AIDS and Behavior

, Volume 17, Issue 2, pp 790–800 | Cite as

Effect of Computer-Assisted Interviewing on Self-Reported Sexual Behavior Data in a Microbicide Clinical Trial

  • Pamina M. Gorbach
  • Barbara S. Mensch
  • Marla Husnik
  • Astou Coly
  • Benoit Mâsse
  • Bonus Makanani
  • Chiwawa Nkhoma
  • Lameck Chinula
  • Tchangani Tembo
  • Stan Mierzwa
  • Kimberly Reynolds
  • Stacey Hurst
  • Anne Coletti
  • Andrew Forsyth
Original Paper

Abstract

In a microbicide safety and effectiveness trial (HPTN 035) in Malawi, 585 women completed the same questionnaire through a face-to-face interview (FTFI) and an audio computer-assisted self-interview (ACASI). Concordance between FTFI and ACASI responses ranged from 72.0 % for frequency of sex in the past week to 95.2 % for anal intercourse (AI) in the past 3 months. Reported gel and condom use at last sex act were marginally lower with ACASI than FTFI (73.5 % vs. 77.2 %, p = 0.11 and 60.9 % vs. 65.5 %, p = 0.05, respectively). More women reported AI with ACASI than FTFI (5.0 % vs. 0.2 %, p < 0.001). Analyses of consistency of responses within ACASI revealed that 15.0 % of participants in the condom-only arm and 28.7 % in the gel arm provided at least one discrepant answer regarding total sex acts and sex acts where condom and gel were used (19.2 % reported one inconsistent answer, 8.1 % reported two inconsistent answers, and 1.4 % reported three inconsistent answers). While ACASI may provide more accurate assessments of sensitive behaviors in HIV prevention trials, it also results in a high level of internally inconsistent responses.

