Enhancing Chlamydia Case Data Completeness Using a Text-Based Self-Report Method — Michigan, 2024–2025
- Presentation Day/Time: Wednesday, April 22, 1:45 PM
- Presenter: Meena Hasan, MD, MPH, EIS officer assigned to the Michigan Department of Health and Human Services
The Issue
- Chlamydia is the second most commonly reported infectious disease in Michigan with approximately 40,000 cases reported annually. To improve chlamydia surveillance data completeness, several jurisdictions implemented a text-based self-report questionnaire to supplement routine case investigation methods.
What We Did
- We evaluated effects of implementing the questionnaire on data completeness and examined demographic differences between questionnaire responders and nonresponders.
What We Found
- Among 1,132 patients with chlamydia across eight participating jurisdictions, 238 (33%) responded during the first 90 days of implementation. Within participating jurisdictions, adding the questionnaire significantly improved data completeness for HIV status, pregnancy status, and sexual activity while high. Males had moderately reduced odds of responding relative to women, and non-Hispanic Black patients had lower odds of responding compared with non-Hispanic White patients.
What This Means
- The questionnaire improved completeness of investigation variables, suggesting this method might facilitate disclosure of sensitive information while supplementing staff-driven collection. Modest response rates and variation in response odds suggest a continued need to explore this and other complementary surveillance methods to ensure adequate data capture.
