Application and validation of case-finding algorithms for identifying individuals with human immunodeficiency virus from administrative data in British Columbia, Canada.

Application and validation of case-finding algorithms for identifying individuals with human immunodeficiency virus from administrative data in British Columbia, Canada.
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DOI:
10.1371/journal.pone.0054416
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
STOP HIV/AIDS Study Group
STOP HIV/AIDS Study Group
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Nosyk B;Colley G;Yip B;Chan K;Heath K;Lima VD;Gilbert M;Hogg RS;Harrigan PR;Montaner JS;STOP HIV/AIDS Study Group

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使用经过验证的病例发现算法,从不列颠哥伦比亚省现有的登记和管理数据集中确定感染人类免疫缺陷病毒(HIV)的人群水平队列。从不列颠哥伦比亚省艾滋病毒/艾滋病卓越中心(CfE)药物治疗方案(抗逆转录病毒治疗)和实验室检测数据集(血浆病毒载量(pVL)和CD4诊断测试结果)、不列颠哥伦比亚省疾病控制中心(CDC)省级艾滋病毒监测数据库(阳性艾滋病毒测试)以及不列颠哥伦比亚省卫生部(MoH)持有的数据库中确定可能纳入队列的个体;出院摘要数据库(住院情况)、医疗服务计划(医生账单)和PharmaNet数据库(额外的艾滋病毒相关药物)。一种经过验证的病例发现算法被用于区分真正的艾滋病毒病例和可能被错误分类的病例。评估算法的敏感性,以每种算法确定的确诊病例(在CfE、CDC和MoH数据库中有记录的病例)的比例为标准。产生并检验先验假设以验证排除的病例。共有25,673人被确定至少有一项与艾滋病毒有关的健康记录。在9454例未确诊病例中,选定的病例发现算法确定了849例被认为是艾滋病毒阳性的个体。该算法对确诊病例的敏感性为88%。被排除在队列之外的患者更有可能是女性(44.4%比22.5%,p<0.01),死亡率更低(2.18 /100人年(100PY)比3.14/100PY;p<0.01),且卫生服务利用率中位数较低(分配药物天数:9745/100PY对10266/100PY, p<0.01;住院天数:29/100PY对98/100PY, p<0.01;医生计费:602/100PY对2056 / 100py, p<0.01)。应用经过验证的病例发现算法和随后的假设检验,为使用管理数据库定义不列颠哥伦比亚省艾滋病毒感染者的人口水平队列提供了强有力的框架。
To define a population-level cohort of individuals infected with the human immunodeficiency virus (HIV) in the province of British Columbia from available registries and administrative datasets using a validated case-finding algorithm. Individuals were identified for possible cohort inclusion from the BC Centre for Excellence in HIV/AIDS (CfE) drug treatment program (antiretroviral therapy) and laboratory testing datasets (plasma viral load (pVL) and CD4 diagnostic test results), the BC Centre for Disease Control (CDC) provincial HIV surveillance database (positive HIV tests), as well as databases held by the BC Ministry of Health (MoH); the Discharge Abstract Database (hospitalizations), the Medical Services Plan (physician billing) and PharmaNet databases (additional HIV-related medications). A validated case-finding algorithm was applied to distinguish true HIV cases from those likely to have been misclassified. The sensitivity of the algorithms was assessed as the proportion of confirmed cases (those with records in the CfE, CDC and MoH databases) positively identified by each algorithm. A priori hypotheses were generated and tested to verify excluded cases. A total of 25,673 individuals were identified as having at least one HIV-related health record. Among 9,454 unconfirmed cases, the selected case-finding algorithm identified 849 individuals believed to be HIV-positive. The sensitivity of this algorithm among confirmed cases was 88%. Those excluded from the cohort were more likely to be female (44.4% vs. 22.5%; p<0.01), had a lower mortality rate (2.18 per 100 person years (100PY) vs. 3.14/100PY; p<0.01), and had lower median rates of health service utilization (days of medications dispensed: 9745/100PY vs. 10266/100PY; p<0.01; days of inpatient care: 29/100PY vs. 98/100PY; p<0.01; physician billings: 602/100PY vs. 2,056/100PY; p<0.01). The application of validated case-finding algorithms and subsequent hypothesis testing provided a strong framework for defining a population-level cohort of HIV infected people in BC using administrative databases.
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发表时间: 2009-04-30
期刊: BMJ (Clinical research ed.)
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作者:
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