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Geographical information system (GIS) as a new tool to evaluate epidemiology based on spatial analysis and clinical outcomes in acromegaly

机译:地理信息系统(GIS)作为基于肢端肥大症的空间分析和临床结果评估流行病学的新工具

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摘要

Geographical information systems (GIS) have emerged as a group of innovative software components useful for projects in epidemiology and planning in Health Care System. This is an original study to investigate environmental and geographical influences on epidemiology of acromegaly in Brazil. We aimed to validate a method to link an acromegaly registry with a GIS mapping program, to describe the spatial distribution of patients, to identify disease clusters and to evaluate if the access to Health Care could influence the outcome of the disease. Clinical data from 112 consecutive patients were collected and home addresses were plotted in the GIS software for spatial analysis. The buffer spatial distribution of patients living in Brasilia showed that 38.1 % lived from 0.33 to 8.66 km, 17.7 % from 8.67 to 18.06 km, 22.2 % from 18.07 to 25.67 km and 22 % from 25.68 to 36.70 km distant to the Reference Medical Center (RMC), and no unexpected clusters were identified. Migration of 26 patients from 11 others cities in different regions of the country was observed. Most of patients (64 %) with adenomas bigger than 25 mm lived more than 20 km away from RMC, but no significant correlation between the distance from patient's home to the RMC and tumor diameter (r = 0.45 p = 0.20) nor for delay in diagnosis (r = 0.43 p = 0.30) was found. The geographical distribution of diagnosed cases did not impact in the latency of diagnosis or tumor size but the recognition of significant migration denotes that improvements in the medical assistance network are needed.
机译:地理信息系统(GIS)已成为一组创新的软件组件,可用于医疗保健系统中的流行病学和计划项目。这是一项调查环境和地理因素对巴西肢端肥大症流行病学影响的原始研究。我们旨在验证一种方法,以将肢端肥大症登记册与GIS制图程序链接起来,以描述患者的空间分布,确定疾病群并评估获得医疗保健服务是否会影响疾病的结果。收集来自112位连续患者的临床数据,并在GIS软件中绘制家庭住址以进行空间分析。居住在巴西利亚的患者的缓冲区空间分布显示,距参考医学中心的距离为0.33至8.66公里,占38.1%;从8.67至18.06公里,占17.7%;从18.07至25.67公里,占22.2%;从25.68至36.70公里,占22%( RMC),并且未发现意外群集。观察到有26名患者从该国其他地区的其他11个城市迁移。大多数腺瘤大于25 mm的患者(64%)距RMC的居住距离超过20 km,但从患者家到RMC的距离与肿瘤直径之间无显着相关性(r = 0.45 p = 0.20),也没有发现延迟。诊断为(r = 0.43 p = 0.30)。诊断病例的地理分布不会影响诊断的潜伏期或肿瘤的大小,但是对明显迁移的认识表明,需要改善医疗救助网络。

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