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An Approach to Reducing Problematic Data in an ACASI Sexual Behavior Assessment.

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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.