Nam Jun-mo, Rice Carol, Gail Mitchell H
Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health & Human Services, Bethesda, Maryland, USA.
Am J Ind Med. 2005 May;47(5):443-50. doi: 10.1002/ajim.20168.
Assessments of occupational exposures in case-control studies of rapidly fatal illnesses often rely on data from next-of-kin respondents, which may be inaccurate.
Three methods for assessing exposure to asbestos from case-control data on mesothelioma, including next-of-kin assessment, expert assessment, and use of a generic job-exposure matrix (JEM). Interview data [Spirtas et al. (1994): Occup Environ Med 51:804-811] were reviewed to determine exposure status by an occupational hygienist (C.R.) who was unaware of disease status. Exposure odds ratios were calculated using standard methods, and measures of agreement included the kappa statistic and conditional and marginal odds ratios.
Expert assessment detected higher proportions of exposed subjects than the next-of-kin respondents or JEM methods. The disease-exposure odds ratios were highest for respondents, perhaps because of recall bias, and lowest for the JEM method. The agreement was highest between the respondent and expert assessments. A combination of respondent's assessment and JEM assessment led to the best prediction of the expert's assessment. Results for spouse respondents were similar to those for other "next-of-kin" respondents.
Expert assessments were the most plausible, but the data indicate that disease associations could also be detected with the other exposure assessment methods. Using some combination of the proxy respondent's assessment and the JEM assessment, one can predict the expert's assessment. A strategy that relied on the respondent's assessment when it was positive and otherwise obtained an expert assessment could reduce costs with little error, compared to expert assessment on all subjects.
在对快速致命疾病进行的病例对照研究中,职业暴露评估通常依赖于近亲受访者提供的数据,而这些数据可能不准确。
三种从间皮瘤病例对照数据评估石棉暴露的方法,包括近亲评估、专家评估以及使用通用职业暴露矩阵(JEM)。职业卫生学家(C.R.)在不知道疾病状况的情况下审查访谈数据[Spirtas等人(1994年):《职业与环境医学》51:804 - 811]以确定暴露状况。使用标准方法计算暴露比值比,一致性度量包括kappa统计量以及条件和边际比值比。
与近亲受访者或JEM方法相比,专家评估检测出的暴露受试者比例更高。受访者的疾病 - 暴露比值比最高,可能是由于回忆偏倚,而JEM方法的比值比最低。受访者评估与专家评估之间的一致性最高。受访者评估与JEM评估相结合能对专家评估做出最佳预测。配偶受访者的结果与其他“近亲”受访者的结果相似。
专家评估最具合理性,但数据表明使用其他暴露评估方法也能检测到疾病关联。通过将代理受访者评估和JEM评估相结合的某种方式,可以预测专家评估。与对所有受试者进行专家评估相比,一种在受访者评估为阳性时依赖其评估否则进行专家评估的策略可以在几乎不产生误差的情况下降低成本。