Abstract：
OBJECTIVE:To determine the sexually transmitted diseases (STD) surveillance system sensitivity with a conditional probability approach at district level in Darregaz, a frontier town in the north of Iran. STUDY DESIGN:A cross-sectional survey. METHODS:We used a sample survey of sexually active inhabitants for proxy measurement of the medical service utilization pattern for STD, and interviews with all practitioners to determine their knowledge of STD diagnosis and attitude towards STD reporting as proxy measures of actual STD diagnosis and reporting, respectively. Point estimates of the STD surveillance system sensitivity for each of the health service sectors were derived from multiplying the three proxy measures of sensitivity determinants, i.e., utilization, diagnosis, and reporting, as conditional probabilities. Estimates of sensitivity for all health service sectors were summed to obtain the overall sensitivity. RESULTS:The sensitivity of the surveillance system was 21.2% (95% confidence interval (CI) 15.5-25.3%) for detecting symptomatic STD. Of the sexually active inhabitants, 8.9% (95% CI 5.5-14.2%) did not use health services if they contracted STDs. The public health sector's contribution to overall sensitivity (59.6%) was greater than its proportion of service utilization for STD (45.3%). CONCLUSIONS:The strengths of the conditional probability approach are feasibility of conducting necessary surveys, decomposing sensitivity into its determinants, and providing evidence for intervention at different points for planning purposes. This approach tends to overestimate the overall sensitivity.
journal_name
Public Healthjournal_title
Public healthauthors
Majdzadeh R,Pourmalek Fdoi
10.1016/j.puhe.2007.04.011subject
Has Abstractpub_date
2008-01-01 00:00:00pages
53-60issue
1eissn
0033-3506issn
1476-5616pii
S0033-3506(07)00149-7journal_volume
122pub_type
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