Comparison of asbestos exposure assessments by next-of-kin respondents, by an occupational hygienist, and by a job-exposure matrix from the National Occupational Hazard Survey

Nam, Jun-Mo; Rice, Carol; Gail, Mitchell H.

doi:10.1002/ajim.20168

Cited by 22 publications

(13 citation statements)

References 23 publications

(39 reference statements)

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“…The real percent disagreement was not really that much more for spouses than for other subgroups of proxies. The generally high ability of surrogate responders to give interviews of comparable quality and completeness of exposure data was reported by Nam et al [17], Pickle et al [18], and Cordiero [11]. Similar results were found by Campbell et al [19], who applied the polytomous logistic regression models analyzing the utility of proxy versus index respondent information in a population-based case-control study of rapidly fatal cancers.…”

Section: Discussionsupporting

confidence: 68%

Reliability of Family Proxy Data for Studies of Malignant Mesothelioma: Results from the ATSDR Pilot Surveillance

Melnikova

Kaye

et al. 2013

ISRN Oncology

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Objective. To evaluate the validity of proxy interviews in obtaining information on persons with rapidly fatal diseases such as malignant mesothelioma (MM). Methods. Persons with MM diagnosed in 2002 through 2005 in New York and New Jersey and 1997–2004 in Wisconsin were eligible for inclusion in the project. Persons with MM and their family member proxy were interviewed using the same questionnaire designed by ATSDR to collect information on potential direct or indirect occupational and environmental exposure to asbestos, genetic, and health related malignancy predisposition, and exposure to tobacco products. Descriptive statistics and the McNemar/Durkalski test were used to analyze 33 matched pairs. Results. The overall study confirmed a generally high ability of proxies to give interviews of comparable quality and completeness when asked dichotomous questions. The reliability of information collected from proxies varied by topic and family relationship. Conclusions. Family proxy interviews, using dichotomous responses, can serve as an acceptable source of information about health and exposure-related risk factors for MM.

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Section: Discussionsupporting

confidence: 68%

Reliability of Family Proxy Data for Studies of Malignant Mesothelioma: Results from the ATSDR Pilot Surveillance

Melnikova

Kaye

et al. 2013

ISRN Oncology

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“…In addition, only a few studies assessed agreement on jobs, while most of them compared occupational exposures 3 4 20. Also, most of the published evidence is derived from case–control studies, where the chance of misclassification varies between cases and controls, and this difference may lead to both non-differential and differential misclassification 24 33–35.…”

Section: Discussionmentioning

confidence: 99%

“…A number of studies have examined the validity of proxy-responses of occupational exposure. Comparison of asbestos exposure using reports by the next of kin and an assessment by an occupational hygienist demonstrated that proxy-assessment by a relative, regardless of whether it was a spouse or other relative, had a higher agreement with the expert's assessment (κ 0.47, prevalence index (PI) 0.36, bias index (BI) 0.24) in cases than in controls (κ 0.19, PI 0.43, BI 0.35) 4. Studies which compared proxy-reports of occupational exposure with self-reports found that the reliability of proxy-derived data declined with increased requirement for detail or increased recall time 5 6.…”

Section: Introductionmentioning

confidence: 99%

Reconstructing past occupational exposures: how reliable are women's reports of their partner's occupation?

et al. 2010

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Objectives Most of the evidence on agreement between self-and proxy-reported occupational data comes from interview-based studies. The authors aimed to examine agreement between women's reports of their partner's occupation and their partner's own description using questionnaire-based data collected as a part of the prospective, population-based Avon Longitudinal Study of Parents and Children. Methods Information on present occupation was self-reported by women's partners and proxy-reported by women through questionnaires administered at 8 and 21 months after the birth of a child. Job titles were coded to the Standard Occupational Classification (SOC2000) using software developed by the University of Warwick (Computer-Assisted Structured Coding Tool). The accuracy of proxy-report was expressed as percentage agreement and kappa coefficients for four-, three-and two-digit SOC2000 codes obtained in automatic and semiautomatic (manually improved) coding modes. Data from 6016 couples at 8 months and 5232 couples at 21 months postnatally were included in the analyses. Results The agreement between men's self-reported occupation and women's report of their partner's occupation in fully automatic coding mode at four-, threeand two-digit code level was 65%, 71% and 77% at 8 months and 68%, 73% and 76% at 21 months. The accuracy of agreement was slightly improved by semiautomatic coding of occupations: 73%/73%, 78%/ 77% and 83%/80% at 8/21 months respectively. While this suggests that women's description of their partners' occupation can be used as a valuable tool in epidemiological research where data from partners are not available, this study revealed no agreement between these young women and their partners at the two-digit level of SOC2000 coding in approximately one in five cases. Conclusion Proxy reporting of occupation introduces a statistically significant degree of error in classification. The effects of occupational misclassification by proxy reporting in retrospective occupational epidemiological studies based on questionnaire data should be considered.

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“…A population‐based case‐control study was conducted to assess the association between asbestos exposure and mesothelioma . Cases were selected from three sources between 1975 and 1980: the New York State Health Department Cancer Registry, the Los Angeles County Cancer Surveillance Program, and 39 Veterans Administration Hospitals.…”

Section: Asbestos Exposure and Mesothelioma: A Case Studymentioning

confidence: 99%

A Bayesian approach to strengthen inference for case‐control studies with multiple error‐prone exposure assessments

Zhang

Cole

Richardson

et al. 2013

Statistics in Medicine

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In case-control studies, exposure assessments are almost always error-prone. In the absence of a gold standard, two or more assessment approaches are often used to classify people with respect to exposure. Each imperfect assessment tool may lead to misclassification of exposure assignment; the exposure misclassification may be differential with respect to case status or not; and, the errors in exposure classification under the different approaches may be independent (conditional upon the true exposure status) or not. Although methods have been proposed to study diagnostic accuracy in the absence of a gold standard, these methods are infrequently used in case-control studies to correct exposure misclassification that is simultaneously differential and dependent. In this paper, we proposed a Bayesian method to estimate the measurement-error corrected exposure-disease association, accounting for both differential and dependent misclassification. The performance of the proposed method is investigated using simulations, which show that the proposed approach works well, as well as an application to a case-control study assessing the association between asbestos exposure and mesothelioma.

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Comparison of asbestos exposure assessments by next-of-kin respondents, by an occupational hygienist, and by a job-exposure matrix from the National Occupational Hazard Survey

Cited by 22 publications

References 23 publications

Reliability of Family Proxy Data for Studies of Malignant Mesothelioma: Results from the ATSDR Pilot Surveillance

Reliability of Family Proxy Data for Studies of Malignant Mesothelioma: Results from the ATSDR Pilot Surveillance

Reconstructing past occupational exposures: how reliable are women's reports of their partner's occupation?

A Bayesian approach to strengthen inference for case‐control studies with multiple error‐prone exposure assessments

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