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The utility of administrative data for surveillance of children with chronic high risk medical conditions (CHRMC) that places them at risk for influenza related complications.

机译:管理数据用于监视患有慢性高危医疗状况(CHRMC)的儿童的风险,这些儿童使他们有患流感相关并发症的风险。

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摘要

Background. Children with chronic high risks medical conditions (CHRMC) are more likely to develop severe influenza-related complications than those without CHRMC. As a result, prevention and control policies continue to target these risk groups. However, identifying these risk groups remains a challenge. Healthcare administrative data (HAD) have the potential to provide population-based data on children with CHRMC. However, there is lack of studies that have examined comprehensively the utility of HAD for this purpose.;Methods. A retrospective cohort design was used. Two birth cohorts of children born in Alberta during fiscal years 1984/85 (n=41171) and 1994/95 (n=39864) were followed from birth to a maximum of eight years. CHRMC visits were identified from physicians' claims by using ICD-9 codes. A child was classified as having CHRMC using either of the two criteria: criterion A: primary care (≥ 1 paediatrician or ≥ 2 family physician visits only) or consultant (≥ 1 paediatrician and ≥ 2 family physician visits) or ≥ 2 emergency room visits or ≥ 1 hospitalization; criterion B: two or more of the components of criterion A. The validity of the case definition was determined by: (a) determining the positive predictive value (PPV) in terms of the proportion of children with CHRMC who made ≥ 1 subsequent visits post-classification (i.e. evidence of continued healthcare use post-classification); (b) examining the consistency of epidemiological patterns of children with CHRMC between the two cohorts, case definitions and previous studies. The correlates of incidence and prevalence were determined through multivariate regression models.;Results. Both case definitions had the highest PPV when children were followed continuously for at least two years post-classification. The maximum PPV of criterion A for identifying children with CHRMC was 88.7%, while that of Criterion B was 94.6%. Although there were differences in the prevalence and incidence rates between the two cohorts, there was consistency in the epidemiological pattern of CHRMC as follows: males had higher CHRMC incidence and prevalence rates than females; First Nations had the highest CHRMC prevalence and incidence rates; children in rural areas had the highest CHRMC prevalence and incidence rates.;Conclusions. HAD can be used to identify children with CHRMC. The consistency of results between the two cohorts coupled with case definitions with high PPV, provide preliminary evidence that the approach used is valid. These findings are relevant to those who need a practical way to identify target groups for influenza vaccination.;Objectives. (a) To develop a population based method for using HAD to identify children with CHRMC and (b) to determine the correlates of CHRMC incidence and prevalence.
机译:背景。与没有CHRMC的儿童相比,患有慢性高风险医疗条件(CHRMC)的儿童更容易出现与流感相关的严重并发症。结果,预防和控制政策继续针对这些风险组。但是,确定这些风险组仍然是一个挑战。医疗保健管理数据(HAD)有潜力提供基于人群的CHRMC儿童数据。但是,缺乏针对HAD的用途进行全面检查的研究。方法。使用回顾性队列设计。从1984-85财政年度(n = 41171)和1994/95财政年度(n = 39864)在阿尔伯塔省出生的两个孩子的出生队列一直追踪到八岁以下。通过使用ICD-9代码从医生的要求中识别出CHRMC就诊。使用以下两个标准之一将儿童归类为CHRMC:标准A:初级保健(仅≥1名儿科医生或≥2位家庭医生就诊)或顾问(≥1位儿科医生和≥2位家庭医生就诊)或≥2次急诊室就诊或≥1次住院;标准B:标准A的两个或多个组成部分。通过以下方式确定病例定义的有效性:(a)确定CHRMC儿童中≥1次随后就诊的儿童的阳性预测值(PPV)分类(即分类后继续使用医疗保健的证据); (b)检查两个队列,病例定义和既往研究之间的CHRMC儿童流行病学模式的一致性。通过多元回归模型确定发病率与患病率的相关性。当在分类后至少连续两年跟踪儿童时,两种病例定义的PPV最高。识别儿童CHRMC的标准A的最大PPV为88.7%,而标准B的最大PPV为94.6%。尽管两个队列的患病率和发病率存在差异,但CHRMC的流行病学模式具有如下一致性:男性的CHRMC发病率和患病率高于女性;原住民的CHRMC患病率和发病率最高;农村地区儿童的CHRMC患病率和发病率最高。 HAD可用于识别CHRMC儿童。两个队列之间结果的一致性以及PPV高的病例定义,提供了使用该方法有效的初步证据。这些发现与那些需要以实际方式确定流感疫苗接种目标人群的人有关。 (a)开发一种基于人群的方法,用于使用HAD识别患有CHRMC的儿童,以及(b)确定CHRMC发病率与患病率之间的相关性。

著录项

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Public health.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 202 p.
  • 总页数 202
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:39:13

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