Loading…

Decision Analytic Approach to the Management of Gonorrhea Contacts

We used a combination of decision analytic and modeling techniques in constructing a model for study of the management of an asymptomatic woman presenting to a sexually transmitted disease clinic as a contact of a man with gonorrhea. Total cost (physical, emotional, and economic) is expressed in uni...

Full description

Saved in:
Bibliographic Details
Published in:Sexually transmitted diseases 1984-07, Vol.11 (3), p.137-147
Main Authors: TURSHEN, I. JEFFREY, WHITE, CHELSEA C., THEODORIDIS, GEORGE C., REIN, MICHAEL F.
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We used a combination of decision analytic and modeling techniques in constructing a model for study of the management of an asymptomatic woman presenting to a sexually transmitted disease clinic as a contact of a man with gonorrhea. Total cost (physical, emotional, and economic) is expressed in units of dysutility. Initially the probabilities and "costs" of anogenital gonorrhea, incubating syphilis, carriage of the agents of nongonococcal urethritis, and coincident pharyngeal gonorrhea are considered; complications and sequelae are then accounted for. The best strategy is to culture for Neisseria gonorrhoeae, treat immediately with tetracycline, and follow up sexual partners if the culture is positive. Dysutility values calculated for the strategies of just treating with standard regimens of tetracycline, procaine penicillin, or amoxicillin are 288, 310, and 560, respectively. Sensitivity analyses show that the most important factors in determining optimal strategy are the probabilities and costs associated with the patient's carriage of the agents of nongonococcal urethritis. In order for this decision to change, the dysutility value for nongonococcal urethritis would have to decrease to 17% of our best estimate, or the overall prevalence of nongonococcal urethritis would have to be reduced to 16% of our best estimate.
ISSN:0148-5717
1537-4521
DOI:10.1097/00007435-198407000-00004