pairs of cases and controls were used for strata analysis according to the values of a matching factor to illustrate the possible interaction between a risk factor (exposure) and the matching factor. Second, a detailed procedure was proposed for analyzing such data.

RESULTSInteraction between the study factor and matching factor was demonstrated by using strata analysis and unconditional logistic regression analysis. Therefore the results from the classical analysis for such data might be incorrect.

CONCLUSIONData from individual matching case-control study design should be dealt with strata analysis or multivariate analysis to explore and evaluate the possible interaction between the study factor and matching factor. The conclusion would be valid only after such analysis is conducted.

Case-Control Studies ; Confounding Factors (Epidemiology) ; Matched-Pair Analysis ; Outcome Assessment (Health Care) ; Regression Analysis ; Risk Factors