首页> 外文期刊>Australian and New Zealand journal of public health. >Estimating chronic disease prevalence among the remote Aboriginal population of the Northern Territory using multiple data sources.
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Estimating chronic disease prevalence among the remote Aboriginal population of the Northern Territory using multiple data sources.

机译:使用多个数据源估算北部地区偏远原住民的慢性病患病率。

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摘要

OBJECTIVE: To determine the prevalence rates of hypertension, diabetes, ischaemic heart disease (IHD), renal disease and chronic obstructive pulmonary disease (COPD), and their co-occurrence among the remote Aboriginal population of the Northern Territory (NT) in 2005. METHODS: Information from a primary care chronic disease register (CDR) and hospital inpatient database were linked to a population list by using a unique patient identifier. A capture-recapture method (CRM) and multivariate log-linear models were then applied to analyse the multiple datasets to estimate the prevalence rates for the selected diseases and case ascertainment in each data source. RESULTS: The NT remote Aboriginal communities had considerably higher prevalence rates across all five chronic diseases than national health survey figures. At ages 50 years and over, the prevalence rates for hypertension and renal disease were above 50%, diabetes 40%, COPD 30% and IHD above 20%. In terms of data completeness, CDR and hospital sources were both relatively incomplete, generally around 20-60%. The most common co-occurrences for the five chronic diseases were between hypertension, diabetes, IHD and renal disease. CONCLUSIONS AND IMPLICATIONS: The prevalence rates calculated using this method are comparable to estimates from rigorous small area studies, but are markedly higher than those from single clinical data sources. The results indicate that there is a considerable under-diagnosis of preventable chronic diseases in the Aboriginal communities.
机译:目的:确定2005年北领地偏远原住民中高血压,糖尿病,缺血性心脏病(IHD),肾病和慢性阻塞性肺病(COPD)的患病率及其共存情况。方法:通过使用唯一的患者标识符,将来自初级保健慢性病登记系统(CDR)和医院住院患者数据库的信息链接到人群列表。然后使用捕获-捕获方法(CRM)和多元对数线性模型来分析多个数据集,以估计每个数据源中所选疾病的流行率和病例确定性。结果:北领地偏远土著社区在所有五种慢性病中的患病率均高于全国健康调查的数字。在50岁以上的年龄段,高血压和肾脏疾病的患病率高于50%,糖尿病40%,COPD 30%和IHD高于20%。在数据完整性方面,CDR和医院资源均相对不完整,通常约为20-60%。五种慢性疾病最常见的并发是在高血压,糖尿病,IHD和肾脏疾病之间。结论和意义:使用这种方法计算的患病率与严格的小面积研究的估计值相当,但明显高于单一临床数据来源的估计值。结果表明,在原住民社区中,可预防的慢性病有相当少的诊断。

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