Objective To design a data management solution based on geographic information system for health service units to deal with health resources of subordinate medical institutions.Methods The whole solution was developed with layer logic function of data service, application and presentation. Storage, transformation and relationship of both spatial data and health service data were totally managed by relational database.Results The system was able to import, export, maintain, sum, query and analyze geography spatial information and health service information.Conclusion A new method is provided to improve capability of health support and health service management efficiency.

Objective:To determine the blood level of homocysteine （Hcy） and its influencing factors among Shanghai rural residents with high risk of stroke and to verify if hyperhomocysteinemia （HHcy） is a main biomarker of stroke. Methods:With a clustered random sampling method， questionnaire survey and physical examination were conducted among 4 073 rural residents， aged 55 years and above， in Luojing community， Shanghai， in 2018. A total of 470 residents were at high-risk for stroke based on screening of plasma Hcy and other blood indicators. Multivariate logistic regression method was performed for data analysis. Results:The overall level of Hcy was （18.92±6.37）μmol/L， with （20.40±5.89）μmol/L for men and （17.87±2.12）μmol/L for women （t=5.431，P<0.001）. HHcy was detected in 78.94%（371/470） of the participants， in which 85.77%（235/274） were men and 69.39%（136/196） were women （χ²=12.400，P=0.001）. In the high-risk male group， subjects with smoking history， overweight or obesity， exercise frequency <1 h/d， and hypertension has a higher detection rate of HHcy than those without smoking history， normal body mass index， exercise frequency ≥1 h/d and without hypertension （χ²=11.340，8.170，8.200， and 12.400， respectively， all P<0.01）. However， there was no significant difference in HHcy detection rate in different age groups and between the patients with or without diabetes， and dyslipidemia（χ²=3.120，2.311， and 0.984， respectively， all P>0.05）. In the high-risk women group， HHcy detection rate increased with age （χ²=13.874，P<0.01）， and it was higher in participants with overweight or obesity， exercise frequency < 1 h/d， hypertension， and dyslipidemia（χ²=10.278， 13.840， 14.100， and 12.330， respectively， all P<0.01）. Unconditional logistic regression analysis showed that the factors affecting HHcy in the high-risk population of stroke include being male， smoking， hypertension， overweight and obesity. Conclusion:Screening of high-risk populations for stroke should include blood level of Hcy.