Risk estimation and value-of-information analysis for three proposed genetic screening programs for chronic beryllium disease prevention

被引:20
作者
Bartell, SM [1 ]
Ponce, RA
Takaro, TK
Zerbe, RO
Omenn, GS
Faustman, EM
机构
[1] Univ Washington, Ctr Ecogenet & Environm Hlth, Seattle, WA 98195 USA
[2] Univ Washington, Dept Environm Hlth, Seattle, WA 98105 USA
[3] Univ Washington, Inst Risk Anal & Risk Commun, Seattle, WA 98105 USA
[4] Univ Washington, Consortium Risk Evaluat Stakeholder Participat, Seattle, WA 98105 USA
[5] Univ Washington, Dept Med, Seattle, WA 98105 USA
[6] Univ Washington, Grad Sch Publ Affairs, Seattle, WA 98105 USA
[7] Univ Michigan, Sch Med, Ann Arbor, MI 48109 USA
[8] Univ Michigan, Sch Publ Hlth, Ann Arbor, MI 48109 USA
关键词
value-of-information; beryllium; polymorphism; occupational health; epidemiology;
D O I
10.1111/0272-4332.00009
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Genetic differences (polymorphisms) among members of a population are thought to influence susceptibility to various environmental exposures. In practice, however, this information is rarely incorporated into quantitative risk assessment and risk management. We describe an analytic framework for predicting the risk reduction and value-of-information (VOI) resulting from specific risk management applications of genetic biomarkers, and we apply the framework to the example of occupational chronic beryllium disease (CBD), an immune-mediated pulmonary granulomatous disease. One described Human Leukocyte Antigen gene variant, HLA-DP beta 1*0201, contains a substitution of glutamate for lysine at position 69 that appears to have high sensitivity (similar to 94%) but low specificity (similar to 70%) with respect to CBD among individuals occupationally exposed to respirable beryllium. The expected postintervention CBD prevalence rates for using the genetic variant (1) as a required job placement screen, (2) as a medical screen for semiannual in place of annual lymphocyte proliferation testing, or (3) as a voluntary job placement screen are 0.08%, 0.8%, and 0.6%, respectively, in a hypothetical cohort with 1% baseline CBD prevalence. VOI analysis is used to examine the reduction in total social cost, calculated as the net value of disease reduction and financial expenditures, expected for proposed CBD intervention programs based on the genetic susceptibility test. For the example cohort, the expected net VOI per beryllium worker for genetically based testing and intervention is $13,000, $1,800, and $5,100, respectively, based on a health valuation of $1.45 million per CBD case avoided. VOI results for alternative CBD valuations are also presented. Despite large parameter uncertainty, probabilistic analysis predicts generally positive utility for each of the three evaluated programs when avoidance of a CBD case is valued at $1 million or higher. Although the utility of a proposed risk management program may be evaluated solely in terms of risk reduction and financial costs, decisions about genetic testing and program implementation must also consider serious social,legal, and ethical factors.
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页码:87 / 99
页数:13
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