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An Approach to Reducing Problematic Data in an ACASI Sexual Behavior Assessment
Lance M Pollack1, John A Sauceda1, Paul D Cotten1
1Center for AIDS Prevention Studies, University of California San Francisco.
Journal of Sex Research
|June 6, 2020
Summary
Improving sexual behavior surveys with conversational elements reduces errors and non-response. This enhances data accuracy for HIV and STI prevention interventions.
Area of Science:
- Public Health
- Behavioral Science
- Epidemiology
Background:
- Self-reported sexual behavior data is crucial for HIV and STI prevention research.
- Inaccurate data from surveys can lead to the rejection of effective interventions.
- Challenges include non-response, inaccurate estimates, and misclassification errors.
Purpose of the Study:
- To improve the accuracy of self-reported sexual behavior data.
- To reduce errors in surveys assessing sexual behaviors among gay bathhouse patrons.
- To evaluate the effectiveness of conversational interviewing elements in surveys.
Main Methods:
- Incorporated conversational interviewing elements (alternate pathways) into 20 sexual behavior questions.
- Used Audio Computer Assisted Self-Interviewing (ACASI) for an exit survey of 459 gay bathhouse patrons.
- Alternate pathways included confirmation follow-up questions, confidentiality assurances, and "don't know" options.
Main Results:
- Conversational elements were invoked by nearly 10% of participants.
- Approximately 74% of invocations resulted in usable numeric responses (87% for prevalence estimates).
- Most data issues (two-thirds) occurred in sexual contact questions.
Conclusions:
- Conversational interviewing elements can significantly improve the quality of sexual behavior data.
- This approach is particularly beneficial for critical filtering questions in surveys.
- Enhanced data accuracy supports more reliable evaluation of HIV and STI prevention strategies.
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