Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.
Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.
复制标题
DOI:
10.1093/aje/kwn249
复制
发表时间:
2008-12-01
影响因子:
5
通讯作者:
Harrison LH
中科院分区:
文献类型:
--
作者:
Pacheco AG;Saraceni V;Tuboi SH;Moulton LH;Chaisson RE;Cavalcante SC;Durovni B;Faulhaber JC;Golub JE;King B;Schechter M;Harrison LH
Loss to follow-up is a major source of bias in cohorts of patients with human immunodeficiency virus (HIV) and could lead to underestimation of mortality. The authors developed a hierarchical deterministic linkage algorithm to be used primarily with cohorts of HIV-infected persons to recover vital status information for patients lost to follow-up. Data from patients known to be deceased in 2 cohorts in Rio de Janeiro, Brazil, and data from the Rio de Janeiro State mortality database for 1999–2006 were used to validate the algorithm. A fully automated procedure yielded a sensitivity of 92.9% and specificity of 100% when no information was missing. When the automated procedure was combined with clerical review, in a scenario of 5% death prevalence and 20% missing mothers’ names, sensitivity reached 96.5% and specificity 100%. In a practical application, the algorithm significantly increased death rates and decreased the rate of loss to follow-up in the cohorts. The finding that 23.9% of matched records did not give HIV or acquired immunodeficiency syndrome as the cause of death reinforces the need to search all-cause mortality databases and alerts for possible underestimation of death rates. These results indicate that the algorithm is accurate enough to recover vital status information on patients lost to follow-up in cohort studies.
登录
查看更多内容
影响因子:
56.9
作者:
NEWCOMBE, HB;KENNEDY, JM;JAMES, AP
通讯作者:
JAMES, AP
影响因子:
2
作者:
Gomatam, S;Carter, R;Mitchell, G
通讯作者:
Mitchell, G
影响因子:
120.7
作者:
Frisch, M;Biggar, RJ;Goedert, JJ
通讯作者:
Goedert, JJ
影响因子:
168.9
作者:
Braitstein, P;Brinkhof, MWG;Egger, M
通讯作者:
Egger, M
DOI:
10.1080/14639230400005974
发表时间:
2004-09-01
期刊:
MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE
影响因子:
--
作者:
Quantin, C;Binquet, C;Allaert, FA
通讯作者:
Allaert, FA