Keywords

ACASI interviewing Microbicides Sexual behavior reporting 

References

  1. 1.
    Kashuba AD, Patterson KB, Dumond JB, et al. Pre-exposure prophylaxis for HIV prevention: how to predict success. Lancet. 2012;379(9835):2409–11. Epub 2011 Dec 6.PubMedCrossRefGoogle Scholar
  2. 2.
    Trussell J, Dominik R. Will microbicide trials yield unbiased estimates of microbicide efficacy? Contraception. 2005;72(6):408–13. Epub Aug 24.PubMedCrossRefGoogle Scholar
  3. 3.
    Mâsse BR, Boily MC, Dimitrov D, et al. Efficacy dilution in randomized placebo-controlled vaginal microbicide trials. Emerg Themes Epidemiol. 2009;6(5).Google Scholar
  4. 4.
    Abdool Karim SS, Richardson BA, Ramjee G, et al. Safety and effectiveness of BufferGel and 0.5 % PRO2000 gel for the prevention of HIV infection in women. AIDS. 2011;25(7):957–66.PubMedCrossRefGoogle Scholar
  5. 5.
    Skoler-Karpoff S, Ramjee G, Ahmed K, et al. Efficacy of Carraguard for prevention of HIV infection in women in South Africa: a randomised, double-blind, placebo-controlled trial. Lancet. 2008;372(9654):1977–87.PubMedCrossRefGoogle Scholar
  6. 6.
    Abdool Karim Q, Abdool Karim SS, Frohlich JA, et al. Effectiveness and safety of tenofovir gel, an antiretroviral microbicide, for the prevention of HIV infection in women. Science. 2010;329(5996):1168–74.PubMedCrossRefGoogle Scholar
  7. 7.
    Grant RM, Lama JR, Anderson PL, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363(27):2587–99. Epub Nov 23.PubMedCrossRefGoogle Scholar
  8. 8.
    Van Damme L, Corneli A, Ahmed K, et al. Preexposure prophylaxis for HIV infection among African women. N Engl J Med. 2012;367(5):411–22.PubMedCrossRefGoogle Scholar
  9. 9.
    Berg KM, Arnsten JH. Practical and conceptual challenges in measuring antiretroviral adherence. J Acquir Immune Defic Syndr. 2006;43(suppl 1):S79–87.PubMedCrossRefGoogle Scholar
  10. 10.
    Stirratt MJ, Gordon CM. Adherence to biomedical HIV prevention methods: considerations drawn from HIV treatment adherence research. Current HIV/AIDS Reports. 2008;5(4):186–92.PubMedCrossRefGoogle Scholar
  11. 11.
    Tolley EE, Harrison PF, Goetghebeur E, et al. Adherence and its measurement in phase 2/3 microbicide trials. AIDS Behav. 2010;14(5):1124–36.PubMedCrossRefGoogle Scholar
  12. 12.
    Turner CF, Ku L, Rogers SM, et al. Adolescent sexual behavior, drug use, and violence: increased reporting with computer survey technology. Science. 1998;280(5365):867–73.PubMedCrossRefGoogle Scholar
  13. 13.
    Kissinger P, Rice J, Farley T, et al. Application of computer-assisted interviews to sexual behavior research. Am J Epidemiol. 1999;149(10):950–4.PubMedCrossRefGoogle Scholar
  14. 14.
    Des Jarlais DC, Paone D, Milliken J, et al. Audio-computer interviewing to measure risk behaviour for HIV among injecting drug users: a quasi-randomised trial. Lancet. 1999;353(9165):1657–61.PubMedCrossRefGoogle Scholar
  15. 15.
    Le LC, Blum RW, Magnani R, et al. A pilot of audio computer-assisted self-interview for youth reproductive health research in Vietnam. J Adolesc Health. 2006;38(6):740–7.PubMedCrossRefGoogle Scholar
  16. 16.
    Hewett PC, Mensch BS, Erulkar AS. Consistency in the reporting of sexual behaviour by adolescent girls in Kenya: a comparison of interviewing methods. Sex Transm Infect. 2004;80(Suppl 2):ii43–8.PubMedCrossRefGoogle Scholar
  17. 17.
    Minnis AM, Muchini A, Shiboski S, et al. Audio computer-assisted self-interviewing in reproductive health research: reliability assessment among women in Harare, Zimbabwe. Contraception. 2007;75(1):59–65.PubMedCrossRefGoogle Scholar
  18. 18.
    Plummer ML, Wight D, Ross DA, et al. Asking semi-literate adolescents about sexual behaviour: the validity of assisted self-completion questionnaire (ASCQ) data in rural Tanzania. Trop Med Int Health. 2004;9(6):737–54.PubMedCrossRefGoogle Scholar
  19. 19.
    Gregson S, Zhuwau T, Ndlovu J, et al. Methods to reduce social desirability bias in sex surveys in low-development settings: experience in Zimbabwe. Sex Transm Dis. 2002;29(10):568–75.PubMedCrossRefGoogle Scholar
  20. 20.
    van der Elst EM, Okuku HS, Nakamya P, et al. Is audio computer-assisted self-interview (ACASI) useful in risk behaviour assessment of female and male sex workers, Mombasa, Kenya? PLoS One. 2009;4(5):e5340. Epub 2009/05/05.PubMedCrossRefGoogle Scholar
  21. 21.
