Tuberculosis risk for hospital employees: analysis of a five-year tuberculin skin testing program.
- 1 November 1981
- journal article
- research article
- Published by American Public Health Association in American Journal of Public Health
- Vol. 71 (11) , 1217-1222
- https://doi.org/10.2105/ajph.71.11.1217
Abstract
This study of hospital employee tuberculin conversion rates was undertaken in a 516-bed urban general hospital to determine if employment in such a hospital placed employees at risk of infection with tuberculosis. Data collected on the tuberculin status of employees from 1971 through 1976 indicated that the five-year conversion rate for all employees in a hospital-wide testing program was 7.1 per cent. Employees at greatest risk for conversion were non-White, age 46 through 64, in the lowest socioeconomic quintile, and employed in the Laundry, Housekeeping, and Engineering and Maintenance Departments. It was concluded that the higher than expected employee conversion rate was not attributable to exposure to infectious patients, but to a combination of the booster effect in serial tuberculin testing, use of a multiple puncture device for skin tests, and exposure to tuberculosis in the community.This publication has 10 references indexed in Scilit:
- BOOSTER PHENOMENON IN SERIAL TUBERCULIN TESTINGPublished by Elsevier ,1979
- TUBERCULIN CONVERSIONS - TRUE OR FALSE1978
- ANALYSIS OF A COMMUNITY-HOSPITAL EMPLOYEE TUBERCULOSIS SCREENING-PROGRAM 31 MONTHS AFTER ITS INCEPTIONPublished by Elsevier ,1977
- Tuberculosis in a community hospital. A five-year review.1976
- Tuberculosis in a Community HospitalJAMA, 1976
- Tuberculosis in a community hospital. A five-year reviewPublished by American Medical Association (AMA) ,1976
- Serial Tuberculin Testing and Isoniazid Therapy in General Hospital EmployeesJAMA, 1971
- Serial tuberculin testing and isoniazid therapy in general hospital employeesPublished by American Medical Association (AMA) ,1971
- The hazard is relative.Published by Elsevier ,1967
- A Binary Variable Multiple Regression Method of Analysing Factors affecting Peri-Natal Mortality and other Outcomes of PregnancyJournal of the Royal Statistical Society. Series A (General), 1966