Tuberculin skin testing of hospital employees: infection, "boosting," and two-step testing. 1984

D E Snider, and G M Cauthen

The prevalence of tuberculous infection (i.e., reactions greater than or equal to 10 mm to 5 tuberculin units of purified protein derivative; Mantoux skin test) was determined among employees of 10 hospitals located throughout the United States. The risk of infection was strongly associated with age and race/ethnicity; nonwhites and older individuals were at higher risk. The prevalence of infection among hospitals varied threefold, from 7.0% to 21.4%. After adjusting for differences in the characteristics of employee groups (e.g., age, race/ethnicity, and sex), twofold differences among hospitals were still observed. The occurrence of "boosting" on retest was also studied. Among the different hospitals, the rate varied from 0% to nearly 10%. Race/ethnicity and age were the characteristics most closely associated with boosting. From our data and other data in the literature, we conclude that all hospitals should use two-step testing at least on a pilot basis. Our calculations suggest that two-step testing for employees over 35 years of age could be cost effective if the booster rate is greater than 1% of the employees retested.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D010564 Personnel, Hospital The individuals employed by the hospital. Hospital Personnel
D003428 Cross Infection Any infection which a patient contracts in a health-care institution. Hospital Infections,Nosocomial Infections,Health Care Associated Infection,Health Care Associated Infections,Healthcare Associated Infections,Infection, Cross,Infections, Hospital,Infections, Nosocomial,Cross Infections,Healthcare Associated Infection,Hospital Infection,Infection, Healthcare Associated,Infection, Hospital,Infection, Nosocomial,Infections, Cross,Infections, Healthcare Associated,Nosocomial Infection
D005189 False Positive Reactions Positive test results in subjects who do not possess the attribute for which the test is conducted. The labeling of healthy persons as diseased when screening in the detection of disease. (Last, A Dictionary of Epidemiology, 2d ed) False Positive Reaction,Positive Reaction, False,Positive Reactions, False,Reaction, False Positive,Reactions, False Positive
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age
D012306 Risk The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome. Relative Risk,Relative Risks,Risk, Relative,Risks,Risks, Relative

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