    Mensch BS, Hewett PC, Erulkar AS. The reporting of sensitive behavior by adolescents: a methodological experiment in Kenya. Demography. 2003;40(2):247–68.PubMedCrossRefGoogle Scholar
  22. 22.
    Potdar R, Koenig MA. Does Audio-CASI improve reports of risky behavior? Evidence from a randomized field trial among young urban men in India. Stud Fam Plann. 2005;36(2):107–16.PubMedCrossRefGoogle Scholar
  23. 23.
    Mensch BS, Hewett PC, Gregory R, et al. Sexual behavior and STI/HIV status among adolescents in rural Malawi: an evaluation of the effect of interview mode on reporting. Stud Fam Plann. 2008;39(4):321–34.PubMedCrossRefGoogle Scholar
  24. 24.
    NIMH Collaborative HIV/STD Prevention Trial Group. The feasibility of audio computer-assisted self-interviewing in international settings. AIDS. 2007;21(Suppl 2):S49–58.CrossRefGoogle Scholar
  25. 25.
    Mensch BS, Hewett PC, Jones HE, et al. Consistency in women’s reports of sensitive behavior in an interview mode experiment, São Paulo, Brazil. Int Fam Plan Perspect. 2008;34(4):169–76.PubMedCrossRefGoogle Scholar
  26. 26.
    Minnis AM, Steiner MJ, Gallo MF, et al. Biomarker validation of reports of recent sexual activity: results of a randomized controlled study in Zimbabwe. Am J Epidemiol. 2009;170(7):918–24.PubMedCrossRefGoogle Scholar
  27. 27.
    Hewett PC, Mensch BS, Ribeiro MC, et al. Using sexually transmitted infection biomarkers to validate reporting of sexual behavior within a randomized, experimental evaluation of interviewing methods. Am J Epidemiol. 2008;168(2):202–11.PubMedCrossRefGoogle Scholar
  28. 28.
    Mensch BS, Hewett PC, Abbott S, et al. Assessing the reporting of adherence and sexual activity in a simulated microbicide trial in South Africa: an interview mode experiment using a placebo gel. AIDS Behav. 2011;15(2):407–21.PubMedCrossRefGoogle Scholar
  29. 29.
    Tulving E. Elements of episodic memory. New York: Oxford University Press; 1983.Google Scholar
  30. 30.
    Menon G. Judgments of behavioral frequencies: memory search and retrieval strategies. In: Schwarz N, Sudman S, editors. Autobiographical memory and the validity of retrospective reports. New York: Springer; 1994. pp. 161–72.Google Scholar
  31. 31.
    Warnecke RB, Johnson TP, Chávez N, et al. Improving question wording in surveys of culturally diverse populations. Ann Epidemiol. 1997;7(5):334–42.PubMedCrossRefGoogle Scholar
  32. 32.
    Turner AN, De Kock AE, Meehan-Ritter A, et al. Many vaginal microbicide trial participants acknowledged they had misreported sensitive sexual behavior in face-to-face interviews. J Clin Epidemiol. 2009;62(7):759–65. Epub 2008 Nov 14.PubMedCrossRefGoogle Scholar
  33. 33.
    McGowan I, Taylor DJ. Heterosexual anal intercourse has the potential to cause a significant loss of power in vaginal microbicide effectiveness studies. Sex Transm Dis. 2010;37(6):361–4.PubMedGoogle Scholar
  34. 34.
    Kalichman SC, Pinkerton SD, Carey MP, et al. Heterosexual anal intercourse and HIV infection risks in the context of alcohol serving venues, Cape Town, South Africa. BMC Public Health. 2011;11:807.PubMedCrossRefGoogle Scholar
  35. 35.
    Allen CF, Lees SS, Desmond NA, et al. Validity of coital diaries in a feasibility study for the Microbicides Development Programme trial among women at high risk of HIV/AIDS in Mwanza, Tanzania. Sex Transm Infect. 2007;83(6):490–7.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Pamina M. Gorbach
    • 1
  • Barbara S. Mensch
    • 2
  • Marla Husnik
    • 3
  • Astou Coly
    • 1
  • Benoit Mâsse
    • 3
    • 8
  • Bonus Makanani
    • 4
  • Chiwawa Nkhoma
    • 4
  • Lameck Chinula
    • 5
  • Tchangani Tembo
    • 5
  • Stan Mierzwa
    • 2
  • Kimberly Reynolds
    • 5
  • Stacey Hurst
    • 4
  • Anne Coletti
    • 6
  • Andrew Forsyth
    • 7
  1. 1.Department of EpidemiologyUniversity of California, Los AngelesLos AngelesUSA
  2. 2.Population CouncilNew YorkUSA
  3. 3.Fred Hutchinson Cancer Research CenterSeattleUSA
  4. 4.College of Medicine-Johns Hopkins University Research Project, Queen Elizabeth Central HospitalBlantyreMalawi
  5. 5.UNC Project, Tidziwe CentreKamuzu Central HospitalLilongweMalawi
  6. 6.Family Health InternationalMedfordUSA
  7. 7.National Institute of Mental Health, NIHBethesdaUSA
  8. 8.CHU Sainte-Justine Research Center, Université de MontréalMontréalCanada

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