A novel approach to mixing qualitative and quantitative methods in HIV and STI prevention research

AIDS Educ Prev. 2014 Apr;26(2):95-108. doi: 10.1521/aeap.2014.26.2.95.

Abstract

Mixed-method designs are increasingly used in sexually transmitted infection (STI) and HIV prevention research. The authors designed a mixedmethod approach and applied it to estimate and evaluate a predictor of continued female condom use (6+ uses, among those who used it at least once) in a 6-month prospective cohort study. The analysis included 402 women who received an intervention promoting use of female and male condoms for STI prevention and completed monthly quantitative surveys; 33 also completed a semistructured qualitative interview. The authors identified a qualitative theme (couples' female condom enjoyment [CFCE]), applied discriminant analysis techniques to estimate CFCE for all participants, and added CFCE to a multivariable logistic regression model of continued female condom use. CFCE related to comfort, naturalness, pleasure, feeling protected, playfulness, ease of use, intimacy, and feeling in control of protection. CFCE was associated with continued female condom use (adjusted odds ratio: 2.8, 95% confidence interval: 1.4-5.6) and significantly improved model fit (p < .001). CFCE predicted continued female condom use. Mixed-method approaches for "scaling up" qualitative findings from small samples to larger numbers of participants can benefit HIV and STI prevention research.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Alabama
  • Condoms / statistics & numerical data*
  • Condoms, Female / statistics & numerical data
  • Female
  • HIV Infections / prevention & control*
  • Health Knowledge, Attitudes, Practice
  • Health Promotion / methods
  • Health Surveys
  • Humans
  • Interviews as Topic
  • Logistic Models
  • Male
  • Prospective Studies
  • Qualitative Research
  • Sexual Behavior*
  • Sexual Partners
  • Sexually Transmitted Diseases / prevention & control*
  • Socioeconomic Factors